Author: "Han, B." / Topic: gene expression - Searchworks@Jio Institute Digital Library Search Results

32 results on '"Han, B."'

1. One potential biomarker for teratozoospermia identified by in-depth integrative analysis of multiple microarray data.

Author: Han B, Wang L, Yu S, Ge W, Li Y, Jiang H, Shen W, and Sun Z
Subjects: Adult, Computational Biology, Humans, Male, Oligonucleotide Array Sequence Analysis, Teratozoospermia genetics, Teratozoospermia metabolism, Biomarkers metabolism, Gene Expression, Gene Expression Profiling methods, Teratozoospermia diagnosis
Abstract: Teratozoospermia is a common category of male infertility and with the increase in clinical patients and the increasing sophistication of assisted reproductive technology, there is an urgent need for an accurate semen diagnostic biomarker to accomplish rapid diagnosis of patients with teratozoospermia and accurately assess the success rate of assisted reproductive technologies. In this study, we performed gene differential expression analysis on two publicly available DNA microarray datasets (GSE6872 and GSE6967), followed by GSEA analysis to parse their enriched KEGG pathways, and WGCNA analysis to obtain the most highly correlated modules. Subsequent in-depth comparative analysis of the modules screened into the two datasets resulted in a gene set containing the identical expression trend, and then the differentially expressed genes in the set were screened using the corresponding criteria. Finally, three differentially expressed genes common to both datasets were selected. In addition, we validated the expression changes of this gene using another dataset (GSE6968) and in vitro experiments, and only screened one potential semen biomarker gene whose expression trend was identical to those in other datasets, which will also provide an important theoretical basis for the diagnosis and treatment of teratozoospermia.
Published: 2021
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2. Effects of graded levels of starch on the non-specific immune responses, antioxidant capacities and intestinal health in Chinese mitten crab, Eriocheir inensis.

Author: Miao S, Hu J, Wan W, Xia S, Han B, Zhou Y, Dong X, and Sun L
Subjects: Animals, Brachyura drug effects, Dose-Response Relationship, Drug, Intestines drug effects, Antioxidants metabolism, Brachyura immunology, Citrobacter freundii physiology, Gene Expression immunology, Immunity, Innate drug effects, Intestines immunology, Starch administration & dosage
Abstract: A 9-week feeding trial was conducted to investigate the effects of graded levels of dietary starch (12%, 17%, 22%, 27% and 32%) on growth, non-specific immune responses, antioxidant capacities, immunity genes expression levels and pathogen resistance in Chinese mitten crab, Eriocheir inensis (initial body weight: 10.5 ± 0.5 g). Results showed that the highest weight gain rate of crabs was obtained in group containing 22% dietary starch. The highest activity of acid phosphatase, phenoloxidase and lysozyme in blood was found in crabs fed with 22-27% dietary starch. Additionally, 17%-27% dietary starch significantly increased the activities of superoxide dismutase and glutathione peroxidase, reduced malondinaldehyde content and then increased the total antioxidant capacities in hepatopancreas of crabs. The highest activity of alanine aminotransferase and aspartate aminotransferase was found in crabs fed with 32% dietary starch, indicating that excess starch had a negative effect on the liver function of crabs. With the dietary starch level increased, the transcription factors gene expression of the pro-inflammatory factors were significantly up-regulated, and the highest ILF2, IL-16, Relish and ADAM10 was found in crabs fed with dietary 32% starch, which may potentially promote the inflammatory response in intestines. Moreover, with the dietary starch increased, the activity of phenoloxidase and lysozyme, as well as the gene expression of crustin, were all increased in crabs after challenge against Citrobacter freundii, which demonstrated that additional dietary starch could provide immune-protection and help crabs improve their resistance against pathogens. In conclusion, these results suggest that adequate dietary starch can increase growth, enhance innate immune responses and promote disease resistance, reduce oxidative stress and inflammatory response in E. inensis. Taken together, 22-27% dietary starch (25.9-30.8% dietary carbohydrate) was suggested as a digestible energy source in crabs feed., (Copyright © 2020. Published by Elsevier Ltd.)
Published: 2020
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3. Beta-glucan's varying structure characteristics modulate survival and immune-related genes expression from Vibrio harveyi-infected Artemia franciscana in gnotobiotic conditions.

Author: Han B, Baruah K, Nguyen DV, Williams DL, Devriendt B, Cox E, and Bossier P
Subjects: Adjuvants, Immunologic chemistry, Animals, Artemia drug effects, Gene Expression drug effects, Immunity, Innate drug effects, Particle Size, Vibrio physiology, beta-Glucans chemistry, Adjuvants, Immunologic pharmacology, Artemia immunology, Gene Expression immunology, Germ-Free Life immunology, Immunity, Innate genetics, beta-Glucans pharmacology
Abstract: β-Glucans have long been used as an immunostimulant in aquaculture. However, the relationship of its structure to its immunomodulatory properties are poorly understood. In this study, the particle size and chemical structure of β-glucans extracted from wild-type strain of baker's yeast (Saccharomyces cerevisiae) and its null-mutant yeasts Gas1 were characterised. Using Sigma β-glucan as a reference, the immunomodulatory properties of these polysaccharides in the germ-free Artemia franciscana model system in the presence of Vibrio harveyi bacterial challenge were investigated. The survival of the A. franciscana nauplii, upon challenge with V. harveyi, was significantly higher in all three glucan-treated groups compared to the control. The glucan Gas1 with a lower degree of branching and shorter side chain length had the most prominent V. harveyi-protective effects. The particle size did not affect the nauplii survival when challenged with V. harveyi. Results also showed that the salutary effect of the tested glucans was associated with the upregulation of innate immune genes such as lipopolysaccharide and β-1,3-glucan-binding protein (lgbp), high mobility group box protein (hmgb), and prophenoloxidase (proPO). Interestingly, the up-regulation of superoxidase dismutase (sod) and glutathione-s-transferase (gst) was only observed in Gas1 treated group, indicating that Gas1 could function to induce higher reactive oxygen species and stronger immunomodulatory function in A. franciscana, and therefore higher survival rate. The expression of heat shock protein 70 (hsp70), peroxinectin (pxn), and down syndrome cell adhesion molecule (dscam) remain unaltered in response to glucan treatment. Taken together, this study provides insights into the structure-function relationship of β-glucan and the results confirmed that β-glucan can be an effective immunostimulant in aquaculture, especially the Gas1 glucan., (Copyright © 2020 Elsevier Ltd. All rights reserved.)
Published: 2020
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4. Genetic association of DDIT3, RPL23A, SESN2 and NR4A1 genes with milk yield and composition in dairy cattle.

Author: Li Y, Han B, Liu L, Zhao F, Liang W, Jiang J, Yang Y, Ma Z, and Sun D
Subjects: Animals, Cattle, Female, Genetic Association Studies veterinary, Haplotypes, Linkage Disequilibrium, Mammary Glands, Animal metabolism, Sequence Analysis, DNA veterinary, Gene Expression, Milk chemistry, Milk metabolism, Polymorphism, Single Nucleotide
Abstract: Previously, we identified by RNA sequencing that DDIT3, RPL23A, SESN2 and NR4A1 genes were significantly differentially expressed between the mammary glands of lactating Holstein cows with extremely high and low milk protein and fat percentages; thus, these four genes are considered as promising candidates potentially affecting milk yield and composition traits in dairy cattle. In the present study, we further verified whether these genes have genetic effects on milk traits in a Chinese Holstein population. By re-sequencing part of the non-coding and the entire coding regions of the DDIT3, RPL23A, SESN2 and NR4A1 genes, a total of 35 SNPs and three insertions/deletions were identified, of which three were found in DDIT3, 12 in RPL23A, 16 in SESN2 and seven in NR4A1. Moreover, two of the insertions/deletions-g.125714860_125714872del and g.125714806delinsCCCC in SESN2-were novel and have not been reported previously. Subsequent single SNP analyses revealed multiple significant association with all 35 SNPs and three indels regressed against the dairy production traits (P-value = <0.0001-0.0493). In addition, with a linkage disequilibrium analysis, we found one, one, three, and one haplotype blocks in the DDIT3, RPL23A, SESN2 and NR4A1 genes respectively. Haplotype-based association analyses revealed that some haplotypes were also significantly associated with milk production traits (P-value = <0.0001-0.0461). We also found that 12 SNPs and two indels (two in DDIT3, two in RPL23A, nine in SESN2 and one in NR4A1) altered the specific transcription factor binding sites in the promoter, thereby regulating promoter activity, suggesting that they might be promising potential functional variants for milk traits. In summary, our findings first determined the genetic associations of DDIT3, RPL23A, SESN2 and NR4A1 with milk yield and composition traits in dairy cattle and also suggested potentially causal variants, which require in-depth validation., (© 2019 Stichting International Foundation for Animal Genetics.)
Published: 2019
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5. PD-L1 expression and its relationship with oncogenic drivers in non-small cell lung cancer (NSCLC).

Author: Jiang L, Su X, Zhang T, Yin X, Zhang M, Fu H, Han H, Sun Y, Dong L, Qian J, Xu Y, Fu X, Gavine PR, Zhou Y, Tian K, Huang J, Shen D, Jiang H, Yao Y, Han B, and Gu Y
Subjects: Aged, Aged, 80 and over, B7-H1 Antigen metabolism, CTLA-4 Antigen genetics, CTLA-4 Antigen metabolism, Carcinoma, Non-Small-Cell Lung metabolism, Carcinoma, Non-Small-Cell Lung surgery, Cell Transformation, Neoplastic genetics, Female, Gene Amplification, Humans, Immunohistochemistry, In Situ Hybridization, Fluorescence, Lung Neoplasms metabolism, Lung Neoplasms surgery, Lymphocytes, Tumor-Infiltrating immunology, Lymphocytes, Tumor-Infiltrating metabolism, Male, Middle Aged, Mutation, Neoplasm Grading, Neoplasm Staging, Programmed Cell Death 1 Receptor genetics, Programmed Cell Death 1 Receptor metabolism, B7-H1 Antigen genetics, Biomarkers, Tumor, Carcinoma, Non-Small-Cell Lung genetics, Carcinoma, Non-Small-Cell Lung pathology, Gene Expression, Lung Neoplasms genetics, Lung Neoplasms pathology
Abstract: In order to explore the potential patient population who could benefit from anti PD-1/PD-L1 mono or combination therapies, this study aimed to profile a panel of immunotherapy related biomarkers (PD-1, PD-L1, CTLA-4 and CD8) and targeted therapy biomarkers (EGFR, KRAS, ALK, ROS1 and MET) in NSCLC.Tumor samples from 297 NSCLC patients, including 156 adenocarcinomas (AD) and 129 squamous cell carcinomas (SCC), were analyzed using immunohistochemistry, immunofluorescence, sequencing and fluorescence in situ hybridization.43.1% of NSCLC patients had PD-L1 positive staining on ≥ 5% tumor cells (TC). Furthermore, dual color immunofluorescence revealed that the majority of PD-L1/CD8 dual positive tumor infiltrating lymphocytes (TIL) had infiltrated into the tumor core. Finally, combined analysis of all eight biomarkers showed that tumor PD-L1 positivity overlapped with known alterations in NSCLC oncogenic tumor drivers in 26% of SCC and 76% of AD samples.Our illustration of the eight biomarkers' overlap provides an intuitive overview of NSCLC for personalized therapeutic strategies using anti-PD-1/PD-L1 immune therapies, either as single agents, or in combination with targeted therapies. For the first time, we also report that PD-L1 and CD8 dual positive TILs are predominantly located within the tumor core.
Published: 2017
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6. Overexpression of Transforming Acidic Coiled Coil‑Containing Protein 3 Reflects Malignant Characteristics and Poor Prognosis of Glioma.

Author: Sun Y, Tian Y, Wang GZ, Zhao SH, Han B, Li YL, and Jiang CL
Subjects: Adult, Aged, Cluster Analysis, Combined Modality Therapy, Computational Biology, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Gene Regulatory Networks, Glioma mortality, Glioma therapy, Humans, Kaplan-Meier Estimate, Male, MicroRNAs genetics, Middle Aged, Neoplasm Grading, Prognosis, Proportional Hazards Models, Treatment Outcome, Biomarkers, Tumor, Gene Expression, Glioma diagnosis, Glioma genetics, Microtubule-Associated Proteins genetics
Abstract: Gliomas are malignant primary brain tumors with poor prognosis. Recently, research was indicative of a tight connection between tumor malignancy and genetic alterations. Here, we propose an oncogenic implication of transforming acidic coiled-coil-containing protein 3 (TACC3) in gliomas. By comprehensively analyzing the Chinese glioma genome atlas (CGGA) and publicly available data, we demonstrated that TACC3 were overexpressed along with glioma grade and served as an independent negative prognostic biomarker for glioma patients. Functions' annotations and gene sets' enrichment analysis suggested that TACC3 may participate in cell cycle, DNA repair, epithelium-mesenchymal transition and other tumor-related biological processes and molecular pathways. Patients with high TACC3 expression showed CD133⁺ stem cell properties, glioma plasticity and shorter overall survival time under chemo-/radio-therapy. Additionally, a TACC3 associated the miRNA-mRNA network was constructed based on in silico prediction and expression pattern, which provide a foundation for further detection of TACC3-miRNA-mRNA axis function. Collectively, our observations identify TACC3 as an oncogene of tumor malignancy, as well as a prognostic and motoring biomarker for glioma patients.
Published: 2017
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7. Global gene expression profiling of human bronchial epithelial cells exposed to airborne fine particulate matter collected from Wuhan, China.

Author: Ding X, Wang M, Chu H, Chu M, Na T, Wen Y, Wu D, Han B, Bai Z, Chen W, Yuan J, Wu T, Hu Z, Zhang Z, and Shen H
Subjects: Apoptosis drug effects, Bronchi cytology, Bronchi drug effects, Cell Cycle drug effects, Cell Line, Cell Survival drug effects, China, Humans, Microarray Analysis, Real-Time Polymerase Chain Reaction, Air Pollutants toxicity, Bronchi metabolism, Epithelial Cells metabolism, Gene Expression drug effects, Gene Expression Profiling, Particulate Matter toxicity
Abstract: Background: Many studies have linked ambient fine particulate matter (PM2.5) air pollution to different cardiopulmonary diseases in the general population. However the complex mechanisms underlying PM2.5-induced adverse health effects are not yet to be fully elucidated., Method: In this study, we aimed to identify genes and pathways that may contribute to PM2.5-induced lung toxicity in humans through genome-wide approaches. Human bronchial epithelial (HBE) cells, exposed to various concentrations of PM2.5 collected from Wuhan, China, showed decreased cell viability in a dose-dependent manner. HBE cells were exposed to 200 μg/ml and 500 μg/ml PM2.5 and microarrays were used to obtain a global view of the transcriptomic responses., Results: A total of 970 and 492 genes were identified that significantly changed after 200 μg/ml and 500 μg/ml PM2.5 exposures, respectively. PM2.5 induced a large number of genes involved in inflammatory and immune response, response to oxidative stress, and response to DNA damage stimulus, which might contribute to PM2.5 related cardiopulmonary diseases. Pathway analysis revealed that different dose of PM2.5 triggered partially common disturbed pathways. Flow cytometry assay evidenced that there were statistically significant differences in the G1 phase of cell cycle after low or high-dose PM2.5 exposure when compared to the unexposed controls. Only high-dose PM2.5 significantly increased the proportion of cells in the S phase of cell cycle., Conclusion: We identified many genes and pathways that altered significantly in HBE cells after PM2.5 exposures. These findings are important in providing further understanding of the mechanisms underlying PM2.5-induced adverse health effects., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)
Published: 2014
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8. Expression and biological roles of SATB1 in human bladder cancer.

Author: Han B, Luan L, Xu Z, and Wu B
Subjects: Aged, Antineoplastic Agents pharmacology, Apoptosis drug effects, Case-Control Studies, Caspase 3 genetics, Caspase 3 metabolism, Cell Line, Tumor, Cell Nucleus metabolism, Cell Proliferation, Cisplatin pharmacology, Cyclin D1 genetics, Cyclin D1 metabolism, Cyclin E genetics, Cyclin E metabolism, Female, Gene Expression Regulation, Neoplastic, Gene Knockdown Techniques, Humans, Male, Matrix Attachment Region Binding Proteins genetics, Middle Aged, Urinary Bladder metabolism, Urinary Bladder pathology, Urinary Bladder Neoplasms pathology, Gene Expression, Matrix Attachment Region Binding Proteins metabolism, Urinary Bladder Neoplasms metabolism
Abstract: Special AT-rich sequence-binding protein-1 (SATB1) has been recently reported to be overexpressed in various cancers and associate with the malignant behavior of cancer cells. However, the expression and potential roles of SATB1 in bladder cancer remains unclear. In the present study, SATB1 expression was analyzed in 85 archived bladder cancer specimens using immunohistochemistry and the correlations between SATB1 expression and clinicopathological parameters were evaluated. To further explore the biological functions of SATB1 in bladder cancer, siRNA knockdown was performed in 5637 and T24 bladder cancer cell lines. We then carried out CCK8 assay and examined cisplatin-induced apoptosis to address the roles of SATB1 in proliferation and apoptosis. We found that SATB1 was overexpressed in 33 of 85 (38.8 %) bladder cancer specimens. SATB1 overexpression associated with tumor grade (p = 0.002) and tumor stage (p = 0.027). SATB1 depletion in 5637 and T24 cells decreased cell proliferation while upregulating cisplatin-induced apoptosis. Further study demonstrated that SATB1 knockdown decreased cyclin D1 and cyclin E expression and upregulated caspase3 cleavage. In conclusion, SATB1 is overexpressed in bladder cancer and regulates malignant cell growth and apoptosis, which makes SATB1 a therapeutic target candidate for bladder cancer.
Published: 2013
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9. Effectively identifying eQTLs from multiple tissues by combining mixed model and meta-analytic approaches.

Author: Sul JH, Han B, Ye C, Choi T, and Eskin E
Subjects: Animals, Gene Expression Profiling, Genome, Mice, Models, Theoretical, Organ Specificity, Gene Expression, Genome-Wide Association Study, Quantitative Trait Loci genetics
Abstract: Gene expression data, in conjunction with information on genetic variants, have enabled studies to identify expression quantitative trait loci (eQTLs) or polymorphic locations in the genome that are associated with expression levels. Moreover, recent technological developments and cost decreases have further enabled studies to collect expression data in multiple tissues. One advantage of multiple tissue datasets is that studies can combine results from different tissues to identify eQTLs more accurately than examining each tissue separately. The idea of aggregating results of multiple tissues is closely related to the idea of meta-analysis which aggregates results of multiple genome-wide association studies to improve the power to detect associations. In principle, meta-analysis methods can be used to combine results from multiple tissues. However, eQTLs may have effects in only a single tissue, in all tissues, or in a subset of tissues with possibly different effect sizes. This heterogeneity in terms of effects across multiple tissues presents a key challenge to detect eQTLs. In this paper, we develop a framework that leverages two popular meta-analysis methods that address effect size heterogeneity to detect eQTLs across multiple tissues. We show by using simulations and multiple tissue data from mouse that our approach detects many eQTLs undetected by traditional eQTL methods. Additionally, our method provides an interpretation framework that accurately predicts whether an eQTL has an effect in a particular tissue., Competing Interests: The authors have declared that no competing interests exist.
Published: 2013
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10. Expression and purification of lacticin Q by small ubiquitin-related modifier fusion in Escherichia coli.

Author: Ma Q, Yu Z, Han B, Wang Q, and Zhang R
Subjects: Anti-Bacterial Agents isolation & purification, Anti-Bacterial Agents metabolism, Anti-Bacterial Agents pharmacology, Bacteria drug effects, Bacteriocins metabolism, Bacteriocins pharmacology, Escherichia coli chemistry, Escherichia coli metabolism, Recombinant Fusion Proteins genetics, Recombinant Fusion Proteins isolation & purification, Recombinant Fusion Proteins metabolism, Recombinant Fusion Proteins pharmacology, Small Ubiquitin-Related Modifier Proteins metabolism, Bacteriocins genetics, Bacteriocins isolation & purification, Escherichia coli genetics, Gene Expression, Small Ubiquitin-Related Modifier Proteins genetics
Abstract: Lacticin Q is a broad-spectrum class II bacteriocin with potential as an alternative to conventional antibiotics. The objective of this study was to produce recombinant lacticin Q using a small ubiquitin-related modifier (SUMO) fusion protein expression system. The 168-bp lacticin Q gene was cloned into the expression vector pET SUMO and transformed into Escherichia coli BL21(DE3). The soluble fusion protein was recovered with a Ni-NTA Sepharose column (95% purity); 130 mg protein was obtained per liter of fermentation culture. The SUMO tag was then proteolytically cleaved from the protein, which was re-applied to the column. Finally, about 32 mg lacticin Q (≥96% purity) was obtained. The recombinant protein exhibited antimicrobial properties similar to that of the native protein, demonstrating that lacticin Q had been successfully expressed by the SUMO fusion system.
Published: 2012
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11. Expression and hormonal regulation of Hoxa10 in canine uterus during the peri-implantation period.

Author: Guo B, Tian Z, Han BC, Zhang XM, Yang ZM, and Yue ZP
Subjects: Animals, Epithelium chemistry, Estrogens pharmacology, Estrous Cycle, Female, Gestational Age, Myometrium chemistry, Ovariectomy, Pregnancy, Progesterone pharmacology, RNA, Messenger analysis, Dogs metabolism, Embryo Implantation physiology, Gene Expression, Homeodomain Proteins genetics, Up-Regulation drug effects, Uterus chemistry
Abstract: Hoxa10, a homeobox gene, is necessary for endometrial receptivity to blastocyst implantation. The aim of this study was to investigate the differential expression of Hoxa10 in canine uterus during early pregnancy and its regulation under different conditions by in situ hybridization. Hoxa10 mRNA was mainly localized in glandular epithelium and myometrium in canine uterus. There was a low level of Hoxa10 expression in the glandular epithelium on days 6, 12 and 17 of pregnancy. On day 20 of pregnancy when embryo implanted, Hoxa10 mRNA was highly expressed in the glandular epithelium surrounding the embryo, but not in the luminal epithelium. The expression of Hoxa10 mRNA gradually declined from day 23 and reached a low level on day 28. In the myometrium, a low level of Hoxa10 mRNA signal was seen on days 6, 12 and 17 of pregnancy and reached a high level on day 20 of pregnancy. During the estrous cycle, a high level of Hoxa10 mRNA expression was seen in the estrous uterus. Either estrogen or progesterone significantly induced the expression of Hoxa10 mRNA in the ovariectomized canine uterus. These results suggest that Hoxa10 expression is closely related to canine embryo implantation and upregulated by estrogen and progesterone.
Published: 2009
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12. Differential gene profiling in acute lung injury identifies injury-specific gene expression.

Author: dos Santos CC, Okutani D, Hu P, Han B, Crimi E, He X, Keshavjee S, Greenwood C, Slutsky AS, Zhang H, and Liu M
Subjects: Animals, Male, Rats, Rats, Sprague-Dawley, Gene Expression, Gene Expression Profiling, Respiratory Distress Syndrome genetics
Abstract: Objectives: Acute lung injury can result from distinct insults, such as sepsis, ischemia-reperfusion, and ventilator-induced lung injury. Physiologic and morphologic manifestations of disparate forms of injury are often indistinguishable. We sought to demonstrate that acute lung injury resulting from distinct insults may lead to different gene expression profiles., Design: Microarray analysis was used to examine early molecular events in lungs from three rat models of acute lung injury: lipopolysaccharide, hemorrhage shock/resuscitation, and high-volume ventilation., Setting: University laboratory., Subjects: Male Sprague-Dawley rats (body weight, 300-350 g)., Interventions: Rats were subjected to hemorrhagic shock or lipopolysaccharide followed by resuscitation or were subjected to sham operation. First hit was followed by ventilation with either low (6 mL/kg) or high (12 mL/kg) tidal volume for 4 hrs., Measurements and Main Results: Physiologic and morphologic variables were assessed. Total RNA was hybridized to Affymetrix chips. Bioconductor was used to identify significantly altered genes. Functional enrichment predictions were performed in Gene Ontology Tree Machine. Confirmation studies included real-time polymerase chain reaction, Western blots, and immunohistochemistry. Physiologic and morphologic variables were noncontributory in determining the cause of acute lung injury. In contrast, molecular analysis revealed unique gene expression patterns that characterized exposure to lipopolysaccharide and high-volume ventilation. We used hypergeometric probability to demonstrate that specific functional enrichment groups were regulated by biochemical vs. biophysical factors. Genes stimulated by lipopolysaccharide were involved in metabolism, defense response, immune cell proliferation, differentiation and migration, and cell death. In contrast, high-volume ventilation led to the regulation of genes involved primarily in organogenesis, morphogenesis, cell cycle, proliferation, and differentiation., Conclusions: These results demonstrate the application of functional genomics to the molecular "fingerprinting" of acute lung injury and the potential for decoupling biophysical from biochemical injury.
Published: 2008
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13. [Advances in gene expression of bone marrow stromal cells].

Author: Han B, Fu X, and Sun X
Subjects: Animals, Bone Marrow Cells cytology, Cell Differentiation genetics, Genetic Therapy methods, Hematopoiesis genetics, Humans, Stromal Cells cytology, Bone Marrow Cells metabolism, Gene Expression, Stromal Cells metabolism
Abstract: Objective: To review the advances in gene expression of marrow stromal cells (MSCs) in biological characteristic, differentiation, gene therapy, supporting hematopoiesis, inflammation reaction in wound repair., Methods: The related articles in recent years were extensively reviewed., Results: MSCs can express not only specific mRNA of mesodermal cells but also that of endodermal and ectodermal cell types on various differentiation conditions. When transfected or transduction, MSCs can steadily express many therapeutic transgenes in vitro or in vivo as well. Furthermore, they have the ability to support hematopoietic system and participate in the process of inflammation in wound repair., Conclusion: MSCs are stem cells which have the characteristic of self renewing, multi-potency and easy to expand in vitro. MSCs are ideal target cells for cell and gene therapies.
Published: 2005

14. Network Pharmacology-Based Strategy to Investigate the Mechanisms of Lenvatinib in the Treatment of Hepatocellular Carcinoma.

Author: Liu, P., Han, B., Zhang, Y., and Wang, X.
Subjects: *HEPATOCELLULAR carcinoma, *GENE expression, *CELLULAR signal transduction, *GENE targeting, *ONLINE databases, *ION channels
Abstract: Hepatocellular carcinoma (HCC) is a complex and refractory malignant tumor, ranking the third cause of cancer-related deaths worldwide. Lenvatinib is currently employed to treat advanced, unresectable HCC as a first-line drug. The purpose of this study was to explore the pharmacological mechanisms of lenvatinib acting on HCC through the analysis of differential expressed genes based on network pharmacology. The target genes of lenvatinib were collected from PubChem, SwissTargetPrediction, PharmMapper, and BATMAN-TCM online public databases. In addition, related gene targets for HCC were obtained using NCBI Gene Expression Omnibus (NCBI-GEO) database. Afterward, the protein-protein interaction (PPI) network was established to visualize and understand the interaction relationships of overlapping gene targets from both lenvatinib and HCC. Furthermore, according to the data obtained, Gene Ontology (GO) analysis indicated that these intersectant genes were mainly enriched in response to xenobiotic stimulus, gland development, ion channel complex, membrane raft, and steroid binding. Besides, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis suggested that the therapeutic effects of lenvatinib on HCC probably involved bile secretion, MAPK signaling pathway, cGMP-PKG signaling pathway, PI3K-Akt signaling pathway, and Ras signaling pathway. Moreover, a total of six key differential genes, namely, ALB, CCND1, ESR1, AR, CCNA2, and AURKA, were identified as most significant targets associated with lenvatinib treating HCC and further verified by molecular docking, which demonstrated that lenvatinib had a strong binding efficiency with these six key gene-encoded proteins. Taken together, this study systematically provided new insights for researchers to determine the intervention mechanisms of lenvatinib in HCC therapy. [ABSTRACT FROM AUTHOR]
Published: 2022
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15. Characterisation of a putative glutamate 5‐kinase from Leishmania donovani

Author: Sienkiewicz, Natasha, Ong, Han B., and Fairlamb, Alan H.
Subjects: Proline, Genetic Vectors, Protozoan Proteins, Gene Expression, Glutamic Acid, drug target, Substrate Specificity, inhibitors, Escherichia coli, Humans, Protein Interaction Domains and Motifs, Amino Acid Sequence, Cloning, Molecular, biochemical pathway, Phylogeny, Leishmania, Aspartic Acid, Sequence Homology, Amino Acid, Genetic Complementation Test, Original Articles, Phosphotransferases (Carboxyl Group Acceptor), Recombinant Proteins, Kinetics, Biocatalysis, proline biosynthesis, Thermodynamics, Original Article, Protein Multimerization, Sequence Alignment, Leishmania donovani, Protein Binding
Abstract: Previous metabolic studies have demonstrated that leishmania parasites are able to synthesise proline from glutamic acid and threonine from aspartic acid. The first committed step in both biosynthetic pathways involves an amino acid kinase, either a glutamate 5‐kinase (G5K; http://www.chem.qmul.ac.uk/iubmb/enzyme/EC2/7/2/11.html) or an aspartokinase (http://www.chem.qmul.ac.uk/iubmb/enzyme/EC2/7/2/4.html). Bioinformatic analysis of multiple leishmania genomes identifies a single amino acid‐kinase gene (LdBPK 262740.1) variously annotated as either a putative glutamate or aspartate kinase. To establish the catalytic function of this Leishmania donovani gene product, we have determined the physical and kinetic properties of the recombinant enzyme purified from Escherichia coli. The findings indicate that the enzyme is a bona fide G5K with no activity as an aspartokinase. Tetrameric G5K displays kinetic behaviour similar to its bacterial orthologues and is allosterically regulated by proline, the end product of the pathway. The structure‐activity relationships of proline analogues as inhibitors are broadly similar to the bacterial enzyme. However, unlike G5K from E. coli, leishmania G5K lacks a C‐terminal PUA (pseudouridine synthase and archaeosine transglycosylase) domain and does not undergo higher oligomerisation in the presence of proline. Gene replacement studies are suggestive, but not conclusive that G5K is essential. Enzymes Glutamate 5‐kinase (http://www.chem.qmul.ac.uk/iubmb/enzyme/EC2/7/2/11.html); aspartokinase (http://www.chem.qmul.ac.uk/iubmb/enzyme/EC2/7/2/4.html).
Published: 2018

16. Intestinal DCs global gene expression dynamics affected by recombinant baker’s yeasts saccharomyces cerevisiae

Author: Mu L, Zhang Z, Han B, Li X, Xu K, Zhao R, Zhang T, and Ge W
Subjects: Genetics, biology, law, Gene expression, Saccharomyces cerevisiae, Dynamics (mechanics), Recombinant DNA, biology.organism_classification, law.invention
Abstract: Background The baker’s yeast, saccharomyces cerevisiae, has been widely used throughout our daily life in diverse aspects for thousands of years. The saccharomyces cerevisiae was found to specifically target the dendritic cells (DCs) in mammalian with a manner of antigen-receptor interaction as described previously. It is necessary to investigate the effect of the baker’s yeasts on global gene expression dynamics of intestinal DCs and explore the possibilities of using baker’s yeast as gene delivery vehicle to modulate animal’s immune functions Results with a murine oral delivery model in vivo, we confirmed the feasibility of using budding yeast as gene delivery vehicle to the intestinal DCs using the Western blots. We then examined the transcriptome profile of the mouse intestinal DCs upon yeast stimulus. The enrichment analysis of unique transcripts indicated the beneficial role of yeast in modulating the DC-mediated adaptive immunity. Compared with previous study, we also found that a large fraction of the regulated genes is coincident with the response induced by other fungus, suggesting that the budding yeast induces a similar tailored unique genetic re-programming of DCs. Another analysis of transcriptome profile indicated that expression of β-catenin gene significantly changes DCs gene expression related to inflammatory response and cell adhesion. Conclusions Here, we defined the role of budding yeast on global gene expression of intestinal DCs, and confirmed the important role of β-catenin gene on the DCs-related inflammatory response, which provides a framework for the development of mucosa yeast-based DNA vaccine.
Published: 2019

17. Locomotor response to acute stressors requires hypothalamic-pituitary-interrenal axis activation and glucocorticoid receptor

Author: Randall G. Krug, Camden L. Daby, Dakota C. Jacobs, Bethany C. Berry, Rhianna M. Urban, Ashley N. Sigafoos, Ryan P. Cotter, Biswadeep Das, Ma Kayla R. Serres, Tanya L. Schwab, Jennifer L. Gauerke, Morgan O. Petersen, Han B. Lee, and Karl J. Clark
Subjects: Exon, medicine.anatomical_structure, Mineralocorticoid receptor, Glucocorticoid receptor, biology, Adrenal gland, Gene expression, medicine, ACTH receptor, Receptor, biology.organism_classification, Zebrafish, Cell biology
Abstract: When vertebrates face acute stressors, their bodies rapidly undergo a repertoire of physiological and behavioral adaptations, which is termed the stress response (SR). Rapid physiological changes in heart rate and blood sugar levels occur via the interaction of glucocorticoids and their cognate receptors following hypothalamic-pituitary-adrenal (HPA) axis activation. These physiological changes are observed within minutes of encountering a stressor and the rapid time domain rules out genomic responses that require gene expression changes. Although behavioral changes corresponding to physiological changes are commonly observed, it is not clearly understood to what extent HPA axis activation dictates adaptive behavior. We hypothesized that rapid locomotor response to acute stressors in zebrafish requires HPI axis activation. In teleost fish, interrenal cells (I) are functionally homologous to the adrenal gland cortical layer. We derived 8 frameshift mutants in genes involved in HPI axis function: two mutants in exon 2 of mc2r (adrenocorticotropic hormone receptor), two in each of exon 2 and exon 5 of nr3c1 (glucocorticoid receptor), and two in exon 2 of nr3c2 (mineralocorticoid receptor). Exposing larval zebrafish to mild environmental stressors, acute changes in salinity or light illumination, results in a rapid locomotor response. We show here that this locomotor response requires a functioning HPI axis via the action of mc2r (adrenocorticotropic hormone receptor) and the canonical glucocorticoid receptor encoded by nr3c1 gene, but not mineralocorticoid receptor (nr3c2). Our rapid behavioral assay paradigm based on HPI axis biology may prove useful to screen for genetic, pharmacological, or environmental modifiers of the HPA axis.SignificanceAltered HPA axis activity is acknowledged as a causative and critical prognostic factor in many psychiatric disorders including depression. Nonetheless, genome wide association studies (GWAS) on depression have revealed conflicting findings about susceptibility loci, while identifying several genetic loci that warrant further investigations in the process. Such findings indicate that psychiatric disorders with complex genetic foundations require functional studies as well as genetic analyses. We developed a sensitive behavioral assay paradigm that leverages the genetic amenability and rapid development of zebrafish and demonstrated that our assay system reliably detects changes in HPA axis responsiveness. Our functional genetics and behavioral assay approach provides a useful platform to discover novel genetic, pharmacological, or environmental modifiers of the HPA axis.
Published: 2018
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18. The endocannabinoid gene faah2a modulates stress-associated behavior in zebrafish

Author: Louis El Khoury, Karl J. Clark, Randall G. Krug, Morgan O. Petersen, Ashley N. Sigafoos, and Han B. Lee
Subjects: 0301 basic medicine, Genome engineering, Hydrolases, Physiology, lcsh:Medicine, Gene Expression, Engineering and technology, Synthetic genome editing, Biochemistry, 0302 clinical medicine, Gene expression, Medicine and Health Sciences, Synthetic bioengineering, Receptor, lcsh:Science, Zebrafish, Transcription activator-like effector nuclease, Multidisciplinary, biology, Behavior, Animal, Effector, Organic Compounds, Fatty Acids, Eukaryota, Animal Models, Endocannabinoid system, Lipids, Cell biology, Enzymes, TALENs, Chemistry, Experimental Organism Systems, Osteichthyes, Vertebrates, Physical Sciences, Research Article, Biotechnology, Danio, Bioengineering, Research and Analysis Methods, 03 medical and health sciences, Mediator, Model Organisms, Stress, Physiological, Genetics, Animals, Synthetic biology, Behavior, Biological Locomotion, lcsh:R, Synthetic genomics, Organic Chemistry, Organisms, Chemical Compounds, Biology and Life Sciences, Proteins, biology.organism_classification, Amides, 030104 developmental biology, Fish, Enzymology, lcsh:Q, 030217 neurology & neurosurgery, Endocannabinoids
Abstract: The ability to orchestrate appropriate physiological and behavioral responses to stress is important for survival, and is often dysfunctional in neuropsychiatric disorders that account for leading causes of global disability burden. Numerous studies have shown that the endocannabinoid neurotransmitter system is able to regulate stress responses and could serve as a therapeutic target for the management of these disorders. We used quantitative reverse transcriptase-polymerase chain reactions to show that genes encoding enzymes that synthesize (abhd4, gde1, napepld), enzymes that degrade (faah, faah2a, faah2b), and receptors that bind (cnr1, cnr2, gpr55-like) endocannabinoids are expressed in zebrafish (Danio rerio). These genes are conserved in many other vertebrates, including humans, but fatty acid amide hydrolase 2 has been lost in mice and rats. We engineered transcription activator-like effector nucleases to create zebrafish with mutations in cnr1 and faah2a to test the role of these genes in modulating stress-associated behavior. We showed that disruption of cnr1 potentiated locomotor responses to hyperosmotic stress. The increased response to stress was consistent with rodent literature and served to validate the use of zebrafish in this field. Moreover, we showed for the first time that disruption of faah2a attenuated the locomotor responses to hyperosmotic stress. This later finding suggests that FAAH2 may be an important mediator of stress responses in non-rodent vertebrates. Accordingly, FAAH and FAAH2 modulators could provide distinct therapeutic options for stress-aggravated disorders.
Published: 2018

19. The endocannabinoid gene faah2a modulates stress-associated behavior in zebrafish.

Author: IIKrug, Randall G., Lee, Han B., El Khoury, Louis Y., Sigafoos, Ashley N., Petersen, Morgan O., and Clark, Karl J.
Subjects: *NEUROBEHAVIORAL disorders, *DISEASES, *PSYCHOLOGICAL stress, *ZEBRA danio, *REVERSE transcriptase polymerase chain reaction, *NEUROTRANSMITTERS, *BEHAVIOR
Abstract: The ability to orchestrate appropriate physiological and behavioral responses to stress is important for survival, and is often dysfunctional in neuropsychiatric disorders that account for leading causes of global disability burden. Numerous studies have shown that the endocannabinoid neurotransmitter system is able to regulate stress responses and could serve as a therapeutic target for the management of these disorders. We used quantitative reverse transcriptase-polymerase chain reactions to show that genes encoding enzymes that synthesize (abhd4, gde1, napepld), enzymes that degrade (faah, faah2a, faah2b), and receptors that bind (cnr1, cnr2, gpr55-like) endocannabinoids are expressed in zebrafish (Danio rerio). These genes are conserved in many other vertebrates, including humans, but fatty acid amide hydrolase 2 has been lost in mice and rats. We engineered transcription activator-like effector nucleases to create zebrafish with mutations in cnr1 and faah2a to test the role of these genes in modulating stress-associated behavior. We showed that disruption of cnr1 potentiated locomotor responses to hyperosmotic stress. The increased response to stress was consistent with rodent literature and served to validate the use of zebrafish in this field. Moreover, we showed for the first time that disruption of faah2a attenuated the locomotor responses to hyperosmotic stress. This later finding suggests that FAAH2 may be an important mediator of stress responses in non-rodent vertebrates. Accordingly, FAAH and FAAH2 modulators could provide distinct therapeutic options for stress-aggravated disorders. [ABSTRACT FROM AUTHOR]
Published: 2018
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20. MicroRNA-106b-5p boosts glioma tumorigensis by targeting multiple tumor suppressor genes.

Author: Liu, F, Gong, J, Huang, W, Wang, Z, Wang, M, Yang, J, Wu, C, Wu, Z, and Han, B
Subjects: GLIOMA treatment, TUMOR suppressor genes, MICRORNA, NEOPLASTIC cell transformation, CELL proliferation, APOPTOSIS, TARGETED drug delivery, GENE expression
Abstract: Aberrant expression of microRNAs (miRNAs) has been implicated in cancer initiation and progression. However, little is known about the potential role of miRNAs in glioma tumorigenesis. In this study, we found that miRNA-106b-5p was significantly upregulated in glioma tumor samples and cell lines compared with normal brain tissues, and its expression level correlated with the pathological grading. Overexpression of miR-106b-5p in glioma tumor cells significantly promoted cell proliferation, although inhibited cell apoptosis in vitro and in vivo. In contrast, knockdown of miR-106b-5p significantly inhibited cell proliferation, although enhanced cell apoptosis. Mechanistic study revealed that two target genes, retinoblastoma-like 1 (RBL1) and RBL2, were involved in miR-106b-5p's regulation of cell proliferation and one target gene, caspase-8 (CASP8), mediated miR-106b-5p's regulation of apoptosis. We also investigated the function of the three targets in glioma tumorigenesis by RNA interference manipulation and demonstrated that knockdown of these target genes led to cell proliferation enhancement or cell apoptosis inhibition in vitro. More interestingly, the expression levels of these targets were significantly downregulated in glioma samples and knockdown of these targets in glioma cells inhibited the xenograft tumor formation in vivo. Moreover, we verified the regulation function of miR-106b-5p and its targets on cell proliferation and apoptosis of the primary cultured astrocytes isolated from glioma tumor samples and healthy controls. Collectively, our findings show the critical roles of miR-106b-5p and its targets, RBL1, RBL2 and CASP8, in glioma tumorigenesis and provide potential candidates for malignant glioma therapy. [ABSTRACT FROM AUTHOR]
Published: 2014
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21. Pyrosequencing the midgut transcriptome of the brown planthopper, Nilaparvata lugens.

Author: Peng, X., Zha, W., He, R., Lu, T., Zhu, L., Han, B., and He, G.
Subjects: PLANTHOPPERS, GENETIC transcription, RICE diseases & pests, GENE expression, NUTRITION, XENOBIOTICS, METABOLISM, IMMUNE response
Abstract: The brown planthopper, Nilaparvata lugens, is a serious pest threatening rice production across the world. To identify the main features of the gene expression and the key components of the midgut of N. lugens responsible for nutrition, xenobiotic metabolism and the immune response, we used pyrosequencing to sample the transcriptome. More than 190 000 clean sequences were generated, which led to about 30 000 unique sequences. Sequence analysis indicated that genes with abundant transcripts in the midgut of N. lugens were mainly sugar hydrolyases and transporters, proteases and detoxification-related proteins. Based on the sequence information, we cloned the candidate sucrase gene; this enzyme is likely to interact with the perimicrovillar membrane through its highly hydrophobic C-terminal region. Many proteases were identified, which supported the hypothesis that N. lugens uses the proteolysis system for digestion. Scores of detoxification genes were newly identified, including cytochrome P450s, glutathione S-transferases, caroxylesterases. A wealth of new transcripts possibly participating in the immune response were described as well. The gene encoding a peptidoglycan recognition protein was cloned. Unlike in Acyrthosiphon pisum, the immunodeficiency pathway may be present in N. lugens. This is the first global analysis of midgut transcriptome from N. lugens. [ABSTRACT FROM AUTHOR]
Published: 2011
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22. MicroRNA signatures associated with immortalization of EBV-transformed lymphoblastoid cell lines and their clinical traits.

Author: Lee, J.-E., Hong, E.-J., Nam, H.-Y., Kim, J.-W., Han, B.-G., and Jeon, J.-P.
Subjects: NON-coding RNA, EPSTEIN-Barr virus, LYMPHOBLASTOID cell lines, GENE expression, CELL proliferation, CELL growth, CARCINOGENESIS, CYTOLOGY
Abstract: MicroRNAs (miRNAs) are negative regulators of gene expression that play important roles in cell processes such as proliferation, development and differentiation. Recently, it has been reported that miRNAs are related to development of carcinogenesis. The aim of this study was to identify miRNAs associated with terminal immortalization of Epstein-Barr virus (EBV)-transformed lymphoblastoid cell line (LCL) and associated clinical traits. Hence, we performed miRNA microarray approach with early- (p6) and late-passage (p161) LCLs. Microarray data showed that nine miRNAs (miR-20b*, miR-28-5p, miR-99a, miR-125b, miR-151-3p, miR-151:9.1, miR-216a, miR-223* and miR-1296) were differentially expressed in most LCLs during long-term culture. In particular, miR-125b was up-regulated in all the tested late-passage LCLs. miR-99a, miR-125b, miR-216a and miR-1296 were putative negative regulators of RASGRP3, GPR160, PRKCH and XAF1, respectively, which were found to be differentially expressed in LCLs during long-term culture in a previous study. Linear regression analysis showed that miR-200a and miR-296-3p correlated with triglyceride and HbA1C levels, respectively, suggesting that miRNA signatures of LCLs could provide information on the donor's health. In conclusion, our study suggests that expression changes of specific miRNAs may be required for terminal immortalization of LCLs. Thus, differentially expressed miRNAs would be a potential marker for completion of cell immortalization during EBV-mediated tumorigenesis. [ABSTRACT FROM AUTHOR]
Published: 2011
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23. Expression and Hormonal Regulation of E-Cadherin in Canine Uterus During Early Pregnancy.

Author: Guo, B, Han, B-C, Tian, Z, Zhang, X-M, Jiang, L-X, Liu, J-X, and Yue, Z-P
Subjects: *PREGNANCY in animals, *CADHERINS, *BLASTOCYST, *IN situ hybridization, *GENE expression, *PROGESTERONE, *ESTRUS
Abstract: E-cadherin, a Ca-dependent cell adhesion molecule, is necessary for endometrial receptivity to blastocyst implantation. The aim of this study was to investigate the differential expression of E-cadherin in canine uterus during early pregnancy and its regulation under different conditions by in situ hybridization. E-cadherin mRNA expression was at a low level in the glandular epithelium on days 6, 12 and 17 of pregnancy. On days 20 and 23 of pregnancy, E-cadherin mRNA was highly expressed in the glandular epithelium surrounding the embryo, but not in the luminal epithelium and declined in villi and placenta on day 28 of pregnancy. During oestrous cycle, a moderate level of E-cadherin mRNA expression was found in the luminal and glandular epithelium of canine uteri at oestrus stage. The same expression was also found at anoestrus stage. Progesterone slightly induced the expression of E-cadherin mRNA in the luminal and glandular epithelium of ovariectomized canine uterus. These results suggest that E-cadherin expression is closely related to canine implantation and can be up-regulated by progesterone. [ABSTRACT FROM AUTHOR]
Published: 2010
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24. Trypanosoma brucei pteridine reductase 1 is essential for survival in vitro and for virulence in mice.

Author: Sienkiewicz, Natasha, Ong, Han B., and Fairlamb, Alan H.
Subjects: *PTERIDINES, *AFRICAN trypanosomiasis, *TRYPANOSOMA brucei, *GENE expression, *LEISHMANIA, *CYTOKINESIS
Abstract: Gene knockout and knockdown methods were used to examine essentiality of pteridine reductase (PTR1) in pterin metabolism in the African trypanosome. Attempts to generate PTR1 null mutants in bloodstream form Trypanosoma brucei proved unsuccessful; despite integration of drug selectable markers at the target locus, the gene for PTR1 was either retained at the same locus or elsewhere in the genome. However, RNA interference (RNAi) resulted in complete knockdown of endogenous protein after 48 h, followed by cell death after 4 days. This lethal phenotype was reversed by expression of enzymatically active Leishmania major PTR1 in RNAi lines (oeRNAi) or by addition of tetrahydrobiopterin to cultures. Loss of PTR1 was associated with gross morphological changes due to a defect in cytokinesis, resulting in cells with multiple nuclei and kinetoplasts, as well as multiple detached flagella. Electron microscopy also revealed increased numbers of glycosomes, while immunofluorescence microscopy showed increased and more diffuse staining for glycosomal matrix enzymes, indicative of mis-localisation to the cytosol. Mis-localisation was confirmed by digitonin fractionation experiments. RNAi cell lines were markedly less virulent than wild-type parasites in mice and virulence was restored in the oeRNAi line. Thus, PTR1 may be a drug target for human African trypanosomiasis. [ABSTRACT FROM AUTHOR]
Published: 2010
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25. A set of testis-specific novel genes collected from a collection of Korean Native Chicken ESTs.

Author: Shin, J. H., Kim, H., Song, K. D., Han, B. K., Park, T. S., Kim, D. K., and Han, J. Y.
Subjects: TESTIS, GENES, CHICKENS, ANIMAL genetics, GENETICS, GENE expression
Abstract: We report a set of testis-specific novel genes by comparing the The Institute for Genomic Research (TIGR) chicken gene index with the 13 132 expressed sequence tag (EST) collection from Korean Native Chicken (KNC). A total of 553 novel transcripts have resulted after comparison of our EST contigs and singlets against the chicken gene index and chicken genome sequences. Interestingly, 76% of the new genes were from testis-specific EST contigs or singlet and analysis of exon/intron structure showed that a significant number of the contigs have intronless coding regions. A large portion of the testis-specific transcripts have intronless coding region indicating that the testis-specific expression pattern is related to a group of single exon genes in the chicken. The chicken EST data that are described in this paper have been submitted to the NCBI dbEST under accession numbers CO759017–CO764274, CO765331–CO768903 and CO769672-CO773972. [ABSTRACT FROM AUTHOR]
Published: 2005
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26. Hybrid feature selection method for gene expression analysis.

Author: Liping Wang and Han, B. L.
Subjects: *GENE expression, *PROGNOSIS, *T-test (Statistics), *DNA microarrays, *COMPUTATIONAL biology
Abstract: Feature selection is important and necessary for disease classification and prediction using high-dimensional gene expression data. A hybrid method integrating sparse representation with a two-sample statistical t-test to construct features from high-throughput microarray data is presented. The approach takes account of gene interaction and reduces the variable dimension by sparse linear combination, as well as considers the discriminative power of genes using component regression. Under the recurrent independence rule for classification, the experiment results on real data demonstrate the improvements of this hybrid technique over conventional methods. [ABSTRACT FROM AUTHOR]
Published: 2014
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27. P01-94 Effects of Chinese herb Danshen-Dahuang on hippocampal gene expression of APP and PS1 in rats with Alzheimer disease

Author: Han, B., Tang, R., Han, D., Wang, F., Zhao, S., and Xu, M.
Subjects: *GENE expression, *HERBAL medicine, *ALZHEIMER'S disease, *ANIMAL experimentation
Abstract: Aims: To investigate the effect of Chinese herb Danshen-Dahuang on learning and memory ability in rats with Alzheimer disease (AD) induced by D-galactose and AlCl3 and its possible mechanisms. Methods: The AD model was produced by injecting D-galactose and AlCl3 intraperitoneally for 90 days. Since the 20th day of D-galactose and AlCl3 intraperitoneal injection, the rats in Danshen-Dahuang group had been treated with Danshen-Dahuang extraction by intragastric administration for 70 days. Subsequently,learning and memory ability of the mice was evaluated by Morris water maze and hippocampal gene expression of APP, PS1 was tested by reverse transcription polymerase chain reaction (RT-PCR). Results: Rats intragastric administration with Danshen-Dahuang, mice had shorter latency (P< 0.05) and less error times (P< 0.05) in water maze test compared with those in AD model group. At the same time, Danshen-Dahuang down regulated the expression of APP, PS1 mRNA (P< 0.05) in hippocampus. Conclusions: Danshen-Dahuang improves the learning and memory ability of AD rats, its mechanism may be related to the downregulated expression of APP, PS1 mRNA. [Copyright &y& Elsevier]
Published: 2009
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28. Calcitonin impairs the anabolic effect of PTH in young rats and stimulates expression of sclerostin by osteocytes

Author: Gooi, J.H., Pompolo, S., Karsdal, M.A., Kulkarni, N.H., Kalajzic, I., McAhren, S.H.M., Han, B., Onyia, J.E., Ho, P.W.M., Gillespie, M.T., Walsh, N.C., Chia, L.Y., Quinn, J.M.W., Martin, T.J., and Sims, N.A.
Subjects: *CALCITONIN, *PARATHYROID hormone, *GENE expression, *OSTEOCYTES, *OSTEOCLAST inhibition, *BONE morphogenetic proteins, *LABORATORY rats
Abstract: Abstract: The therapeutic goal of increasing bone mass by co-treatment of parathyroid hormone (PTH) and an osteoclast inhibitor has been complicated by the undefined contribution of osteoclasts to the anabolic activity of PTH. To determine whether active osteoclasts are required at the time of PTH administration, we administered a low dose of the transient osteoclast inhibitor salmon calcitonin (sCT) to young rats receiving an anabolic PTH regimen. Co-administration of sCT significantly blunted the anabolic effect of PTH as measured by peripheral quantitative computer tomography (pQCT) and histomorphometry in the femur and tibia, respectively. To determine gene targets of sCT, we carried out quantitative real time PCR and microarray analysis of metaphyseal samples 1.5, 4 and 6.5h after administration of a single injection of PTH, sCT or PTH+sCT. Known targets of PTH action, IL-6, ephrinB2 and RANKL, were not modified by co-administration with sCT. Surprisingly, at all time points, we noted a significant upregulation of sclerostin mRNA by sCT treatment, as well as down-regulation of two other osteocyte gene products, MEPE and DMP1. Immunohistochemistry confirmed that sCT administration increased the percentage of osteocytes expressing sclerostin, suggesting a mechanism by which sCT reduced the anabolic effect of PTH. Neither mRNA for CT receptor (Calcr) nor labeled CT binding could be detected in sclerostin-enriched cells differentiated from primary calvarial osteoblasts. In contrast, osteocytes freshly isolated from calvariae expressed a high level of Calcr mRNA. Furthermore immunohistochemistry revealed co-localization of CT receptor (CTR) and sclerostin in some osteocytes in calvarial sections. Taken together these data indicate that co-treatment with sCT can blunt the anabolic effect of PTH and this may involve direct stimulation of sclerostin production by osteocytes. These data directly implicate calcitonin as a negative regulator of bone formation through a previously unsuspected mechanism. [Copyright &y& Elsevier]
Published: 2010
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29. Sexually dimorphic gene expression in the chick brain before gonadal differentiation.

Author: Lee, S. I., Lee, W. K., Shin, J. H., Han, B. K., Moon, S., Cho, S., Park, T., Kim, H., and Han, J. Y.
Subjects: *CHICKEN embryos, *GENE expression, *VERTEBRATES, *POLYMERASE chain reaction, SEX differences (Biology)
Abstract: Biological bases for sexual differences in the brain exist in a wide range of vertebrate species, including chickens. Recently, the dogma of hormonal dependence for the sexual differentiation of the brain has been challenged. We examined whether sexually dimorphic gene expression in the brain precedes gonadal differentiation. Using the Affymetrix GeneChip Chicken Genome Array, we identified 42 femaleand 167 male-enhanced genes that were differentially expressed in sex-specific brains from stage 29 chicken embryos. To confirm the efficacy of the microarray, and to investigate the stage-specific expression patterns of the identified genes, we used quantitative real-time PCR analysis. Our real-time PCR results for the differentially expressed genes agreed well with our microarray results. Thus, we postulate that these genes have potential roles in the sexual differentiation of neural function and development in chickens. [ABSTRACT FROM AUTHOR]
Published: 2009
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30. Genomic correlates of glatiramer acetate adverse cardiovascular effects lead to a novel locus mediating coronary risk

Author: Brænne, Ingrid, Zeng, Lingyao, Willenborg, Christina, Tragante, Vinicius, Kessler, Thorsten, Willer, Cristen J., Laakso, Markku, Wallentin, Lars, Franks, Paul W., Salomaa, Veikko, Dehghan, Abbas, Meitinger, Thomas, Samani, Nilesh J., Asselbergs, Folkert W., Erdmann, Jeanette, Schunkert, Heribert, Deloukas, Panos, Kanoni, Stavroula, Farrall, Martin, Assimes, Themistocles L., Thompson, John R., Ingelsson, Erik, Saleheen, Danish, Goldstein, Benjamin A., Stirrups, Kathleen, König, Inke R., Cazier, Jean-Baptiste, Johansson, Åsa, Hall, Alistair S., Lee, Jong-Young, Chambers, John C., Esko, Tõnu, Folkersen, Lasse, Goel, Anuj, Grundberg, Elin, Havulinna, Aki S., Weang K., Ho, Hopewell, Jemma C., Eriksson, Niclas, Kleber, Marcus E., Kristiansson, Kati, Lundmark, Per, Lyytikäinen, Leo-Pekka, Rafelt, Suzanne, Shun, Dmitry, Strawbridge, Rona J., Thorleifsson, Gudmar, Tikkanen, Emmi, Van Zuydam, Natalie, Voight, Benjamin F., Waite, Lindsay L., Zhang, Weihua, Zieg, Andreas, Absher, Devin, Altshuler, David, Balmforth, Anthony J., Barroso, Inês, Braund, Peter S., Burgdorf, Christof, Claudi-Boehm, Simone, Cox, David, Dimitriou, Maria, Ron, Do, Doney, Alex S. F., El Mokhtari, Nour Eddine, Eriksson, Per, Fischer, Krista, Fontanillas, Pierre, Franco-Cereceda, Anders, Gigante, Bruna, Groop, Leif, Gustafsson, Stefan, Hager, Jörg, Hallmans, Göran, Han, Bok-Ghee, Ehunt, Sarah, Kang, Hyun M., Illig, Thomas, Knowles, Joshua W., Kolovou, Genovefa, Kuusisto, Johanna, Langenberg, Claudia, Langford, Cordelia, Leander, Karin, Lokki, Marja-Liisa, Lundmark, Anders, Mccarthy, Mark I., Meisinger, Christa, Melander, Olle, Mihailov, Evelin, Maouche, Seraya, Morris, Andrew D., Müller-Nurasyid, Martina, Nikus, Kjell, Peden, John F., Rayner, N. William, Rasheed, Asif, Rosinger, Silke, Rubin, Diana, Rumpf, Moritz P., Schäfer, Arne, Sivananthan, Mohan, Song, Ci, Stewart, Alexandre F. R., Tan, Sian-Tsung, Thorgeirsson, Gudmundur, Van Der Schoot, C. Ellen, Wagner, Peter J., Wells, George A., Wild, Philipp S., Yang, Tsun-Po, Amouyel, Philippe, Arveiler, Dominique, Basart, Hanneke, Boehnke, Michael, Boerwinkle, Eric, Brambilla, Paolo, Cambien, Francois, Cupples, Adrienne L., De Faire, Ulf, Diemert, Patrick, Epstein, Stephen E., Evans, Alun, Ferrario, Marco M., Ferrières, Jean, Gauguier, Dominique, Alan S., Go, Goodall, Alison H., Gudnason, Villi, Hazen, Stanley L., Holm, Hilma, Iribarren, Carlos, Jang, Yangsoo, Kähönen, Mika, Kee, Frank, Kim, Hyo-Soo, Klopp, Norman, Koenig, Wolfgang, Kratzer, Wolfgang, Kuulasmaa, Kari, Laaksonen, Reijo, Lee, Ji-Young, Lind, Lars, Ouwehand, Willem H., Parish, Sarah, Park, Jeong E., Pedersen, Nancy L., Peters, Annette, Quertermous, Thomas, Rader, Daniel J., Schadt, Eric, Shah, Svati H., Sinisalo, Juha, Stark, Klaus, Stefansson, Kari, Trégouët, David-Alexandre, Virtamo, Jarmo, Wareham, Nicholas, Zimmermann, Martina E., Nieminen, Markku S., Hengsten, Christian, Sandhu, Manjinder S., Pastinen, Tomi, Syvänen, Ann-Christine, Hovingh, G. Kees, Dedoussis, George, Lehtimäki, Terho, Metspalu, Andres, Zalloua, Pierre A., Siegbahn, Agneta, Schreiber, Stefan, Ripatti, Samuli, Blankenberg, Stefan S., Perola, Markus, Clarke, Robert, Oboehm, Bernhard, O’Donnell, Christopher, Reilly, Muredach P., März, Winfried, Collins, Rory, Kathiresan, Sekar, Hamsten, Anders, Kooner, Jaspal S., Thorsteinsdottir, Unnur, Danesh, John, Palmer, Colin N. 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Subjects: Genetics and Molecular Biology (all), Cell biology, Cell signaling, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Cardiovascular Diseases, Case-Control Studies, Glatiramer Acetate, Humans, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Biochemistry, Genetics and Molecular Biology (all), Agricultural and Biological Sciences (all), Cardiology, Gene Expression, Signal transduction, Research and Analysis Methods, Vascular Medicine, Biochemistry, Database and Informatics Methods, Mathematical and Statistical Techniques, Cardiovascular Disease, Medicine and Health Sciences, Genetics, Genome-Wide Association Studies, Journal Article, Coronary Heart Disease, Statistical Methods, Polymorphism, Biology and life sciences, Signaling cascades, Computational Biology, Human Genetics, Genomics, Single Nucleotide, Genomic Databases, Genome Analysis, Biological Databases, TGF-beta signaling cascade, Genetic Loci, Physical Sciences, Case-Control Studie, Genomic Signal Processing, Mathematics, Statistics (Mathematics), Research Article, Meta-Analysis, Human
Abstract: Glatiramer acetate is used therapeutically in multiple sclerosis but also known for adverse effects including elevated coronary artery disease (CAD) risk. The mechanisms underlying the cardiovascular side effects of the medication are unclear. Here, we made use of the chromosomal variation in the genes that are known to be affected by glatiramer treatment. Focusing on genes and gene products reported by drug-gene interaction database to interact with glatiramer acetate we explored a large meta-analysis on CAD genome-wide association studies aiming firstly, to investigate whether variants in these genes also affect cardiovascular risk and secondly, to identify new CAD risk genes. We traced association signals in a 200-kb region around genomic positions of genes interacting with glatiramer in up to 60 801 CAD cases and 123 504 controls. We validated the identified association in additional 21 934 CAD cases and 76 087 controls. We identified three new CAD risk alleles within the TGFB1 region on chromosome 19 that independently affect CAD risk. The lead SNP rs12459996 was genome-wide significantly associated with CAD in the extended meta-analysis (odds ratio 1.09, p = 1.58x10(-12)). The other two SNPs at the locus were not in linkage disequilibrium with the lead SNP and by a conditional analysis showed p-values of 4.05 x 10(-10) and 2.21 x 10(-6). Thus, studying genes reported to interact with glatiramer acetate we identified genetic variants that concordantly with the drug increase the risk of CAD. Of these, TGFB1 displayed signal for association. Indeed, the gene has been associated with CAD previously in both in vivo and in vitro studies. Here we establish genome-wide significant association with CAD in large human samples.
Published: 2017

31. New genetic loci link adipose and insulin biology to body fat distribution

Author: Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, 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Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Department of Genetics, University of Groningen [Groningen], deCODE Genetics, deCODE genetics [Reykjavik], Pediatric Pulmonology, Allergology & Epidemiology, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG)-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Department of Nutrition-Dietetics, Harokopio University of Athens, Yale School of Medicine [New Haven, Connecticut] (YSM), National Heart and Lung Institute (NHLI), Imperial College London, Queensland Institute of Medical Research, Concord Hospital, Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Dept. Atherosclerose, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), Department of Public Health & Primary Care, University of Cambridge [UK] (CAM), Department of cardiology, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford, Department of Internal Medicine, University of Pisa - Università di Pisa, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Health Sciences Research Institute, Warwick, Department of Nephrology, University Medical Center, University of Groningen, Institute of Genetic Epidemiology, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, University of Iceland [Reykjavik], Executive Board, Polycystic Kidney Disease Charity (PKD Charity)-Ciliopathy Alliance-International Alliance, Department of Zoology, University of Otago [Dunedin, Nouvelle-Zélande], Institute for Community Medicine, Department Epidemiology of Health Care and Community Health, Universität Greifswald - University of Greifswald, Interfaculty Institute for Genetics and Functional Genomics, 5 University Street, Centre for Paediatric Epidemiology and Biostatistics, University College of London [London] (UCL), MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, Unit for Molecular Epidemiology, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Epidemiology and Biostatistics, Department of Life Course and Services, National Institute for Health and Welfare [Helsinki], Department of Epidemiology and Public Health, Queen's University [Belfast] (QUB), Interdisciplinary Center of Clinical Research, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, University of Hawai‘i [Mānoa] (UHM), Department of Clinical Chemistry, University of Tampere [Finland]-Tampere University Hospital, Chronic Disease Epidemiology and Prevention Unit, Université Laval [Québec] (ULaval), Centre for Bone and Arthritis Research, University of Gothenburg (GU)-Institute of Medicine, Interdisciplinary Center for Psychiatric Epidemiology, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Department of Clinical Physiology, Turku University Hospital (TYKS), Brigham and Women's Hospital [Boston], Department of Chronic Disease Prevention, Department of Cardiovascular Sciences [Leicester], University of Leicester, Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Maastricht University [Maastricht], Institute of Social and Preventive Medicine, Lausanne University Hospital, Carl Gustav Carus University Hospital, Recherches en Psychopathologie, nouveaux symptômes et lien social (EA 4050), Université de Poitiers-Université de Brest (UBO)-Université Catholique de l'Ouest (UCO)-Université de Rennes 2 (UR2), Institut de biologie de Lille - UMS 3702 (IBL), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Department of child and adolescent psychiatry, Institute for Medical Informatics, Biometry, and Epidemiology, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Clinical Institute of Medical and Chemical Laboratory Diagnostics, Karl-Franzens-Universität Graz, Peter MacCallum Cancer Center, Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital [Boston], Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
Subjects: Adipose Tissue/metabolism, Male, genetic association, subcutaneous fat, Transcription, Genetic, Adipocytes, Adipogenesis, Adipose Tissue, Age Factors, Body Mass Index, Continental Population Groups, Epigenesis, Genetic, Europe, Female, Genome, Human, Humans, Insulin, Insulin Resistance, Models, Biological, Neovascularization, Physiologic, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sex Characteristics, Waist-Hip Ratio, Body Fat Distribution, Genome-Wide Association Study, Multidisciplinary, Insulin Resistance/genetics, Genome-wide association study, Continental Population Groups/genetics, genetic analysis, heritability, gene cluster, Science::Biological sciences::Human anatomy and physiology [DRNTU], 0302 clinical medicine, high density lipoprotein cholesterol, Models, genetics [Insulin Resistance], histone modification, Age Factor, insulin receptor, 0303 health sciences, Adipocyte, Human/genetics, CARDIOGRAMplusC4D Consortium, ADIPOGENIC DIFFERENTIATION, genetic correlation, body fat, Continental Population Group, priority journal, 5 trisphosphate 3 phosphatase, GEFOS Consortium, meta analysis (topic), Science & Technology - Other Topics, ddc:500, transcription regulation, Adipogenesis/genetics, Single Nucleotide/genetics, Human, medicine.medical_specialty, Waist, phosphatidylinositol 3, European, ta3111, genetic regulation, Article, developmental biology, 03 medical and health sciences, MAGIC Investigators, transcription initiation site, SDG 3 - Good Health and Well-being, Genetic, genomics, GLYCEMIC TRAITS, genetics [Continental Population Groups], Polymorphism, GENOME-WIDE ASSOCIATION, Physiologic, genetics [Adipogenesis], Adipocytes/metabolism, Europe/ethnology, Genome, Human/genetics, Insulin/metabolism, Neovascularization, Physiologic/genetics, Obesity/genetics, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Transcription, Genetic/genetics, Genetic/genetics, Adipogenesi, Science & Technology, adiponectin, [ SDV ] Life Sciences [q-bio], vasculotropin, genetics [Quantitative Trait Loci], ta1184, Racial Groups, ta1182, gene mapping, ta3121, triacylglycerol blood level, medicine.disease, Biological, major clinical study, amino acid sequence, metabolism [Insulin], Endocrinology, metabolism [Adipocytes], genetic loci, insulin, body fat, GLGC, International Endogene Consortium, metabolism [Adipose Tissue], Body mass index, HUMAN HEIGHT, Epigenesis, LifeLines Cohort Study, ReproGen Consortium, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, tissue level, Physiologic/genetics, [SDV]Life Sciences [q-bio], Medizin, Adipose tissue, low density lipoprotein cholesterol, PAGE Consortium, COMMON SNPS, angiogenesis, Waist–hip ratio, genetics [Obesity], MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, single nucleotide polymorphism, fat, genetic variability, molecular biology, body mass index (BMI), ethnology [Europe], peroxisome proliferator activated receptor, 2. Zero hunger, Genetics, Genome, Single Nucleotide, waist circumference, insulin, phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase, triacylglycerol, vasculotropin, developmental biology, gene expression, genome, numerical model, adipocyte, adipose tissue, body fat distribution, body mass, female, gene locus, gene structure, hip circumference, human, insulin resistance, lipoprotein blood level, male, obesity, protein protein interaction, sex difference, waist hip ratio, Multidisciplinary Sciences, genetics [Transcription, Genetic], genetics [Polymorphism, Single Nucleotide], ADIPOGen Consortium, genetics [Neovascularization, Physiologic], Transcription, SUSCEPTIBILITY LOCI, General Science & Technology, ICBP, 030209 endocrinology & metabolism, Biology, adipocyte, MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, MESENCHYMAL STEM-CELLS, GENIE Consortium, SEXUAL-DIMORPHISM, Insulin resistance, Internal medicine, medicine, genetics [Genome, Human], ABDOMINAL ADIPOSITY, Neovascularization, 030304 developmental biology, FALSE DISCOVERY, CKDGen Consortium, Sex Characteristic, MuTHER Consortium, numerical model
Abstract: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P
Published: 2015

32. P0176 Abnormal expression of notch and Wnt/β-catenin signaling pathways in stem-like cells ALDHHICD44+ and correlation with KI67 in breast cancer.

Author: Cui, J. W., Liu, X. L., Li, P., Hu, H., Han, B., Yu, Z. Q., and Wei, W.
Subjects: *BREAST tumors, *CELL communication, *DRUG resistance in cancer cells, *GENE expression, *RNA, *STEM cells
Abstract: Background: We explored whether cell signaling pathways related to drug resistance were activated in the stem-like cells ALDHhiCD44+ or not, and analysed the relationship between ALDHhiCD44+ cells and pathological features. Methods: ALDHhiCD44+ cells and non-stem like cells ALDHlowCD44+ were separated by fluorescence-activated cell sorting from MDA-MB-231 cells. mRNA expression for Notch1 and β-catenin were estimated with Q-PCR. An immunohistochemical panel was used in patients with invasive breast carcinoma to evaluate the correlation with ALDHhiCD44+ cells with line correlation analysis. Findings: The mRNA levels of Notch1 and β-catenin were higher in ALDHhiCD44+ cells than in ALDHlowCD44+ cells (p<0.05); we also found there was a high correlation between breast cancer stem cells and Ki67 (p=0.007), but no correlation with ER (p=0.065), PR (p=0.107), and HER2 (p=0.050). Interpretation: The Notch and Wnt/β-catenin signaling pathways were abnormally activated in breast cancer stem like cells and were highly correlated with Ki67. [ABSTRACT FROM AUTHOR]
Published: 2014
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32 results on '"Han, B."'

1. One potential biomarker for teratozoospermia identified by in-depth integrative analysis of multiple microarray data.

2. Effects of graded levels of starch on the non-specific immune responses, antioxidant capacities and intestinal health in Chinese mitten crab, Eriocheir inensis.

3. Beta-glucan's varying structure characteristics modulate survival and immune-related genes expression from Vibrio harveyi-infected Artemia franciscana in gnotobiotic conditions.

4. Genetic association of DDIT3, RPL23A, SESN2 and NR4A1 genes with milk yield and composition in dairy cattle.

5. PD-L1 expression and its relationship with oncogenic drivers in non-small cell lung cancer (NSCLC).

6. Overexpression of Transforming Acidic Coiled Coil‑Containing Protein 3 Reflects Malignant Characteristics and Poor Prognosis of Glioma.

7. Global gene expression profiling of human bronchial epithelial cells exposed to airborne fine particulate matter collected from Wuhan, China.

8. Expression and biological roles of SATB1 in human bladder cancer.

9. Effectively identifying eQTLs from multiple tissues by combining mixed model and meta-analytic approaches.

10. Expression and purification of lacticin Q by small ubiquitin-related modifier fusion in Escherichia coli.

11. Expression and hormonal regulation of Hoxa10 in canine uterus during the peri-implantation period.

12. Differential gene profiling in acute lung injury identifies injury-specific gene expression.

13. [Advances in gene expression of bone marrow stromal cells].

14. Network Pharmacology-Based Strategy to Investigate the Mechanisms of Lenvatinib in the Treatment of Hepatocellular Carcinoma.

15. Characterisation of a putative glutamate 5‐kinase from Leishmania donovani

16. Intestinal DCs global gene expression dynamics affected by recombinant baker’s yeasts saccharomyces cerevisiae

17. Locomotor response to acute stressors requires hypothalamic-pituitary-interrenal axis activation and glucocorticoid receptor

18. The endocannabinoid gene faah2a modulates stress-associated behavior in zebrafish

19. The endocannabinoid gene faah2a modulates stress-associated behavior in zebrafish.

20. MicroRNA-106b-5p boosts glioma tumorigensis by targeting multiple tumor suppressor genes.

21. Pyrosequencing the midgut transcriptome of the brown planthopper, Nilaparvata lugens.

22. MicroRNA signatures associated with immortalization of EBV-transformed lymphoblastoid cell lines and their clinical traits.

23. Expression and Hormonal Regulation of E-Cadherin in Canine Uterus During Early Pregnancy.

24. Trypanosoma brucei pteridine reductase 1 is essential for survival in vitro and for virulence in mice.

25. A set of testis-specific novel genes collected from a collection of Korean Native Chicken ESTs.

26. Hybrid feature selection method for gene expression analysis.

27. P01-94 Effects of Chinese herb Danshen-Dahuang on hippocampal gene expression of APP and PS1 in rats with Alzheimer disease

28. Calcitonin impairs the anabolic effect of PTH in young rats and stimulates expression of sclerostin by osteocytes

29. Sexually dimorphic gene expression in the chick brain before gonadal differentiation.

30. Genomic correlates of glatiramer acetate adverse cardiovascular effects lead to a novel locus mediating coronary risk

31. New genetic loci link adipose and insulin biology to body fat distribution

32. P0176 Abnormal expression of notch and Wnt/β-catenin signaling pathways in stem-like cells ALDHHICD44+ and correlation with KI67 in breast cancer.

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