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Background and objective: Serotonin plays an important role in the pathophysiology of aggressive behavior. Low serotonin levels and altered functions of serotonin receptors affect suicidal behavior. TPH-1, TPH-2 and SLC6A4 genes have important roles in serotonin production and degradation pathways. In this study, polymorphic variants of the TPH-1, TPH-2 and SLC6A4 genes, rs1800532, rs7305115, rs6355 and rs1386494, were investigated in 100 completed suicides and 100 healthy individuals. Materials and methods: After DNA isolation, a new polymerase chain reaction technology KASP TM (Competitive allele-specific polymerase chain reaction method), was used in the genotyping of the selected gene variants. Results: No statistically significant difference was found for the genotype and individual allele frequencies of the polymorphic variants between suicide and control groups, as well as between men and women in suicide cases. However, we observed non-significant tendencies of increased minor alleles in suicidal men for all TPH SNPs. Conclusions: More molecular genetic research studies are needed to understand the pathophysiology of suicide and to reveal its relationship with gender.

Abstract Introduction Behçet syndrome (BS) is a chronic, multisystemic inflammatory condition with unanswered questions regarding its pathogenesis and rational therapeutics. A microarray‐based comparative transcriptomic analysis was performed to elucidate the molecular mechanisms of BS and identify any potential therapeutic targets. Methods Twenty‐nine BS patients (B) and 15 age and sex‐matched control subjects (C) were recruited. Patients were grouped as mucocutaneous (M), ocular (O), and vascular (V) according to their clinical phenotypes. GeneChip Human Genome U133 Plus 2.0 arrays were used for expression profiling on peripheral blood samples of the patients and the control subjects. Following documentation of the differentially expressed gene (DEG) sets, the data were further evaluated with bioinformatics analysis, visualization, and enrichment tools. Validation of the microarray data was performed using quantitative reverse transcriptase polymerase chain reaction. Results When p ≤ 0.05 and fold change ≥2.0 were chosen, the following numbers of DEGs were obtained; B versus C: 28, M versus C: 20, O versus C: 8, V versus C: 555, M versus O: 6, M versus V: 324, O versus V: 142. Venn diagram analysis indicated only two genes, CLEC12A and IFI27, in the intersection of M versus C ∩ O versus C ∩ V versus C. Another noteworthy gene appeared as CLC in the DEG sets. Cluster analyses successfully clustered distinct clinical phenotypes of BS. While innate immunity‐related processes were enriched in the M group, adaptive immunity‐specific processes were significantly enriched in the O and V groups. Conclusions Distinct clinical phenotypes of BS patients displayed distinct expression profiles. In Turkish BS patients, expression differences regarding the genes CLEC12A, IFI27, and CLC seemed to be operative in the disease pathogenesis. Based on these findings, future research should consider the immunogenetic heterogeneity of BS clinical phenotypes. Two anti‐inflammatory genes, namely CLEC12A and CLC, may be valuable as therapeutic targets and may also help design an experimental model in BS.

Objectives. Transcriptomics of atrial fibrillation (AFib) in the setting of chronic primary mitral regurgitation (MR) remains to be characterized. We aimed to compare the gene expression profiles of patients with degenerative MR in AFib and sinus rhythm (SR) for a clearer picture of AFib pathophysiology. Methods. After transcriptomic analysis and bioinformatics (n=59), differentially expressed genes were defined using 1.5-fold change as the threshold. Additionally, independent datasets from GEO were included as meta-analyses. Results. QRT-PCR analysis confirmed that AFib persistence was associated with increased expression molecular changes underlying a transition to heart failure (NPPB, P=0.002; ANGPTL2, P=0.002; IGFBP2, P=0.010), structural remodeling including changes in the extracellular matrix and cellular stress response (COLQ, P=0.003; COMP, P=0.028; DHRS9, P=0.038; CHGB, P=0.038), and cellular stress response (DNAJA4, P=0.038). Furthermore, AFib persistence was associated with decreased expression of the targets of structural remodeling (BMP7, P=0.021) and electrical remodeling (CACNB2, P=0.035; MCOLN3, P=0.035) in both left and right atrial samples. The transmission electron microscopic analysis confirmed ultrastructural atrial remodeling and autophagy in human AFib atrial samples. Conclusions. Atrial cardiomyocyte remodeling in persistent AFib is closely linked to alterations in gene expression profiles compared to SR in patients with primary MR. Study findings may lead to novel therapeutic targets. This trial is registered with ClinicalTrials.gov identifier: NCT00970034.

Formalin-fixed paraffin-embedded (FFPE) tissue is a widely available clinical specimen for retrospective studies. The possibility of long-term clinical follow-up of FFPE samples makes them a valuable source to evaluate links between molecular and clinical information. Working with FFPE samples in the molecular research area, especially using high-throughput molecular techniques such as microarray gene expression profiling, has come into prominence. Because of the harmful effects of formalin fixation process such as degradation of nucleic acids, cross-linking with proteins, and chemical modifications on DNA and RNA, there are some limitations in gene expression profiling studies using FFPE samples. To date many studies have been conducted to evaluate gene expression profiling using microarrays (Thomas et al., Thomas et al. (2013) [1]; Scicchitano et al., Scicchitano et al. (2006) [2]; Frank et al., Frank et al. (2007) [3]; Fedorowicz et al., Fedorowicz et al. (2009) [4]). However, there is still no generally accepted, efficient and standardized procedure for microarray analysis of FFPE samples. This paper describes the microarray data presented in our recently accepted to be published article showing a standard protocol from deparaffinization of FFPE tissue sections and RNA extraction to microarray gene expression analysis. Here we represent our data in detail, deposited in the gene expression omnibus (GEO) database with the accession number GSE73883. Four combinations of two different cRNA/cDNA preparation and labeling protocols with two different array platforms (Affymetrix Human Genome U133 Plus 2.0 and U133_X3P) were evaluated to determine which combination gives the best percentage of present call. The study presents a dataset for comparative analysis which has a potential in terms of providing a robust protocol for gene expression profiling with FFPE tissue samples. Keywords: Microarray, Gene expression, FFPE, Optimization

Behçet's disease (BD) is a chronic, relapsing, multisystemic inflammatory disorder with unanswered questions regarding its etiology/pathogenesis and classification. Distinct manifestation based subsets, pronounced geographical variations in expression, and discrepant immunological abnormalities raised the question whether Behçet's is "a disease or a syndrome". To answer the preceding question we aimed to display and compare the molecular mechanisms underlying distinct subsets of BD. For this purpose, the expression data of the gene expression profiling and association study on BD by Xavier et al (2013) was retrieved from GEO database and reanalysed by gene expression data analysis/visualization and bioinformatics enrichment tools. There were 15 BD patients (B) and 14 controls (C). Three subsets of BD patients were generated: MB (isolated mucocutaneous manifestations, n = 7), OB (ocular involvement, n = 4), and VB (large vein thrombosis, n = 4). Class comparison analyses yielded the following numbers of differentially expressed genes (DEGs); B vs C: 4, MB vs C: 5, OB vs C: 151, VB vs C: 274, MB vs OB: 215, MB vs VB: 760, OB vs VB: 984. Venn diagram analysis showed that there were no common DEGs in the intersection "MB vs C" ∩ "OB vs C" ∩ "VB vs C". Cluster analyses successfully clustered distinct expressions of BD. During gene ontology term enrichment analyses, categories with relevance to IL-8 production (MB vs C) and immune response to microorganisms (OB vs C) were differentially enriched. Distinct subsets of BD display distinct expression profiles and different disease associated pathways. Based on these clear discrepancies, the designation as "Behçet's syndrome" (BS) should be encouraged and future research should take into consideration the immunogenetic heterogeneity of BS subsets. Four gene groups, namely, negative regulators of inflammation (CD69, CLEC12A, CLEC12B, TNFAIP3), neutrophil granule proteins (LTF, OLFM4, AZU1, MMP8, DEFA4, CAMP), antigen processing and presentation proteins (CTSS, ERAP1), and regulators of immune response (LGALS2, BCL10, ITCH, CEACAM8, CD36, IL8, CCL4, EREG, NFKBIZ, CCR2, CD180, KLRC4, NFAT5) appear to be instrumental in BS immunopathogenesis.

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Background: Acute myeloid leukaemia(AML) is a disease of the haematopoietic stem cells. Beta-catenin, a key element of the Wnt signalling, which is particularly active in various cancers. Our aim of this study was to determine beta-catenin gene expression levels in AML patients. Then, it is planned to compare the genes between AML grouped according to beta-catenin gene expression levels by DNA microarray. When the gene group identified in this way is combined with the genes in the control group, the aim is to determine the genes that are associated with beta-catenin in AML. Methods: In this study, beta-catenin gene expression levels were determined in 19 AML patients and 3 controls by qRT-PCR. Transcriptome analysis was performed on AML grouped according to beta-catenin expression levels. Differentially expressed genes(DEGs) were identified and investigated with using DAVID, GO, KEGG and STRING. Results: The transcriptome profiles of our AML samples showed different molecular signature profiles according on their beta-catenin levels(high-low). A total of 20 genes have been identified as hub genes. Among these, TTK, HJURP, KIF14 and BTF3, RPL17, RSL1D1 were found to be associated with poor survival and suggested to be associated with beta-catenin in AML. Furthermore, for the first time in our study, the ELOV6 gene, which is the most highly up-regulated gene in human AML samples, was correlated with a poor prognosis via beta-catenin high levels. Conclusion: It is suggested that the identification of beta-catenin-related gene profiles in AML may help to select new therapeutic targets for the treatment of AML.

Introduction: Pluripotent stem cells have been used by various researchers to differentiate and characterize endothelial cells (ECs) and vascular smooth muscle cells (VSMCs) for the clinical treatment of vascular injuries. Studies continue to differentiate and characterize the cells with higher vascularization potential and low risk of malignant transformation to the recipient. Unlike previous studies, this research aimed to differentiate induced pluripotent stem (iPS) cells into endothelial progenitor cells (EPCs) and VSMCs using a step-wise technique. This was achieved by elucidating the spatio-temporal expressions of the stage-specific genes and proteins during the differentiation process. The presence of highly expressed oncogenes in iPS cells was also investigated during the differentiation period. Methods: Induced PS cells were differentiated into lateral mesoderm cells (Flk1+). The Flk1+ populations were isolated on day 5.5 of the mesodermal differentiation period. Flk1+ cells were further differentiated into EPCs and VSMCs using VEGF165 and platelet-derived growth factor-BB (PDGF-BB), respectively, and then characterized using gene expression levels, immunocytochemistry (ICC), and western blot (WB) methods. During the differentiation steps, the expression levels of the marker genes and proto-oncogenic Myc and Klf4 genes were simultaneously studied. Results: The optimal time for the isolation of Flk1+ cells was on day 5.5. EPCs and VSMCs were differentiated from Flk1+ cells and characterized with EPC-specific markers, including Kdr, Pecam1, CD133, Cdh5, Efnb2, Vcam1; and VSMC-specific markers, including Acta2, Cnn1, Des, and Myh11. Differentiated cells were validated based on their temporal gene expressions, protein synthesis, and localization at certain time points. Significant decreases in Myc and Klf4 gene expression levels were observed during the EPCs and VSMC differentiation period. Conclusion: EPCs and VSMCs were successfully differentiated from iPS cells and characterized by gene expression levels, ICC, and WB. We observed significant decreases in oncogene expression levels in the differentiated EPCs and VSMCs. In terms of safety, the described methodology provided a better safety margin. EPCs and VSMC obtained using this method may be good candidates for transplantation and vascular regeneration.

Senescence is a permanent proliferation arrest in response to cell stress such as DNA damage. It contributes strongly to tissue aging and serves as a major barrier against tumor development. Most tumor cells are believed to bypass the senescence barrier (become "immortal") by inactivating growth control genes such as TP53 and CDKN2A. They also reactivate telomerase reverse transcriptase. Senescence-to-immortality transition is accompanied by major phenotypic and biochemical changes mediated by genome-wide transcriptional modifications. This appears to happen during hepatocellular carcinoma (HCC) development in patients with liver cirrhosis, however, the accompanying transcriptional changes are virtually unknown. We investigated genome-wide transcriptional changes related to the senescence-to-immortality switch during hepatocellular carcinogenesis. Initially, we performed transcriptome analysis of senescent and immortal clones of Huh7 HCC cell line, and identified genes with significant differential expression to establish a senescence-related gene list. Through the analysis of senescence-related gene expression in different liver tissues we showed that cirrhosis and HCC display expression patterns compatible with senescent and immortal phenotypes, respectively; dysplasia being a transitional state. Gene set enrichment analysis revealed that cirrhosis/senescence-associated genes were preferentially expressed in non-tumor tissues, less malignant tumors, and differentiated or senescent cells. In contrast, HCC/immortality genes were up-regulated in tumor tissues, or more malignant tumors and progenitor cells. In HCC tumors and immortal cells genes involved in DNA repair, cell cycle, telomere extension and branched chain amino acid metabolism were up-regulated, whereas genes involved in cell signaling, as well as in drug, lipid, retinoid and glycolytic metabolism were down-regulated. Based on these distinctive gene expression features we developed a 15-gene hepatocellular immortality signature test that discriminated HCC from cirrhosis with high accuracy. Our findings demonstrate that senescence bypass plays a central role in hepatocellular carcinogenesis engendering systematic changes in the transcription of genes regulating DNA repair, proliferation, differentiation and metabolism.