13 results on '"Wentao Han"'
Search Results
2. Adaptive Bird-like Genome Miniaturization During the Evolution of Scallop Swimming Lifestyle
- Author
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Yuli Li, Yaran Liu, Hongwei Yu, Fuyun Liu, Wentao Han, Qifan Zeng, Yuehuan Zhang, Lingling Zhang, Jingjie Hu, Zhenmin Bao, and Shi Wang
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Computational Mathematics ,Genetics ,Molecular Biology ,Biochemistry - Abstract
Genome miniaturization drives key evolutionary innovations of adaptive traits in vertebrates, such as the flight evolution of birds. However, a similar evolutionary process remains poorly understood in invertebrates. Derived from the second-largest animal phylum, scallops are a special group of bivalve molluscs and acquire the evolutionary novelty of the swimming lifestyle, providing excellent models for investigating the coordinated genome and lifestyle evolution. Here, we show for the first time that genome sizes of scallops exhibit a generally negative correlation with locomotion activity. To elucidate the co-evolution of genome size and swimming lifestyle, we focus on the Asian moon scallop (Amusium pleuronectes) that possesses the smallest known scallop genome while being among scallops with the highest swimming activity. Whole-genome sequencing of A. pleuronectes reveals highly conserved chromosomal macrosynteny and microsynteny, suggestive of a highly contracted but not degenerated genome. Genome reduction of A. pleuronectes is facilitated by significant inactivation of transposable elements, leading to reduced gene length and elevated expression of energy-producing gene pathways and the decrease of copy number and expression level of biomineralization genes. Similar evolutionary changes of relevant pathways are also observed for bird genome reduction with flight evolution. The striking mimicry of genome miniaturization underlying the evolution of bird flight and scallop swimming unveils the potentially common, pivotal role of genome size fluctuation in the evolution of novel lifestyles in the animal kingdom.
- Published
- 2022
3. DNMT3A Mutations Enhance T-ALL Survival, Which Is Reversed By JAK/STAT Inhibition
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Wangisa M.B. Dunuwille, William Casey Wilson, Nancy Issa, Won Kyun Koh, Wentao Han, and Grant A Challen
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Immunology ,Cell Biology ,Hematology ,Biochemistry - Published
- 2022
4. Using a Humanized Animal Model to Determine the Minimum JAK2V617F Mutant Allele Burden Required to Generate MPN Pathologies
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Tyler M. Parsons, Aishwarya Krishnan, Wentao Han, Andrew L Young, and Grant A Challen
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Immunology ,Cell Biology ,Hematology ,Biochemistry - Published
- 2022
5. The PRC2 Co-Factor JARID2 Regulates Hematopoiesis through Non-Canonical Mechanisms
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Hassan Bjeije, Infencia Xavier Raj, Hamza Celik, Nancy Issa, Wentao Han, Jason Arand, and Grant A Challen
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Immunology ,Cell Biology ,Hematology ,Biochemistry - Published
- 2022
6. Dnmt3a Loss-of-Function Enhances DNA Repair in Proliferative HSCs Under Inflammatory Stress
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Christine R Zhang, Jason Arand, Wentao Han, Infencia Xavier Raj, Saranajith Dunuwille, and Grant A Challen
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Immunology ,Cell Biology ,Hematology ,Biochemistry - Published
- 2022
7. Genomic and transcriptomic landscapes and evolutionary dynamics of molluscan glycoside hydrolase families with implications for algae-feeding biology
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Lijie Yao, Jing Wang, Hongwei Yu, Zhenmin Bao, Cong Cui, Fuyun Liu, Yuli Li, Shi Wang, Wentao Han, and Jingjie Hu
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lcsh:Biotechnology ,Adaptive evolution ,Gene family expansion ,Biophysics ,Gene regulatory network ,Biology ,Biochemistry ,03 medical and health sciences ,0302 clinical medicine ,Structural Biology ,lcsh:TP248.13-248.65 ,Genetics ,Gene family ,Evolutionary dynamics ,Algae feeding ,ComputingMethodologies_COMPUTERGRAPHICS ,030304 developmental biology ,0303 health sciences ,Phylum ,biology.organism_classification ,Computer Science Applications ,Evolutionary biology ,Glycoside hydrolase ,030220 oncology & carcinogenesis ,Identification (biology) ,Hepatopancreas ,Mollusc ,Adaptation ,Functional divergence ,Research Article ,Biotechnology - Abstract
Graphical abstract, Highlights • Genome-wide characterization of GH families is conducted for Mollusca. • GH9, GH10, GH18 and GH20 families are remarkably expanded in molluscs. • The wide adoption of CBMs likely facilitates the hydrolysis of polysaccharides. • Hepatopancreas is the main organ for the prominent expression of GH families. • Functional divergence of GH families possibly contributes to their adaptive roles., The hydrolysis of sugar-containing compounds by glycoside hydrolases (GHs) plays essential roles in many major biological processes, but to date our systematic understanding of the functional diversity and evolution of GH families remains largely limited to a few well-studied terrestrial animals. Molluscs represent the largest marine phylum in the animal kingdom, and many of them are herbivorous that utilize algae as a main nutritional source, making them good subjects for studying the functional diversity and adaptive evolution of GH families. In the present study, we conducted genome-wide identification and functional and evolutionary analysis of all GH families across major molluscan lineages. We revealed that the remarkable expansion of the GH9, GH10, GH18 and GH20 families and the wide adoption of carbohydrate-binding modules in molluscan expanded GH families likely contributed to the efficient hydrolysis of marine algal polysaccharides and were involved in the consolidation of molluscan algae-feeding habits. Gene expression and network analysis revealed the hepatopancreas as the main organ for the prominent expression of approximately half of the GH families (well corresponding to the digestive roles of the hepatopancreas) and key or hub GHs in the coexpression gene network with potentially diverse functionalities. We also revealed the evolutionary signs of differential expansion and functional divergence of the GH family, which possibly contributed to lineage-specific adaptation. Systematic analysis of GH families at both genomic and transcriptomic levels provides important clues for understanding the functional divergence and evolution of GH gene families in molluscs in relation to their algae-feeding biology.
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- 2020
8. Recent progress of inertial microfluidic-based cell separation
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Ming Yin, Jiangfan Yao, Lingling Sun, Renjie Wang, Jingjing Sun, Xiwei Huang, Jinhong Guo, Xuefeng Xu, Wentao Han, Jin Chen, and Maoyu Wei
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Technology ,Inertial frame of reference ,Computer science ,Microfluidics ,Cell Separation ,Microfluidic Analytical Techniques ,Biochemistry ,Sample (graphics) ,Displacement (vector) ,Analytical Chemistry ,Electrochemistry ,Electronic engineering ,Cell separation ,Environmental Chemistry ,Throughput (business) ,Spectroscopy ,Microscale chemistry ,Communication channel - Abstract
Cell separation has consistently been a pivotal technology of sample preparation in biomedical research. Compared with conventional bulky cell separation technologies applied in the clinic, cell separation based on microfluidics can accurately manipulate the displacement of liquid or cells at the microscale, which has great potential in point-of-care testing (POCT) applications due to small device size, low cost, low sample consumption, and high operating accuracy. Among various microfluidic cell separation technologies, inertial microfluidics has attracted great attention due to its simple structure and high throughput. In recent years, many researchers have explored the principles and applications of inertial microfluidics and developed different channel structures, including straight channels, curved channels, and multistage channels. However, the recently developed multistage channels have not been discussed and classified in detail compared with more widely discussed straight and curved channels. Therefore, in this review, a comprehensive and detailed review of recent progress in the multistage channel is presented. According to the channel structure, the inertial microfluidic separation technology is divided into (i) straight channel, (ii) curved channel, (iii) composite channel, and (iv) integrated device. The structural development of straight and curved channels is discussed in detail. And based on straight and curved channels, the multistage cell separation structures are reviewed, with a special focus on a variety of latest structures and related innovations of composite and integrated channels. Finally, the future prospects for the existing challenges in the development of inertial microfluidic cell separation technology are presented.
- Published
- 2021
9. High-Precision Lensless Microscope on a Chip Based on In-Line Holographic Imaging
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Xiwei Huang, Lingling Sun, Jiangfan Yao, Xuefeng Xu, Maoyu Wei, Yangbo Li, Jin Chen, Renjie Wang, Weipeng Xuan, and Wentao Han
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Microscope ,Image quality ,Computer science ,Phase (waves) ,Holography ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,02 engineering and technology ,lcsh:Chemical technology ,high-resolution ,Biochemistry ,Article ,POCT ,Analytical Chemistry ,law.invention ,03 medical and health sciences ,law ,Shadow ,Computer vision ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Instrumentation ,030304 developmental biology ,0303 health sciences ,lensless holographic microscope ,business.industry ,phase recovery ,on-chip imaging ,Holographic imaging ,021001 nanoscience & nanotechnology ,Chip ,Sample (graphics) ,Atomic and Molecular Physics, and Optics ,Lens (optics) ,Line (geometry) ,Artificial intelligence ,0210 nano-technology ,business - Abstract
The lensless on-chip microscope is an emerging technology in the recent decade that can realize the imaging and analysis of biological samples with a wide field-of-view without huge optical devices and any lenses. Because of its small size, low cost, and being easy to hold and operate, it can be used as an alternative tool for large microscopes in resource-poor or remote areas, which is of great significance for the diagnosis, treatment, and prevention of diseases. To improve the low-resolution characteristics of the existing lensless shadow imaging systems and to meet the high-resolution needs of point-of-care testing, here, we propose a high-precision on-chip microscope based on in-line holographic technology. We demonstrated the ability of the iterative phase recovery algorithm to recover sample information and evaluated it with image quality evaluation algorithms with or without reference. The results showed that the resolution of the holographic image after iterative phase recovery is 1.41 times that of traditional shadow imaging. Moreover, we used machine learning tools to identify and count the mixed samples of mouse ascites tumor cells and micro-particles that were iterative phase recovered. The results showed that the on-chip cell counter had high-precision counting characteristics as compared with manual counting of the microscope reference image. Therefore, the proposed high-precision lensless microscope on a chip based on in-line holographic imaging provides one promising solution for future point-of-care testing (POCT).
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- 2020
10. Correction: Huang et al. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring. Sensors 2021, 21, 512
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Xiwei Huang, Hyungkook Jeon, Jixuan Liu, Jiangfan Yao, Maoyu Wei, Wentao Han, Jin Chen, Lingling Sun, and Jongyoon Han
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n/a ,Chemical technology ,TP1-1185 ,Electrical and Electronic Engineering ,Biochemistry ,Instrumentation ,Atomic and Molecular Physics, and Optics ,Analytical Chemistry - Abstract
The authors wish to make the following correction to their paper [...]
- Published
- 2021
11. The Histone Demethylase KDM6B Is a Genetic Dependency of NOTCH1-Driven T-ALL
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Won Kyun Koh, Grant A. Challen, Hamza Celik, Christine R. Zhang, Tyler Parsons, Hassan Bjeije, Wentao Han, Wangisa M.B. Dunuwille, and Nancy Issa
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Histone ,Dependency (UML) ,biology ,Chemistry ,Immunology ,biology.protein ,Demethylase ,Cell Biology ,Hematology ,Biochemistry ,Cell biology - Abstract
T-cell acute lymphoblastic leukemia (T-ALL) arises from the accumulation of genomic abnormalities and the malignant proliferation of immature T-cells. Despite recent advancements in understanding the genetic alterations driving T cell leukemogenesis, patients still suffer from recurrent relapses and treatment-related toxicities. Genome sequencing has revealed significant heterogeneity and important insights into the genetic landscape of T-ALL. Mutations in epigenetic modifiers are frequently observed and serve as an attractive target for novel therapeutic approaches. Histone demethylase enzymes play a critical role in the regulation of gene expression programs in T-ALL. KDM6A (UTX) is known to behave as a tumor suppressor in most T-ALL subtypes. However, it's gene paralog, KDM6B (JMJD3), is never mutated and can be significantly overexpressed in patients. Here, we show that KDM6B is required for T-ALL initiation. Using genetic mouse models, Sca-1 enriched WBM from Vav-Cre: Kdm6b+/+, Vav-Cre: Kdm6bfl/+, and Vav-Cre: Kdm6bfl/fl adult mice was transduced with a retrovirus expressing Notch1 Intracellular Domain (NICD). NOTCH1 gain-of-function mutations are the most frequent driver events in adult T-ALL, and this model recapitulates many of the human pathologies. Transduced cells were transplanted into irradiated mice. While there was robust engraftment in all groups at four weeks post-transplant, T-ALL cells were not sustained in the genetic absence of Kdm6b. Mice receiving control NICD-GFP+ cells succumbed to T-ALL with median survival of 79 days, whereas the only mice receiving Kdm6b-null NICD-GFP+ cells that developed disease were found to retain one copy of the Kdm6b floxed allele (Fig 1). To investigate the translational potential, we targeted KDM6B for genetic inactivation by CRISPR/Cas9 in primary T-ALL patient cells, followed by xenograft into NSG mice. The effect of KDM6B targeting was quantified over time by monitoring the variant allele fraction (VAF) of the transplanted cells. In most patient samples, KDM6B-targeted cells were significantly outcompeted over time, thus further highlighting the requirement of KDM6B in sustaining T-ALL tumorigenesis. To examine the mechanism by which KDM6B sustain T-ALL cells, gene expression profiling was performed by RNA-seq on mouse T-ALL cells of genetic backgrounds Control, Kdm6b-Het, and Kdm6b-KO. Three gene sets were significantly downregulated in Kdm6b-deficient T-ALL cells compared to the Control group, all of which are involved in cell cycle processes. Additional validation of these findings with cell cycle functional studies is currently ongoing. Additionally, while Kdm6b has been described for its H3K27me3 histone demethylase function, recent studies have shown its involvement in regulating various gene expression programs through demethylase-independent mechanisms. To determine if the role of Kdm6b in T-ALL oncogenesis was related to it demethylase activity, we performed the same NICD retroviral transduction experiment with inclusion of a Kdm6b +/H1388Amouse genotype, a point mutation which renders Kdm6b catalytically dead. Our data shows that Kdm6b +/H1388Aphenocopies T-ALL with Kdm6b homozygous loss-of-function, showing no evidence of disease in the blood beyond 8-weeks post-transplant. We conclude from this that the leukemogenic role of Kdm6b requires it's H3K27me3 demethylase function. In summary, these data reveal Kdm6b as an oncogenic dependency in Notch1-driven T-ALL in both mouse and human systems, and present Kdm6b as a high value therapeutic target in adult T-ALL patients. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.
- Published
- 2021
12. A Novel Humanized Animal Model Reveals Clonal Architecture and Therapeutic Vulnerabilities in Myelofibrosis
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Grant A. Challen, Hamza Celik, Won Kyun Koh, Tiandao Li, Wentao Han, Maggie J. Allen, Stephen T. Oh, Nancy Issa, Ruochao Cz Zhang, Ethan Krug, Daniel A.C. Fisher, Hassan Bjeije, and Terrence N. Wong
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Ruxolitinib ,education.field_of_study ,business.industry ,Immunology ,Population ,CD34 ,Cell Biology ,Hematology ,medicine.disease ,Biochemistry ,Transplantation ,medicine.anatomical_structure ,Cancer research ,medicine ,Bone marrow ,Progenitor cell ,Myelofibrosis ,business ,education ,Myeloproliferative neoplasm ,medicine.drug - Abstract
Myelofibrosis (MF) is the deadliest subtype of myeloproliferative neoplasm (MPN) with a median survival of approximately 5 years. Ruxolitinib, a front line therapy for JAK2V617F mutant MPN, can alleviate symptoms of the disease, but does not eliminate the malignant clone and has minimal impact on BM fibrosis and overall survival. Current mouse models do not recapitulate the clinical heterogeneity, clonal genetic composition, or morphological features of MF. Most notably, these models do not generate robust reticulin fibrosis in the bone marrow, the most significant MF pathology. This lack of clinically relevant MF models presents a major barrier to deciphering the complex genetic drivers of the disease and developing effective therapies against it. We evaluated the ability of CD34+ hematopoietic stem and progenitor cells (HSPCs) from MF patients (that contain the MPN-disease initiating population) to give rise to MF in xenotransplanted NSGS mice. >5x104 FACS-sorted CD34+ HSPCs from the peripheral blood of MF patients with JAK2V617F (n=12), CALRindels (n=7) and MPLW515L (n=2) were transplanted into sublethally irradiated (200rads) NSGS mice via X-ray guided intra-tibial injection. We observed robust engraftment of patient-derived cells at 12 weeks post-transplant regardless of their genetic background or donor patient disease severity (Fig 1A). Post-transplant, BM analysis revealed robust expansion of phenotypically defined MF HSCs relative to cord blood CD34+ control recipients, suggesting a permissive niche for MF HSCs to undergo self-renewal. Remarkably, transplantation of CD34+ cells produced other hallmarks of MF in recipient animals such as splenomegaly, thrombocytosis and most importantly BM reticulin fibrosis in all recipients (Fig 1B). We assessed the clonal architecture of engrafted human cells compared to the primary disease in the donor patients through exome sequencing of CD34+ cells prior to transplantation and hCD45+ cells from MF xenografts. We found that the clonal and subclonal mutational landscape observed in CD34+ cells prior to transplantation was maintained in recipient mice (Fig 1C), suggesting that the PDX model accurately reflects the cellular composition of the primary disease. Intriguingly, in two of the xenografted patient samples, we identified additional mutations that were not detected in the primary patient samples using standard sequencing - namely TP53R248Q and EZH2Y663H respectively. Two years after we detected these mutations in PDXs, these MF patients transformed into sAML with acquisition of TP53R248Q and EZH2Y663H mutations. We performed droplet digital PCR and demonstrated that indeed rare pre-leukemic subclones containing these mutations were present at low levels (< 0.01% VAF) in chronic stage MF patients at least two years prior to sAML progression. These data also suggested that these rare subclones responsible for leukemic transformation expand significantly (>300 fold) under the selective pressure of transplantation in NSGS mice. Additional validation of these findings in a further six pre-sAML MF patient samples is currently ongoing. If successful, this model could be used to prospectively identify rising leukemic clones in chronic stage MF patients, which are below the level of detect of standard sequencing as a mechanism to stratify such patients for more aggressive treatments. While sequencing can identify ultra-rare variants, it cannot discern their functional potential for sAML transformation, which is the advantage of this approach. Finally, we harnessed this system for pre-clinical studies, initially focusing on inhibiting the JAK/STAT signaling pathway. Ruxolitinib treatment in MF PDXs produced remarkably similar phenotypes as observed in patients. We observed a small, but significant reduction in engraftment of MF cells in the BM and a sharp reduction in spleen size in Ruxolitinib-treated group compared to vehicle control. Ruxoltinib treatment however did not reduce the frequency of MF HSCs, the disease initiating population or lessen the degree of reticulin fibrosis. These data suggest that this system can be used as a reliable, clinically-relevant drug screening platform. Taken together, we offer the field a critical, previously missing biologically relevant screening system for validation of MPN drug targets identified in cell lines or genetic mouse models prior to moving forward into clinical trials. Disclosures Oh: Blueprint Medicines: Consultancy; Celgene/BMS: Consultancy; Constellation: Consultancy; CTI Biopharma: Consultancy; Disc Medicine: Consultancy; Gilead Sciences: Consultancy; Incyte Corporation: Consultancy; Kartos Therapeutics: Consultancy; Novartis: Consultancy; PharmaEssentia: Consultancy.
- Published
- 2020
13. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring
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Xiwei Huang, Hyungkook Jeon, Jixuan Liu, Jiangfan Yao, Maoyu Wei, Wentao Han, Jin Chen, Lingling Sun, and Jongyoon Han
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neutrophil activation ,Neutrophils ,Computer science ,transfer learning ,lcsh:Chemical technology ,label-free ,Biochemistry ,Article ,Analytical Chemistry ,Leukocyte Count ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,Humans ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Instrumentation ,030304 developmental biology ,Label free ,0303 health sciences ,business.industry ,Deep learning ,Correction ,deep learning ,Pattern recognition ,white blood cell classification ,point-of-care ,Atomic and Molecular Physics, and Optics ,Immune state ,Fluorescent labelling ,Neural Networks, Computer ,Artificial intelligence ,business ,030217 neurology & neurosurgery - Abstract
The differential count of white blood cells (WBCs) is one widely used approach to assess the status of a patient’s immune system. Currently, the main methods of differential WBC counting are manual counting and automatic instrument analysis with labeling preprocessing. But these two methods are complicated to operate and may interfere with the physiological states of cells. Therefore, we propose a deep learning-based method to perform label-free classification of three types of WBCs based on their morphologies to judge the activated or inactivated neutrophils. Over 90% accuracy was finally achieved by a pre-trained fine-tuning Resnet-50 network. This deep learning-based method for label-free WBC classification can tackle the problem of complex instrumental operation and interference of fluorescent labeling to the physiological states of the cells, which is promising for future point-of-care applications.
- Published
- 2021
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