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<h2 itemprop="name">Liu Wang</h2>
<h3 itemprop="jobTitle">Ph.D. in Genetics</h3>
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Mayo Clinic Arizona
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<h1 id="about-me">Bio</h1>
<p>I am a Senior Research Fellow in the Department of Physiology and Biomedical Engineering at <a href="https://www.mayoclinic.org/patient-visitor-guide/arizona" target="_blank">Mayo Clinic in Arizona</a>.</p>
<p>My academic journey began with a PhD in <a href="https://biox.ustc.edu.cn/main.htm" target="_blank">School of Life Sciences</a>, <a href="https://en.ustc.edu.cn/" target="_blank">University of Science and Technology of China</a>,
where my research focused on the identification of genetic mutations that cause human male infertility by disrupting meiosis. Following this, I worked as a Postdoctoral Researcher under the mentorship of <a href="https://cs.wikipedia.org/wiki/Ji%C5%99%C3%AD_Forejt" target="_blank">Dr.Jiří Forejt</a> at <a href="https://www.img.cas.cz/" target="_blank">Institute of Molecular Genetics</a>,
<a href="https://www.biocev.eu/en" target="_blank">Division BIOCEV</a>, <a href="https://www.avcr.cz/en/" target="_blank">Academy of Sciences of the Czech Republic</a>, Prague, Czech Republic.
During this time, I focused my research on hybrid sterility and meiotic recombination in mouse inter-species hybrids. In 2018, I joined <a href="https://case.edu/medicine/genetics/" target="_blank">department of Genetics and Genome Sciences</a>, School of Medicine, <a href="https://case.edu/" target="_blank">Case Western Reserve University</a> under the supervision of <a href="https://case.edu/medicine/genetics/people/primary-faculty/yan-li" target="_blank">Dr.Yan Li</a>,
where I expanded my research area from human reproduction to beta cells, genomics and diabetes. I developed a droplet-based, single-cell RNA-seq method to determine the transcriptomes of individual pancreatic cells from mouse and human. At Mayo, I worked on developing a novel mulitomic platform which is able to measure histone modification and RNA from same single cells in mouse and human islets. In additional to the wet lab assays, I also developed the computational pipelines for analyzing the multiomic datasets.
I apply AI and machine learning techniques to explore diabetes mechanisms and discover potential therapeutic targets.</p>
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<div class="col-sm-6">
<h3>Research Interests</h3>
<ul class="ul-interests">
<li>Single Cell Data Analysis</li>
<li>Machine Learning/AI</li>
<li>Human Reproduction</li>
<li>Metabolism</li>
<li>Spatial Multi-omics</li>
<li>Epigenetics</li>
<li>GWAS</li>
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<p class="course">Ph.D. in Genetics, 2015</p>
<p class="institution">School of Life Sciences, University of Science and Technology of China</p>
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<li itemscope itemtype="http://schema.org/CreativeWork">
<i class="fa-li fa fa-file-text-o pub-icon" aria-hidden="true"></i>
<div class="paper-title">
Novel epigenetic regulators in metabolic diseases and chronic inflammation:
</div>
Using both beta cells and mouse models, investigates the epigenomic regulation of cellular dysfunction in diabetes and metabolic diseases, and studies the fundamental mechanisms of transcription and chromatin biology.
</li>
<p></p>
<li itemscope itemtype="http://schema.org/CreativeWork">
<i class="fa-li fa fa-file-text-o pub-icon" aria-hidden="true"></i>
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Single-cell Transcriptomics, Epigenomics and Proteomics:
</div>
Much of the effort is focused on development and application of novel statistical methods and computational tools for understanding tissue function, including analysis of multi-omics datasets.
</li>
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<h1>Recent Publications</h1>
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<div class="paper-title">
Heterogeneous enhancer states orchestrate β cell responses to metabolic stress
</div>
<div >
<b>Liu Wang* </b>, Jie Wu*, Madeline Sramek, SM Bukola Obayomi, Peidong Gao, Yan Li, Aleksey V Matveyenko, Zong Wei(2024) <i><b>Nature Communications</b></i>,15(1):9361.
</div>
<p>
<a class="btn btn-primary btn-outline btn-xs" href="https://www.nature.com/articles/s41467-024-53717-0" target="_blank">
Link
</a>
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<i class="fa-li fa fa-file-text-o pub-icon" aria-hidden="true"></i>
<div class="paper-title">
BET signaling and FXR signaling orchestrate to protect β cells
</div>
<div >
Fritz Cayabyab, Jalan Tipirneni, David Chen, Jinhyuk Choi, Clarissa Tacto, Jie Wu, <b>Liu Wang</b>, Yeva Mirzakhanyan, Paul David Gershon, Harvey Perez, Kiyoka Kim, Sungsoon Fang, Eli Ipp, Lin-Feng Chen, Zong Wei, Eiji Yoshihara(2024) <i>Under review</i>.
</div>
<p>
<a class="btn btn-primary btn-outline btn-xs" href="####" target="_blank">
Link
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<div class="paper-title">
A pulsed oscillator patterns epithelial fate in the alveolus
</div>
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Amitoj S Sawhney, Brian J Deskin, Junming Cai, Daniel Gibbard, Gibran Ali, Aaron Olson, Hannah Hausman, Liberty Sabol, Rachel Warren, Stijn De Langhe, Zintis Inde, Kristopher A Sarosiek, Evan Lemire, Adam Haber, <b>Liu Wang</b>, Zong Wei, Ria Shah, and Douglas G Brownfield.(2024) <i>Under review</i>.
</div>
<p>
<a class="btn btn-primary btn-outline btn-xs" href="####" target="_blank">
Link
</a>
</p>
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<div class="paper-title">
1773-P: Glucocorticoid Receptor Signaling Regulates Pancreatic Beta-Cell Circadian Transcriptome and Function
</div>
<div >
SATISH K SEN, <b>LIU WANG</b>, MATTHEW BROWN, JIE WU, ZONG WEI, ALEKSEY MATVEYENKO (2023) <i><b>Diabetes</b></i>, 72.
</div>
<p>
<a class="btn btn-primary btn-outline btn-xs" href="https://diabetesjournals.org/diabetes/article/72/Supplement_1/1773-P/150990" target="_blank">
Link
</a>
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Bromodomain containing 9 (BRD9) regulates macrophage inflammatory responses by potentiating glucocorticoid receptor activity
</div>
<div >
<b>Liu Wang</b>,Tae Gyu Oh, Jason Magida, Gabriela Estepa, SM Bukola Obayomi, Ling-Wa Chong, Jovylyn Gatchalian, Ruth T Yu, Annette R Atkins, Diana Hargreaves, Michael Downes, Zong Wei, Ronald M Evans (2021) <i><b>Proceedings of the National Academy of Sciences</b></i>, e2109517118.
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<a class="btn btn-primary btn-outline btn-xs" href="https://www.pnas.org/doi/abs/10.1073/pnas.2109517118" target="_blank">
Link
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Exploring the trans‐cleavage activity of CRISPR‐Cas12a (cpf1) for the development of a universal electrochemical biosensor
</div>
<div >
Yifan Dai, Rodrigo A Somoza, <b>Liu Wang</b>, Jean F Welter, Yan Li, Arnold I Caplan, Chung Chiun Liu (2019) <i><b>Angewandte Chemie</b></i>, 17560-17566.
</div>
<p>
<a class="btn btn-primary btn-outline btn-xs" href="https://onlinelibrary.wiley.com/doi/full/10.1002/ange.201910772" target="_blank">
Link
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Cisplatin-induced DNA double-strand breaks promote meiotic chromosome synapsis in PRDM9-controlled mouse hybrid sterility
</div>
<div >
<b>Liu Wang</b>, Barbora Valiskova, Jiri Forejt (2018) <i><b>Elife</b></i>, e42511.
</div>
<p>
<a class="btn btn-primary btn-outline btn-xs" href="https://elifesciences.org/articles/42511" target="_blank">
Link
</a>
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<h1>Professional Activity</h1>
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Editorial Board
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<div >
2023-Present: <a href="https://www.tandfonline.com/journals/ihuf20" target="_blank">Human Fertility</a>, Editorial Board Member.
</div>
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Guest Editorship
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<div >
2021-2023: Frontiers in Endocrinology, Guest Associate Editor, Research Topic: <a href="https://www.frontiersin.org/research-topics/33862/application-of-multi-omics-analysis-in-gametogenesis-and-the-relevant-human-infertility-diseases" target="_blank">Application of Multi-omics Analysis in Gametogenesis and the Relevant Human Infertility Diseases</a>.
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Journal Reviewer
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<div >
Frontiers in Endocrinology, Molecular Biology Reports, Reproduction in Domestic Animals, Genetic Testing and Molecular Biomarkers, Endocrine, PLOS ONE, Disease Markers, Frontiers in Genetics, Frontiers in Cardiovascular Medicine, Frontiers in Oncology, Genes & Genetic Systems, Frontiers in Reproductive Health,eLife,Human Fertility,Journal of Advanced Research
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<!--
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Alternating Least Squares for Tensor Decomposition by Pairwise Perturbation
</div>
<div >
L. Ma and E. Solomonik,
</div>
<div >
Scientific Computing Seminar, 6th March, 2019, Berkeley, CA
</div>
<p>
<a class="btn btn-primary btn-outline btn-xs" href="https://linjianma.github.io/pdf/scicomptalk.pdf" target="_blank">
Slides
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</div>
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<section id="Skills" class="home-section">
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<h1>Skills</h1>
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<li>Computing Skills:</li>
<p>R, Shell, Git, Python, Perl, C++ </p>
<li>Sequencing Data Anlaysis:</li>
<p>scRNA-seq, scATAC-seq, CUT&RUN,RNA-seq, ChIP-seq,Paired-Tag,ATAC-seq,CROP-seq</p>
<li>Machine Learning:</li>
<p>Dimensionality Reduction, Data Visualization</p>
</div>
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