Hu

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Dr. Hu’s laboratory combines computational methods and experimental techniques to understand epigenetic regulation of gene expression of immune cells under physiologic conditions and in disease such as cancers. It is a “moisture” lab with both dry and wet components.

The epigenome of an eukaryotic cell consists of chemical changes to DNA sequence and histone proteins wrapped by the DNA sequence. Chromatin modifying enzymes, transcription factors, and transcription machinery collectively modulate the epigenome to instruct gene expression program. The overarching goal of the lab is to understand the impact of environmental stimuli on the epigenetic regulation of transcription program of immune cells and explore the dysregulation leading to disease and drug resistance. We are particularly interested in how epigenome senses environmental stimuli and then transforms to modulate transcription program in response, taking multiple myeloma in the bone-marrow microenvironment as a model system.

We combine computational methods with experimental sequencing data produced in public and generated in-house for hypothesis generation and testing. We measure the epigenome using established genome-wide profiling techniques to determine the genome-wide landscapes of different epigenetic components, such as histone modifications and transcription factors with ChIP-Seq, chromatin accessibility with ATAC-Seq, 3D chromatin with Hi-C, and gene expression with RNA-Seq. We utilize existing and develop new computational tools to explore the complexities of epigenetic regulation related to disease, in cell populations and at single cell level.

As systems immunologists, we are thrilled to embrace the era of data-rich cancer and immunology research driven by deep sequencing. Trainees in the lab will have ample opportunities to develop both computational skills and experimental skills to generate/process sequencing data and to formulate/test hypotheses. We encourage trainees with biology background to learn basics in data analysis with programming and building pipelines, and mentor trainees with computation/mathematics/physics background to formulate biology questions through interaction with biologists. The lab also commits to offer trainees opportunities to acquire essential skills for team-science through collaborations with on-campus and/or off-campus laboratories from distinctive but relevant research fields.

Recent news:
Jul, 2020:

  • Co-authored manuscript submitted with Dr Slawomir Lukomski's lab. Fingers crossed.
  • The lab received an one-year Pilot award from the Tumor Microenvironment Center of Biomedical Research Excellence (TME CoBRE).
  • Jasleen Gandhi, the first undergraduate student-worker in the lab, was admitted to a master program of Bioinformatics in the Department of Computational and Systems Biology, University of Pittsburgh. Congratulations! Update: Jasleen also got admitted to the master program of Biomedical Sciences in Health Science Center, WVU. Guess what? Jasleen chose to stay with us!!!

Jun, 2020:

May, 2020:

Mar, 2020:

Feb, 2020:

  • Sebastian Dziadowicz joined the lab as my first graduate student. Welcome again.

Jan, 2020:

  • The lab welcomes Sebastian Dziadowicz to join for rotation.

Dec, 2019:

Nov, 2019:

  • Co-authored manuscript submitted with Dr Ming Pei's lab. Update, published by Frontiers in Cell and Developmental Biology on 04/15/2020.
  • Dr Lei Wang from Institute of Biophysics, CAS, committed to join the lab as a bioinformatics post-doc. Dr Wang has numerous major author publications in respected journals. He also has several now under-review with top journals. Congratulations! Lei.

Oct, 2019:

Sep, 2019:

  • Guess what? Later of today (09/20/2019), we had our first WVU-branded co-corresponding paper submitted with Dr Edwin Wan's lab. From data analysis to paper submission, it was less than two months. Yes, that's the speed of mountaineers. Fingers crossed. Update, published with Frontiers in Immunology on 11/26/2019.

Aug, 2019:

  • Manuscript submitted for iHiC, a set of C++ utilities for data pre/post-procession to facilitate Hi-C data analysis. Update, published as a book chapter with Methods in Molecular Biology: Stem Cell Transcriptional Networks on 01/21/2020.

Jul, 2019:

  • ACT-Seq for single-cell ChIP-Seq of histone modification accepted by Nature Communications (Dr Hu as a co-author).
  • Aniello Infante joined the lab/core as a lead bioinformatician. Welcome Niel!