Zepeng Mu 🧪

Zepeng Mu

Research Fellow

Brigham and Women's Hospital

About me

Hi! My name is Zepeng Mu, I usually go by “Phoenix”, and my Chinese name is 牟泽鹏. I am a Postdoctoral Fellow with Dr. Soumya Raychaudhuri at Brigham and Women’s Hospital, Broad Institute, and Harvard Medical School. I’m passionate about integrating functional genomics tools with statistical genetics to understand how non-coding genetic variants affect gene regulation and human diseases. Spefically, I use CRISPR base editing and prime editing to introduce non-coding disease-associated variants and understand their functional impact on gene expression in human primary T cells. Before moving to Boston, I obtained my Ph.D. with Dr. Yang I. Li at The University of Chicago. I received my BS from University of Chinese Academy of Sciences (UCAS).

Education

Ph.D. Genetics

University of Chicago

BS Biology

University of Chinese Academy of Sciences

Research Interests

Immunogenomics Molecular QTL & GWAS CRISPR
Selected Publications
Impact of disease-associated chromatin accessibility QTLs across immune cell types and contexts featured image

Impact of disease-associated chromatin accessibility QTLs across immune cell types and contexts

Human genetics has emerged as one of the most dynamic areas of biology, with a broadening societal impact. In this review, we discuss recent achievements, ongoing efforts, and …

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Zepeng Mu
Precisely defining disease variant effects in CRISPR-edited single cells featured image

Precisely defining disease variant effects in CRISPR-edited single cells

Genetic studies have identified thousands of individual disease-associated non-coding alleles, but the identification of the causal alleles and their functions remains a critical …

Yuriy Baglaenko
The impact of cell-type and context-dependent regulatory variants on human immune traits featured image

The impact of cell-type and context-dependent regulatory variants on human immune traits

Background: The vast majority of trait-associated variants identified using genome-wide association studies (GWAS) are noncoding, and therefore assumed to impact gene regulation. …

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Zepeng Mu
Recent Posts
Full summary statistics for Mu et al., 2021 Genome Biology featured image

Full summary statistics for Mu et al., 2021 Genome Biology

Full summary statistics for our immune cell eQTL/sQTL study.

Generate Sashimi plot using pyGenomeTracks featured image

Generate Sashimi plot using pyGenomeTracks

Using the custom sashimiBigwig track class to generate Sashimi plots in the framework of pyGenomeTracks.