Associate Professor @ Harvard. Bioinformatics, epigenetics, cell differentiation, cardiovascular, and cancer research.kaifuchenlab.github.io Harvard UniversityJoined July 2011
PhD in Biomedical Informatics applications accepted now through December 1. Join our virtual info sessions to learn more!
- AI in Medicine (AIM) track 10/30 5pm ET harvard.zoom.us/webinar/regist…
- Bioinformatics and Integrative Genomics (BIG) track 10/28 5pm ET harvard.zoom.us/meeting/regist…
Thrilled to share my paper, which explores how 2’-O-Methyl modifications at mRNA internal sites regulate mRNA stability with Nanopore Tech and Machine Learning. It is out today in @MolecularCell. Huge thanks to my mentor @kaifu3 and my collaborators!
bit.ly/4b7E0uI
This discovery was initially made by Dongyu in my lab and Lili in Qi's lab when we were studying Broad Genic Repression Domain (Nat. Commun. 2020), and completed with Min and Shaodong. I would say that the best last author should be Lili instead of me. academic.oup.com/nar/advance-ar…
Using the algorithm MEBOCOST recently developed in my lab to detect metabolite-mediated intercellular crosstalk by scRNA-seq, we successfully uncovered a critical role of Epsins in regulating lipid transport in atherosclerotic macrophages. ahajournals.org/doi/10.1161/CI…
Super excited by this powerful tool developed by @rongbin_zheng in my lab. It detects cell communications mediated by metabolites and their sensor proteins based on single cell RNA-seq data.
biorxiv.org/content/10.110…
Thrilled that my first work during my Postdoc period was in bioRxiv. We developed MEBOCOST to infer metabolite-based cell-cell communication by scRNA-seq. Try it on your scRNA-seq data! Thanks to @kaifu3, @tsengyuhua, and all co-authors of this project!
biorxiv.org/content/10.110…
It is a great pleasure to perform the bioinformatics investigations with our long-standing collaborator Dr. Qi Cao in revealing this PRC2-independent function of EZH2 in regulating rRNA 2′-O methylation
nature.com/articles/s4155…
Wang, Cao, @kaifu3 and co present TADsplimer, a method for comparing HiC datasets and identifying TADs that have split or merged between the two. Splits and merges are associated with changes in chromatin state, and follow the change genomebiology.biomedcentral.com/articles/10.11…
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