Kaifu Chen Profile
Kaifu Chen

@kaifu3

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Associate Professor @ Harvard. Bioinformatics, epigenetics, cell differentiation, cardiovascular, and cancer research.

Harvard University
Joined July 2011
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@HarvardDBMI
DBMI at Harvard Med
1 year
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 https://t.co/vUF9vhCi9Z - Bioinformatics and Integrative Genomics (BIG) track 10/28 5pm ET https://t.co/Aw6xAuo4Ul
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@Yanqiang6688
Yanqiang Li
1 year
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! https://t.co/jprp7gyqFK
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@kaifu3
Kaifu Chen
2 years
We are #hiring again! Know anyone who might be interested? Will be grateful if could kindly circulate the ads in your community.
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@kaifu3
Kaifu Chen
3 years
Gordon Research Conference — The Epigenetic Regulation of Cardiovascular Disease
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@CircAHA
Circulation
3 years
#OriginalResearch: Targeting Epsins to Inhibit FGF Signaling while Potentiating TGF-β Signaling Constrains Endothelial-to-Mesenchymal-Transition in Atherosclerosis @BischoffJoyce @kaifu3 #AHAJournals https://t.co/pki6mtWEz4
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@kaifu3
Kaifu Chen
3 years
2023 International Conference on Intelligent Biology and Medicine (ICIBM 2023), July 16-19, 2023, Tampa, FL, USA Website: https://t.co/rBCmXkislr
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@kaifu3
Kaifu Chen
3 years
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
Abstract. Despite being a member of the chromodomain helicase DNA-binding protein family, little is known about the exact role of CHD6 in chromatin remodel
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@kaifu3
Kaifu Chen
3 years
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.
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ahajournals.org
Background: Excess cholesterol accumulation in lesional macrophages elicits complex responses in atherosclerosis. Epsins, a family of endocytic adaptors, fuel the progression of atherosclerosis;...
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@kaifu3
Kaifu Chen
3 years
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. https://t.co/oOBwzgKo4j
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biorxiv.org
We developed MEBOCOST, a computational algorithm for quantitatively inferring metabolite-based intercellular communications using single cell RNA-seq data. MEBOCOST predicted cell-cell communication...
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@rongbin_zheng
Rongbin Zheng
3 years
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! https://t.co/3rOQGRmiEZ
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biorxiv.org
We developed MEBOCOST, a computational algorithm for quantitatively inferring metabolite-based intercellular communications using single cell RNA-seq data. MEBOCOST predicted cell-cell communication...
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@kaifu3
Kaifu Chen
4 years
Deadline November 1, 2021: Position opening for a tenure track Assistant Professor in Harvard Medical School at Boston Children's Hospital
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@kaifu3
Kaifu Chen
5 years
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 https://t.co/NV3laGXtBo
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nature.com
Nature Cell Biology - Yi et al. report that EZH2 exerts a PRC2-independent function in nucleoli, where it bridges FBL and NOP56 to facilitate rRNA methylation and subsequent IRES-dependent...
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@GenomeBiology
Genome Biology
6 years
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 https://t.co/0VooO3815K
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