Chen Weng (@chenweng1991) / X

Chen Weng

144 posts

Chen Weng

@chenweng1991

Postdoc in Sankaran lab and Weissman lab @bloodgenes & @JswLab || Single-cell genomics/Cell-fate commitment/Gene regulation/

Cambridge, MA

scholar.google.com/citations?hl=e…

Joined February 2012

Chen Weng
@chenweng1991
Jan 23, 2024
Very delighted to share our work Deciphering cell states and genealogies of human hematopoiesis online today in @Nature (Accelerated Preview version). It is a really great collaboration of Weissman lab @JswLab and Sankaran lab @bloodgenes doi.org/10.1038/s41586… 🧵(1/n)
00:00
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Chen Weng
@chenweng1991
Aug 26, 2024
A recent commentary in bioRxiv discussed data analysis for our mtDNA-based lineage tracing technology ReDeeM. We welcome the points raised and are happy to address these concerns. We believe this will foster constructive dialogue (1/n) doi.org/10.1101/2024.0…
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Chen Weng
@chenweng1991
Dec 1, 2020
Delighted to share our work studying the molecular control for the directed β cell differentiation process @NatMetabolism nature.com/articles/s4225… Great collaboration with Jiajia Xi @FulaiJin lab and Yan Li lab @CWRUSOM.
GIF
Chen Weng
@chenweng1991
Oct 2, 2023
Delighted to share the last piece of my graduate school work that dissects disease-associated single-cell heterogeneity and continuum through multiomics @NatureComms. #SingleCell #Multiomics #diabetes nature.com/articles/s4146…
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Chen Weng
@chenweng1991
Aug 26, 2024
Replying to @chenweng1991
As a trainee, I appreciate rigorous scientific discussions and am always seeking to improve my scientific work. I believe we all share the common goal of promoting robust science and creating a healthy scientific environment where everyone enjoys science.(18/n)
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Chen Weng
@chenweng1991
May 2, 2023
Massively parallel base editing to map variant effects in human hematopoiesis. Incredibly powerful to study variant-to-function at scale with single-nucleotide resolution in primary human cells. Amazing work! @jmartinrufino @bloodgenes
Jorge Diego Martin-Rufino
@jmartinrufino
May 2, 2023
Thrilled to share my PhD work in @CellCellPress! Massively parallel base editing to map variant effects in human hematopoiesis. We developed screens on blood stem cells to understand disease and develop treatments at single-nucleotide resolution.1/n cell.com/cell/fulltext/…
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Chen Weng
@chenweng1991
Aug 26, 2024
Replying to @chenweng1991
I'm truly grateful for the rigorous, supportive, and constructive environment around me. Special thanks to my co-mentors @bloodgenes @JswLab for their guidance, and heartfelt appreciation to my colleagues and family for their invaluable support!
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Chen Weng
@chenweng1991
Aug 26, 2024
Replying to @chenweng1991
First, mitigating artifacts is at the core of ReDeeM design. It uses overlapping paired-end sequencing and double-stranded UMIs (similar to duplex-seq) to not only remove PCR and sequencing errors, but also reduce artifacts in one strand of the initial molecules. (5/n)
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Chen Weng
@chenweng1991
Jan 23, 2024
Replying to @chenweng1991
@alexa_schnell @KatieEYost @LukeKoblan @jmartinrufino, many thanks to reviewers for their helpful suggestions, and also thanks for the very inspiring pioneering work on mitochondrial lineage tracing from @LeifLudwig @CalebLareau, and colleagues. (end)
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Chen Weng
@chenweng1991
Oct 18, 2019
Excited to be presenting our work reconstructing single cell developmental tree for human pancreatic beta cell differentiation at #ashg19 9am in level 3, ballroom C!
Chen Weng
@chenweng1991
Mar 15, 2019
Our work on disease associated single-cell trajectory in pancreatic beta cell combined with genome-wide CRISPR screen is out @CellReports! cell.com/action/showAbs… Great collaboration with Zhou. Check our RePACT for disease trajectory analysis github.com/chenweng1991/R…
Chen Weng
@chenweng1991
Aug 26, 2024
Replying to @chenweng1991
By way of background, we had described the single-cell Regulatory multi-omics with Deep Mitochondrial mutation profiling (ReDeeM) approach in a @Nature paper earlier this year: nature.com/articles/s4158… (2/n)
Deciphering cell states and genealogies of human haematopoiesis
From nature.com
3.3K
Chen Weng
@chenweng1991
Jan 23, 2024
Replying to @chenweng1991
How to track detailed cell fate/behaviors over time in humans in vivo? Technologies that can simultaneously provide single-cell state and genealogical information from natural cellular barcodes (somatic mutations) would, in principle, provide a solution. (2/n)
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Chen Weng
@chenweng1991
Aug 26, 2024
Replying to @chenweng1991
We acknowledge the limitations of ReDeeM and mtDNA lineage tracing. Our goal is not to build perfect trees with these mutations alone, but explore what is possible with improved sensitivity to gain deeper insights into cell-cell relationships and uncover valuable biology. (16/n)
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