Junhong Choi
@choijunhong.bsky.social
300 followers 310 following 22 posts
PI at MSKCC. Synthetic (Developmental) Biology + Molecular Recording + Genomics Tech Dev. Words like physicality of information make my heart go a little faster.
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Reposted by Junhong Choi
mskcancercenter.bsky.social
🎉 Congrats to MSK postdoc research scholar Dr. Brendan Camellato for being named a 2025 @jcchildsfund.bsky.social ‬ Research Fellow! His work will focus on how cell signaling drives #stemcell differentiation with single-cell resolution. #JCCFellow
jcchildsfund.bsky.social
We're thrilled to announce the 2025 class of Jane Coffin Childs Fellows!

See our latest blog post and "look book" to learn more about our newest Fellows and their exciting research!

www.jccfund.org/blog/the-jan...

www.jccfund.org/wp-content/u...
www.jccfund.org
choijunhong.bsky.social
Congrats Brendan Camellato for his Jane Coffin Childs Fellowship!! 🎉🎉
jcchildsfund.bsky.social
We're thrilled to announce the 2025 class of Jane Coffin Childs Fellows!

See our latest blog post and "look book" to learn more about our newest Fellows and their exciting research!

www.jccfund.org/blog/the-jan...

www.jccfund.org/wp-content/u...
www.jccfund.org
Reposted by Junhong Choi
sternberglab.bsky.social
We're thrilled to share the published version of our DRT9 story, online today @nature.com! Congratulations to all authors!

www.nature.com/articles/s41...
choijunhong.bsky.social
We’re still thinking about what this means for actual embryonic development, but it’s exciting to observe such effects in a tractable stem-cell-derived model! Huge thanks to everyone in the @jshendure.bsky.social lab—especially Jay—for supporting this project from start to finish! (13/13)
choijunhong.bsky.social
Even after resetting spatial context, we saw persistent clonal biases—suggesting an intrinsic, heritable factor shaping fate decisions, independent of spatial cues like Wnt signaling. (11/13)
Part of Image5 in the preprint, describing how major clades share similar cell-type compositions and cell numbers within each gastruloids.
choijunhong.bsky.social
In this “tree-of-trees” experiment, we dissociated a monoclonal colony into single cells (resetting spatial context) and used them to generate separate gastruloids. (10/13)
Image describing two-epoch experiment, where we first start with single cell that makes a cell colony, which is dissociated in the second epoch and each made into a monoclonal gastruloid.
choijunhong.bsky.social
Together, we found: Cell fates can diverge as early as the first cell division! Sister cells can follow drastically different paths—e.g., one lineage becomes mostly somites, another mostly neurons! (8/13)
Image showing early clonal bias from first, third and 12th cell division influencing cell fate decision between somitic vs. neural cell fate.
choijunhong.bsky.social
Once we knew monoclonal lineage recording worked, we teamed up with @cxqiu.bsky.social—an amazing and generous computational biologist—to dive into the lineage trees. (7/13)
Image showing the lineage tree of monoclonal gastruloid.
choijunhong.bsky.social
(Side note: Sam also used this approach to generate monoclonal embryoid bodies for perturbation screening with @sdomcke.bsky.social and @cxqiu.bsky.social.) bsky.app/profile/sdom... (6/13)
sdomcke.bsky.social
Expanding Perturb-seq-like screens to multicellular systems also increases the complexity of confounding effects. We encountered this when we perturbed all TFs in mosaic embryoid bodies (EBs) and develop a scalable solution by barcoding monoclonal individuals. 🧵 www.biorxiv.org/content/10.1...
Barcoded monoclonal embryoids are a potential solution to confounding bottlenecks in mosaic organoid screens
Genetic screens in organoids hold tremendous promise for accelerating discoveries at the intersection of genomics and developmental biology. Embryoid bodies (EBs) are self-organizing multicellular str...
www.biorxiv.org
choijunhong.bsky.social
To solve this, Sam developed a robust protocol to create “monoclonal gastruloids”—gastruloids seeded from a single cell. These were ideal for DNA Typewriter lineage reconstruction! (5/13)
Image describing the monoclonal gastruloid induction protocol.
choijunhong.bsky.social
However, conventional gastruloids start with 300–500 cells, and that’s a problem for us—lineage tracing from 500 cells gives you 500 independent trees, masking clonal info from earlier developmental events. (4/13)
Image describing conventional gastruloid induction protocol, which starts with 300-500 cells.
choijunhong.bsky.social
Mouse 3D gastruloids seemed like the perfect testbed—they mimic key features of early mammalian development in both shape and cell types. (Image from Turner @gastruloids.bsky.social & Martinez Arias @amartinezarias.bsky.social : doi.org/10.1002/bies...) (3/13)
Image of 3D gastruloids, highlighting their morphological development and cell-type differentiations
choijunhong.bsky.social
We previously showed that DNA Typewriter can record high-resolution lineage trees in cultured cells (HEK293T). www.nature.com/articles/s41... But could we use it to study how clonal memory shapes cell fate decisions during development? (2/13)
A time-resolved, multi-symbol molecular recorder via sequential genome editing - Nature
A DNA memory device, DNA Typewriter, uses sequential prime editing to record the order of multiple cellular events.
www.nature.com
choijunhong.bsky.social
Thank you for kind words!!
choijunhong.bsky.social
We are very thankful to Jay Shendure @jshendure.bsky.social and the lab for fostering our views that led to this review, @cp-trendsgenetics.bsky.social for all their help, and the funding agencies (NHGRI, NCI, and @damonrunyon.org) that made this work (and our previous works) possible! (2/2)
choijunhong.bsky.social
Happy to share our new review on molecular circuits for genomic recording with @chenomics.bsky.social! Here, we present our views on the remaining challenges in the field of genomic recording for reconstructing cell-fate decisions. (1/2)
cp-trendsgenetics.bsky.social
Online now -- a new Review:

"Molecular circuits for genomic recording of cellular events"
by Wei Chen & Junhong Choi (@choijunhong.bsky.social)

FREE to read till June 25th using this link:
authors.elsevier.com/a/1l2gMcQbJF...
Figure 1. Reconstructing cell signaling history with genomic recording circuits.

(A) Concept overview: cellular signals (e.g., environmental changes, signaling molecules, or cell–cell interactions) are converted into genomic recordings via event sensors in each cell. Recorded information is retrieved through sequencing assays to reconstruct each cell’s signaling history and its role in cell fate decisions. (B) Key advancements enabling genomic recording: the discovery of CRISPR-Cas9 provided precise, programmable genome editing. Single-cell profiling methods facilitated the accurate retrieval of genomic recordings. Advances in protein design and synthetic biology are transforming the development of cellular event sensors for genomic recording.
Reposted by Junhong Choi
caleblareau.bsky.social
Trying a slightly new model (for us at least) of #openscience. With @ronanchaligne.bsky.social and @karolisk.bsky.social, we pitted 10x Genomics Chromium GEM-X against Illumina PIPseq V head-to-head to understand these two platforms for single-cell genomics. Some thoughts off the bleeding edge: /1
a baby is eating a piece of food while sitting on the ground .
ALT: a baby is eating a piece of food while sitting on the ground .
media.tenor.com
Reposted by Junhong Choi
naamaaviram.bsky.social
New year, new beginnings! 🎉

The Aviram Lab will officially open its doors on March 1st @mskcancercenter.bsky.social!

We’ll study microbial immune systems and their connection to fundamental cellular processes like #RNA transcription and #DNA integrity.

#NewPI #AcademicSky #WomenInSTEM
(1/2)