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Jesse Engreitz

@jengreitz.bsky.social
1.6K followers 190 following 64 posts

Assistant Professor @ Stanford Genetics & BASE Initiative. Mapping the regulatory code of the human genome to understand heart development and disease. www.engreitzlab.org

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Reposted by Jesse Engreitz
Shawn Cai @xshawncai.bsky.social · 09/10/2026
Have you ever looked at a gene in IGV or a genome browser and wondered “What are all those (ATAC-seq/H3K27ac/CTCF ChIP-seq/…) peaks doing?” 🤔 I’m thrilled to share that we developed a new technology called Swap-seq to answer that exact question. Swap-seq: www.biorxiv.org/content/10.6...
biorxiv.org
Systematic mapping of enhancers, silencers, and topological elements with prime editing deletion screens
Noncoding regulatory elements in the human genome can control gene expression through distinct mechanisms, including acting as enhancers, silencers, or topological elements. However, we lack tools to ...
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Jesse Engreitz @jengreitz.bsky.social · 09/10/2026
Systematic mapping of enhancers, silencers, and topological elements using prime editing deletion screens www.biorxiv.org/content/10.6... Check out our preprint on next-generation tech for mapping distal regulatory effects! We’re excited to help set this up - please get in touch Thread 👇
biorxiv.org
Systematic mapping of enhancers, silencers, and topological elements with prime editing deletion screens
Noncoding regulatory elements in the human genome can control gene expression through distinct mechanisms, including acting as enhancers, silencers, or topological elements. However, we lack tools to ...
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Reposted by Jesse Engreitz
Impact of Genomic Variation on Function @igvfconsortium.bsky.social · 26/08/2026
How do genetic variants affect secreted proteins? A new study introduces MultiSTEP, a scalable method for measuring variant effects in coagulation factor IX. The approach assessed >8,500 F9 missense variants and helped reclassify 63.1% of VUSs. pubmed.ncbi.nlm.nih.gov/40514537/
pubmed.ncbi.nlm.nih.gov
Multiplex and multimodal mapping of variant effects in secreted proteins via MultiSTEP - PubMed
Despite widespread advances in DNA sequencing, the functional consequences of most genetic variants remain poorly understood. Multiplexed assays of variant effect can measure the function of variants at scale but cannot readily be applied to the ~10% of human genes encoding secreted proteins. Here w …
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Jesse Engreitz @jengreitz.bsky.social · 26/08/2026
Yes, it’s down again. Working on it
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Reposted by Jesse Engreitz
Reese Richardson @reeserichardson.bsky.social · 25/08/2026
A massive update: At least ~15 companies~ are selling scientists antibodies using faked validation data. We've documented 18,000+ manipulated images on 17,000+ products sold by leading laboratory suppliers including Thermo Fisher, Abcam, Santa Cruz Biotechnology, Millipore Sigma and Bio-Techne. 1/🧵
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Evgeny Kvon @evgenykvon.bsky.social · 25/08/2026
First synthetic mouse enhancers active in defined embryonic tissues! Great collaboration led by @alex-stark.bsky.social lab now at @natgenet.nature.com
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Reposted by Jesse Engreitz
Mike Inouye @mikeinouye.bsky.social · 07/08/2026
Latest from our lab! A proteome-wide association study of cardiovascular diseases in 640,000 participants of multiple ancestries www.medrxiv.org/content/10.6... A truly global collaboration of computational and experimental researchers. h\t @yuxu.bsky.social, Doug Loesch, Henry Taylor among many!
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Chang M. Yun @chang-m-yun.bsky.social · 06/08/2026
Finally… Excited to share what I’ve been working on for the first half of my PhD! ENCODE GRAMMAR: One of the largest collections of regulatory DNA seq2func models to date (3,865 in total) trained across ENCODE, with full model interpretations and annotations tracks. Blog: tinyurl.com/3hmknhaa 1/
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Robin Andersson @randersson.bsky.social · 05/08/2026
Thrilled to share that our scE2G paper is now published in Nature Genetics! www.nature.com/articles/s41... scE2G predicts enhancer-gene regulatory interactions from single-cell data with state-of-the-art performance. Amazing work led by @mayayayas.bsky.social and @613weilin.bsky.social!
nature.com
Mapping enhancer–gene regulatory interactions from single-cell data - Nature Genetics
scE2G is a family of models that predict enhancer–gene regulatory interactions from single-cell datasets and enable mapping of these interactions across diverse cell types and tissues.
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Jesse Engreitz @jengreitz.bsky.social · 04/08/2026
This huge collaborative effort was made possible by support from the Novo Nordisk Foundation, @igvfconsortium.bsky.social, @chanzuckerberg.bsky.social, NSF, and NHGRI Thank you! 6/6
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Jesse Engreitz @jengreitz.bsky.social · 04/08/2026
Browse our scE2G predictions across 100s of cell types at: e2g.stanford.edu More cell types coming soon! 5/
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Jesse Engreitz @jengreitz.bsky.social · 04/08/2026
This scE2G model we expect to be invaluable in our efforts to build a regulatory map of the human genome in all cell types in the human body — many of which are only practically accessible to single-cell methods 4/
scE2G schematic: scMultiome or scATAC-seq in healthy or diseased tissues, run through scE2G, produce enhancer-gene maps across cell types A/B/C including a risk variant.
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Jesse Engreitz @jengreitz.bsky.social · 04/08/2026
This scE2G model complements the ENCODE-rE2G model we recently published in Nature Bulk DNase, ATAC, H3K27ac, and/or Hi-C --> run ENCODE-rE2G Single-cell ATAC or multiomic ATAC+RNA --> run scE2G 3/
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Jesse Engreitz @jengreitz.bsky.social · 04/08/2026
Same pipeline as before, so if you have single-cell ATAC or multiome data you can run scE2G on it today: github.com/EngreitzLab/scE2G Thanks to @randersson.bsky.social @mayayayas.bsky.social @613weilin.bsky.social and everyone who tried scE2G and sent feedback! 2/
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Jesse Engreitz @jengreitz.bsky.social · 04/08/2026
Update: scE2G is now online at Nature Genetics! Since the preprint, we added a new benchmark on a fully held-out CRISPR dataset. scE2G continues to show state-of-the-art performance, reinforcing that it generalizes well nature.com/articles/s41588-026-02695-8 1/
Held-out CRISPR benchmark: n=189 positives, 4,175 tested pairs from 5 cell types. Weighted AUPRC bar chart with scE2G-Multiome and scE2G-ATAC highest, above Distance to TSS, ABC, and 8 other single-cell methods.
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Stirling Churchman @stirlingchurchman.bsky.social · 28/07/2026
RNA-seq tells us how much RNA is present in the cell. But to understand gene regulation, we need to easily measure the synthesis and decay rates driving this abundance. We introduce AIR-seq: analog intrinsic recoding sequencing. (1/6) www.biorxiv.org/content/10.6...
biorxiv.org
Analog intrinsic recoding measures RNA dynamics without chemical conversion
Steady-state RNA abundance measurements mask the synthesis and decay rates that shape gene expression. Analog intrinsic recoding sequencing (AIR-seq) repurposes the base-pairing properties of N4-hydro...
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Kaia Mattioli @kaiamattioli.bsky.social · 25/06/2026
super excited to share that I'm starting as an Assistant Professor at CU Denver this fall! my lab will be right in the heart of downtown Denver :) mattioli-lab.org i'm hiring! if you're interested in joining us to study how alternative isoforms contribute to cancer, please reach out
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Reposted by Jesse Engreitz
Andreas Gschwind @argschwind.bsky.social · 15/07/2026
A massive team effort with @kmualim.bsky.social , @karbalayghareh.bsky.social, @mayayayas.bsky.social , @kanishkadey.bsky.social, Evelyn Jagoda, Ramil Nurtdinov, Wang Xi, Lars Steinmetz, @anshulkundaje.bsky.social , @jengreitz.bsky.social and many others across ENCODE. 6+ years in the making! 2/
ualim.bsky.social
Bluesky
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Jesse Engreitz @jengreitz.bsky.social · 15/07/2026
This was a wonderful team effort with ENCODE, @igvfconsortium.bsky.social and others. See the original threads above for more details! More thoughts to follow… 4/
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Jesse Engreitz @jengreitz.bsky.social · 15/07/2026
And there is more to come! We wrote several additional papers in the course of revising this one: scE2G — predictions from single-cell data www.biorxiv.org/content/10.1... DC-TAP-seq — CRISPR approach to scale up enhancer perturbations for future modeling www.biorxiv.org/content/10.1... 3/
biorxiv.org
Mapping enhancer-gene regulatory interactions from single-cell data
Mapping enhancers and their target genes in specific cell types is crucial for understanding gene regulation and human disease genetics. However, accurately predicting enhancer-gene regulatory interac...
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Jesse Engreitz @jengreitz.bsky.social · 15/07/2026
Browse all of these maps — and look up your favorite variant — at e2g.stanford.edu These predictions are also integrated into: screen.wenglab.org catalog.igvf.org platform.opentargets.org 2/
e2g.stanford.edu
E2G
E2G is a tool based on the Open Targets Platform for predicting enhancer-gene interactions.
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Jesse Engreitz @jengreitz.bsky.social · 15/07/2026
An encyclopedia of enhancer-gene regulatory interactions — online today! nature.com/articles/s4158… Now with an improved model, expanded maps across 1400+ biosamples, larger validation CRISPR datasets, and guidance on applying the model 1/
nature.com
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Andreas Gschwind @argschwind.bsky.social · 15/07/2026
We believe the models, benchmarks and E–G maps will provide a lasting resource. Predictions for 1,458 biosamples: www.encodeproject.org Model: github.com/EngreitzLab/ENCODE_rE2G Benchmarking pipelines: github.com/EngreitzLab/... github.com/EngreitzLab/... github.com/Deylab999MSK... 16/
encodeproject.org
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Andreas Gschwind @argschwind.bsky.social · 15/07/2026
Thrilled to share that our ENCODE enhancer–gene mapping paper is now out in Nature! An encyclopedia of human enhancer–gene regulatory interactions: www.nature.com/articles/s41... Thread 👇 1/
nature.com
An encyclopedia of human enhancer–gene regulatory interactions - Nature
An encyclopedia of more than 92 million enhancer–gene regulatory interactions created as part of the ENCODE4 project provides a valuable resource for future studies of gene regulation and human geneti...
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Reposted by Jesse Engreitz
Shoa Clarke @shoaclarke.bsky.social · 02/07/2026
Really incredible work from the Tcheandjieu Lab that finally helps us to decipher what is going on at the 9p21 locus and its association with coronary disease on different ancestral backgrounds. www.cell.com/ajhg/fulltex...
cell.com
Linkage disequilibrium and allelic heterogeneity explain variation in coronary artery disease risk at 9p21 across populations and reduced effect in Africans
Using cross-ancestry fine-mapping across global and local ancestry groups, this study dissects the 9p21.3 coronary artery disease locus and shows how ancestry-specific haplotype structure shapes assoc...
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Reposted by Jesse Engreitz
Nature @nature.com · 01/07/2026
A biology journal trialled paying their reviewers and found it led to faster first editorial decisions – and increased review quality. go.nature.com/446SaLu
go.nature.com
Why paying peer reviewers works, according to a journal’s editor-in-chief
A biology journal which paid peer reviewers found that the approach cut the time to a first editorial decision by 85% and maintained high-quality reviews.
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Jesse Engreitz @jengreitz.bsky.social · 01/07/2026
Thanks for pointing this out. We don’t think that responsiveness corresponds to sharp vs dispersed TSSs— see examples in paper where we mapped TSSs on the reporters. But, it could still have to do with these diff TFIID conformations? Open to suggestions for expts or analysis to test this!
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Reposted by Jesse Engreitz
Mikko Taipale @miketilapia.bsky.social · 30/06/2026
Our evil ORFeome paper is out! In collaboration with @alex-stark.bsky.social, we screened ~4,000 viral proteins and secreted effectors from bacteria and parasites, covering hundreds of diverse pathogens, for phenotypes in human cells.
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Reposted by Jesse Engreitz
Jason Tan @yjtan.bsky.social · 30/06/2026
We find that promoters differ dramatically in their intrinsic capacity to be activated by *any* enhancer (>100-fold vs 1.1-fold) -- from highly- to effectively non-activatable! Promoter responsiveness scales the magnitude of activation while enhancer rank-order stays similar.
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Reposted by Jesse Engreitz
Jason Tan @yjtan.bsky.social · 30/06/2026
Does every enhancer work with every promoter? With @jengreitz.bsky.social and Will Greenleaf, we revisit this long-debated question and resolve an outstanding contradiction in the field. A tour 🧵👇 www.biorxiv.org/content/10.6...
biorxiv.org
Intrinsic promoter responsiveness dictates sensitivity to transcriptional activation by enhancers
Enhancers activate specific target promoters, but whether intrinsic enhancer-promoter compatibility contributes to this specificity is debated. Recent studies using different reporter assays have reac...
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Reposted by Jesse Engreitz
Impact of Genomic Variation on Function @igvfconsortium.bsky.social · 25/06/2026
New preprint! 📢 PerturbPlan introduces an analytical framework for designing Perturb-seq and TAP-seq experiments, reducing power calculation runtimes by up to seven orders of magnitude and enabling interactive experimental design. www.biorxiv.org/content/10.6...
biorxiv.org
PerturbPlan: An analytical framework for designing Perturb-seq experiments
CRISPR screens with single-cell RNA-seq readouts provide a powerful tool for characterizing the functions of noncoding elements and genes. However, designing these experiments to balance statistical p...
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Reposted by Jesse Engreitz
Danwei Huangfu @danweihuangfu.bsky.social · 17/06/2026
New preprint with @kanishkadey.bsky.social's group. We asked: can you connect what happens to beta cells under nutrient stress in a dish to T2D genetics and dietary patterns in ~46K people? We built a "dish-to-biobank" framework to find out. #StemCells #UKBiobank www.biorxiv.org/content/10.6...
biorxiv.org
A dish-to-biobank framework links β-cell nutrient-stress programs to genetic and dietary risk for Type 2 Diabetes
Type 2 diabetes (T2D) arises from genetic susceptibility and chronic metabolic stress, but whether these converge on shared molecular programs in human populations remains unclear. Here, we develop a ...
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Jesse Engreitz @jengreitz.bsky.social · 17/06/2026
Try now?
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Reposted by Jesse Engreitz
Mike Inouye @mikeinouye.bsky.social · 09/06/2026
Super chuffed to see our latest preprint is out: Polygenic risk of cardiovascular disease manifests in cardiac structure and function 👉 www.medrxiv.org/content/10.6... A collaborative study led by exceptional PhD student Benedetta Felici!
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Mir Lab @mirlab.bsky.social · 07/06/2026
1/🧵 Can transcription factor condensate formation be explained without phase separation? Our new preprint introduces SPARK, a simulation tool that reproduces condensate behavior (clustering, fusion, FRAP) from diffusion & binding kinetics alone. Movie: 60 sec FRAP sim www.biorxiv.org/content/10.6...
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Jesse Engreitz @jengreitz.bsky.social · 06/06/2026
Planning a Perturb-seq experiment? Building virtual cells? First step to good models is good data. How many cells to profile? How deeply to sequence? What statistical power? Check out PerturbPlan — new tool from Ziang Niu in Katsevich Lab www.perturbplan.com www.biorxiv.org/content/10.6...
biorxiv.org
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Jesse Engreitz @jengreitz.bsky.social · 04/06/2026
Exciting single cell eQTL study of IBD — showing how cell type resolved QTLs at scale find colocalized signals for over half of the GWAS signals www.nature.com/articles/s41...
links.springernature.com
Cell-type-resolved genetic variation shapes inflammatory bowel disease risk - Nature
Single-cell mapping of cis-expression quantitative trait loci in inflammatory bowel disease revealed distal, enhancer-enriched variants detected at the cell-type level more frequently co-loc...
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Tjian + Darzacq Lab, UC Berkeley @tjiandarzacq.bsky.social · 02/06/2026
Out now in Science! Our study challenges long-standing assumptions about transcription factor specificity in eukaryotes. Novel single-molecule measurements of TF behavior in living cells reveal an independence of locus-specific binding from DNA sequence recognition.🧵 www.science.org/doi/10.1126/...
science.org
Unstructured transcription factor interactions enable emergent specificity
How intrinsically disordered regions (IDRs) shape chromatin binding and nuclear organization of transcription factors (TFs) remains unclear. We used proximity-assisted photoactivation (PAPA), a single...
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Ali Shaib @alishaib.bsky.social · 01/06/2026
Hello #world, meet 1,000× Expansion Microscopy. A small gel would grow to the size of an Olympic swimming pool, while amino-acid-scale distances become visible with ordinary light microscopy. Led by Helena Hu from @eboyden3.bsky.social's lab, in collab with us. Story: www.biorxiv.org/content/10.6...
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Nikhil Milind @nikhilmilind.dev · 27/05/2026
I'm excited to share that our work studying gene dosage response curves (GDRCs) is now out in Cell Genomics (@cellpress.bsky.social). www.cell.com/cell-genomic... [1/n]
cell.com
Buffering of gene dosage response curves for human complex traits
Milind et al. explore why loss-of-function variants and duplications tend to have average effects in the same direction on 94 complex traits. Using gene dosage response curves (GDRCs), they gather evi...
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Impact of Genomic Variation on Function @igvfconsortium.bsky.social · 22/05/2026
How can researchers access and build on IGVF resources?  In this workshop presentation, Michael Love, PhD, highlights the IGVF data portal, catalog, APIs, and computational tools supporting reproducible functional genomics research. youtu.be/W6Mr7O7gUNY
youtu.be
Accessing and Building on the IGVF Data Portal and Catalog
YouTube video by Impact of Genomic Variation on Function
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Dr Kathleen Millen @neurodevkathy.bsky.social · 20/05/2026
🚨🧪🧵URGENT INPUT NEEDED: NIH asks input for next strategic plan-including emphasis on non-animal models (NAMs) to replace animals. Per NIH insider, anti-animal responses now outnumber scientists 200-700x. Please please provide input. Deadline: May 26, 11:59 PM ET. grants.nih.gov/news-events/...
grants.nih.gov
NIH Seeks Input on Framework for Next NIH-Wide Strategic Plan | Grants & Funding
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Reposted by Jesse Engreitz
Igor Ulitsky @igorulitsky.bsky.social · 15/05/2026
Now out @natbiotech.nature.com ! Do lncRNAs commonly bind 1000s of genomic sites? Maybe they do, but the dozens of studies that report genomic binding maps of lncRNAs are deeply flawed, with probes binding suprious DNA sites rather than RNA-bound ones.
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Jesse Engreitz @jengreitz.bsky.social · 15/05/2026
Yes, in our original paper we used ssRNA probes, which were a bit laborious to make, but later we switched to ordering ssDNA probes from IDT which worked well
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Jesse Engreitz @jengreitz.bsky.social · 15/05/2026
We’ve done the same even odd approaches with RAP and it is much cleaner. Still useful control, though Some of the other RAP-DNA data is published here: pmc.ncbi.nlm.nih.gov/articles/PMC...
pmc.ncbi.nlm.nih.gov
Checking your browser - reCAPTCHA
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Jesse Engreitz @jengreitz.bsky.social · 15/05/2026
If you want to look at lncRNA localization to the genome, use RAP! :) pubmed.ncbi.nlm.nih.gov/25555582/
pubmed.ncbi.nlm.nih.gov
RNA antisense purification (RAP) for mapping RNA interactions with chromatin - PubMed
RNA-centric biochemical purification is a general approach for studying the functions and mechanisms of noncoding RNAs. Here, we describe the experimental procedures for RNA antisense purification (RA...
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Jesse Engreitz @jengreitz.bsky.social · 15/05/2026
Thanks for writing this up Igor. Agree with your observations about ChIRP RAP avoids this by using long probes and high stringency wash conditions (high heat, high GuSCN) that melt shorter off-target hybrids. There’s more RAP in Chapter 6 of my thesis here: dspace.mit.edu/bitstream/ha...
dspace.mit.edu
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Jesse Engreitz @jengreitz.bsky.social · 14/05/2026
We find artery repressor pathways that appear to block a particular cell state transition from tip-like cells to artery-proximal capillary cells. These pathways could be potential drug targets, because creating new collateral bypass arteries could help in the context of stroke or heart attack
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Jesse Engreitz @jengreitz.bsky.social · 14/05/2026
Why do guinea pigs have so many natural bypass arteries — and mice and humans almost none? We develop in vivo Perturb-seq for endothelial cells to ask how protective collateral arteries are built. Preprint with by Irene Fan, Ronghao Zhou, and Kristy Red-Horse: www.biorxiv.org/content/10.6...
A Perturb-seq screen guided by species divergence uncovers pathways for collateral artery formation
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Elphege Nora Lab at UCSF @elphegenoralab.bsky.social · 13/05/2026
Why can't we explain enhancer action despite 2 decades of chromosome conformation technologies? 😬 Our new study spearheaded by Leonid Mirny's group points to a flaw in our assumptions, and to a solution from physical principles By @timothyfoldes.bsky.social 💻& @karissalhansen.bsky.social 🧪 🧵👇
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