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Karthik Guruvayurappan

@somet3000.bsky.social
83 followers 55 following 1 posts

Comp Bio PhD Student in Kushal Dey and Thomas Norman labs at MSK Cancer Center. Interested in gene regulation and sports

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Karthik Guruvayurappan @somet3000.bsky.social · 13/10/2026
Thrilled to share what we have been working on at the intersection of GWAS + Perturb-seq! Check out Tom's thread below for more details
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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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Andrew Marderstein @amarderstein.bsky.social · 15/06/2026
Our latest is out in Nature Genetics with @soumyakundu.bsky.social @anshulkundaje.bsky.social and @sbmontgom.bsky.social ! We built a resource of predicted variant effects on chromatin accessibility, and FLARE to identify disease variants with extreme effects. www.nature.com/articles/s41...
nature.com
Decoding common and rare noncoding variant effects across cellular and developmental contexts - Nature Genetics
This study contributes a resource of predicted effects of noncoding variants on chromatin accessibility and a method to identify noncoding variants with extreme regulatory effects, with application to...
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Peter Koo @pkoo562.bsky.social · 09/10/2025
Which mutations rewire function of regulatory DNA? Excited to share SEAM: Systematic Explanation of Attribtuion-based Mechanisms. SEAM is an explainable AI method that dissects cis-regulatory mechanisms learned by seq2fun genomic deep learning models. Led by @EESetiz 1/N 🧵👇
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Kushal K. Dey @kanishkadey.bsky.social · 25/09/2025
Introducing Spacelink, a unified framework for identifying and prioritizing spatially variable gene programs at tissue and cell type resolution and linking them to disease GWAS studies. Led by Hanbyul Lee & Haochen Sun www.biorxiv.org/content/10.1...
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Daniel Medina-Cano @danielmedinacano.bsky.social · 27/08/2025
I'm really happy to announce that my two main postdoctoral works have been published in the same issue of Developmental Cell! First, the final form of the mouse cortical organoid protocol (tinyurl.com/bddfmx8n), which I recently presented at Development presents (tinyurl.com/36udcpme) and…
tinyurl.com
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Michael Love @mikelove.bsky.social · 18/08/2025
Excited to share this preprint from first author Jon Rosen, a postdoctoral fellow in the @klmohlke.bsky.social lab and my lab. We examine eQTL study sample size and how this affects signal discovery and rates of colocalization with GWAS. www.biorxiv.org/content/10.1...
biorxiv.org
Higher eQTL power reveals signals that boost GWAS colocalization
Expression quantitative trait locus (eQTL) studies in human cohorts typically detect at least one regulatory signal per gene, and have been proposed as a way to explain mechanisms of genetic liability...
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Thomas Norman @normanlab.bsky.social · 06/08/2025
Our paper is now out in final form at Nature Genetics! For those who missed the preprint, we used large-scale Perturb-seq targeting transcription factors to push primary fibroblasts into diverse transcriptional states, including those observed in cell atlas studies.
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Caleb Lareau @caleblareau.bsky.social · 22/07/2025
Excited to share a new preprint from the lab with @ryandhindsa.bsky.social ! www.biorxiv.org/content/10.1... Led by @sherrynyeo.bsky.social, @erinmayc.bsky.social, and friends, we continue our journey to find viral DNA in our favorite place-- the overlooked and discarded reads in existing data! 1/
the treasure trove of all sequencing datasets
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jakobheinz.bsky.social @jakobheinz.bsky.social · 21/07/2025
Excited to share our new preprint on detecting foldback artifacts in long reads with my advisors Matthew Meyerson and @lh3lh3.bsky.social ! Stop by poster C-180 on Wednesday at ISMB/ECCB2025 to learn more and chat!
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Peter Koo @pkoo562.bsky.social · 16/07/2025
Our work on "Evaluating the representational power of pre-trained DNA language models for regulatory genomics" led by @AmberZqt with help from @NiraliSomia & @stevenyuyy is finally published in Genome Biology! Check it out! genomebiology.biomedcentral.com/articles/10....
genomebiology.biomedcentral.com
Evaluating the representational power of pre-trained DNA language models for regulatory genomics - Genome Biology
Background The emergence of genomic language models (gLMs) offers an unsupervised approach to learning a wide diversity of cis-regulatory patterns in the non-coding genome without requiring labels of ...
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taykhoomdalal.bsky.social @taykhoomdalal.bsky.social · 15/07/2025
We are excited to introduce mRNABench, a comprehensive benchmarking suite that we used to evaluate the representational capabilities of 18 families of nucleotide foundation models on mature mRNA specific tasks. Paper: doi.org/10.1101/2025... Code: github.com/morrislab/mR... A 🧵
doi.org
mRNABench: A curated benchmark for mature mRNA property and function prediction
Messenger RNA (mRNA) is central in gene expression, and its half-life, localization, and translation efficiency drive phenotypic diversity in eukaryotic cells. While supervised learning has widely bee...
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Michael Love @mikelove.bsky.social · 13/07/2025
I recently ran a session at CSAMA with Laurent Gatto and this is the way. "Good enough" with knowledge of the tools that can help you get there. Here's some of the recs from the paper.
Recs from the linked paper
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Luca Giorgetti lab @FMI @lucagiorgetti.bsky.social · 29/03/2025
Celebrating 10 years of our lab with a new preprint: www.biorxiv.org/content/10.1... How does enhancer location within a TAD control transcriptional bursts from a cognate promoter? Experiments by Jana Tünnermann and modelling by Gregory Roth
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Yogesh Goyal @goyallab.bsky.social · 06/07/2025
Excited to share our latest by my postdoc Ben KS: we use statistical physics & Bayesian inference to model genome-wide perturbation outcomes. Remarkably, perturbation responses are encoded in gene "chatter" even before the perturbation–a fundamental insight with broad implications shorturl.at/2LHbw
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Jop Kind @jopkind.bsky.social · 10/07/2025
I am very excited to share our latest work where we describe a new method to profile genome-wide chromatin transitions over time in single cells. Great collaborative effort with the van Oudenaarden group @hubrechtinstitute.bsky.social @oncodeinstitute.bsky.social www.nature.com/articles/s41....
nature.com
Retrospective and multifactorial single-cell profiling reveals sequential chromatin reorganization during X inactivation - Nature Cell Biology
Kefalopoulou, Rullens et al. develop Dam&ChIC to assay chromatin state at two different time points in the same cell. The method was used to study the reorganization of LADs during cell division a...
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The American Journal of Human Genetics @ajhgnews.bsky.social · 10/07/2025
📣New today! 📄Haplotype analysis reveals pleiotropic disease associations in the HLA region 🧑‍🤝‍🧑 @jkpritch.bsky.social @finngen.bsky.social & colleagues
cell.com
Haplotype analysis reveals pleiotropic disease associations in the HLA region
The HLA region plays an important role in human health but is often excluded in large-scale GWASs. We performed haplotype-based associations from genotype data to investigate pleiotropy across thousan...
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Camp Lab @graycamplab.bsky.social · 11/07/2025
Neuron programming! Pro-neural TFs + 480 morphogen conditions + scRNA-seq --> Diverse iN subtypes of forebrain, midbrain, hindbrain, spinal cord, and PNS. @hsiuchuanlin.bsky.social‬ @jasperjanssens.bsky.social‬ and Treutlein Lab! @science.org www.science.org/doi/10.1126/... #NGN2 #ASCL1
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Juliane Glaser @julianeg.bsky.social · 09/07/2025
Finally out! 🥳 Our paper showing how a transposable element (TE) insertion can cause developmental phenotypes is now published @natgenet.nature.com 🧬🦠🐁 Below is a brief description of the major findings. Check the full version of the paper for more details: www.nature.com/articles/s41588-025-02248-5
nature.com
Enhancer adoption by an LTR retrotransposon generates viral-like particles, causing developmental limb phenotypes - Nature Genetics
Activation of an LTR retrotransposon inserted upstream of the Fgf8 gene produces viral-like particles in the mouse developing limb, triggering apoptosis and causing limb malformation. This phenotype c...
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Bradley Harris @bradleyomics.bsky.social · 08/07/2025
Delighted to share the first preprint of my postdoc in the @carlanderson.bsky.social lab www.medrxiv.org/content/10.1...! 🚨 A super exciting study I co-led with the very talented @tobioinformatics.bsky.social . Stay tuned to see what we learned about genetic susceptibility to complex disease. 🧬🧵 1/
medrxiv.org
Cell-type-resolved genetic regulatory variation shapes inflammatory bowel disease risk
Most genetic variants associated with complex diseases lie in non-coding regions, complicating efforts to identify effector genes and relevant cell types. Here, we map cis-eQTLs across 2.2 million sin...
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Tobi Alegbe @tobioinformatics.bsky.social · 08/07/2025
🚨New preprint just dropped 🚨 medrxiv.org/content/10.1101/2025.06.24.25330216 The main output from my PhD is finally public and we’re SUPER excited about the findings! If you’re interested in what we learnt about IBD with a massive 700+ sample sc-eQTL dataset of the gut, read on!
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Christine Mayr @christinemayr.bsky.social · 07/07/2025
New paper: More than 2700 human 3′UTRs are highly conserved. These 3′UTRs are essential components in mRNA templates, as their deletion decreases protein activity without changing protein abundance. Highly conserved 3′UTRs help the folding of proteins with long IDRs. www.biorxiv.org/content/10.1...
biorxiv.org
mRNA 3′UTRs chaperone intrinsically disordered regions to control protein activity
More than 2,700 human mRNA 3′UTRs have hundreds of highly conserved (HC) nucleotides, but their biological roles are unclear. Here, we show that mRNAs with HC 3′UTRs mostly encode proteins with long intrinsically disordered regions (IDRs), including MYC, UTX, and JMJD3. These proteins are only fully active when translated from mRNA templates that include their 3′UTRs, raising the possibility of functional interactions between 3′UTRs and IDRs. Rather than affecting protein abundance or localization, we find that HC 3′UTRs control transcriptional or histone demethylase activity through co-translationally determined protein oligomerization states that are kinetically stable. 3′UTR-dependent changes in protein folding require mRNA-IDR interactions, suggesting that mRNAs act as IDR chaperones. These mRNAs are multivalent, a biophysical RNA feature that enables their translation in network-like condensates, which provide favorable folding environments for proteins with long IDRs. These data indicate that the coding sequence is insufficient for the biogenesis of biologically active conformations of IDR-containing proteins and that RNA can catalyze protein folding. ### Competing Interest Statement The authors have declared no competing interest. Pershing Square Foundation, https://ror.org/04tce9s05 G. Harold & Leila Y. Mathers Foundation National Institutes of Health, DP1GM123454, R35GM144046 Memorial Sloan Kettering Cancer Center, https://ror.org/02yrq0923, P30 CA008748
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David A Knowles @davidaknowles.bsky.social · 03/07/2025
New work from the lab trying to wrap our heads around the massive complexity of the human transcriptome revealed by long-read RNA-seq! Fun collab with Gloria Sheynkman. www.biorxiv.org/content/10.1...
biorxiv.org
Perplexity as a Metric for Isoform Diversity in the Human Transcriptome
Long-read sequencing (LRS) has revealed a far greater diversity of RNA isoforms than earlier technologies, increasing the critical need to determine which, and how many, isoforms per gene are biologic...
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Sean Bresnahan @seantbres.bsky.social · 02/07/2025
🧬🚨PREPRINT🚨- The first placental isoform reference from long-read seq & supporting data! We demonstrate how tissue-specific assembly improves transcript quantification with short-read data from multi-ancestry birth studies & reveals placenta-mediated effects of gestational diabetes on birth weight🫄
doi.org
Long-read transcriptome assembly reveals vast isoform diversity in the placenta associated with metabolic and endocrine function
The placenta plays a critical role in fetal development and mediates maternal metabolic effects on offspring health outcomes. Despite its importance, the placenta remains understudied in large-scale g...
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Anshul Kundaje @anshulkundaje.bsky.social · 25/06/2025
This a really exciting leap forward for genomic sequence to activity gene regulation models. It is a genuine improvement over pretty much all SOTA models spanning a wide range of regulatory, transcriptional and post-transcriptional processes. 1/
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Evgeny Kvon @evgenykvon.bsky.social · 23/06/2025
How do non-coding variants in enhancers lead to disease? Happy to share our recent work, led by @ewholling.bsky.social, in which we discovered that poised chromatin sensitizes enhancers to aberrant activation by non-coding mutations, contributing to disease. www.biorxiv.org/content/10.1... 1/
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Axel Visel @axelvisel.bsky.social · 18/06/2025
Textbooks: “Enhancers are just a bunch of TFBSs” But how do they REALLY work? New paper with many contributors here @berkeleylab.lbl.gov, @anshulkundaje.bsky.social, @anusri.bsky.social A 🧵 (1/n) Free access link: rdcu.be/erD22
A meme-style comic panel with three parts. Left: A stylized enhancer with a mutation, surrounded by colored blocks representing functional motifs, a neural network diagram, chromatin accessibility signal traces, and a sequence motif. Two cartoon mouse embryos below show different LacZ reporter activity patterns. Top right: A hand hovers anxiously between two red buttons labeled “Experiments” and “AI,” with the caption “HOW DO ENHANCERS REALLY WORK?” Bottom right: A sweating superhero wipes his forehead, looking stressed about the difficult choice.
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Danwei Huangfu @danweihuangfu.bsky.social · 03/06/2025
Discovery of NANOG enhancers and their essential roles in self-renewal and differentiation in human embryonic stem cells: Stem Cell Reports www.cell.com/stem-cell-re... ‪
cell.com
Discovery of NANOG enhancers and their essential roles in self-renewal and differentiation in human embryonic stem cells
Huangfu and colleagues identified two NANOG enhancers from a CRISPR interference (CRISPRi) screen in hESCs. Heterozygous deletions of either enhancer significantly lowered NANOG expression, reduced hE...
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Peter Koo @pkoo562.bsky.social · 23/05/2025
Excited to share an update to D3 (DNA Discrete Diffusion) — an application of score-entropy discrete diffusion model for regulatory genomics! 🧬 Paper: biorxiv.org/content/10.110… (See thread below 👇) (1/n)
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Manu Saraswat @manusaraswat.bsky.social · 16/05/2025
🧠 Excited to share my main PhD project! We mapped the regulatory rules governing Glioblastoma plasticity using single-cell multi-omics and deep learning. This work is part of a two-paper series with @bayraktarlab.bsky.social @oliverstegle.bsky.social and @moritzmall.bsky.social, Preprint at end🧵👇
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Debby Silver @debbysilver.bsky.social · 14/05/2025
Thrilled to share our latest study out in @natureportfolio.nature.com led by the fantastically talented Jing Liu. Our study provides insight into a long standing question in biology: What molecular features make us uniquely human and how do these function? www.nature.com/articles/s41...
nature.com
A human-specific enhancer fine-tunes radial glia potency and corticogenesis - Nature
HARE5, a human accelerated region enhancer, modulates cortical development by influencing neural progenitor cell behaviour, leading to an enlarged neocortex with increased functional independence betw...
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Alejandra Medina-Rivera @alemedinarivera.bsky.social · 13/05/2025
Our New perspective explores breakthroughs & challenges in regulatory & systems genomics: from cis-regulatory code & 3D chromatin to spatial omics & AI models. 🔗 doi.org/10.1093/bioa... #Genomics #Bioinformatics #RegulatoryGenomics
doi.org
Perspective on recent developments and challenges in regulatory and systems genomics
Abstract. Predicting how genetic variation affects phenotypic outcomes at the organismal, cellular, and molecular levels requires deciphering the cis-regul
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Tommy Vierbuchen @tvierbuchen.bsky.social · 13/05/2025
Excited to share our latest manuscript, a collaboration with @justinperryphd.bsky.social led by Weill Cornell Neuroscience PhD student @annbaako.bsky.social. Ann developed a new, improved mouse PSC model for studying tissue-resident macrophage differentiation. www.biorxiv.org/content/10.1...
biorxiv.org
Modeling tissue-resident macrophage development from mouse pluripotent stem cells
Tissue-resident macrophages (TRMs) are innate immune cells that participate in tissue development, homeostasis, and immune surveillance. Extensive efforts have been made to recapitulate TRM developmen...
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Erik van Nimwegen @erikvannimwegen.bsky.social · 09/05/2025
Here it is! Bonsai. Now there is really no more excuse for using t-SNE/UMAP. Bonsai not only makes cool pictures of your data. It actually rigorously preserves its structure. No tunable parameters. Incredible work by @dhdegroot.bsky.social. I'm so excited about this! www.biorxiv.org/content/10.1...
biorxiv.org
Bonsai: Tree representations for distortion-free visualization and exploratory analysis of single-cell omics data
Single-cell omics methods promise to revolutionize our understanding of gene regulatory processes during cell differentiation, but analysis of such data continues to pose a major challenge. Apart from...
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Konrad Chudzik @konrad-chudzik.bsky.social · 08/05/2025
🚨 Preprint 🚨 Ever wondered how cells prepare their genomes to enable new cell-fates? In this team up with the Kind lab, we show that genes are repositioned in the nucleus to get ready for future activation and tissue formation. Read 🧵👇 to find out how and when this happens! doi.org/10.1101/2025...
biorxiv.org
Reconfiguration of genome-lamina interactions marks the commissioning of limb cell-fates
Diverse forms of heterochromatin block inappropriate transcription and safeguard differentiation and cell identity. Yet, how and when heterochromatin is reconfigured to facilitate changes in cell-fate...
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Nadav Ahituv @nadavahituv.bsky.social · 09/05/2025
Massively parallel jumping assay (MPJA) enables to test the jumping potential of thousands of transposons. Analysis of >160,000 Alu haplotypes identified transposition-asssociated domains. Amazing work by Navneet Matharu, Jingjing Zhao, Martin Kircher and many others. www.nature.com/articles/s41...
nature.com
Massively parallel jumping assay decodes Alu retrotransposition activity - Nature Communications
Here, the authors develop a high-throughput assay to measure the jumping potential of thousands of transposons in parallel.
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Tuuli Lappalainen @tuuliel.bsky.social · 06/05/2025
Our new contribution to the quest to find causal GWAS genes! Sam Ghatan from my lab at @nygenome.org led a systematic comparison of eQTLs and CRISPRi+scRNA-seq screens. TL;DR: they provide highly complementary insights, with ortogonal pros and cons. 🧵👇 www.biorxiv.org/content/10.1...
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Mingyuan "Merlin" Li @supmerlin.bsky.social · 05/05/2025
1/n 🚨Very excited to share our recent work!🚨 To understand gene regulation across diverse environmental conditions and cellular contexts, we treated a broad array of human cell types with three environmental exposures in vitro. www.biorxiv.org/content/10.1...
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bioRxiv Developmental Biology @biorxiv-devbio.bsky.social · 05/05/2025
Modeling tissue-resident macrophage development from mouse pluripotent stem cells www.biorxiv.org/content/10.1101/202…
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Selin Jessa @selinjessa.com · 03/05/2025
Delighted to share our latest work deciphering the landscape of chromatin accessibility and modeling the DNA sequence syntax rules underlying gene regulation during human fetal development! www.biorxiv.org/content/10.1... Read on for more: 🧵 1/16 #GeneReg 🧬🖥️
biorxiv.org
Dissecting regulatory syntax in human development with scalable multiomics and deep learning
Transcription factors (TFs) establish cell identity during development by binding regulatory DNA in a sequence-specific manner, often promoting local chromatin accessibility, and regulating gene expre...
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Anshul Kundaje @anshulkundaje.bsky.social · 04/05/2025
Check out this great resource of single cell multiome data, cell annotations, regulatory DNA models of cell type resolved chromatin accessibility & comprehensive annotation of motifs & sequence syntax for multiple tissues in early human development 1/
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Jacob Schreiber @jmschreiber91.bsky.social · 24/04/2025
Our preprint on designing and editing cis-regulatory elements using Ledidi is out! Ledidi turns *any* ML model (or set of models) into a designer of edits to DNA sequences that induce desired characteristics. Preprint: www.biorxiv.org/content/10.1... GitHub: github.com/jmschrei/led...
biorxiv.org
Programmatic design and editing of cis-regulatory elements
The development of modern genome editing tools has enabled researchers to make such edits with high precision but has left unsolved the problem of designing these edits. As a solution, we propose Ledi...
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Niklas Kempynck @niklaskemp.bsky.social · 03/04/2025
We released our preprint on the CREsted package. CREsted allows for complete modeling of cell type-specific enhancer codes from scATAC-seq data. We demonstrate CREsted’s robust functionality in various species and tissues, and in vivo validate our findings: www.biorxiv.org/content/10.1...
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David Kelley @drkbio.bsky.social · 17/04/2025
Regulatory sequence ML has been widely applied to predict substitution SNP effects (to promising results!), but most teams have shied away from indels. www.biorxiv.org/content/10.1...
biorxiv.org
Shift augmentation improves DNA convolutional neural network indel effect predictions
Determining genetic variant effects on molecular phenotypes like gene expression is a task of paramount importance to medical genetics. DNA convolutional neural networks (CNNs) attain state-of-the-art...
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Tommy Vierbuchen @tvierbuchen.bsky.social · 13/03/2025
Our collaborative project with Matthias Stadtfeld and Jason Mezey labs has now been published. We examined how genetic variation impacts regulation of DNA methylation at the control regions of imprinted genes in naive pluripotent stem cells. www.cell.com/stem-cell-re...
cell.com
Genetic variation modulates susceptibility to aberrant DNA hypomethylation and imprint deregulation in naive pluripotent stem cells
Pluripotent stem cells are susceptible to acquiring detrimental epigenetic abnormalities, posing a hurdle to their safe use in biomedical applications. Using pluripotent cells with defined genetic backgrounds, Stadtfeld and colleagues show that genetic variation is a major driver of epigenome stability and identify candidate regulators. These findings will enable novel approaches to stabilize the epigenome of pluripotent cells in culture.
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Andrew Marderstein @amarderstein.bsky.social · 19/02/2025
New preprint w/ @soumyakundu.bsky.social @sbmontgom.bsky.social @anshulkundaje.bsky.social ! Using deep learning & scATAC-seq, we studied context-specific variants in disease & evolution, and introduce FLARE for de novo mutations—w/ application to autism-affected families. doi.org/10.1101/2025...
biorxiv.org
Mapping the regulatory effects of common and rare non-coding variants across cellular and developmental contexts in the brain and heart
Whole genome sequencing has identified over a billion non-coding variants in humans, while GWAS has revealed the non-coding genome as a significant contributor to disease. However, prioritizing causal...
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Graham McVicker @grahammcvicker.bsky.social · 11/02/2025
Excited to announce our preprint describing SUPERB-SEQ 🦸, a new method to measure Cas9 edits and their effects on gene expression in single cells. Led by @micklorenzini.bsky.social and @bradbalderson.bsky.social www.biorxiv.org/content/10.1...
biorxiv.org
Joint single-cell profiling of CRISPR-Cas9 edits and transcriptomes reveals widespread off-target events and their effects on gene expression
A longstanding barrier in genome engineering with CRISPR-Cas9 has been the inability to measure Cas9 edit outcomes and their functional effects at single-cell resolution. Here we present Superb-seq , ...
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Molly Przeworski @mollyprz.bsky.social · 02/02/2025
“The distribution of highly deleterious variants across human ancestry groups”. Preprint with Anastasia Stolyarova and @gcbias.bsky.social: www.biorxiv.org/content/10.1...
biorxiv.org
The distribution of highly deleterious variants across human ancestry groups
A major focus of human genetics is to map severe disease mutations. Increasingly that goal is understood as requiring huge numbers of people to be sequenced from every broadly-defined genetic ancestry...
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Sudarshan Pinglay @sudpinglay.bsky.social · 31/01/2025
Now out in @science.org w/ @jshendure.bsky.social we present 'Genome-shuffle-seq': a method to shuffle mammalian genomes and characterize the impact of structural variants (SVs) with single-cell resolution in one experiment. www.science.org/doi/10.1126/...
science.org
Multiplex generation and single-cell analysis of structural variants in mammalian genomes
Studying the functional consequences of structural variants (SVs) in mammalian genomes is challenging because (i) SVs arise much less commonly than single-nucleotide variants or small indels and (ii) ...
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Leopold Parts @leopoldparts.bsky.social · 31/01/2025
We're delighted to share our work on scrambling the human genome using prime editing, repetitive elements, and recombinases in @science.org , led by @jonaskoeppel.bsky.social , @f-raphael.bsky.social , with @proftomellis.bsky.social and George Church. www.science.org/doi/10.1126/...
science.org
Randomizing the human genome by engineering recombination between repeat elements
We lack tools to edit DNA sequences at scales necessary to study 99% of the human genome that is noncoding. To address this gap, we applied CRISPR prime editing to insert recombination handles into re...
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