Jonas Koeppel

Jonas Koeppel

@jonaskoeppel.bsky.social

Postdoc in the Shendure & Pinglay labs @UW Trying to understand and engineer our wonderfully weird genomes 🧬

252 followers295 following27 posts

Jonas Koeppel reposted

Jonas Koeppel reposted

How much of the human genome is essential? Two pieces out today from our lab: 1) a method to map essential genomic intervals at gigabase scale, and 2) an argument that it's time to consider synthesizing a minimal human genome. biorxiv.org/content/10.6... nature.com/articles/d41...

nature.comWhy a synthetic human genome is still worth buildingA decade on from the launch of an ambitious project, it’s time to revisit the reasons for constructing a human genome from scratch.
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20/n Of course, viability in one near-haploid cell line is a narrow definition of essentiality. The exciting next step is to apply Shred-seq across diverse cell types, including pluripotent stem cells and differentiation systems

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17/n. We envision that large data sets matching tens of thousands of deletions to viability and expression changes will be ideal to train/benchmark the next generation of genomic AI models, which are currently bottlenecked by the paucity, relatedness, and bias of natural genomes

18/n Overall, we think Shred-seq opens the door to genome-wide deletion scanning at high resolution. Once we can empirically define which sequences are required for survival in defined contexts, we can design minimal human genomes

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15/n Making this work required several tweaks. For example, in situ T7 transcripts are not naturally polyadenylated, so we adapted the workflow to polyadenylate T7-derived transcripts and capture them alongside endogenous mRNAs. Details are in the manuscript

16/n It worked! For example, we recovered an allelic deletion series where some deletions overlap RBM3 while others spare it. In single-cell transcriptomes, only the RBM3-overlapping deletions reduced RBM3 expression, giving a clean genotype-phenotype link

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13/n Coming back to the original question: How much of the human genome is dispensable for the growth of a haploid cell line? Somewhere between 50-96%! Running Shred-seq at higher coverage should further narrow that empirical bound

14/n A major advantage of phage-promoter genotyping is that the genotype is transcribed into RNA. That means Shred-seq should, in principle, be compatible with single-cell RNA-seq, linking specific deletions to transcriptomes in the same cells

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11/n Beyond global trends, deletion scans allow us to look at locus-specific essentiality. If unselected deletions follow a baseline length distribution, then post-selection distortions of that distribution can reveal regions under constraint without relying on prior annotations

12/n For example, surviving deletions at this locus are depleted of deletions that intersect WDR3, an essential gene. Generally, Shred-seq lets us identify constrained loci by looking for places where the surviving deletion profile deviates from the expected Cas3 distribution

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10/n Is this all just avoidance of essential coding genes? Not entirely. Even when we restricted the analysis to non-coding deletions, surviving deletions were depleted from active chromatin and enriched in inactive chromatin features

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7/n After lots of optimizations, we managed to make this really high throughput (gigabase-scale): We induced > 36k deletions between 100bp-500 kb that sum up to 2.55 Gb, and scanned ~14% of the human genome

8/n Because we generate the deletions experimentally, we can compare variants shortly after editing, before strong selection, to variants that survive weeks of growth in culture. This gives a direct way to quantify purifying selection on deletions in coding and non-coding regions

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6/n With all the components in place, here is how Shred-seq works: We randomly integrate deletion launch sites ‘beacons’ into the genome, target Cas3 to them, make deletions, and read out the variants using phage promoters on the beacon

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3/n But not just any deletions. Ideally, we wanted deletion scans: many overlapping deletions of different lengths starting from defined sites. Such an allelic series should make it possible to identify where essential genomic regions begin and end with high resolution

4/n There is a CRISPR system that does exactly that! CRISPR-Cas3 can be targeted to any DNA sequence using a crRNA. Once there, it starts chewing up DNA, leaving large deletions in its wake! Fantastic pioneering work by the Yan Zhang lab

2/n For two decades, genome-wide screens in human cells overwhelmingly confined themselves to the disruption of protein-coding genes, leaving the remaining non-coding 98% of the genome largely unexplored by direct perturbation

Jonas Koeppel reposted

New 🧬✂️ pre-print! We show that paired prime editing can efficiently generate large deletions — even >1 Mb — with high precision and at scale. We use this to perform the first pooled prime deletion screen across the human genome. 🔗 biorxiv.org/content/10.1... A short thread (by Juliane Weller)👇

biorxiv.orgGenerating long deletions across the genome with pooled paired prime editing screensEngineered deletions are a powerful probe for studying genome architecture, function, and regulation. Yet, the lack of effective methods to create them in large numbers and at multi-kilobase scale has...

Jonas Koeppel reposted

Jonas Koeppel reposted

Jonas Koeppel reposted

Leopold Parts@leopoldparts.bsky.social

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/...

Jonas Koeppel reposted

Jonas Koeppel reposted

Jonas Koeppel reposted

Jonas Koeppel reposted

Excited to share my latest preprint on establishing a generalizable toolkit for decoding the gene regulatory landscape using two types of CRISPR screens. Big thanks to my amazing mentor @nevillesanjana.bsky.social for the in-depth thread below. Looking forward to feedback and comments!

Neville Sanjana@nevillesanjana.bsky.social

🎇🎄Some holiday reading: Overdue TWEETORIAL on the latest preprint from our lab 🎇🎄 In this work, superstar postdoc @xinhexue.bsky.social combined 2 kinds of pooled CRISPR screens to pinpoint noncoding regulatory elements and the transcription factors that activate these elements.

Jonas Koeppel reposted

Structural variants are ripe for interrogation using genome engineering. Jonas Koeppel Juliane Weller Thomas Vanderstichele (Wellcome Sanger Institute) and I review technology progress, insights gained to date, and challenges and promise for the road ahead. www.nature.com/articles/s41588-024-01981-7

nature.comEngineering structural variants to interrogate genome function - Nature GeneticsStructural variations (SVs) impact gene expression, genome stability and disease susceptibility. This Review discusses recent advances in genome-engineering tools that enable precise SV generation and...

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