Jacob Corn
@jcornlab
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Genome editing, functional genomics, and cells figuring out how to eat themselves without dying. Professor of Genome Biology at ETH Zürich.
Zurich, Switzerland
Joined February 2014
In 2026 I'm taking a sabbatical in @PeterFineran's lab @otago. I'm looking forward to learning a lot from Peter's lab and am excited to get back to my prokaryotic/viral roots! Also planning to make some trips to the rest of the Pacific and Asia. So much to look forward to!
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This was a great collaboration with the lab of Virginijus Siksnys!
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Sometimes #Cas9 is too dang big. But mini Cas proteins are bad at both NHEJ & HDR. PhD student Fedor Gorbenko used mammalian cell evolution for *HDR* to make REALLY super #Cas12f1 and #TnpB. As good as or better than Cas9! Base editors included!
biorxiv.org
RNA-guided nucleases enable DNA editing and offer promise for treating genetic diseases, particularly when used for precise sequence replacement. However, many of the most effective enzymes, such as...
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This was an incredible collaboration with the labs of @randall_platt @schwanklab @SPJacksonGroup Helmuth Gehart, and Timm Schroeder. Special thanks also to the NOMIS Foundation who supported some of the very ambitious experiments.
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Ready, Set, Rumble! The wait is over – Sonic Rumble is live worldwide on iOS, Android, and Steam 🌍 Join Sonic in the ultimate arcade royale where up to 32 players battle for glory!
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There's some crazy stuff in this preprint. For example, did you know that some neuronal subsets actually do HDR with surprising efficiency?
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Ever noticed that #CRISPR editing results differ between cells? Awesome PhD student @MSchlapansky developed "scOUT-seq" to measure single cell transcriptomes + editing. 1.2 million cells, 74 cell types, living 🐭. Cell subtypes differ wildly from bulk!
biorxiv.org
Genome editing outcomes are governed by DNA repair pathways that vary with cell type and state. We developed scOUT-seq (single-cell Outcomes Using Transcript sequencing), a scalable approach that...
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Now out in @NatureComms, https://t.co/cbaG2iFzJJ. Spearheaded by @jordancjwilson with Marciniak Lab @TheCIMR, @villunger, @ERC_Research partners @jcornlab & @LoizouJoanna & colleagues @BiffiGiulia @CRUK_CI, this work sheds light on WEE1 inhibitors and their therapeutic use.
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For too long, the swamp controlled America’s future. That's finally changing, but they're fighting back. Be part of the team taking on the corrupt deep state.
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Long time no see, everyone! Things have been a bit more busy than ususal, hence the radio silence. But stay tuned for some fun news in the next few days.
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Excited to share our preprint, work spearheaded by PhD student @jordancjwilson with Marciniak Lab @TheCIMR, @villunger & our @ERC_Research partners @jcornlab & @LoizouJoanna. This sheds light on the action of WEE1 inhibitors and their therapeutic use,
biorxiv.org
Inhibitors of the protein kinase WEE1 have emerged as promising agents for cancer therapy. In this study, we uncover synergistic interactions between WEE1 small- molecule inhibitors and defects in...
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Do you want to know about the invisible secrets of #HDR during #CRISPR genome editing? Check out our preprint at https://t.co/4G24iDM27F. New methods, crazy biology, and theft from the genome! From PhD student Charles Yeh
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@FedeTeloni @AlbertoMarinG1 @Gerlich_Lab And to read more about how loop-extruding cohesin drives the homology search during HR, check out also this new preprint from @AlbertoMarinG1 in the @taekjip lab ( https://t.co/eisCVPbqiC).
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As the tools of hackers become more sophisticated, the technical defenses against cyber-attacks we are all used to are increasingly insufficient. Take it from the Head of IDI's Democracy in the Digital Age Program—an expert in cyber security policy—Dr. Tehilla Shwartz Altshuler,
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@FedeTeloni @AlbertoMarinG1 Curious about how cohesin guides invisible homology search via loops & sister chromatid linkages? Check out this new preprint by @FedeTeloni & @Gerlich_Lab! 👉
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@FedeTeloni @AlbertoMarinG1 This project was driven by amazing graduate student Charles Yeh, with lots of amazing collaborators over the years.
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@FedeTeloni @AlbertoMarinG1 Altogether, proximity is key and search normally stays around the DSB. When it comes choosing a donor, only these sequences are candidates.
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@FedeTeloni @AlbertoMarinG1 During genome editing, exogenous donor DNAs soak up homology search during HDR. Even if they have no sequence relationship to the cut site at all. They actually steal search from the genome!
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@FedeTeloni @AlbertoMarinG1 Only 3D-nearby those sequences that are searched (i.e., candidates) are chosen as HDR donors! Donors too far away are never seen and never used.
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Search is constrained by chromatin conformation. Check out the related preprints from @FedeTeloni and @AlbertoMarinG1 for a much deeper dive (see later in thread)
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We call this "RaPID-seq". It unveils a new dimension of DNA repair, telling us what is searched during HDR. In other words, what are the candidates?
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Very excited to highlight @jcornlab's beautiful work on the E3 ligase SCF-FBXO31, which recognizes chemically damaged proteins. Mutations in FBXO31 cause disease by substrate-rewiring, really cool. Congratulations to all authors! https://t.co/RrmDlym7V6
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