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Our TnpB story has been published in @naturemethods 🚀 Check out the thread by @schwanklab to dive right in.
Excited to share our latest study!
Today in @naturemethods the @schwanklab and @krauthammerlab report in @marquark et al. 'Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs' (1/6)
nature.com/articles/s41592-0…
This has been a fun collab! While current genome editing tools struggle to precisely insert/delete/invert large DNA fragments, programmable RNA-guided recombinases are changing the game. Check out the paper in @ScienceMagazine via Oana’s post below
Happy to share that my postdoctoral work is now out in @ScienceMagazine. We show that the RNA-programmable bridge recombinase ISCro4 can insert, delete, or invert multi-kilobase DNA fragments at defined genomic sites in human cells.
Study link: science.org/doi/10.1126/scie…
CRISPR-Cas has transformed genome editing, but many diseases involve diverse patient-specific mutations within the same gene. A mutation-agnostic alternative is to insert a healthy gene copy at a defined genomic locus, but gene-sized, site-specific insertions remain a major challenge.
Main findings of our work:
(1) ISCro4 is highly active in human cells and can be delivered by plasmid or all-RNA formats
(2) Proof-of-concept programmable multi-kb insertions, deletions, and inversions
(3) Structural insights into the basis of enhanced ISCro4 activity
(4) Specificity and off-target characterisation
(5) A framework to support future development and adoption of bridge recombinases
The work was made possible through a close collaboration between the Jinek Lab, @schwanklab, and @jcornlab. I am deeply grateful to all of my co-authors for the team spirit, hard work, and dedication that went into this publication: @talasandris, Javier Fernández Carrera, @nicopmat, Lilly van de Venn, Charles Yeh, @p_kulcsar, @marquark, @YanikWeber, @SaskiaGerecke, Isabelle Harvey-Seutcheu, Dominic Mailänder, @MorPfl, and @ChrisChanez89. Special thanks to my supervisor, Prof. Martin Jinek, for his outstanding mentorship, and to Prof. Gerald Schwank and Prof. Jacob Corn for their generous support throughout. Finally, I would like to thank everyone in the Jinek lab for creating a supportive work environment, and @EMBO for funding my postdoctoral work.
In parallel, independent work led by @ntperry13, @SKonermann and @pdhsu also reported ISCro4 activity in human cells, reinforcing the robustness and momentum of this direction.
Please reach out if you would like to test the system or discuss potential applications. Relevant plasmids are now available via @Addgene.
Great review on AI x CRISPR.
🚀 AI meets CRISPR: a new era of genome editing is here.
We’re excited to announce the publication of our review, “Harnessing artificial intelligence to advance CRISPR-based genome editing technologies” in @NatureRevGenet !
In this work, we and many thought-leaders explore how AI-driven methods—from deep learning to language models—are powering the next generation of genome editing: optimizing guide RNAs, engineering novel enzymes, and ultimately accelerating therapeutics and functional biology.
🔬 Highlights:
--AI-powered design and prediction tools for CRISPR/Cas systems (nuclease, base, prime editing)
---Virtual cell/organ models to guide target selection and outcome prediction
---Roadmap for integrating AI into editing pipelines—from tool discovery to clinical translation
📘 Full paper → nature.com/articles/s41576-0…
Proud to contribute to this intersection of computational biology, machine learning, and gene therapy — the future of precision medicine is being built today.
Shoutout to all the co-authors for their valuable contributions! Particularly my friend and colleague @BowenLi_Lab for his leadership!
@UHN @UofT
Making DNA edits is tough. CRISPR prime editing is powerful, but often needs dozens of designs to find the best. Our new Nature Protocols paper guides you with ML tools from sequence to ready-to-use vectors. Check the original post by first author @nicopmat for the links.
Excited to share our new protocol in #NatureProtocols! 🧬👨💻🎉
A comprehensive guide for using PRIDICT2.0 and ePRIDICT machine learning tools to design efficient #CRISPR-Cas9 prime editing experiments. 🧵
@UZH_Science @schwanklab @krauthammerlab
nature.com/articles/s41596-0…
👏
Our paper describing an RNA-LNP prime editing strategy for treating phenylketonuria was published today in @natBME (1/7)
nature.com/articles/s41551-0…
@schwanklab @UZH_Science @UZH_en @KispiZuerich @ETH_en
Kim Fabiano Marquart retweeted
And read the Research Briefing on the work here:
nature.com/articles/s41592-0…
.@schwanklab and colleagues describe TnpB variants with increased activity and a broader targeting range, along with a deep learning model to predict ωRNA efficiency. @marquark @nicopmat @Amina_mollaysa @krauthammerlab
nature.com/articles/s41592-0…
Kim Fabiano Marquart retweeted
.@schwanklab and colleagues describe TnpB variants with increased activity and a broader targeting range, along with a deep learning model to predict ωRNA efficiency. @marquark @nicopmat @Amina_mollaysa @krauthammerlab
nature.com/articles/s41592-0…
Kim Fabiano Marquart retweeted
Our latest collab with @schwanklab is out today! "Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs" nature.com/articles/s41592-0… Congrats to all authors & collaborators!👏🎉 @marquark @Amina_mollaysa @DQBM_uzh @Unispital_USZ @UZH_H2R
Excited to share our latest study!
Today in @naturemethods the @schwanklab and @krauthammerlab report in @marquark et al. 'Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs' (1/6)
nature.com/articles/s41592-0…
Check the @naturemethods research briefing associated with our latest study on TnpB for effective genome editing
nature.com/articles/s41592-0…
Kim Fabiano Marquart retweeted
Bridging genome editing, protein engineering, and applied machine learning in biology: Great to see our latest study, spearheaded by @marquark, out today in @naturemethods. Check out the paper! 🧬💻 @UZH_Science @schwanklab @krauthammerlab nature.com/articles/s41592-0…
Excited to share our latest study!
Today in @naturemethods the @schwanklab and @krauthammerlab report in @marquark et al. 'Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs' (1/6)
nature.com/articles/s41592-0…
Kim Fabiano Marquart retweeted
TnpB ist viel kleiner als die bekannte «Genschere» CRISPR-Cas. Nun wurde das Tool zur gezielten Veränderung des Genoms so verbessert, dass es dereinst zur Behandlung eines Gendefekts eingesetzt werden könnte, der zu einem lebenslang stark erhöhten Cholesterinspiegel führt.
news.uzh.ch/de/articles/medi…
@schwanklab @marquark @UZH_IPT
Kim Fabiano Marquart retweeted
TnpB is much smaller than the well-known CRISPR-Cas "gene scissors". The tool for targeted modification of the genome has now been improved to such an extent that it could one day be used to treat a genetic defect that leads to a lifelong high cholesterol level.
news.uzh.ch/en/articles/medi…
@schwanklab @marquark @UZH_IPT
Deeply grateful to @UZH_en for the support.
Seven early-career researchers were awarded UZH Entrepreneur Fellowships this year. The jury was impressed by their innovative product ideas and motivation to bring them to market as entrepreneurs: news.uzh.ch/en/articles/news…
@marquark @UZH_IPT @CelestinMUTUYI1 @PardisAdams @UZH_Chemistry
I'm excited to talk @ the #AMLDEPFL2024 conference today together w/ @nicopmat. Join us and @Amina_mollaysa @_bunnech @befcorreia @manschuer for AI in Genomics in Garden4C from 11 am on. You'll also find us at the AI x bio after-party lu.ma/amldepfl 🧬x🤖
Kim Fabiano Marquart retweeted
If you want to do Synthetic Biology and you love lakes and mountains you have to apply! UZH’s Faculty of Medicine seeks candidates for a Professorship in Synthetic Biology/Protein Engineering (open rank). tinyurl.com/9bka23pb #AcademicJobs #SyntheticBiology #UZH























