Zhisong He 何志嵩

Very exited to be awarded my first SNSF Project Funding as the project PI. Huge thanks to @snsf.ch and the very supportive comments from the reviewers! The grant will support my project to decode human brain development and disease with AI-driven regulatory network modeling

Excited to launch our AlphaGenome API goo.gle/3ZPUeFX along with the preprint goo.gle/45AkUyc describing and evaluating our latest DNA sequence model powering the API. Looking forward to seeing how scientists use it! @googledeepmind

An integrated transcriptomic cell atlas of human endoderm-derived organoids - Nature Genetics The human endoderm-derived organoid cell atlas (HEOCA) presents an integrative analysis of single-cell transcriptomes across different conditions, sources and protocols. It compares cell types and sta...

Integrated Organoid Atlas benchmarks new protocols, even more impressive as a Highly Variable Cohort for comparison against perturbation and disease models: nature.com/articles/s41... Lead by @quanxu.bsky.social, in collaboration with Lennard Halle and @fabiantheis.bsky.social

Modular integration of epithelial, microbial, and immune components to study human intestinal biology. Amazing team project with Rubén López-Sandoval, Marius F. Harter, Qianhui Yu, Matthias Lütolf, Mikhail Nikolaev, and Nikolche Gjorevski! biorxiv.org/content/10.1...

Great to be part of the team! And this would not be the end of our efforts on exploring and characterizing the organoid systems

Zero-shot evaluation reveals limitations of single-cell foundation models - Genome Biology Foundation models such as scGPT and Geneformer have not been rigorously evaluated in a setting where they are used without any further training (i.e., zero-shot). Understanding the performance of mode...

genomebiology.biomedcentral.com/articles/10....

Quite an indictment of some of the current single cell "virtual cell" foundation models. Even for the relatively mundane applications, cell labeling, batch correction etc, they are poor compared to much simpler & cheaper methods.

CellFlow enables generative single-cell phenotype modeling with flow matching High-content phenotypic screens provide a powerful strategy for studying biological systems, but the scale of possible perturbations and cell states makes exhaustive experiments unfeasible. Computatio...

Yay, we built a thing! With @dominik1klein.bsky.social Daniil, Aviv Regev, Barbara Treutlein @graycamplab.bsky.social @fabiantheis.bsky.social we use flow matching to enable generalised sc phenotype modeling. From cytokine screens to fate programming and organoid engineering tinyurl.com/3xhju7db

Multi-omic human neural organoid cell atlas of the posterior brain Patterning of the neural tube establishes midbrain and hindbrain structures that coordinate motor movement, process sensory input, and integrate cognitive functions. Cellular impairment within these s...

New preprint from the @graycamplab.bsky.social & Treutlein labs, offering a single-cell multi-omic atlas and morphogen screen of human neural organoid models of the midbrain and hindbrain (#cerebellum) 🧪🧫🧬🧠
Project led by
@nazbukina.bsky.social @zhisonghe.bsky.social @hsiuchuanlin.bsky.social

It was really great to work with @nazbukina.bsky.social @hsiuchuanlin.bsky.social and all people involved in this project! It is cool to see how we can learn about posterior brain development from organoids and how we can extend the organoid protocols from existing ones!

An integrated transcriptomic cell atlas of human neural organoids - Nature A human neural organoid cell atlas integrating 36 single-cell transcriptomic datasets shows cell types and states and estimates transcriptomic similarity between primary and organoid counterparts, sho...

Bit late with this, but super happy that our neural organoid atlas is out in Nature! Really fun collab with @zhisonghe.bsky.social and @le-and-er.bsky.social between the Treutlein lab, @fabiantheis.bsky.social and @graycamplab.bsky.social.
www.nature.com/articles/s41...

Looking forward to all the exciting projects and studies from your lab in the coming years!

Excited to announce that I will start my group at @crg.eu in Barcelona next April! We will decode and engineer cell fates using stem cell models, perturbation screening and single-cell multiomics. Looking forward to the new chapter ahead!

Glad that our neural organoid atlas is out @Nature! Many interesting analyses for in vitro-in vivo comparisons beyond neural organoid setting - here eg fig 4e, where we visualize on primary reference which brain regions are not yet covered by organoids. Exciting for exp design!

An integrated transcriptomic cell atlas of human neural organoids - Nature A human neural organoid cell atlas integrating 36 single-cell transcriptomic datasets shows cell types and states and estimates transcriptomic similarity between primary and organoid counterparts, sho...

Now in Nature! As a highly collaborative team with people from the Treutlein lab, @fabiantheis.bsky.social and @graycamplab.bsky.social, led by me, @le-and-er.bsky.social and @josch1.bsky.social, we generated the so far largest cell atlas of neural #organoid. www.nature.com/articles/s41...

An integrated transcriptomic cell atlas of human neural organoids - Nature A human neural organoid cell atlas integrating 36 single-cell transcriptomic datasets shows cell types and states and estimates transcriptomic similarity between primary and organoid counterparts, sho...

Super excited to share our Human Neural Organoid Atlas, now out in Nature! Led by @zhisonghe.bsky.social @josch1.bsky.social, and myself, this resource was created from 36 scRNA-seq datasets—totalling over 1.7 million cells! 🔬✨
 www.nature.com/articles/s41...


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Hi thanks for making the pack! Can you add me to the pack too please?

Thanks for making the pack, can you add me to the pack too?