Rahul Satija

@satijalab

Core Member, New York Genome Center Assistant Professor, Biology, NYU

Vrijeme pridruživanja: rujan 2009.

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  1. Prikvačeni tweet
    21. sij

    Our lab is growing! Interested in multi-modal/spatial single-cell analysis? We are seeking applications for experimental and computational staff scientists until 2/15, and are always recruiting postdocs. More info at . Just DM me a CV to apply, please RT!

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  2. prije 15 sati

    ZipSeq from the Krummel lab ( ) prints spatially-patterned barcodes onto live cells within intact tissues. After dissociation and scRNA-seq, cells can be mapped to their original location!

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  3. proslijedio/la je Tweet
    prije 21 sat

    We're excited to release a update for the analysis and visualization of data, focussing on Visium and MERFISH, thx . Tutorial at Support for different data types and integration with soon!

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  4. 31. sij

    Important work from carefully comparing sample preparation protocols for scRNA-seq. Identifies protocol-dependent biases in cell type recovery and gene expression for human pancreatic islets, but results likely extend to many primary tissues:

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  5. 30. sij

    Thanks to everyone who tuned in for ! Selected slides, video, and resources are now available at For those in a different time zone, we will rebroadcast the entire livestream next Thursday (2/6) at 9:30PM EST.

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  6. proslijedio/la je Tweet
    24. sij

    Does single cell RNA-Seq predict gene dynamics? We just had to find out ... by lineage tracing ... in hematopoiesis. Introducing LARRY 😁. Awesome collaboration with Fernando Camargo and . Kudos for trailblazing this field!

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  7. proslijedio/la je Tweet
    23. sij

    Our latest preprint, with the lab. High-resolution transcriptional and morphogenetic profiling of cells from micropatterned human embryonic stem cell gastruloid cultures...

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  8. 23. sij

    Livestream for our free single cell workshop starts tomorrow at 9:30AM EST. If you're watching online, you can tweet questions using , and we'll relay to presenters in the room. See you tomorrow!

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  9. 14. sij

    Interested in single cell genomics but need help getting started? Check out the agenda for my lab's free workshop next Friday. Very excited that we will be livestreaming all talks with the support of ! Please RT and spread the word!

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  10. 9. sij

    If you're interested in who will be a future scientific leader, keep an eye on the PhD students who highlight, promote, and applaud the work of their competitors.

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  11. proslijedio/la je Tweet
    8. sij

    Calling all neuro-students and early postdocs: Come join us in Bordeaux in June for three weeks of beautiful France and a lot of single-cell awesomeness! Favereaux lab

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  12. proslijedio/la je Tweet
    7. sij

    Very excited to share our pgFARM study, which describes CRISPR/Cas9-based screening of ultraconserved poison exons during in vivo tumorigenesis! Great collaboration with , just out in :

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  13. proslijedio/la je Tweet
    7. sij

    Scanpy 1.4.5 is out with an overhauled website and a long-overdue first tutorial on dataset integration. Most contributions from Scanpy core (, , , ) with the "ingest" tool due to .

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  14. 23. pro 2019.

    Interested in statistical models for scRNA-seq? Happy holidays! Two papers in : * GLM-PCA from and : * Our sctransform package (by Christoph Hafemeister) for normalization and variance stabilization:

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  15. 18. pro 2019.

    Ultra-high throughput scRNA-seq from Christoph Bock's lab! Combines combinatorial barcoding with droplet microfluidics to sequence >150,000 cells on a single lane:

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  16. 12. pro 2019.

    We are excited to work on this problem as part of and ! Special thanks to lead and co-authors and , and to for beautiful figures!

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  17. 12. pro 2019.

    Our perspective: "Towards a Common Coordinate Framework for the Human Body" is out today in ! With the Regev Lab and , we discuss challenges and opportunities for constructing, mapping, and querying a CCF:

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  18. proslijedio/la je Tweet
    11. pro 2019.

    Our multi-omics atlas of mouse gastrulation at single-cell resolution is published today in ! Again, a truly enjoyable collaborative work between the , and : See thread for a quick summary 👇🏽:

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  19. 10. pro 2019.

    We’re excited to release a Seurat update with support for Spatial Transcriptomics data! Includes clustering, interactive visualization, and integration with scRNA-seq references. Check out our vignette on Visium data:

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  20. 9. pro 2019.

    The first window into this story came from scRNA-seq, which revealed genes that were overexpressed in pathogenic Th17 cells. But the real findings came from remarkable functional experiments to establish how Gpi1-loss selectively eliminates some cell types, but not others

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