Group leader @astar_gis Regulatory Genomics single cell biology, non coding elements, technology development

Joined August 2008
Just out in Cell: the Asian Immune Diversity Atlas (AIDA) is a 5-nation single-cell blood atlas. We show that humans are remarkably diverse in gene expression and cell phenotype, with disease implications #healthcaredisparities #PrecisionMedicine [tinyurl.com/AIDA-Cell-2025]. [1/14]
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HCA Asia meeting:  Applications to present a poster or short talk extended to 30th August Don't miss the chance to showcase your work. Register now to submit your abstract at events.humancellatlas.org/20… or via email to [email protected].
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Single Cell Congress in Singapore from 11-12 July 2024. Amazing keynote speakers Dr. @drjosephpowell, Dr. @HongkuiZeng, and Dr. Xuegong Zhang. Registration is now open and complimentary! global-engage.com/product/si… #GIS #Astar #singlecells
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1/ Excited to share our latest work on mapping the transcribed cis-regulatory elements (tCREs) in single-cells across 23 human tissues for dissecting trait heritability with cellular contexts. doi.org/10.1101/2023.11.13.5…
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The most beautiful equations in #Physics and #Mathematics -- #infographic from physicshistory.gumroad.com/l…
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JayShin retweeted
We’re excited to launch #CZCellxGene Discover Census, a new capability that can cut parts of the #SingleCell analysis process from weeks to minutes. czi.co/41Zj3ya
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Great work by Wallace Yip and the FANTOM team to elucidate the function of long non-coding RNA, a second series to our HDF story in Genome Research. sciencedirect.com/science/ar… genome.cshlp.org/content/30/…
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Thank you so much to all contributors who added all these AWESOME tools!! Please also check out this review doi.org/10.1016/j.tig.2021.0…!! - @yukkeiwan 5/5
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Single-cell 5'end RNA-Seq detects gene expression and enhancer activity in one single assay with no extra cost. Adding an additional layer on existing 10x 5'end data for free: all you need is the software bioRxiv: bit.ly/3fGcaMY GitHub: bit.ly/39HoyZb
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Looking forward to hosting this session as part of the #ISSCRDigital program together @JayShin. We will explore how dry+wetlab tools that are hugely increasing the throughput we can test different cellular perturbations with and discuss how they can be best used going forwards...
Our newest #ISSCRDigital program focuses on the latest developments in the rapidly advancing field of computational #stemcell biology. Registration is now open for this 3-part series! @OwenRackham @JayShin @morris_lab @mincle @cahanLab @PZandstra isscr.org/meetings-events/is…
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Register for the December 16th Asia & Australia HCA Developmental Neurons Seminar at us02web.zoom.us/webinar/regi… Submit questions ahead of time at slido.com/hcadev
Hear the latest advances in mapping every cell in the human body, 8th Sept, 9.30am-3pm AEST, to be discussed by invited speaker, Jay W. Shin PhD, HCA member & #SingleCell researcher biomedicalsciences.unimelb.e… @JayShin @humancellatlas @broadinstitute @sangerinstitute @wellcometrust
Want to learn about #singlecell genomics? Pls register for FREE, Sept 8, 9.30-3pm AEST unimelb.zoom.us/webinar/regi… @UniMelbMDHS @WEHI_Postdocs @MonashBDI @Hudson_Research @GarvanInstitute @QIMRBerghofer @sangerinstitute @riken_en @humancellatlas @PeterMacCC @TheRMH @KirbyInstitute
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JayShin retweeted
Why are researchers in the #humancellatlas including Piero @carninci and @JayShin working in the to create maps of all the cells in the body? riken.jp/en/news_pubs/resear…
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First preprint from my lab at @RIKEN_CPR @RIKEN_IMS! Viruses, piRNAs, endogenous viral elements (EVEs), human genetic variation and mosaicism, telomeres, transposons… even transplantation. We managed to write about 𝑎𝑙𝑚𝑜𝑠𝑡 everything we think about😉biorxiv.org/content/10.1101/…
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Research News Why map every cell in the human body? RIKEN is spearheading Asia’s efforts for the Human Cell Atlas, a push to understand the regulatory networks that make human cells unique. Piero Carninci (@carninci) & Jay W. Shin (@JayShin) @RIKEN_IMS riken.jp/en/news_pubs/resear…
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New paper out, excellent work by @yi_john_huang. We developed a framework for identification of transcriptional on- and off-target effects of drug treatment by comparing the treatment effects with knock-down of the main drug target. nature.com/articles/s41598-0…
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