I’m hiring a computational biologist at Genentech to analyze cutting-edge single-cell genomics and high-throughput screening data in an extremely collaborative environment focused on finding cures for disease. Please reach out to learn more.
https://t.co/RsMaiTo9O1
I’m hiring a computational scientist 3 at Genentech to analyze cutting-edge single-cell genomics and high-throughput screening data in an extremely collaborative environment focused on finding cures for disease. Please reach out to learn more. https://t.co/RsMaiT76M1
I’m hiring a computational scientist 3 at Genentech to analyze cutting-edge single-cell genomics and high-throughput screening data in an extremely collaborative environment focused on finding cures for disease. Please reach out to learn more. https://t.co/RsMaiT76M1
We've known for a long time that a large fraction of noncoding GWAS hits are not currently explained by eQTLs. Why?? I'm excited to share our new preprint on this! Take home: GWAS and eQTL assays maximize power for different types of variants. (1/n)
https://t.co/JUFXnE7zLU
Thrilled to share findings published today @Nature from our lab in collaboration with @MarsonLab @GladstoneInst and two labs (Ye Zheng and Ron Evans) @salkinstitute.
https://t.co/SuBomaeJzO
@AirbnbHelp 10 hours later and Airbnb is waiting to hear from our host if they can fix the problem, but no one can reach the host. @Airbnb@AirbnbHelp solution is to just keep waiting for the host even if that takes days.
Thrilled to have our recent work from the @marsonlab published in @ScienceMagazine https://t.co/B24wWo2ERJ. This was the result of an awesome collaboration between myself and fellow Marson Lab postdoc, @R_Schmidt_ (1/12)
The @MarsonLab has a position open for a research associate to work on gene regulatory network mapping in human immune cells. Check out this related preprint: https://t.co/hXTrsE68FS & apply here: https://t.co/tYKQsK35JM
Excited to announce that our paper describing NEAT-seq, a method to simultaneously measure transcription factor protein abundance, ATAC-seq, and RNA-seq in single cells, is out on biorxiv! Congrats to Amy and Ben! https://t.co/XJh5TndOcj
Excited to share new work w/ co-lead @CamilliaAzimi, @MarsonLab @kickassscience1@roybal_lab: using a method we call 'CAR Pooling', we tested many CARs in multiplex & found new non-T cell signaling domains which improve CAR-T efficacy. https://t.co/QvhYSPRSlv 👇🧵 1/10
Excited to share our recent preprint from the @marsonlab, where we used complementary genome-wide CRISPRa and CRISPRi screens to map regulators of cytokine response in primary human T cells. Terrific collaboration with fellow Marson Lab postdoc, Ralf Schmidt @R_Schmidt_! (1/15)
@johnomix@nevillesanjana@tuuliel Cool preprint. Looks like CRISPRiV2 is much better for enhancers, did you try any of the other recent CRISPRi constructs such as using ZIM3 or the Weissman CRISPRoff with DNMT3A? When target gene is the 2nd closets gene, is the closest gene not expressed?
@andy_utoronto@tuuliel_lab @davisjmcc @jkpritch some other tissues which might function in more isolation and disease risk might be more cell intrinsic. 3/3
@andy_utoronto@tuuliel_lab @davisjmcc @jkpritch for functional studies. On the other hand, the immune system interacts with every other tissue/microbiome so it's going to be more complicated to measure the contribution of these interactions on disease risk compared to 2/3
How can we systematically measure gene regulatory networks around key disease genes?
Excited to share our new work using CRISPR KOs in primary T cells, with @MarsonLab, led by @JakeFreimer and Oren Shaked:
https://t.co/FlF3aKvsFn
Big new serology study from @MarsonLab @pdhsu et al. Lots of really detailed data on 12 different tests (10 lateral flow, 2 ELISAs). A lot of disagreement and specificity issues. Super detailed and important work.
https://t.co/jsYn3Tcjni
Really amazing work co-lead by my student @cody_mowery, the @MarsonLab and @pdhsu to show the performance of serological assays (lateral flow and ELISA) for detecting Sars2-CoV-2 antibodies: https://t.co/uAHEtH48vX.
Our latest: "GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background": https://t.co/Yuv6nfsipR
We use urate, IGF-1, and testosterone as model molecular traits to learn general principles about the architecture of complex traits.