So awesome to have this great paper from @SamReffsin and Sara Cherry out! In it, we use retrospective clone tracing to show that there are particular single cell states that are more susceptible to viral infection (both SARS-CoV-2 and flu)!
https://t.co/9JSsuN94ma
1/ Very excited to share a preprint of my first, first-author paper @arjunrajlab on Piscis, a fully automatic deep learning algorithm for spot detection in fluorescence microscopy images! (e.g., single-molecule RNA FISH) https://t.co/4PDKPvO0Ca
I'm really excited to present work from @ophirshalem’s group with my outstanding co-first author Yevgeniy Serebrenik @YSereb to tag and manipulate proteins at scale, which we use to study the #proteome and #proteostasis https://t.co/USXPgZR5Ju
Very excited to share our work on identifying novel transcriptional states that drive variability in SARS-CoV-2 infection at the single cell level! https://t.co/ioDQqCPZan
A huge thanks to @arjunrajlab and Sara Cherry for their incredible mentorship during this project. In addition, this manuscript wouldn’t be possible without the help of Jesse Miller, Kasirajan Ayyanathan, Maggie Dunagin, @uffdaALLberries , and Dave Schultz.
Super excited to see what the future holds for the incredibly talented and creative @yogeshgoyal03. A must check out lab for anyone looking for a postdoc position in the fields of cancer bio or development
If you need a distraction during this immense time, consider checking out a new preprint from the Raj lab.
https://t.co/BaXEsqvz0L
The following thread will summarize what we found.
Today we are sharing a research protocol for SHERLOCK-based COVID-19 #coronavirus detection, and hope it will help others who are working to combat the outbreak. We will continue to update this as we make further progress: https://t.co/Fg1PhJl2RP