Would you like to do high-dimensional "omics" phenotyping but on a living sample? Time to have an ESPRESSO! ☕️
After many years, we have established a framework for spatiotemporal omics name ESPRESSO!!
https://t.co/symP7uXMkV
Full tweetorial below! Please share and RT 1/11
This work wouldn't have been possible without awesome colleagues and collaborators such as @michelledigman, Enrico Gratton, @jenn_prescher@atwoodlab Mariana Navarro, Yunlong Jia and of course the best spheroid-maker one could possibly have, @Giulia_Tedeschi! 10/11
🥼 Researchers at the @atwoodlab & collaborators combined differential gene expression, pseudotime analyses, and spatial localization, to reconstruct human-skin-equivalent #organoid culture #keratinocyte differentiation trajectories.
In @CellReports:
📘 https://t.co/9mH0zxsV3w
Our work defining human basal cell carcinoma at the single cell level is finally out! Nearly 4 years (yes, we are slow) of fun bottled up in one pdf.
https://t.co/JZ2y30ihSP
Some proteins migrate differently than expected from calculated mass on an SDS-PAGE. Guan et al. have described how the % of acidic residues modifies the apparent MW. We have built a free handy tool that leverages their work to predict the adjusted mass: https://t.co/EFvXg71Mkr
New paper from the lab. "Exploiting Endogenous Enzymes for Cancer-Cell Selective Metabolic Labeling of RNA in Vivo". Fun collaboration with friend and colleague @atwoodlab!
https://t.co/yBuqM6KY44
Reminder: 3 open faculty positions at all ranks in the Department of Biological Chemistry @UCIrvineSOM. Come join us, we are a highly collaborative and energetic group! Please help spread the word and RT!
Now on bioRxiv, our latest manuscript, headed up by Project Scientist Dr. Jane Bardwell @abardwel, in collaboration with @WatermanLab and @atwoodlab:
ERK2 MAP kinase regulates SUFU binding by multisite phosphorylation of GLI1 https://t.co/fUz3vwjnR6… #bioRxiv
My @UCIrvine department of Developmental and Cell Biology, in @UCIBioSci, is hiring for an assistant professor in Quantitative Cell Biology. Applications due Dec 15! https://t.co/3a7BeOcygc
Good advice for #scRNAseq analysis:
"High gene detection and stringent filtering positively impacts on cell type classification, which is the primary goal for most of the scRNA-seq experiments. Thus, choosing the best possible option is crucial."
https://t.co/4cAyMSF4of
@surt_lab Name recognition is important, especially if you don’t know precisely what you want to do. I did not know what universities were good at science, but I did equate good sports with a good academic experience.