PACNet quickly measures transcriptional fidelity of engineered cells from bulk data. Robust to exp method, it also compares yours to previously published data. Led by Emily Lo, with Dan Peng @Jvquez12 @MoEbrahimkhani @ChulanKwonLab. See @stemcellreports dlvr.it/SsTwDJ
Congratulations to Dr. Emily Su on the defense of her thesis Computational Tools to Explore Cell Identity Transitions with Application to Cell Fate Engineering! Please remember us when you become famous!
by @morris_lab tinyurl.com/4hckkydh, H Okano tinyurl.com/5n94nb3h, @delSolLab tinyurl.com/3t7kfxw5. 5/n
Articles by @EssJayD and A Smith tinyurl.com/yc8xefuf, X Aranguren & F Prósper tinyurl.com/cd7cec66,
W Xiang & Y Cui & H Li tinyurl.com/y9kxa8bf. 4/n
Review of cell-based models of embryogenesis by @DavidM_Richards cell.com/stem-cell-reports/f…. 3/n
Commentaries and perspectives by @OwenRackham tinyurl.com/4xe6pats, Ben MacArthur tinyurl.com/mr2uzuyr, @LH33837868 @LeifLudwig tinyurl.com/3shepxkw. 2/n
M Zamani @NganHuang & R Cheng @cahanlab @HopkinsMedicine ID-ed regulators of endothelial to mesenchymal transition. Exploring #Tgfb & substrate stiffness on #EndMT they found a Mesenchymal-to-endothelial reversion and linked populations to #atherosclerosis onlinelibrary.wiley.com/doi/…










