Driskell Lab retweeted
Such an amazing resource. Thank you @SBDRCatMtSinai !!
We have updated our Skin-Gene Level Omic Web Tool (Skin-GLOW) platform! Curated for the skin community (& beyond) to easily access, visualize and compare expression levels of a specific gene across multiple mouse-skin-related published datasets! See👇🏽
rstudio-connect.hpc.mssm.edu…
Driskell Lab retweeted
Sharing our human fetal lung cell atlas: description and hypothesis generation + organoid testing = fun! 😀 #devbio #HCA Privilege to work with @PengHeCam @KyungtaeL @sundakao biorxiv.org/content/10.1101/…
Driskell Lab retweeted
Super excited to share our (with @PengHeCam @KyungtaeL ) manuscript on single-cell multiomic and spatial atlas of the human fetal lung, a collaboration of @LabRawlins @MarioniLab and @teichlab), led by Emma Rawlins and Kerstin Meyer. biorxiv.org/content/10.1101/…
Driskell Lab retweeted
Two resources that have been helpful for sharing RNA seq data broadly in the skin field are: from @DriskellLab: skinregeneration.org/scrna-s…
from @rendlm hair-gel.net/
@Sarah_JB_S @ORSsociety #ORS2021
ORS #Orthopaedic Implants Section #Scientific Mtg. has over 168+ attendees & going great! #ORS2021 #shoulder #Knee #arthroplasty #ORSImplants
ors.org/orthopaedic-implants… @mikehastPhD
Driskell Lab retweeted
Our collaboration w/ @DriskellLab @jeffbiernaskie has imparted new insights into features shared by regenerating neonatal & adult wounds! We also present hypotheses regarding the origin of reparative fibroblasts and potential challenges in combining scRNASeq w/ transgenic models:
Our collaborative publication with the Biernaskie lab (@sarthak_s ) is now published as an open access article in @ExpDermatol . We explore #Skin_Regeneration by comparing #singlecell data between small and large #woundhealing.
onlinelibrary.wiley.com/doi/…







