Erica’s farewell party
Cheeky Monkey's ping-pong tournament. You will be missed, Erica!
Pizza party
Division pizza party to say farewell to summer students. Especially Onasis Soto and Jonathan Good!
Farewell Nastia & Patty
All the best to Anastasia and Patricia from the Mullally lab who will go on to pursue their dreams in…
Lab Lunch Spring 2021
After doubling the size of the lab in a short time, it was time to get together for an India…
MAESTER Preprint
A two-year collaboration with Tyler Miller from Bradley Bernstein's lab and Caleb Lareau from Vijay Sankaran's lab has culminated in…
Review: Single-Cell RNA Sequencing to Disentangle the Blood System
Many congratulations to Jean and other authors for the publication of the brief review in Arteriosclerosis, Thrombosis, and Vascular Biology!…
Support from Glenn Foundation/AFAR to Study Aging in Blood Stem Cells
Peter was awarded a Grant for Junior Faculty from the Glenn Foundation for Medical Research and the American Federation for…
Research Staff Excellence Award for Daniel
Daniel won the 2020 Research Staff Excellence Award! Congratulations! Source: Brigham Research Institute, Research Excellence Awards
;
Excellent work @MarinaAinciburu Duncan Morgan @EAKDePasquale Chris Love & @FelipeProsper! Stay tuned for an update on single-cell TCR sequencing https://github.com/mainciburu/WAT3R 👩💻 #ScienceTwitter
Awesome demonstration of why you should be careful to use standard functions without questioning. Marker gene selection is really important - e.g. for subsequent classification/label transfer - and different approaches yield discrepant results!
I'm excited to share new work from @jeffreypullin on the ubiquitous scRNA-seq data analysis task of *marker gene selection*
"A comparison of marker gene selection methods for single-cell RNA sequencing data"
https://www.biorxiv.org/content/10.1101/2022.05.09.490241v1
We learnt a lot! Read on for highlights...👇
First Pool Lab pre-print: . We resolve a major pain with 3’ single-cell RNA-sequencing (10x Genomics etc.) – missing gene expression data from thousands of genes. This stems from suboptimal reference transcriptomes and can easily be recovered. T below: 1/12
Enhanced recovery of single-cell RNA-sequencing reads for missing gene expression data
Droplet-based 3’ single-cell RNA-sequencing (scRNA-seq) methods have proved transformational in characterizing cellular ...
bit.ly
Kyle Romine presents part of his thesis at #AAI2022 . Can you rewire terminally exhausted T cells? Maybe. If you missed the talk (or have questions) check out poster P983 Sunday. @OHSUKnight @vangalenlab @KyleRomine12 @ohsummi @BernardAFox
@vangalenlab and @DrMonicaGuzman moderating this wonderful session and discussion @harvardmed @harvardstemcell @WCMLeukemia
