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…
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I will admit this is something I've been wanting to do for a long time. Congrats @AnnaEnim, @nevnevv, @FrancoIzzo85, @RobertMMyers, Rekha Murali, @IreneGhobrial, and @landau_lab! Really nice work 😀🍾
Single-cell multi-omics of human clonal hematopoiesis reveals that DNMT3A R882 mutations perturb early progenitor states through selective hypomethylation
Nature Genetics - Multi-modality single-cell sequencing determines genotype, transcriptome and methylome information in cell...
www.nature.com
Single-cell papers that make the count matrices and cell type classifications easily available are 100% more likely to be cited by me. Cell type-specific signature genes are a bonus.
An interesting strategy - public voting on the finalists of a science award. Support @SandraMcAllist4 and @EMittendorfMD so they can help Black breast cancer patients @BrighamWomens https://www.discoverbrigham.org/bri/awards-funding/bright-futures-prize/bfp/
Seurat FindMarkers returns the % positive cells, log2 fold change, and P-values, but not the mean. To get mean transcripts per 10K, use rowMeans(expm1(GetAssayData(subset(seu_object, sample_group == "Control"))))
Check by reproducing log2 FC using log2((Treated+1)/(Control+1))
Label transfer is the way of the future for single-cell cluster annotation. But how well does it work between technologies, e.g. using a reference created with 3' chemistry to annotate a 5' dataset?