@astarr2.bsky.social & Fraser used single-cell RNAseq to determine if abundant cell-types have more conserved gene expression patterns in primates; their findings also argue for a link between the evolution of human cognition and autism. 🔗 doi.org/10.1093/molbev/msaf189 #evobio #molbio #autism

Congratulations to Nathan for conceiving and designing this unified demultiplexing toolkit!

Watching axons on the move Check out this study, ranked ‘Fundamental’, on how the ligand Netrin mediates axon guidance through haptotaxis and chemotaxis. elifesciences.org/articles/100...

Exciting discovery by Svensson lab and collaborators @stanfordmedicine.bsky.social, computational discovery of 2500 new bioactive peptides, including 12-mer named BRP that reduces food intake leading to weight loss w/o nausea in mice! www.nature.com/articles/s41...

This is an awesome approach! I’d be very curious if the causal gene expression change-phenotype links could be used to predict hemoglobin in other species. E.g. if you take all the causal links, compare expression between humans and mice, can you predict what hemoglobin levels in mice are?

Modern GWAS can identify 1000s of significant hits but it can be hard to turn this into biological insight. What key cellular functions link genetic variation to disease? I'm very excited to present our new work combining associations and Perturb-seq to build interpretable causal graphs! A 🧵

Glad I could play a role in helping to explore the great findings enabled by this awesome new tool! Excited to see what cool biology will be uncovered using sc-SPLASH in the ever expanding single cell RNA-seq datasets, particularly from emerging and non-model organisms!

sc-SPLASH provides ultra-efficient reference-free discovery in barcoded single-cell sequencing https://www.biorxiv.org/content/10.1101/2024.12.24.630263v1