Hot off the press! #singlecell learning on the go. Watch this nine-part miniseries to learn: 🔑 Key considerations for single cell experimental design 📕 Best practice guidance for successful sample preparation 🔎 Single cell analysis workflow 10xgen.com/1AW

Excited to announce our Human Bone Marrow Progenitor Atlas (doi.org/10.1038/s41590…). >80 rare stem/progenitor states delineated through multimodal (CITE-Seq) integration w/ prior cell atlas labels (scTriangulate). Validated by InfinityFlow, sorting & in vitro differentiation.

The new Scholar Reader extension will update the Chrome PDF reader to automatically add in-text citation summaries, table of contents, in-text figure/table links, etc. scholar.googleblog.com/2024/03/superc…

(1/5) Attention, Cellular Imaging Enthusiasts! Thrilled to share that our Analysis "The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions" has been published in Nature Methods (@NatureMethods) 🎉🎉🎉 Cell segmentation is a critical component of

10x Genomics released new single cell GEM-X assays in March, and we were quick to try it out. FHIL benchmarked 5’ GEM-X against 5’ Next GEM v2 chemistry with sorted T-cells from healthy donor PBMCs and targeted the recommended max for each assay, 20k and 10k respectively.(1/8)

🌎👵⚤ Excited to share Multi-organ map of the human immune system across age, sex and ethnicity From 29M cells and 12K samples from Human Cell Atlas, tissue-specific #Ageing programs, sexual #dimorphism, #Ethnical diversity in #Immunotherapy targets biorxiv.org/content/10.110…

I'm happy to share that out paper on Phantasus, a web-application for visual and interactive gene expression analysis, got out in eLife - the journal elifesciences.org/articles/85722 Here, I'm using it to analyze a random GEO dataset, including basic QC to filter outliers, in under 100 seconds! 1/n

Seems like you can determine sequencing platform from the quality scores alone using a GPT model open.substack.com/pub/aseq/p/usi…

Systematic comparison of sequencing-based spatial transcriptomic methods in Nature Methods In summary: “- Stereo-seq, Slide-tag, Visium shows the better capture efficiency with raw sequencing depth - Slide-seq V2, Visium (probe), DynaSpatial gives the better capture efficiency

$ILMN - Illumina buys Fluent Biosciences to accelerate single-cell analysis seekingalpha.com/news/4123099-i…

Are you missing cells and cell types in your single-cell multiome experiments 10x Genomics? Check out EmptyDropsMultiome MarioniLab