Single-cell RNA sequencing of human tissue supports successful drug targets. ⁦Teichlab⁩ medrxiv.org/content/10.110…

Fantastic talk and visit from Luis B Barreiro describing how evolution and genetic ancestry shape immune responses to infection in ancient and modern humans. Thanks for visiting us! UVA UVACPHG

Now out in ⁦Cell⁩, super resolution imaging method of individual proteins (15nm) with unlimited multiplexing based on #DNAPAINT , provides new insights into synapses and local protein complex rearrangements.⁦ ⁦Jungmann Lab⁩ cell.com/cell/fulltext/…

Starfysh integrates spatial transcriptomic and histologic data to reveal heterogeneous tumor–immune hubs ⁦Nature Biotechnology⁩ nature.com/articles/s4158…

Cell-type-specific and disease-associated expression quantitative trait loci in the human lung across 66 IPF individuals and 48 unaffected donors..very nice work from ⁦Nick Banovich⁩ ⁦Davis McCarthy⁩ and others ⁦Nature Genetics⁩ nature.com/articles/s4158…

“the most important part of science is being prepared to be wrong”- Judith Campisi (1948–2024): Cell cell.com/cell/fulltext/…

Local heterogeneity of tissues can define their function and predict clinical outcomes. We introduce Kasumi 💻biorxiv.org/content/10.110… to identify spatially localized neighborhoods of intra and intercellular relationships from spatial omics persistent across samples & conditions

Types of single-cell eQTLs - Figure from our #Review 'Single-cell genomics meets human genetics' go.nature.com/3LjdSmL by
Anna Cuomo, Aparna Nathan, Soumya Raychaudhuri সৌম্য রায়চৌধুরী, Daniel MacArthur and Joseph Powell
Free to read here: rdcu.be/darro

A massive US programme that aims to improve health care by focusing on the genomes and health profiles of historically underrepresented groups has begun to yield results go.nature.com/3UJkosc

Thanks to CIHR-ICRH / L'ISCR des IRSC for supporting our exciting project on endothelial identity! Jason Fish and Kathryn Howe are leading with a team of amazing scientists Michael Wilson WarrenLeeLab Clint Miller Myron Cybulsky and prof Yun Fang at Chicago. Beautiful story emerging from @MbD_uoft $

Nice benchmarking study of spatially variable gene detection methods for spatial transcriptomics data..now out in ⁦Genome Biology⁩ genomebiology.biomedcentral.com/articles/10.11…

Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA go.nature.com/4b25IKC

Now out, new in silico method disentangles multimodal single-cell attributes to predict transient cell states, responses to genetic and drug perturbations..comparisons with chemCPA, GEARS and PerturbNet ⁦Nature Biotechnology⁩
Code: github.com/nitzanlab/biol… nature.com/articles/s4158…

Comparative analysis of multiplexed in situ gene expression profiling technologies Rahul Satija biorxiv.org/content/10.110…

Just wrapped up 'Statistical Programming Paradigms and Workflows' jhubiostat Johns Hopkins Bloomberg School of Public Health!

✅ All built in #Quarto
✅ Topics incl #unix #GitHub #Rstats pkg dev #API #SQL #rvest #purrr
✅ Amazing guest lectures: Joe Sartini Alyssa Columbus Boyi Guo 郭博逸

🔗 stephaniehicks.com/jhustatprogram…

Our paper on the development of a human genetics-guided score to prioritize drug target genes is online now in Nature Genetics Nature Genetics

Paper: nature.com/articles/s4158…

Share link: rdcu.be/du2ZR

Press release: mountsinai.org/about/newsroom…

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#Spatial Preprint🚨We've integrated #Histopathology , Spatial & #Singlecell #Transcriptomics to unravel #COVID19 🫁damage complexities. Joint effort with Omer Ali Bayraktar Wellcome Sanger Institute Noseda_lab Imperial College London Martin Hemberg UK-CIC
collabs. Check out 🧵doi.org/10.1101/2023.1…

Impressive automated ML based study predicting scRNA pipeline performance by comparing 288 pipelines across 86 datasets..should help optimize parameters for newly generated single-cell datasets. Training data here: zenodo.org/records/103423… biorxiv.org/content/10.110… Kieran Campbell