Scafari: Exploring scDNA-seq data. #scRNAseq #Bioconductor #QC #VariantAnalysis #Visualization #Bioinformatics https://t.co/lbtDVK5U3k

New preprint showing human brain organoids from our library of patient #IPSCs modeling neurodevelopmental disorders. Four major clinical classes of NDDs (MIC, EPI, PMG, ID) showed distinct scRNAseq and organoid phenotypes. https://t.co/uMlxxGmo0O

Neuronal diversity is written in transcriptional codes 🧬. But what is the logic of these codes that define cell types and wiring patterns? To find out we built a #scRNAseq developmental atlas of the Drosophila nerve cord and linked it to the #connectome 🪰🧠 Tweeprint! ⬇️1/8

1/n TL;DR- Cell paper major claim re reprogramming ESC into 8-16cell stage "embryo founder cells EFCs" defined as 85-97% being OCT4+CDX2+GATA6+, is REFUTED by DATA in the SAME PAPER & PREPRINT. Immunostaining & scRNAseq prove CDX2-GATA6 rarely colocalize. https://t.co/ssFkIGgAtP

scRNAseq cell type annotation is notoriously messy. Despite so many algorithms, most researchers still rely on manual annotations using marker genes In a new preprint accepted at ICML GenAI Bio Workshop, we ask if reasoning LLMs (DeepSeek-R1) can help with cell type annotation🧵

Human brain #Organoid scRNAseq + scATACseq + single-cell transcription factor perturbation (CROP-seq, lentiviral gRNA library for 20 TFs, 3 gRNAs/TF, 1 gRNA detected/cell in >22k cells) in GLI3-HES1 antagonism for dorsoventral patterning in human telencephalon Pando:

Automate your #singlecell workflow for increased consistency. Our partnership with @SPTLabtech delivers ready-to-run methods for Chromium. Get greater reproducibility and efficiency. https://t.co/nZANV0evQ5 #LabAutomation #scRNAseq

Time for the weekly read list on genetics, multiomics, & precision medicine🧵 1⃣Drivers of immune cell-specific gene expression in an Asian population Across 619 Asian donors, integration of scRNAseq with genetic data enabled the discovery of molecular properties of immune

🚨 New preprint alert! 🚨 We used single-cell RNA-seq + GRN analysis to uncover novel morphogenic genes that boost #maize transformation frequency 🌽 https://t.co/hb6KzlojOC Thanks to @plaza_genomics and all other co-authors! #PlantScience #scRNAseq

#Atherosclerosis Epitranscriptomics Cell type-specific dysregulation of m6A machinery in pro-atherogenic phenotypes of #EndothelialCell (ALKBH5) #SmoothMuscleCell (WTAP) Mφ (METTL3 YTHDF2) Re-analysis of scRNAseq Wirka's Nat Med 2019 https://t.co/3YbAS1eQVe @THNOdotORG 2025

Today, we report that chronic intermittent fasting impairs beta-cell maturation & function in adolescent mice. Using scRNAseq, we delineated a maturation score for beta-cells. Long-term good if you're older, might be harmful if you are still developing! 👇 https://t.co/0dZu2LmVYv

MIT-NovoNordisk liver team meeting this morning was 🔥🔥🔥. We finally have everything from scRNAseq to species translation models to microfluidic pumps good for immune cells. Long action item list, in all good ways. All human!

shinyUMAP: an online tool for promoting understanding of single cell omics data visualization. #SingleCell #scRNAseq #DataVisualization #Genomics #Bioinformatics @biorxiv_bioinfo https://t.co/4pHKwLkwGl

This week, I want to specifically highlight Alzheimer’s disease and related dementia preprints that I invite you to review, with a $150 reward for a high-quality contribution. Some keywords are: blood-brain barrier dysfunction, AD mouse models, scRNAseq, lyosomal pathways, gut

My continued biomedical education Uterine fibroids at single-cell resolution: unveiling cellular heterogeneity to improve understanding of pathogenesis & guide future therapies Integrated digestion of canonical Genetics (MED12 HMGA2 FH) & Clonality & scRNAseq 3

So excited to see this paper on the stromal changes driving Barrett’s Esophagus progression to Cancer. A Herculean effort effort integrating scRNASeq/CODEX/ECM proteomics. Concerted changes in Epithelium and Stroma: a multi-scale, multi-omics... https://t.co/XodEJJGPR0

I got a preview of new things @roserventotormo learned from integrated analysis of scRNAseq on over 600K endometrial cells (~300K after curation), including her own new data sets...she goes beyond atlas, to illuminate biology, come learn for yourself TOMORROW 4 pm in 32-155.

🚀Meet the 𝐀𝐭𝐥𝐚𝐬 𝐨𝐟 𝐍𝐞𝐮𝐭𝐫𝐨𝐩𝐡𝐢𝐥 𝐁𝐢𝐨𝐥𝐨𝐠𝐲 & its companion app 𝑁𝑒𝑢𝑡𝑟𝑜𝑝ℎ𝑖𝑙 𝐶𝑎𝑛𝑣𝑎𝑠. — a hub for exploring #neutrophils with #scRNAseq. Discover, compare & interact with #singlecell neutrophil across studies. #Bioinformatics #DataViz #OpenScience

Scnanoseq: an nf-core pipeline for oxford nanopore single-cell RNA-sequencing. #scRNAseq #LongRead #Sequencing #Bioinformatics #Genomics https://t.co/kjgHAkAQQ3