Thrilled to share new collaborative paper from my former lab using long-read sequencing technologies! Congrats, Mahoko-Sensei!

元ボスがPostdoctoral fellowかResearch Scientistを探しています。今日ある人は連絡ください。ただし場所はテキサス

Excited that I am going to give 2 oral talks for multi-modal single-cell study at #ACR2024 ! 1. "RA – Diagnosis, Manifestations, & Outcomes II: Bad Blood" session | with CU Anschutz Division of Rheumatology 2. "Sjögren's Syndrome – Basic & Clinical Science" session | with Keio Global

Today I’m gonna talk about single cell study for At-Risk RA! #ACR24 #ACR2024

Come to hear our exciting work of 👏deciphering activated lymphocytes using deep immunophenotyping, both #singlecell CITE-seq and CyTOF, for at-risk #RheumatoidArthritis with cross-cohort validation #ACR24 American College of Rheumatology

Great talks already from Judith James and Joel Guthridge. Looking forward to hearing from Jun Inamo, Roopa Madhu, Dr. Fan Zhang ⛵️, and Kevin Bu. #ACR24

Today I’m going to talk about single-cell study which reveals heterogeneous T cell populations and activated fibroblasts in salivary glands of Sjögren syndrome/disease! Keio Global #ACR24 #ACR2024

The GTEx V10 has been released. Compared to release V8, V10 has 12% more RNA-seq samples and 23% more samples used for eQTL analyses. V10 release includes new smallRNA-seq data from 16,760 tissue samples, including gene expression counts and cis-QTLs. It also includes deep

📣 We are hiring! Join Yoshiji Lab at McGill University Dept of Human Genetics in Montreal, Canada! yoshiji-lab.org/joinus ✅Fully Funded Positions • 2 MSc Students • 1 PhD Student • 1 Postdoc ✅Goal: Using human genetics and multi-omics for drug target discovery and

Interested in single cell genomics but need help getting started? Check out my lab's Single Cell Genomics Day on April 25. Talks will feature recent exciting computational and experimental advances and will be live-streamed at satijalab.org/scgd. Please RT/spread the word!

Excited to see our work at Dr. Fan Zhang ⛵️ lab in Journal of Clinical Investigation ! Really appropriate collaborators

Excited 🎉 to share our new paper CellPhenoX, an #explainable #MachineLearning tool 🔨 to link #SingleCell data to clinical outcomes, advanced.onlinelibrary.wiley.com/doi/10.1002/ad…. It detects both linear, nonlinear, and even subtle interaction effects underlying clinical single-cell datasets!