This new paper is probably the most prominent example to date of how linking genetic variation to cell-level, rather than tissue-level, gene expression can transform the interpretation of GWAS signals.
The study generates a single-cell eQTL resource from intestinal biopsies and blood samples from 421 individuals, including 125 with inflammatory bowel disease (IBD)👇
Announcing "Fast Biology Bounties."
I'm giving away $10,000 for ideas to speed up or reduce costs for wet-lab experiments. I'm looking for ideas that are highly original and technically tractable.
A couple paragraphs will suffice. Supported by Astera Institute. Details below.
Join us at Cell Symposia: Single-Cell Biology in the Era of AI (Dec 2–4, 2026, Munich) 🇩🇪
From multi-omics to AI-driven models of cellular dynamics — an exciting lineup across experimental & computational biology.
Hope to see you there!
🔗 https://t.co/bGczW7EYhS
I want to try something again at #ASHG25 this year: I'll block some time on Thursday and Friday afternoons to meet with trainees who would be interested to chat on any topic.
I did this last year and it was great to meet a whole bunch of new people, at all career stages!
⭐ Congratulations to Dr Albert Henry from Prof Joseph Powell’s lab on being awarded the NSW Health Cardiovascular Research Elite Postdoctoral Researcher Grant. His work combines data science with cardiovascular genetics to identify new therapeutic targets for heart disease.
Did a brief interview with @FLGenomics on https://t.co/GggnWgYH4e and our views on what works in single-cell/spatial 'omics! Write up here: https://t.co/trvQBQDeq7
📢 Up to 10 fully funded PhD scholarships at Human Technopole through @semm_it ! Join our international community & do cutting-edge research in Systems Medicine.
Apply by 9 June 👉 https://t.co/5Ez4BHFHTv #phdlife#phdcareers
Please check out our new manuscript extending the GREML methodology to quantify assortative mating and other forms of trait-associated genetic structures.
Thanks to all our co-authors and the study participants!
Here: https://t.co/DChwBcvmhA
Check out our scPrediXcan paper
https://t.co/Pcni6LfrNg
Led by talented @Charles_Zhou12, supervised by @MengjieChen6
and me, with thanks to many contributors
scPrediXcan integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework.
Heading to Oz Single Cell Sydney @ozsinglecells? Meet Element Biosciences & explore AVITI24™, the first intelligent #multiomics platform. Don’t miss Matthew Kellinger, PhD presentation: "High Dimensional Biology: #SingleCell & Spatial Multiomics Powered by #AVITI24". https://t.co/7LdnRUQjpk
#ozsinglecell25
I am recruiting a quantitative/computational postdoc to my group at UCLA. This is a great opportunity to work on foundational theory, methods, and software in statistical genetics. Link to apply below. Please repost!