Our epiScanpy paper is finally out 🎉🎉 nature.com/articles/s4146… If you use #scanpy to analyse scRNA-seq data, then you can also use epiScanpy for your single-cell epigenomic data analysis 👍 Check out our new tutorials colomemaria.github.io/episcanpy_doc/… now also including among others LSI

Our supporting resource Common Metabolic Diseases Genome Atlas has now expanded to house epigenomic data & present visualizations for common metabolic diseases, check it out here:cmdga.org. Kyle Gaulton @KudtarkarParul, Public webinar, Thursday $ noon ET, link: broadinstitute.zoom.us/j/92944548843?…

A relief to be able to cite in support of the intuition that most DE signals are secondary, not causal. It will be interesting as we gather more sc data to see how much those 2y changes reflect diffs in cell composition vs effects w/in like for like cells nature.com/articles/s4146…

What a fantastic celebration! 💕#TeamScience So thankful to be part of this amazing community from academia & industry working together to improve our understanding of #type2diabetes NIDDK Foundation for the National Institutes of Health Common Metabolic Diseases Knowledge Portal Common Metabolic Diseases Genome Atlas theparkerlab 🇬🇧🇸🇪🇺🇸

Kyle Gaulton joins the Autoimmunity Symposium from UC San Diego discussing genetic (and epigenetic) risk in #T1DM. Including this open-access portal sharing such genes 🧬 Australian and New Zealand Society for Immunology #Immunology #Autoimmunity

Try this new #T1D resource in the #T1DKP: an expert-curated list of predicted T1D effector genes from the Kyle Gaulton lab.

Characterizing cis-regulatory elements using single-cell epigenomics go.nature.com/3o4qCkP #Review by Sebastian Preissl, Kyle Gaulton & Bing Ren Center for Epigenomics @ UC San Diego UC San Diego Universität Freiburg Ludwig Cancer

From the platform that makes human genetics & genomics available for researchers for #T2D, out in preprint today, is our new work outlining a resource for #T1D: t1d.hugeamp.org Common Metabolic Diseases Knowledge Portal Common Metabolic Diseases Genome Atlas Kyle Gaulton Stephen Rich biorxiv.org/content/10.110…

We created an integrated map of scRNA-seq data from 65 non-diabetic, Aab+, T1D and T2D pancreatic islets as a community resource. A thread describing the publicly available tools we generated, all available at isletgenomics.org Kyle Gaulton 🧵... 1/n biorxiv.org/content/10.110…

Our review on using single cell epigenomics data to understand disease associated variation

Kyle Gaulton getting us started in the first session of the meeting: Diabetes genetics and islet genomics! Working hard on generating web resources providing islet genomics data to the islet/diabetes community! #islets2023 #T1D

Common Metabolic Diseases Knowledge Portal Great to meet members of the NIDDK-supported Accelerating Medicines Partnership-Common Metabolic Diseases Knowledge Portal, giving live demonstrations at #ADA2023! - GR American Diabetes Association - DiabetesPro

New in #PLOSBiology, Noel Burtt Kyle Gaulton &co present the type 1 #diabetes (#T1D) Knowledge Portal, an open-access resource that aims to help address the challenge of translating #genetic discoveries into mechanistic insight Common Metabolic Diseases Knowledge Portal plos.io/3YrKuQt

We are hiring!!! Looking for a mouse technician and postdoc (#postdocposition). Fully paid salaries for 3 years, thanks to a recently funded project by CaixaResearch, to work in a project related to #PancreaticCancer!! Apply by 31/12/2023!! Please RT Job application links 👇

I'm super excited to share this recent preprint from Weston Elison and I 🎉🎉🎉 We characterize how variation in both phenotype and genotype impact gene regulation in pancreatic islets, and then use these findings to predict non-coding diabetes risk mechanisms!

Our paper describing variability in cell type-specific gene regulatory programs in the pancreas in physiology and relationship to diabetes risk using single cell multiome profiling multiome.isletgenomics.org Hannah Mummey Weston Elison biorxiv.org/content/10.110…