This work was done in collaboration with the Ren Lab, @CEpigenomics, David Brenner and Tatiana Kisseleva and their group, and the Wang lab at WashU and funded by fNIH, NIH, and Sanford Stem Cell Institute. Check out our work and let us know what you think!
https://t.co/o8Ijd1qG6U
The preprint of our liver paper is up! We profiled 86 human livers with single cell sequencing assays for gene expression, chromatin accessibility, histone modification, and chromatin contact to understand liver gene regulation and fatty liver disease. https://t.co/o8Ijd1qG6U
We also profiled 7 livers using VisiumHD spatial scRNA-seq and identified 5 subtypes of hepatocytes including the 3 canonical zones. A fibrosis-assocaited subtype resides closest to the fibrotic niche and interacts with collagen through a distinct ligand-receptor interaction.
I'm excited to be presenting our single cell multiomics analysis of metabolic dysfunction-associated steatohepatitis at #4DNucleomeDay 4DNsc4All on Friday, May 9 hosted by @CEpigenomics. Register now for free at https://t.co/mzgtp6DY0H
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 https://t.co/wJqIDXi6qA @hmmummey@WestonElison https://t.co/sFjiy3lzrq
Our new paper describing genetic association and improved fine-mapping of T1D, and a new model to predict T1D from genetics that also reveals novel interactions and disease heterogeneity @CarolynMcgrail7@CarterCompBio https://t.co/cfqKqFCZzI
We asked whether population-scale plasma proteomics could help us understand T1D disease mechanisms and discover novel biomarkers. Our findings are out now! https://t.co/vcHGYwILXy @kjgaulton /🧵
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 https://t.co/1unf3367te @kjgaulton 🧵... 1/n
https://t.co/e0GMWZzw2a