Dan Skelly
45 posts
@genomequant
Data science, systems genetics/genomics, statgen, QTL, single-cell gene expression. I work @jacksonlab but views are my own.
New Short Article online now CellStemCell: Mapping the Effects of Genetic Variation on Chromatin State and Gene Expression Reveals Loci That Control Ground State Pluripotency zpr.io/HZxCS
Which mouse multiparental population is right for your study? The Collaborative Cross inbred strains, their F1 hybrids, or the Diversity Outbred population biorxiv.org/cgi/content/sh… #bioRxiv
Single-cell transcriptomics identifies two previously undescribed cardiac fibroblast populations that are key drivers of cardiac fibrosis ow.ly/29Yb50BTEqA #AHAJournals @Alex_R_Pinto @genomequant @pinto_lab @BakerResearchAu @jacksonlab @PAM_latrobe
Genotype-free individual genome reconstruction of Multiparental Population Models by RNA sequencing data biorxiv.org/cgi/content/sh… #bioRxiv
New Short Article online now CellStemCell: Mapping the Effects of Genetic Variation on Chromatin State and Gene Expression Reveals Loci That Control Ground State Pluripotency zpr.io/HZxCS
Our paper is officially out! @CellReports Dynamic Interstitial Cell Response during Myocardial Infarction Predicts Resilience to Rupture in Genetically Diverse Mice cell.com/cell-reports/f… @jacksonlab,@genomequant, @nadia_rosenthal, @vivekepsilon, #SingleCell
Excited to see (and share) the final version of this work with @bryancquach! From the labs of @WilliamValdar, Ivan Rusyn, and Terry Furey. #PLOSGenetics: Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissu ... dx.plos.org/10.1371/journa…
THRILLED to share our two NEW computational toolkits called CELLEX and CELLECT for integrating GWAS and scRNA-seq to prioritize etiologic cell-types underlying traits and diseases. Tweetorial 1/12 biorxiv.org/content/10.110…
Our latest work to help better understand cellular drivers of cardiac fibrosis and hypertrophy. A fantastic team effort by an excellent group of people from @BakerResearchAu @PAM_latrobe @jacksonlab @genomequant. biorxiv.org/content/10.110…
[1/n] Multiple bulk RNA-seq studies showed that allelic imbalance (AI) is pretty common. It is subtle in many genes, but sometimes it is extreme as in imprinted or X-inactivated genes. We are curious to see what AI would look like at single-cell resolution.
The role of #inflammation in health and disease is not well understood. @ChanZuckerberg’s new call for applications will support science teams to collaborate + apply new tools to gain greater insight into inflammatory diseases bit.ly/2NsjFJ9
