Here are some potential rotation projects for people interested in rotating in the lab. Please contact me if any of these pique your interest and know that this is not an exhaustive list!
More Computational
Single Cell Gene Networks
Gene co-expression networks help us to understand how groups of genes that vary between individuals act in concert with one another to create observable phenotypic differences. We have successfully used these approaches to identify several key genes that play roles in heart failure as well as gain a deeper understanding of the pathways that are activated during heart failure progression.
Just as we can use differences across a population to explore gene networks, so too can we use differences across a tissue – how do variations in cellular neighborhoods and proximity to stressors lead to phenotypic differences? How can we leverage the explosion of single cell data to improve our co-expression networks?
Cell-Type Aware GWAS, Multi-Background RNAseq, Cell-Type Networks, and other Systems Genetics projects in the Collaborative Cross and Joint CC-HMDP Cohorts
We have a massive trove of data in the form of the Collaborative Cross Heart Failure Study that we have barely touched at this point, but we have TONS of ideas of ways in which these data could be studied. A further open question is how to integrate our new CC data with the ‘old’ HMDP data.
More Bench
Still working on these. Come talk to me and lets see if we can come up with something together!