My research focuses on the molecular mechanisms underlying ischemic acute kidney injury (AKI) and hypertension-associated chronic kidney disease (CKD). By integrating genetic and pharmacologic approaches with multi-omics analyses, I investigate the signaling pathways and cellular processes that regulate renal injury and repair, aiming to uncover both fundamental mechanisms and potential therapeutic targets. Beyond research, I enjoy exploring innovative tools and software and developing data resources to support the scientific community.
Here, I am developing KidneyMet.Flux, a free and openly accessible platform that integrates kidney bulk and single-cell RNA-seq transcriptomic data with metabolomic datasets from major studies, all pre-analyzed for quick exploration. The resource allows researchers to efficiently examine complex datasets from different studies within a unified framework and accelerate discoveries in kidney biology and disease.
If there are specific datasets or types of information you would like to see integrated into KidneyMet.Flux, please let me know. I would be glad to incorporate them. My goal is to make this platform as useful as possible for the kidney research community. If you need analyzed files from any dataset displayed in KidneyMet.Flux for deeper exploration, feel free to reach out to me at rtiwari@usf.edu. I would be happy to share the files and help with data analysis.
