Wuming Gong

Assistant Professor of Medicine

Research Summary

I have a broad background in cardiovascular developmental biology, bioinformatics and computational biology, with specific training and expertise in database constructions, data analysis and algorithm development. I was trained in genetics and genomics, and have more than ten years of experience on bioinformatics and computational biology, including siRNA design, peptide array design, database construction and predicting development related genes. After I joined the Lillehei Heart Institute, I mainly focused on developing algorithms for single cell RNA-seq analysis including tools such as dpath (prediction of cell differentiation), TCM (visualization of temporal scRNA-seq data), DrImpute (imputing dropout events in the scRNA-seq data), DCLEAR (CRSPR/cas9-based single cell lineage reconstruction), and inferring gene regulatory networks from multi-dimensional omics- data. In addition, I have successfully collaborated with other investigators on the characterization of novel genes, microRNAs, long noncoding RNAs (lncRNAs) that have important functions in various biological processes. In addition, my laboratory has expertise using and analyzing large datasets focused on proteomics, metabolomics and transcriptomics. Combining the large scale genomic approaches with novel machine learning methods, we have recently deciphered the cell populations and defining pathways that are critical for hemato-endothelial development, cardiogenesis and cardiac regeneration. We will further employ these computational biological approaches to amplify and accelerate the research in heart development and cardiovascular disease.