Integration of transcriptomic and proteomic data identifies biological functions in cell populations from human infant lung.

ABSTRACT: Systems biology uses computational approaches to integrate diverse data types to understand cell and organ behavior. Data derived from complementary technologies, for example transcriptomic and proteomic analyses, are providing new insights into development and disease. We compared mRNA and protein profiles from purified endothelial, epithelial, immune, and mesenchymal cells from normal human infant lung tissue. Signatures for each cell type were identified and compared at both mRNA and protein levels. Cell-specific biological processes and pathways were predicted by analysis of concordant and discordant RNA-protein pairs. Cell clustering and gene set enrichment comparisons identified shared versus unique processes associated with transcriptomic and/or proteomic data. Clear cell-cell corre

SUBMITTER: Du Y 

PROVIDER: S-EPMC6766718 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature