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

Integration of transcriptomic and proteomic data identifies biological functions in cell populations from human infant lung. Am J Physiol Lung Cell Mol Physiol. 2019 Jul 03;: Authors: Du Y, Clair GC, Al Alam D, Danopoulos S, Schnell D, Kitzmiller JA, Misra RS, Bhattacharya S, Warburton D, Mariani TJ, Pryhuber GS, Whitsett JA, Ansong C, Xu Y 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 correlations between mRNA and protein data were obtained from each cell type. Approximately 40% of RNA-protein pairs were coherently expressed. While the correlation between RNA and their protein products was relatively low (Spearman rank coefficient rs ~0.4), cell specific signature genes involved in functio...
Source: American Journal of Physiology. Lung Cellular and Molecular Physiology - Category: Cytology Authors: Tags: Am J Physiol Lung Cell Mol Physiol Source Type: research