Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes

Casey E. Romanoski, Xinshuai Qi, Shreya Sangam, Rebecca R. Vanderpool, Robert S. Stearman, Austin Conklin, Manuel Gonzalez-Garay, Franz Rischard, Ramon J. Ayon, Jian Wang, Tatum Simonson, Aleksandra Babicheva, Yinan Shi, Haiyang Tang, Ayako Makino, Yogendra Kanthi, Mark W. Geraci, Joe G.N. Garcia, Jason X.J. Yuan, Ankit A. Desai

Research output: Contribution to journalArticlepeer-review

Abstract

Using RNAseq, we identified a 61 gene-based circulating transcriptomic profile most correlated with four indices of pulmonary arterial hypertension severity. In an independent dataset, 13/61 (21%) genes were differentially expressed in lung tissues of pulmonary arterial hypertension cases versus controls, highlighting potentially novel candidate genes involved in pulmonary arterial hypertension development.

Original languageEnglish (US)
JournalPulmonary Circulation
Volume10
Issue number4
DOIs
StatePublished - 2020

Keywords

  • PBMC
  • RNAseq
  • pulmonary arterial hypertension
  • transcriptome profiling

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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