@article{c055e83145ca4c649ba091a999fc3e2f,
title = "Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes",
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.",
keywords = "PBMC, RNAseq, pulmonary arterial hypertension, transcriptome profiling",
author = "Romanoski, {Casey E.} and Xinshuai Qi and Shreya Sangam and Vanderpool, {Rebecca R.} and Stearman, {Robert S.} and Austin Conklin and Manuel Gonzalez-Garay and Franz Rischard and Ayon, {Ramon J.} and Jian Wang and Tatum Simonson and Aleksandra Babicheva and Yinan Shi and Haiyang Tang and Ayako Makino and Yogendra Kanthi and Geraci, {Mark W.} and Garcia, {Joe G.N.} and Yuan, {Jason X.J.} and Desai, {Ankit A.}",
note = "Funding Information: This work was supported in part by the grants from the National Heart, Lung and Blood Institute of the National Institutes of Health [R01HL136603 (AAD), R35HL135807 (JY), U01HL125208 (FR/JY), R00HL123485 (CER), R01HL147187 (CER), R24HL123767 (MWG), K08HL131993 and R01HL150392 (YK)] the Intramural Research Program of the NIH and NHLBI (YK), NHLBI T32 HL007249-44 (AC), ARCS Scholar Award (Phoenix Chapter) (AC), ABRC/ADHS18-198871 (RRV) and funding from the Cardiovascular Medical Research and Education Fund (MWG) and. We also want to acknowledge Dr. Zarema Arbieva and the Core Genomics Laboratory at the University of Illinois at Chicago for processing RNAseq samples.",
year = "2020",
doi = "10.1177/2045894020968531",
language = "English (US)",
volume = "10",
journal = "Pulmonary Circulation",
issn = "2045-8932",
publisher = "University of Chicago Press",
number = "4",
}