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

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 con...

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Main Authors: 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
Format: Article
Language:English
Published: SAGE Publishing 2020-11-01
Series:Pulmonary Circulation
Online Access:https://doi.org/10.1177/2045894020968531
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spelling doaj-e546fc30e21247319e378d3c525325af2020-12-09T02:33:21ZengSAGE PublishingPulmonary Circulation2045-89402020-11-011010.1177/2045894020968531Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genesCasey E. Romanoski0Xinshuai Qi1Shreya Sangam2Rebecca R. Vanderpool3Robert S. Stearman4Austin Conklin5Manuel Gonzalez-Garay6Franz Rischard7Ramon J. Ayon8Jian Wang9Tatum Simonson10Aleksandra Babicheva11Yinan Shi12Haiyang Tang13Ayako Makino14Yogendra Kanthi15Mark W. Geraci16Joe G.N. Garcia17Jason X.-J. Yuan18Ankit A. Desai19Department of Cellular and Molecular Medicine, College of Medicine, , Tucson, AZ, USADepartment of Medicine, College of Medicine, , Tucson, AZ, USADepartment of Medicine, Indiana University, Indianapolis, IN, USADepartment of Medicine, College of Medicine, , Tucson, AZ, USADepartment of Medicine, Indiana University, Indianapolis, IN, USADepartment of Cellular and Molecular Medicine, College of Medicine, , Tucson, AZ, USADepartment of Medicine, College of Medicine, , Tucson, AZ, USADepartment of Medicine, College of Medicine, , Tucson, AZ, USADepartment of Medicine, College of Medicine, , Tucson, AZ, USADepartment of Medicine, University of California, San Diego, La Jolla, CA, USADepartment of Medicine, University of California, San Diego, La Jolla, CA, USADepartment of Medicine, University of California, San Diego, La Jolla, CA, USADepartment of Medicine, Indiana University, Indianapolis, IN, USAState Key Laboratory of Respiratory Diseases, Guangzhou Institute of Respiratory Disease, , Guangzhou, ChinaDepartment of Physiology, College of Medicine, , Tucson, AZ, USADivision of Cardiovascular Medicine, Department of Internal Medicine, , Ann Arbor, Michigan, USADepartment of Medicine, Indiana University, Indianapolis, IN, USADepartment of Physiology, College of Medicine, , Tucson, AZ, USADepartment of Physiology, College of Medicine, , Tucson, AZ, USADepartment of Medicine, Indiana University, Indianapolis, IN, USAUsing 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.https://doi.org/10.1177/2045894020968531
collection DOAJ
language English
format Article
sources DOAJ
author 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
spellingShingle 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
Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes
Pulmonary Circulation
author_facet 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
author_sort Casey E. Romanoski
title Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes
title_short Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes
title_full Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes
title_fullStr Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes
title_full_unstemmed Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes
title_sort transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes
publisher SAGE Publishing
series Pulmonary Circulation
issn 2045-8940
publishDate 2020-11-01
description 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.
url https://doi.org/10.1177/2045894020968531
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