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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2020-11-01
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Series: | Pulmonary Circulation |
Online Access: | https://doi.org/10.1177/2045894020968531 |
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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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