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

doi:10.1177/2045894020968531

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 journal › Article › peer-review

19 Scopus citations

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 language	English (US)
Journal	Pulmonary Circulation
Volume	10
Issue number	4
DOIs	https://doi.org/10.1177/2045894020968531
State	Published - 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© The Author(s) 2020.

Keywords

PBMC
RNAseq
pulmonary arterial hypertension
transcriptome profiling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1177/2045894020968531

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Romanoski, C. E., Qi, X., Sangam, S., Vanderpool, R. R., Stearman, R. S., Conklin, A., Gonzalez-Garay, M., Rischard, F., Ayon, R. J., Wang, J., Simonson, T., Babicheva, A., Shi, Y., Tang, H., Makino, A., Kanthi, Y., Geraci, M. W., Garcia, J. G. N., Yuan, J. X. J., & Desai, A. A. (2020). Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes. Pulmonary Circulation, 10(4). https://doi.org/10.1177/2045894020968531

Romanoski, CE, Qi, X, Sangam, S, Vanderpool, RR, Stearman, RS, Conklin, A, Gonzalez-Garay, M, Rischard, F, Ayon, RJ, Wang, J, Simonson, T, Babicheva, A, Shi, Y, Tang, H, Makino, A, Kanthi, Y, Geraci, MW, Garcia, JGN, Yuan, JXJ & Desai, AA 2020, 'Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes', Pulmonary Circulation, vol. 10, no. 4. https://doi.org/10.1177/2045894020968531

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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 = "Publisher Copyright: {\textcopyright} The Author(s) 2020.",

year = "2020",

doi = "10.1177/2045894020968531",

language = "English (US)",

volume = "10",

journal = "Pulmonary Circulation",

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T1 - Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes

AU - Romanoski, Casey E.

AU - Qi, Xinshuai

AU - Sangam, Shreya

AU - Vanderpool, Rebecca R.

AU - Stearman, Robert S.

AU - Conklin, Austin

AU - Gonzalez-Garay, Manuel

AU - Rischard, Franz

AU - Ayon, Ramon J.

AU - Wang, Jian

AU - Simonson, Tatum

AU - Babicheva, Aleksandra

AU - Shi, Yinan

AU - Tang, Haiyang

AU - Makino, Ayako

AU - Kanthi, Yogendra

AU - Geraci, Mark W.

AU - Garcia, Joe G.N.

AU - Yuan, Jason X.J.

AU - Desai, Ankit A.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - PBMC

KW - RNAseq

KW - pulmonary arterial hypertension

KW - transcriptome profiling

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

Abstract

Bibliographical note

Keywords

UN SDGs

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