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

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

Keywords

PBMC
RNAseq
pulmonary arterial hypertension
transcriptome profiling

ASJC Scopus subject areas

Pulmonary and Respiratory Medicine

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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

Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes. / Romanoski, Casey E.; Qi, Xinshuai; Sangam, Shreya; Vanderpool, Rebecca R.; Stearman, Robert S.; Conklin, Austin; Gonzalez-Garay, Manuel; Rischard, Franz; Ayon, Ramon J.; Wang, Jian; Simonson, Tatum; Babicheva, Aleksandra; Shi, Yinan; Tang, Haiyang; Makino, Ayako; Kanthi, Yogendra; Geraci, Mark W.; Garcia, Joe G.N.; Yuan, Jason X.J.; Desai, Ankit A.

In: Pulmonary Circulation, Vol. 10, No. 4, 2020.

Research output: Contribution to journal › Article › peer-review

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

Romanoski, Casey E. ; Qi, Xinshuai ; Sangam, Shreya ; Vanderpool, Rebecca R. ; Stearman, Robert S. ; Conklin, Austin ; Gonzalez-Garay, Manuel ; Rischard, Franz ; Ayon, Ramon J. ; Wang, Jian ; Simonson, Tatum ; Babicheva, Aleksandra ; Shi, Yinan ; Tang, Haiyang ; Makino, Ayako ; Kanthi, Yogendra ; Geraci, Mark W. ; Garcia, Joe G.N. ; Yuan, Jason X.J. ; Desai, Ankit A. / Transcriptomic profiles in pulmonary arterial hypertension associate with disease severity and identify novel candidate genes. In: Pulmonary Circulation. 2020 ; Vol. 10, No. 4.

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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. 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.

N1 - 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. Publisher Copyright: © The Author(s) 2020.

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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ER -

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

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Keywords

ASJC Scopus subject areas

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