Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth

Abstract Preterm birth (PTB), defined as birth at less than 37 weeks of gestation, is a major determinant of neonatal mortality and morbidity. Early diagnosis of PTB risk followed by protective interventions are essential to reduce adverse neonatal outcomes. However, due to the redundant nature of t...

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Autores principales:	Jae Young Yoo, Do Young Hyeon, Yourae Shin, Soo Min Kim, Young-Ah You, Daye Kim, Daehee Hwang, Young Ju Kim
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/55e1200033c849b9a7799595112b38f6
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spelling	oai:doaj.org-article:55e1200033c849b9a7799595112b38f62021-12-02T13:57:48ZIntegrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth10.1038/s41598-021-81834-z2045-2322https://doaj.org/article/55e1200033c849b9a7799595112b38f62021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81834-zhttps://doaj.org/toc/2045-2322Abstract Preterm birth (PTB), defined as birth at less than 37 weeks of gestation, is a major determinant of neonatal mortality and morbidity. Early diagnosis of PTB risk followed by protective interventions are essential to reduce adverse neonatal outcomes. However, due to the redundant nature of the clinical conditions with other diseases, PTB-associated clinical parameters are poor predictors of PTB. To identify molecular signatures predictive of PTB with high accuracy, we performed mRNA sequencing analysis of PTB patients and full-term birth (FTB) controls in Korean population and identified differentially expressed genes (DEGs) as well as cellular pathways represented by the DEGs between PTB and FTB. By integrating the gene expression profiles of different ethnic groups from previous studies, we identified the core T-cell activation pathway associated with PTB, which was shared among all previous datasets, and selected three representative DEGs (CYLD, TFRC, and RIPK2) from the core pathway as mRNA signatures predictive of PTB. We confirmed the dysregulation of the candidate predictors and the core T-cell activation pathway in an independent cohort. Our results suggest that CYLD, TFRC, and RIPK2 are potentially reliable predictors for PTB.Jae Young YooDo Young HyeonYourae ShinSoo Min KimYoung-Ah YouDaye KimDaehee HwangYoung Ju KimNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jae Young Yoo Do Young Hyeon Yourae Shin Soo Min Kim Young-Ah You Daye Kim Daehee Hwang Young Ju Kim Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth
description	Abstract Preterm birth (PTB), defined as birth at less than 37 weeks of gestation, is a major determinant of neonatal mortality and morbidity. Early diagnosis of PTB risk followed by protective interventions are essential to reduce adverse neonatal outcomes. However, due to the redundant nature of the clinical conditions with other diseases, PTB-associated clinical parameters are poor predictors of PTB. To identify molecular signatures predictive of PTB with high accuracy, we performed mRNA sequencing analysis of PTB patients and full-term birth (FTB) controls in Korean population and identified differentially expressed genes (DEGs) as well as cellular pathways represented by the DEGs between PTB and FTB. By integrating the gene expression profiles of different ethnic groups from previous studies, we identified the core T-cell activation pathway associated with PTB, which was shared among all previous datasets, and selected three representative DEGs (CYLD, TFRC, and RIPK2) from the core pathway as mRNA signatures predictive of PTB. We confirmed the dysregulation of the candidate predictors and the core T-cell activation pathway in an independent cohort. Our results suggest that CYLD, TFRC, and RIPK2 are potentially reliable predictors for PTB.
format	article
author	Jae Young Yoo Do Young Hyeon Yourae Shin Soo Min Kim Young-Ah You Daye Kim Daehee Hwang Young Ju Kim
author_facet	Jae Young Yoo Do Young Hyeon Yourae Shin Soo Min Kim Young-Ah You Daye Kim Daehee Hwang Young Ju Kim
author_sort	Jae Young Yoo
title	Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth
title_short	Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth
title_full	Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth
title_fullStr	Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth
title_full_unstemmed	Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth
title_sort	integrative analysis of transcriptomic data for identification of t-cell activation-related mrna signatures indicative of preterm birth
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/55e1200033c849b9a7799595112b38f6
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Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth

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