Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia

Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia Publisher Pubmed

Saei H¹ ; Govahi A² ; Abiri A³ ; Eghbali M⁴ ; Abiri M^{1, 5}

Show Affiliations

1. Department of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
2. Department of Medical Immunology, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3. Perinatology Department, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran
4. Department of Medical Genetics, Tehran University of Medical Sciences, Tehran, Iran
5. Shahid Akbarabadi Clinical Research Development Unit (ShACRDU), Iran University of Medical Sciences, Tehran, Iran

Source: Pregnancy Hypertension Published:2021

Abstract

Preeclampsia (PE) is categorized as a pregnancy-related hypertensive disorder and is a serious concern in pregnancies. Several factors, including genetic factors (placenta gene expression, and imprinting), oxidative stress, the inaccurate immune response of the mother, and the environmental factors are responsible for PE development, but still, the exact mechanism of the pathogenesis has remained unknown. The main aim of the present study is to identify the gene expression signature in placenta tissue, to unveil disease etiology mechanisms. The GEO, PubMed, and ArrayExpress databases have selected to identify gene expression datasets on placenta samples of both preeclampsia and the normotensive controls. A comprehensive gene expression meta-analysis of fourteen publicly available microarray data of preeclampsia disease has performed to identify gene expression signature and responsible biological pathways and processes. Using two different meta-analysis pipeline (in-house and INMEX) we have identified a total of 1234 differentially expressed genes (DEGs) with in-house method, including 713 overexpressed and 356 under-expressed genes whereas 272 DEGs (131 over and 141 under-expressed) have identified with INMEX, across PEs and healthy controls. Comprehensive functional enrichment and pathway analysis was performed by EnrichR library, whic revealed “Asparagine N-linked glycosylation Homo sapiens”, “Nef and signal transduction”, “Hemostasis”, and “immune system” among the most enriched terms. The present study sets out to explain a novel database of candidate genetic markers and biological pathways that play a critical role in PE development, which might aid in the identification of diagnostic, prognostic, and therapeutic informative molecules. © 2021 International Society for the Study of Hypertension in Pregnancy

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Mahdi Mahmoudi (3)

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Style	Citing Format
MLA	Saei H, et al.. "Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia." Pregnancy Hypertension, vol. 25, no. , 2021, pp. 91-102.
APA	Saei H, Govahi A, Abiri A, Eghbali M, Abiri M (2021). Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia. Pregnancy Hypertension, 25(), 91-102.
Chicago	Saei H, Govahi A, Abiri A, Eghbali M, Abiri M. "Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia." Pregnancy Hypertension 25, no. (2021): 91-102.
Harvard	Saei H et al. (2021) 'Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia', Pregnancy Hypertension, 25(), pp. 91-102.
Vancouver	Saei H, Govahi A, Abiri A, Eghbali M, Abiri M. Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia. Pregnancy Hypertension. 2021;25():91-102.
BibTex	@article{ author = {Saei H and Govahi A and Abiri A and Eghbali M and Abiri M}, title = {Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia}, journal = {Pregnancy Hypertension}, volume = {25}, number = {}, pages = {91-102}, year = {2021} }
RIS	TY - JOUR AU - Saei H AU - Govahi A AU - Abiri A AU - Eghbali M AU - Abiri M TI - Comprehensive Transcriptome Mining Identified the Gene Expression Signature and Differentially Regulated Pathways of the Late-Onset Preeclampsia JO - Pregnancy Hypertension VL - 25 IS - SP - 91 EP - 102 PY - 2021 ER -

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