An integrated analysis of hypoxic–ischemic encephalopathy‐related cell sequencing outcomes via genes network construction

Abstract Hypoxic–ischemic encephalopathy (HIE) is one of the main causes of morbidity and severe neurological deficits in neonates. This study aimed to find core genes and their potential roles in HIE with the help of single‐cell sequencing (SCS) technology and genes network construction. We collect...

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Main Authors: Hong‐Su Zhou, Ting‐Bao Chen
Format: Article
Language:English
Published: Wiley-VCH 2022-03-01
Series:Ibrain
Subjects:
Online Access:https://doi.org/10.1002/ibra.12025
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author Hong‐Su Zhou
Ting‐Bao Chen
author_facet Hong‐Su Zhou
Ting‐Bao Chen
author_sort Hong‐Su Zhou
collection DOAJ
description Abstract Hypoxic–ischemic encephalopathy (HIE) is one of the main causes of morbidity and severe neurological deficits in neonates. This study aimed to find core genes and their potential roles in HIE with the help of single‐cell sequencing (SCS) technology and genes network construction. We collected and screened an HIE genes data set from the Pubmed database to analyze differential expression, and the differential values of genes were ≥3 or ≤−3 in gene expression. We constructed a protein–protein interaction (PPI) network by the string, which was also verified by Cytoscape 3.8.2. Functional enrichment analysis was performed to determine the characteristics and pathways of the core genes. We examined two meaningful papers and integrated all genes by SCS, which were classified into 12,093 genes without duplicates, 217 shared genes, and 11,876 distinct genes. Among 217 genes, the signal transducer and activator of transcription (STAT) family was the most targeted gene in the PPI network. Moreover, Gene Ontology and Kyoto encyclopedia of genes and genome analysis showed that the process in response to virus and the JAK‐STAT signaling pathway play significant roles in HIE. We also found that 54 screened genes were highly expressed, while three genes (B2M, VIM, and MRPS30) were different in the heat map and differential genes expression exhibition. VIM, as an essential portion of the brain's cytoskeleton, is closely linked to STAT and neurologic development. From the findings of SCS and bioinformatics predictive analytics model, our outcomes provided a better understanding of the roles of STAT, the JAK‐STAT signaling pathway, and VIM, which can pave an alternative avenue for further studies on HIE progression.
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spelling doaj.art-a0c8f184e5584eb0abd562f1ddb23c3b2022-12-22T03:23:57ZengWiley-VCHIbrain2769-27952022-03-0181789210.1002/ibra.12025An integrated analysis of hypoxic–ischemic encephalopathy‐related cell sequencing outcomes via genes network constructionHong‐Su Zhou0Ting‐Bao Chen1Department of Laboratory Zoology Kunming Medical University Kunming Yunnan ChinaDepartment of Laboratory Zoology Kunming Medical University Kunming Yunnan ChinaAbstract Hypoxic–ischemic encephalopathy (HIE) is one of the main causes of morbidity and severe neurological deficits in neonates. This study aimed to find core genes and their potential roles in HIE with the help of single‐cell sequencing (SCS) technology and genes network construction. We collected and screened an HIE genes data set from the Pubmed database to analyze differential expression, and the differential values of genes were ≥3 or ≤−3 in gene expression. We constructed a protein–protein interaction (PPI) network by the string, which was also verified by Cytoscape 3.8.2. Functional enrichment analysis was performed to determine the characteristics and pathways of the core genes. We examined two meaningful papers and integrated all genes by SCS, which were classified into 12,093 genes without duplicates, 217 shared genes, and 11,876 distinct genes. Among 217 genes, the signal transducer and activator of transcription (STAT) family was the most targeted gene in the PPI network. Moreover, Gene Ontology and Kyoto encyclopedia of genes and genome analysis showed that the process in response to virus and the JAK‐STAT signaling pathway play significant roles in HIE. We also found that 54 screened genes were highly expressed, while three genes (B2M, VIM, and MRPS30) were different in the heat map and differential genes expression exhibition. VIM, as an essential portion of the brain's cytoskeleton, is closely linked to STAT and neurologic development. From the findings of SCS and bioinformatics predictive analytics model, our outcomes provided a better understanding of the roles of STAT, the JAK‐STAT signaling pathway, and VIM, which can pave an alternative avenue for further studies on HIE progression.https://doi.org/10.1002/ibra.12025bioinformaticshypoxic–ischemic encephalopathyJAK‐STAT signaling pathwaysingle‐cell sequencingSTAT
spellingShingle Hong‐Su Zhou
Ting‐Bao Chen
An integrated analysis of hypoxic–ischemic encephalopathy‐related cell sequencing outcomes via genes network construction
Ibrain
bioinformatics
hypoxic–ischemic encephalopathy
JAK‐STAT signaling pathway
single‐cell sequencing
STAT
title An integrated analysis of hypoxic–ischemic encephalopathy‐related cell sequencing outcomes via genes network construction
title_full An integrated analysis of hypoxic–ischemic encephalopathy‐related cell sequencing outcomes via genes network construction
title_fullStr An integrated analysis of hypoxic–ischemic encephalopathy‐related cell sequencing outcomes via genes network construction
title_full_unstemmed An integrated analysis of hypoxic–ischemic encephalopathy‐related cell sequencing outcomes via genes network construction
title_short An integrated analysis of hypoxic–ischemic encephalopathy‐related cell sequencing outcomes via genes network construction
title_sort integrated analysis of hypoxic ischemic encephalopathy related cell sequencing outcomes via genes network construction
topic bioinformatics
hypoxic–ischemic encephalopathy
JAK‐STAT signaling pathway
single‐cell sequencing
STAT
url https://doi.org/10.1002/ibra.12025
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