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Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy

BACKGROUND: Seizures are a common symptom in glioma patients, and they can cause brain dysfunction. However, the mechanism by which glioma-related epilepsy (GRE) causes alterations in brain networks remains elusive. OBJECTIVE: To investigate the potential pathogenic mechanism of GRE by analyzing the...

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Autores principales: Wang, Zhi-Bin, Qu, Jian, Xie, Pan, Yang, Zhi-Quan, Mao, Chen-Xue, Zhang, Ying, He, Zheng-Wen, Yang, Zhuan-Yi, Mao, Xiao-Yuan, Liu, Zhao-Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175475/
https://www.ncbi.nlm.nih.gov/pubmed/35676651
http://dx.doi.org/10.1186/s12864-022-08665-8
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author Wang, Zhi-Bin
Qu, Jian
Xie, Pan
Yang, Zhi-Quan
Mao, Chen-Xue
Zhang, Ying
He, Zheng-Wen
Yang, Zhuan-Yi
Mao, Xiao-Yuan
Liu, Zhao-Qian
author_facet Wang, Zhi-Bin
Qu, Jian
Xie, Pan
Yang, Zhi-Quan
Mao, Chen-Xue
Zhang, Ying
He, Zheng-Wen
Yang, Zhuan-Yi
Mao, Xiao-Yuan
Liu, Zhao-Qian
author_sort Wang, Zhi-Bin
collection PubMed
description BACKGROUND: Seizures are a common symptom in glioma patients, and they can cause brain dysfunction. However, the mechanism by which glioma-related epilepsy (GRE) causes alterations in brain networks remains elusive. OBJECTIVE: To investigate the potential pathogenic mechanism of GRE by analyzing the dynamic expression profiles of microRNA/ mRNA/ lncRNA in brain tissues of glioma patients. METHODS: Brain tissues of 16 patients with GRE and 9 patients with glioma without epilepsy (GNE) were collected. The total RNA was dephosphorylated, labeled, and hybridized to the Agilent Human miRNA Microarray, Release 19.0, 8 × 60 K. The cDNA was labeled and hybridized to the Agilent LncRNA + mRNA Human Gene Expression Microarray V3.0, 4 × 180 K. The raw data was extracted from hybridized images using Agilent Feature Extraction, and quantile normalization was performed using the Agilent GeneSpring. P-value < 0.05 and absolute fold change > 2 were considered the threshold of differential expression data. Data analyses were performed using R and Bioconductor. RESULTS: We found that 3 differentially expressed miRNAs (miR-10a-5p, miR-10b-5p, miR-629-3p), 6 differentially expressed lncRNAs (TTN-AS1, LINC00641, SNHG14, LINC00894, SNHG1, OIP5-AS1), and 49 differentially expressed mRNAs play a vitally critical role in developing GRE. The expression of GABARAPL1, GRAMD1B, and IQSEC3 were validated more than twofold higher in the GRE group than in the GNE group in the validation cohort. Pathways including ECM receptor interaction and long-term potentiation (LTP) may contribute to the disease’s progression. Meanwhile, We built a lncRNA-microRNA-Gene regulatory network with structural and functional significance. CONCLUSION: These findings can offer a fresh perspective on GRE-induced brain network changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08665-8.
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spelling pubmed-91754752022-06-09 Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy Wang, Zhi-Bin Qu, Jian Xie, Pan Yang, Zhi-Quan Mao, Chen-Xue Zhang, Ying He, Zheng-Wen Yang, Zhuan-Yi Mao, Xiao-Yuan Liu, Zhao-Qian BMC Genomics Research BACKGROUND: Seizures are a common symptom in glioma patients, and they can cause brain dysfunction. However, the mechanism by which glioma-related epilepsy (GRE) causes alterations in brain networks remains elusive. OBJECTIVE: To investigate the potential pathogenic mechanism of GRE by analyzing the dynamic expression profiles of microRNA/ mRNA/ lncRNA in brain tissues of glioma patients. METHODS: Brain tissues of 16 patients with GRE and 9 patients with glioma without epilepsy (GNE) were collected. The total RNA was dephosphorylated, labeled, and hybridized to the Agilent Human miRNA Microarray, Release 19.0, 8 × 60 K. The cDNA was labeled and hybridized to the Agilent LncRNA + mRNA Human Gene Expression Microarray V3.0, 4 × 180 K. The raw data was extracted from hybridized images using Agilent Feature Extraction, and quantile normalization was performed using the Agilent GeneSpring. P-value < 0.05 and absolute fold change > 2 were considered the threshold of differential expression data. Data analyses were performed using R and Bioconductor. RESULTS: We found that 3 differentially expressed miRNAs (miR-10a-5p, miR-10b-5p, miR-629-3p), 6 differentially expressed lncRNAs (TTN-AS1, LINC00641, SNHG14, LINC00894, SNHG1, OIP5-AS1), and 49 differentially expressed mRNAs play a vitally critical role in developing GRE. The expression of GABARAPL1, GRAMD1B, and IQSEC3 were validated more than twofold higher in the GRE group than in the GNE group in the validation cohort. Pathways including ECM receptor interaction and long-term potentiation (LTP) may contribute to the disease’s progression. Meanwhile, We built a lncRNA-microRNA-Gene regulatory network with structural and functional significance. CONCLUSION: These findings can offer a fresh perspective on GRE-induced brain network changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08665-8. BioMed Central 2022-06-08 /pmc/articles/PMC9175475/ /pubmed/35676651 http://dx.doi.org/10.1186/s12864-022-08665-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Zhi-Bin
Qu, Jian
Xie, Pan
Yang, Zhi-Quan
Mao, Chen-Xue
Zhang, Ying
He, Zheng-Wen
Yang, Zhuan-Yi
Mao, Xiao-Yuan
Liu, Zhao-Qian
Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy
title Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy
title_full Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy
title_fullStr Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy
title_full_unstemmed Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy
title_short Integrative analysis of expression profile indicates the ECM receptor and LTP dysfunction in the glioma-related epilepsy
title_sort integrative analysis of expression profile indicates the ecm receptor and ltp dysfunction in the glioma-related epilepsy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175475/
https://www.ncbi.nlm.nih.gov/pubmed/35676651
http://dx.doi.org/10.1186/s12864-022-08665-8
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