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Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis

Sepsis is a life-threatening condition characterized by a harmful host response to infection with organ dysfunction. Annually about 20 million people are dead owing to sepsis and its mortality rates is as high as 20%. However, no studies have been carried out to investigate sepsis from the system bi...

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Autores principales: Liu, Xiaojun, Hong, Chengying, Jiang, Yichun, Li, Wei, Chen, Youlian, Ma, Yonghui, Zhao, Pengfei, Li, Tiyuan, Chen, Huaisheng, Liu, Xueyan, Cheng, Lixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364430/
https://www.ncbi.nlm.nih.gov/pubmed/37488493
http://dx.doi.org/10.1186/s12864-023-09460-9
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author Liu, Xiaojun
Hong, Chengying
Jiang, Yichun
Li, Wei
Chen, Youlian
Ma, Yonghui
Zhao, Pengfei
Li, Tiyuan
Chen, Huaisheng
Liu, Xueyan
Cheng, Lixin
author_facet Liu, Xiaojun
Hong, Chengying
Jiang, Yichun
Li, Wei
Chen, Youlian
Ma, Yonghui
Zhao, Pengfei
Li, Tiyuan
Chen, Huaisheng
Liu, Xueyan
Cheng, Lixin
author_sort Liu, Xiaojun
collection PubMed
description Sepsis is a life-threatening condition characterized by a harmful host response to infection with organ dysfunction. Annually about 20 million people are dead owing to sepsis and its mortality rates is as high as 20%. However, no studies have been carried out to investigate sepsis from the system biology point of view, as previous research predominantly focused on individual genes without considering their interactions and associations. Here, we conducted a comprehensive exploration of genome-wide expression alterations in both mRNAs and long non-coding RNAs (lncRNAs) in sepsis, using six microarray datasets. Co-expression networks were conducted to identify mRNA and lncRNA modules, respectively. Comparing these sepsis modules with normal modules, we observed a homogeneous expression pattern within the mRNA/lncRNA members, with the majority of them displaying consistent expression direction. Moreover, we identified consistent modules across diverse datasets, consisting of 20 common mRNA members and two lncRNAs, namely CHRM3-AS2 and PRKCQ-AS1, which are potential regulators of sepsis. Our results reveal that the up-regulated common mRNAs are mainly involved in the processes of neutrophil mediated immunity, while the down-regulated mRNAs and lncRNAs are significantly overrepresented in T-cell mediated immunity functions. This study sheds light on the co-expression patterns of mRNAs and lncRNAs in sepsis, providing a novel perspective and insight into the sepsis transcriptome, which may facilitate the exploration of candidate therapeutic targets and molecular biomarkers for sepsis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09460-9.
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spelling pubmed-103644302023-07-25 Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis Liu, Xiaojun Hong, Chengying Jiang, Yichun Li, Wei Chen, Youlian Ma, Yonghui Zhao, Pengfei Li, Tiyuan Chen, Huaisheng Liu, Xueyan Cheng, Lixin BMC Genomics Research Sepsis is a life-threatening condition characterized by a harmful host response to infection with organ dysfunction. Annually about 20 million people are dead owing to sepsis and its mortality rates is as high as 20%. However, no studies have been carried out to investigate sepsis from the system biology point of view, as previous research predominantly focused on individual genes without considering their interactions and associations. Here, we conducted a comprehensive exploration of genome-wide expression alterations in both mRNAs and long non-coding RNAs (lncRNAs) in sepsis, using six microarray datasets. Co-expression networks were conducted to identify mRNA and lncRNA modules, respectively. Comparing these sepsis modules with normal modules, we observed a homogeneous expression pattern within the mRNA/lncRNA members, with the majority of them displaying consistent expression direction. Moreover, we identified consistent modules across diverse datasets, consisting of 20 common mRNA members and two lncRNAs, namely CHRM3-AS2 and PRKCQ-AS1, which are potential regulators of sepsis. Our results reveal that the up-regulated common mRNAs are mainly involved in the processes of neutrophil mediated immunity, while the down-regulated mRNAs and lncRNAs are significantly overrepresented in T-cell mediated immunity functions. This study sheds light on the co-expression patterns of mRNAs and lncRNAs in sepsis, providing a novel perspective and insight into the sepsis transcriptome, which may facilitate the exploration of candidate therapeutic targets and molecular biomarkers for sepsis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09460-9. BioMed Central 2023-07-24 /pmc/articles/PMC10364430/ /pubmed/37488493 http://dx.doi.org/10.1186/s12864-023-09460-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Liu, Xiaojun
Hong, Chengying
Jiang, Yichun
Li, Wei
Chen, Youlian
Ma, Yonghui
Zhao, Pengfei
Li, Tiyuan
Chen, Huaisheng
Liu, Xueyan
Cheng, Lixin
Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis
title Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis
title_full Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis
title_fullStr Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis
title_full_unstemmed Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis
title_short Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis
title_sort co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364430/
https://www.ncbi.nlm.nih.gov/pubmed/37488493
http://dx.doi.org/10.1186/s12864-023-09460-9
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