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Tracing the cell-type-specific modules of immune responses during COVID-19 progression using scDisProcema

COVID-19 has caused severe threats to lives and damage to property worldwide. The immunopathology of the disease is of particular concern. Currently, researchers have used gene co-expression networks (GCNs) to deepen the study of molecular mechanisms of immune responses to COVID-19. However, most ef...

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Detalles Bibliográficos
Autores principales: Li, Anyao, Yang, Jihong, Qian, Jingyang, Shao, Xin, Liao, Jie, Lu, Xiaoyan, Fan, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250167/
https://www.ncbi.nlm.nih.gov/pubmed/35811838
http://dx.doi.org/10.1016/j.csbj.2022.06.066
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author Li, Anyao
Yang, Jihong
Qian, Jingyang
Shao, Xin
Liao, Jie
Lu, Xiaoyan
Fan, Xiaohui
author_facet Li, Anyao
Yang, Jihong
Qian, Jingyang
Shao, Xin
Liao, Jie
Lu, Xiaoyan
Fan, Xiaohui
author_sort Li, Anyao
collection PubMed
description COVID-19 has caused severe threats to lives and damage to property worldwide. The immunopathology of the disease is of particular concern. Currently, researchers have used gene co-expression networks (GCNs) to deepen the study of molecular mechanisms of immune responses to COVID-19. However, most efforts have not fully explored dynamic changes of cell-type-specific molecular networks in the disease process. This study proposes a GCN construction pipeline named single-cell Disease Progression cellular module analysis (scDisProcema), which can trace dynamic changes of immune system response during disease progression using single-cell data. Here, scDisProcema considers changes in cell fate and expression patterns during disease development, identifying gene modules responsible for different immune cells. The hub genes are screened for each module by the specific expression level and the intercellular connectivity of modules. Based on functional items enriched by each gene module, we elucidate the biological processes of different cells involved in disease development and explain the molecular mechanisms underlying the process of cell depletion or proliferation caused by disease. Compared with traditional WGCNA methods, scDisProcema can make more convenient use of the heterogeneity information provided by scRNA-seq data and has great potential in exploring molecular changes during disease progression and organ development.
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spelling pubmed-92501672022-07-05 Tracing the cell-type-specific modules of immune responses during COVID-19 progression using scDisProcema Li, Anyao Yang, Jihong Qian, Jingyang Shao, Xin Liao, Jie Lu, Xiaoyan Fan, Xiaohui Comput Struct Biotechnol J Research Article COVID-19 has caused severe threats to lives and damage to property worldwide. The immunopathology of the disease is of particular concern. Currently, researchers have used gene co-expression networks (GCNs) to deepen the study of molecular mechanisms of immune responses to COVID-19. However, most efforts have not fully explored dynamic changes of cell-type-specific molecular networks in the disease process. This study proposes a GCN construction pipeline named single-cell Disease Progression cellular module analysis (scDisProcema), which can trace dynamic changes of immune system response during disease progression using single-cell data. Here, scDisProcema considers changes in cell fate and expression patterns during disease development, identifying gene modules responsible for different immune cells. The hub genes are screened for each module by the specific expression level and the intercellular connectivity of modules. Based on functional items enriched by each gene module, we elucidate the biological processes of different cells involved in disease development and explain the molecular mechanisms underlying the process of cell depletion or proliferation caused by disease. Compared with traditional WGCNA methods, scDisProcema can make more convenient use of the heterogeneity information provided by scRNA-seq data and has great potential in exploring molecular changes during disease progression and organ development. Research Network of Computational and Structural Biotechnology 2022-07-02 /pmc/articles/PMC9250167/ /pubmed/35811838 http://dx.doi.org/10.1016/j.csbj.2022.06.066 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Li, Anyao
Yang, Jihong
Qian, Jingyang
Shao, Xin
Liao, Jie
Lu, Xiaoyan
Fan, Xiaohui
Tracing the cell-type-specific modules of immune responses during COVID-19 progression using scDisProcema
title Tracing the cell-type-specific modules of immune responses during COVID-19 progression using scDisProcema
title_full Tracing the cell-type-specific modules of immune responses during COVID-19 progression using scDisProcema
title_fullStr Tracing the cell-type-specific modules of immune responses during COVID-19 progression using scDisProcema
title_full_unstemmed Tracing the cell-type-specific modules of immune responses during COVID-19 progression using scDisProcema
title_short Tracing the cell-type-specific modules of immune responses during COVID-19 progression using scDisProcema
title_sort tracing the cell-type-specific modules of immune responses during covid-19 progression using scdisprocema
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250167/
https://www.ncbi.nlm.nih.gov/pubmed/35811838
http://dx.doi.org/10.1016/j.csbj.2022.06.066
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