Cargando…

Analysis of gene expression profiles in two spinal cord injury models

OBJECTIVES: To analyze the changes of gene expression at different timepoints after spinal cord injury (SCI) with tenth segment thoracic injury. METHODS: Two SCI models, the complete paraplegia (H) and Allen’s strike (D) methods were applied to induce SCI in rats, and transcriptome sequencing was pe...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuan, Haifeng, Zhang, Bi, Ma, Junchi, Zhang, Yufei, Tuo, Yifan, Li, Xusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400253/
https://www.ncbi.nlm.nih.gov/pubmed/35999613
http://dx.doi.org/10.1186/s40001-022-00785-x
_version_ 1784772703129960448
author Yuan, Haifeng
Zhang, Bi
Ma, Junchi
Zhang, Yufei
Tuo, Yifan
Li, Xusheng
author_facet Yuan, Haifeng
Zhang, Bi
Ma, Junchi
Zhang, Yufei
Tuo, Yifan
Li, Xusheng
author_sort Yuan, Haifeng
collection PubMed
description OBJECTIVES: To analyze the changes of gene expression at different timepoints after spinal cord injury (SCI) with tenth segment thoracic injury. METHODS: Two SCI models, the complete paraplegia (H) and Allen’s strike (D) methods were applied to induce SCI in rats, and transcriptome sequencing was performed 1, 3, 7, 14, 56, and 70 days after SCI, respectively. Principal component analysis, differentially expressed gene analysis, and hierarchical clustering analysis were applied to analyze the differentially expressed genes (DEGs). Gene Ontology GO enrichment analysis, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and Gene Set Enrichment Analysis revealed the pathway of gene enrichment. RESULTS: There were 1,907, 3,120, 3,728, 978, 2,319, and 3,798 DEGs in the complete paraplegia group and 2,380, 878, 1,543, 6,040, 1,945, and 3,850 DEGs in the Allen’s strike method group and after SCI at 1, 3, 7, 14, 56, and 70 days, respectively. The transcriptome contours of D1, H1, D3, and H14 were clustered with C; the H56, D56, H70, and D70 transcriptome contours were similar and clustered together. H3, D7, and H7 were clustered together, and D14 was clustered separately. The transcriptome differences of the two SCI models were mainly concentrated during the first 2 weeks after SCI. The DEGs after SCI in the complete paraplegia group were more concentrated. Most of the early transcriptional regulation stabilized within 2 weeks after injury. CONCLUSIONS: There were DEGs between the two SCI models. Through the gene changes and pathway enrichment of the entire time period after SCI, the molecular mechanism of SCI repair was revealed in depth, which provided a reference for SCI treatment in the future.
format Online
Article
Text
id pubmed-9400253
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-94002532022-08-25 Analysis of gene expression profiles in two spinal cord injury models Yuan, Haifeng Zhang, Bi Ma, Junchi Zhang, Yufei Tuo, Yifan Li, Xusheng Eur J Med Res Research OBJECTIVES: To analyze the changes of gene expression at different timepoints after spinal cord injury (SCI) with tenth segment thoracic injury. METHODS: Two SCI models, the complete paraplegia (H) and Allen’s strike (D) methods were applied to induce SCI in rats, and transcriptome sequencing was performed 1, 3, 7, 14, 56, and 70 days after SCI, respectively. Principal component analysis, differentially expressed gene analysis, and hierarchical clustering analysis were applied to analyze the differentially expressed genes (DEGs). Gene Ontology GO enrichment analysis, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and Gene Set Enrichment Analysis revealed the pathway of gene enrichment. RESULTS: There were 1,907, 3,120, 3,728, 978, 2,319, and 3,798 DEGs in the complete paraplegia group and 2,380, 878, 1,543, 6,040, 1,945, and 3,850 DEGs in the Allen’s strike method group and after SCI at 1, 3, 7, 14, 56, and 70 days, respectively. The transcriptome contours of D1, H1, D3, and H14 were clustered with C; the H56, D56, H70, and D70 transcriptome contours were similar and clustered together. H3, D7, and H7 were clustered together, and D14 was clustered separately. The transcriptome differences of the two SCI models were mainly concentrated during the first 2 weeks after SCI. The DEGs after SCI in the complete paraplegia group were more concentrated. Most of the early transcriptional regulation stabilized within 2 weeks after injury. CONCLUSIONS: There were DEGs between the two SCI models. Through the gene changes and pathway enrichment of the entire time period after SCI, the molecular mechanism of SCI repair was revealed in depth, which provided a reference for SCI treatment in the future. BioMed Central 2022-08-23 /pmc/articles/PMC9400253/ /pubmed/35999613 http://dx.doi.org/10.1186/s40001-022-00785-x 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
Yuan, Haifeng
Zhang, Bi
Ma, Junchi
Zhang, Yufei
Tuo, Yifan
Li, Xusheng
Analysis of gene expression profiles in two spinal cord injury models
title Analysis of gene expression profiles in two spinal cord injury models
title_full Analysis of gene expression profiles in two spinal cord injury models
title_fullStr Analysis of gene expression profiles in two spinal cord injury models
title_full_unstemmed Analysis of gene expression profiles in two spinal cord injury models
title_short Analysis of gene expression profiles in two spinal cord injury models
title_sort analysis of gene expression profiles in two spinal cord injury models
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400253/
https://www.ncbi.nlm.nih.gov/pubmed/35999613
http://dx.doi.org/10.1186/s40001-022-00785-x
work_keys_str_mv AT yuanhaifeng analysisofgeneexpressionprofilesintwospinalcordinjurymodels
AT zhangbi analysisofgeneexpressionprofilesintwospinalcordinjurymodels
AT majunchi analysisofgeneexpressionprofilesintwospinalcordinjurymodels
AT zhangyufei analysisofgeneexpressionprofilesintwospinalcordinjurymodels
AT tuoyifan analysisofgeneexpressionprofilesintwospinalcordinjurymodels
AT lixusheng analysisofgeneexpressionprofilesintwospinalcordinjurymodels