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Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus
Systemic lupus erythematosus (SLE) is a complex and heterogeneous autoimmune disease that the immune system attacks healthy cells and tissues. SLE is difficult to get a correct and timely diagnosis, which makes its morbidity and mortality rate very high. The pathogenesis of SLE remains to be elucida...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599929/ https://www.ncbi.nlm.nih.gov/pubmed/34804130 http://dx.doi.org/10.3389/fgene.2021.782005 |
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author | Zhang, Haihong Wang, Yanli Feng, Jinghui Wang, Shuya Wang, Yan Kong, Weisi Zhang, Zhiyi |
author_facet | Zhang, Haihong Wang, Yanli Feng, Jinghui Wang, Shuya Wang, Yan Kong, Weisi Zhang, Zhiyi |
author_sort | Zhang, Haihong |
collection | PubMed |
description | Systemic lupus erythematosus (SLE) is a complex and heterogeneous autoimmune disease that the immune system attacks healthy cells and tissues. SLE is difficult to get a correct and timely diagnosis, which makes its morbidity and mortality rate very high. The pathogenesis of SLE remains to be elucidated. To clarify the potential pathogenic mechanism of SLE, we performed an integrated analysis of two RNA-seq datasets of SLE. Differential expression analysis revealed that there were 4,713 and 2,473 differentially expressed genes, respectively, most of which were up-regulated. After integrating differentially expressed genes, we identified 790 common differentially expressed genes (DEGs). Gene functional enrichment analysis was performed and found that common differentially expressed genes were significantly enriched in some important immune-related biological processes and pathways. Our analysis provides new insights into a better understanding of the pathogenic mechanisms and potential candidate markers for systemic lupus erythematosus. |
format | Online Article Text |
id | pubmed-8599929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85999292021-11-19 Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus Zhang, Haihong Wang, Yanli Feng, Jinghui Wang, Shuya Wang, Yan Kong, Weisi Zhang, Zhiyi Front Genet Genetics Systemic lupus erythematosus (SLE) is a complex and heterogeneous autoimmune disease that the immune system attacks healthy cells and tissues. SLE is difficult to get a correct and timely diagnosis, which makes its morbidity and mortality rate very high. The pathogenesis of SLE remains to be elucidated. To clarify the potential pathogenic mechanism of SLE, we performed an integrated analysis of two RNA-seq datasets of SLE. Differential expression analysis revealed that there were 4,713 and 2,473 differentially expressed genes, respectively, most of which were up-regulated. After integrating differentially expressed genes, we identified 790 common differentially expressed genes (DEGs). Gene functional enrichment analysis was performed and found that common differentially expressed genes were significantly enriched in some important immune-related biological processes and pathways. Our analysis provides new insights into a better understanding of the pathogenic mechanisms and potential candidate markers for systemic lupus erythematosus. Frontiers Media S.A. 2021-11-04 /pmc/articles/PMC8599929/ /pubmed/34804130 http://dx.doi.org/10.3389/fgene.2021.782005 Text en Copyright © 2021 Zhang, Wang, Feng, Wang, Wang, Kong and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zhang, Haihong Wang, Yanli Feng, Jinghui Wang, Shuya Wang, Yan Kong, Weisi Zhang, Zhiyi Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus |
title | Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus |
title_full | Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus |
title_fullStr | Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus |
title_full_unstemmed | Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus |
title_short | Integrative Analysis for Elucidating Transcriptomics Landscapes of Systemic Lupus Erythematosus |
title_sort | integrative analysis for elucidating transcriptomics landscapes of systemic lupus erythematosus |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8599929/ https://www.ncbi.nlm.nih.gov/pubmed/34804130 http://dx.doi.org/10.3389/fgene.2021.782005 |
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