Cargando…
Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure
Stress has become a universal biological phenomenon in the body, which leads to pathophysiological changes. However, the molecular network interactions between endoplasmic reticulum (ER) stress and ferroptosis under stressful conditions are not clear. For this purpose, we screened the gene expressio...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079382/ https://www.ncbi.nlm.nih.gov/pubmed/37035018 http://dx.doi.org/10.1155/2023/9979291 |
_version_ | 1785020717086015488 |
---|---|
author | Zhu, Weihao Li, Yingmin Li, Meili Liu, Jingmin Zhang, Guowei Ma, Xiaoying Shi, Weibo Cong, Bin |
author_facet | Zhu, Weihao Li, Yingmin Li, Meili Liu, Jingmin Zhang, Guowei Ma, Xiaoying Shi, Weibo Cong, Bin |
author_sort | Zhu, Weihao |
collection | PubMed |
description | Stress has become a universal biological phenomenon in the body, which leads to pathophysiological changes. However, the molecular network interactions between endoplasmic reticulum (ER) stress and ferroptosis under stressful conditions are not clear. For this purpose, we screened the gene expression profile of GSE173795 for intersection with ferroptosis genes and screened 68 differentially expressed genes (DEGs) (63 up-regulated, 5 down-regulated), mainly related to lipid and atherosclerosis, autophagy—animal, mitophagy—animal, focal adhesion, DNA replication, proteasome, oocyte meiosis, toll-like receptor signaling pathway, cell cycle, etc. Immune infiltration analysis revealed that stress resulted in decreased B cells memory, T cells CD8 and T cells CD4 memory resting, monocytes, macrophages M2, and increased B cells naive, T cells follicular helper, and macrophages M1. 19 core-DEGs (ASNS, TRIB3, ATF4, EIF2S1, CEBPG, RELA, HSPA5, DDIT3, STAT3, MAP3K5, HIF1A, HNF4A, MAPK14, HMOX1, CDKN1A, KRAS, SP1, SIRT1, EGFR) were screened, all of which were up-regulated DEGs. These biological processes and pathways were mainly involved in responding to ER stress, lipid and atherosclerosis, cellular response to stress, cellular response to chemical stress, and regulation of DNA-templated transcription in response to stress, etc. Spearman analysis did not find MAPK14 to be significantly associated with immune cells. Other core-DEGs were associated with immune cells, including B cells naive, T cells follicular helper, and monocytes. Based on core-DEGs, 283 miRNAs were predicted. Among the 22 miRNAs with highly cross-linked DEGs, 11 had upstream lncRNA, mainly targeting STAT3, SP1, CDKN1A, and SIRT1, and a total of 39 lncRNA were obtained. 85 potential drugs targeting 11 core-DEGs were identified and were expected to be potential immunotherapeutic agents for stress injury. Our experiments also confirmed that Liproxstatin-1 alleviates common cross-linked proteins between ER stress and ferroptosis. In conclusion, our study explored the molecular mechanisms and network interactions among stress—ER stress—ferroptosis from a novel perspective, which provides new research ideas for studying stressful injury. |
format | Online Article Text |
id | pubmed-10079382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-100793822023-04-07 Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure Zhu, Weihao Li, Yingmin Li, Meili Liu, Jingmin Zhang, Guowei Ma, Xiaoying Shi, Weibo Cong, Bin Anal Cell Pathol (Amst) Research Article Stress has become a universal biological phenomenon in the body, which leads to pathophysiological changes. However, the molecular network interactions between endoplasmic reticulum (ER) stress and ferroptosis under stressful conditions are not clear. For this purpose, we screened the gene expression profile of GSE173795 for intersection with ferroptosis genes and screened 68 differentially expressed genes (DEGs) (63 up-regulated, 5 down-regulated), mainly related to lipid and atherosclerosis, autophagy—animal, mitophagy—animal, focal adhesion, DNA replication, proteasome, oocyte meiosis, toll-like receptor signaling pathway, cell cycle, etc. Immune infiltration analysis revealed that stress resulted in decreased B cells memory, T cells CD8 and T cells CD4 memory resting, monocytes, macrophages M2, and increased B cells naive, T cells follicular helper, and macrophages M1. 19 core-DEGs (ASNS, TRIB3, ATF4, EIF2S1, CEBPG, RELA, HSPA5, DDIT3, STAT3, MAP3K5, HIF1A, HNF4A, MAPK14, HMOX1, CDKN1A, KRAS, SP1, SIRT1, EGFR) were screened, all of which were up-regulated DEGs. These biological processes and pathways were mainly involved in responding to ER stress, lipid and atherosclerosis, cellular response to stress, cellular response to chemical stress, and regulation of DNA-templated transcription in response to stress, etc. Spearman analysis did not find MAPK14 to be significantly associated with immune cells. Other core-DEGs were associated with immune cells, including B cells naive, T cells follicular helper, and monocytes. Based on core-DEGs, 283 miRNAs were predicted. Among the 22 miRNAs with highly cross-linked DEGs, 11 had upstream lncRNA, mainly targeting STAT3, SP1, CDKN1A, and SIRT1, and a total of 39 lncRNA were obtained. 85 potential drugs targeting 11 core-DEGs were identified and were expected to be potential immunotherapeutic agents for stress injury. Our experiments also confirmed that Liproxstatin-1 alleviates common cross-linked proteins between ER stress and ferroptosis. In conclusion, our study explored the molecular mechanisms and network interactions among stress—ER stress—ferroptosis from a novel perspective, which provides new research ideas for studying stressful injury. Hindawi 2023-03-30 /pmc/articles/PMC10079382/ /pubmed/37035018 http://dx.doi.org/10.1155/2023/9979291 Text en Copyright © 2023 Weihao Zhu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhu, Weihao Li, Yingmin Li, Meili Liu, Jingmin Zhang, Guowei Ma, Xiaoying Shi, Weibo Cong, Bin Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure |
title | Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure |
title_full | Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure |
title_fullStr | Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure |
title_full_unstemmed | Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure |
title_short | Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure |
title_sort | bioinformatics analysis of molecular interactions between endoplasmic reticulum stress and ferroptosis under stress exposure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079382/ https://www.ncbi.nlm.nih.gov/pubmed/37035018 http://dx.doi.org/10.1155/2023/9979291 |
work_keys_str_mv | AT zhuweihao bioinformaticsanalysisofmolecularinteractionsbetweenendoplasmicreticulumstressandferroptosisunderstressexposure AT liyingmin bioinformaticsanalysisofmolecularinteractionsbetweenendoplasmicreticulumstressandferroptosisunderstressexposure AT limeili bioinformaticsanalysisofmolecularinteractionsbetweenendoplasmicreticulumstressandferroptosisunderstressexposure AT liujingmin bioinformaticsanalysisofmolecularinteractionsbetweenendoplasmicreticulumstressandferroptosisunderstressexposure AT zhangguowei bioinformaticsanalysisofmolecularinteractionsbetweenendoplasmicreticulumstressandferroptosisunderstressexposure AT maxiaoying bioinformaticsanalysisofmolecularinteractionsbetweenendoplasmicreticulumstressandferroptosisunderstressexposure AT shiweibo bioinformaticsanalysisofmolecularinteractionsbetweenendoplasmicreticulumstressandferroptosisunderstressexposure AT congbin bioinformaticsanalysisofmolecularinteractionsbetweenendoplasmicreticulumstressandferroptosisunderstressexposure |