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Identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing
BACKGROUND: Severe aplastic anemia (SAA) is a syndrome of severe bone marrow failure due to hyperfunction of CD8+ T cells. While, the genetic background of SAA is still unknown. In this study, we tried to explore the possible genetic variants in CD8+ T cells of SAA patients. METHODS: We performed wh...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102512/ https://www.ncbi.nlm.nih.gov/pubmed/35435273 http://dx.doi.org/10.1002/jcla.24438 |
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author | Zhang, Yang Zhang, Yu Ge, Hongyu Li, Nianbin Liu, Chunyan Wang, Ting Fu, Rong Shao, Zonghong |
author_facet | Zhang, Yang Zhang, Yu Ge, Hongyu Li, Nianbin Liu, Chunyan Wang, Ting Fu, Rong Shao, Zonghong |
author_sort | Zhang, Yang |
collection | PubMed |
description | BACKGROUND: Severe aplastic anemia (SAA) is a syndrome of severe bone marrow failure due to hyperfunction of CD8+ T cells. While, the genetic background of SAA is still unknown. In this study, we tried to explore the possible genetic variants in CD8+ T cells of SAA patients. METHODS: We performed whole‐exome sequencing (WES) in CD8+ T cells of 4 SAA patients and 7 normal controls. The mutations that existed in SAA but not in NCs were identified as candidate genes. Then, we compared them with genes in the enriched KEGG pathway of differently expressed genes (DEGs) from previous RNA‐seq. After analyzing the types of mutations, we identified possible pathogenic genes and validated them by RT‐PCR. Finally, we compared them with the autoimmune disease‐related genes in DisGeNET database to select the most possible pathogenic genes. RESULTS: We found 95 candidate mutant genes in which, 4 possible pathogenic genes were identified: PRSS1, KCNJ18, PRSS2, and DGKK. RT‐PCR results showed that compared with NCs, PRSS1 and KCNJ18 mRNA expression was significantly increased in SAA patients (p < 0.05), PRSS2 was also increased in SAA patients but without statistical difference, and DGKK gene could not be detected by RT‐PCR in SAA patients. In addition, PRSS1 was associated with autoimmune diseases from the DisGeNET database. CONCLUSION: The mutations of PRSS1, KCNJ18, PRSS2, and DGKK, especially PRSS1 in CD8+T cells, may be involved in the immune pathogenesis of SAA. |
format | Online Article Text |
id | pubmed-9102512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91025122022-05-18 Identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing Zhang, Yang Zhang, Yu Ge, Hongyu Li, Nianbin Liu, Chunyan Wang, Ting Fu, Rong Shao, Zonghong J Clin Lab Anal Research Articles BACKGROUND: Severe aplastic anemia (SAA) is a syndrome of severe bone marrow failure due to hyperfunction of CD8+ T cells. While, the genetic background of SAA is still unknown. In this study, we tried to explore the possible genetic variants in CD8+ T cells of SAA patients. METHODS: We performed whole‐exome sequencing (WES) in CD8+ T cells of 4 SAA patients and 7 normal controls. The mutations that existed in SAA but not in NCs were identified as candidate genes. Then, we compared them with genes in the enriched KEGG pathway of differently expressed genes (DEGs) from previous RNA‐seq. After analyzing the types of mutations, we identified possible pathogenic genes and validated them by RT‐PCR. Finally, we compared them with the autoimmune disease‐related genes in DisGeNET database to select the most possible pathogenic genes. RESULTS: We found 95 candidate mutant genes in which, 4 possible pathogenic genes were identified: PRSS1, KCNJ18, PRSS2, and DGKK. RT‐PCR results showed that compared with NCs, PRSS1 and KCNJ18 mRNA expression was significantly increased in SAA patients (p < 0.05), PRSS2 was also increased in SAA patients but without statistical difference, and DGKK gene could not be detected by RT‐PCR in SAA patients. In addition, PRSS1 was associated with autoimmune diseases from the DisGeNET database. CONCLUSION: The mutations of PRSS1, KCNJ18, PRSS2, and DGKK, especially PRSS1 in CD8+T cells, may be involved in the immune pathogenesis of SAA. John Wiley and Sons Inc. 2022-04-18 /pmc/articles/PMC9102512/ /pubmed/35435273 http://dx.doi.org/10.1002/jcla.24438 Text en © 2022 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Zhang, Yang Zhang, Yu Ge, Hongyu Li, Nianbin Liu, Chunyan Wang, Ting Fu, Rong Shao, Zonghong Identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing |
title | Identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing |
title_full | Identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing |
title_fullStr | Identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing |
title_full_unstemmed | Identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing |
title_short | Identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing |
title_sort | identification of potential pathogenic genes for severe aplastic anemia by whole‐exome sequencing |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102512/ https://www.ncbi.nlm.nih.gov/pubmed/35435273 http://dx.doi.org/10.1002/jcla.24438 |
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