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In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients
Dengue fever is the fastest-growing infectious disease in the world. It is the leading vector-borne viral neglected tropical disease. The most acute immune response to dengue virus infection is dengue shock syndrome and hemorrhagic fever, which is due to the activation of CLEC5A C-type lectin domain...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320400/ https://www.ncbi.nlm.nih.gov/pubmed/37415850 http://dx.doi.org/10.1016/j.bbrep.2023.101501 |
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author | Suchanti, Surabhi Stephen, Bjorn John Chaurasia, Tejulal Prasad Raghuwanshi, Amit Prakash Singh, Gyanendra Singh, Abhijeet Mishra, Rajeev |
author_facet | Suchanti, Surabhi Stephen, Bjorn John Chaurasia, Tejulal Prasad Raghuwanshi, Amit Prakash Singh, Gyanendra Singh, Abhijeet Mishra, Rajeev |
author_sort | Suchanti, Surabhi |
collection | PubMed |
description | Dengue fever is the fastest-growing infectious disease in the world. It is the leading vector-borne viral neglected tropical disease. The most acute immune response to dengue virus infection is dengue shock syndrome and hemorrhagic fever, which is due to the activation of CLEC5A C-type lectin domain family 5, member A (CLEC5A). It is a cell surface receptor, and its well-known ligand is the dengue virus. It gets activated by the attachment of dengue virion, which, as a result, phosphorylates its adaptor protein DAP12 leading to the induction of various pro-inflammatory cytokines. Clinical data suggested that the kidneys and lungs are among the major hit organs in the case of severe dengue infection. Here we predict kidney and lung cancer patients are vulnerable to dengue virus infection as CLEC5A mRNA expression in tumor samples using publicly available software such as TIMER and GEPIA database. We also identified the immunomodulatory role CLEC5A gene therefore targeting it could be a vital tool to cure dengue. |
format | Online Article Text |
id | pubmed-10320400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103204002023-07-06 In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients Suchanti, Surabhi Stephen, Bjorn John Chaurasia, Tejulal Prasad Raghuwanshi, Amit Prakash Singh, Gyanendra Singh, Abhijeet Mishra, Rajeev Biochem Biophys Rep Research Article Dengue fever is the fastest-growing infectious disease in the world. It is the leading vector-borne viral neglected tropical disease. The most acute immune response to dengue virus infection is dengue shock syndrome and hemorrhagic fever, which is due to the activation of CLEC5A C-type lectin domain family 5, member A (CLEC5A). It is a cell surface receptor, and its well-known ligand is the dengue virus. It gets activated by the attachment of dengue virion, which, as a result, phosphorylates its adaptor protein DAP12 leading to the induction of various pro-inflammatory cytokines. Clinical data suggested that the kidneys and lungs are among the major hit organs in the case of severe dengue infection. Here we predict kidney and lung cancer patients are vulnerable to dengue virus infection as CLEC5A mRNA expression in tumor samples using publicly available software such as TIMER and GEPIA database. We also identified the immunomodulatory role CLEC5A gene therefore targeting it could be a vital tool to cure dengue. Elsevier 2023-06-26 /pmc/articles/PMC10320400/ /pubmed/37415850 http://dx.doi.org/10.1016/j.bbrep.2023.101501 Text en © 2023 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 Suchanti, Surabhi Stephen, Bjorn John Chaurasia, Tejulal Prasad Raghuwanshi, Amit Prakash Singh, Gyanendra Singh, Abhijeet Mishra, Rajeev In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients |
title | In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients |
title_full | In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients |
title_fullStr | In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients |
title_full_unstemmed | In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients |
title_short | In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients |
title_sort | in-silico clec5a mrna expression analysis to predict dengue susceptibility in cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320400/ https://www.ncbi.nlm.nih.gov/pubmed/37415850 http://dx.doi.org/10.1016/j.bbrep.2023.101501 |
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