دورية أكاديمية

Identification of key differentially expressed genes in SARS-CoV-2 using RNA-seq analysis with a systems biology approach.

التفاصيل البيبلوغرافية
العنوان: Identification of key differentially expressed genes in SARS-CoV-2 using RNA-seq analysis with a systems biology approach.
المؤلفون: Safarzadeh, Arash, Mahmud Hussen, Bashdar, Taheri, Mohammad, Ghafouri-Fard, Soudeh, Hajiesmaeili, Mohammadreza
بيانات النشر: Elsevier BV
سنة النشر: 2023
المجموعة: Digital Library Thüringen
مصطلحات موضوعية: article, ScholarlyArticle, ddc:570, Humans, Gene Expression Profiling, Computational Biology, Systems Biology, LIM Domain Proteins, RNA-Seq, COVID-19, SARS-CoV-2, Immune response, Gene Expression
الوصف: COVID-19 is associated with dysregulation of several genes and signaling pathways. Based on the importance of expression profiling in identification of the pathogenesis of COVID-19 and proposing novel therapies for this disorder, we have employed an in silico approach to find differentially expressed genes between COVID-19 patients and healthy controls and their relevance with cellular functions and signaling pathways. We obtained 630 DEmRNAs, including 486 down-regulated DEGs (such as CCL3 and RSAD2) and 144 up-regulated DEGs (such as RHO and IQCA1L), and 15 DElncRNAs, including 9 down-regulated DElncRNAs (such as PELATON and LINC01506) and 6 up-regulated DElncRNAs (such as AJUBA-DT and FALEC). The PPI network of DEGs showed the presence of a number immune-related genes such as those coding for HLA molecules and interferon regulatory factors. Taken together, these results highlight the importance of immune-related genes and pathways in the pathogenesis of COVID-19 and suggest novel targets for treatment of this disorder.
نوع الوثيقة: article in journal/newspaper
وصف الملف: 14 Seiten
اللغة: English
العلاقة: Cytokine; https://doi.org/10.1016/j.cyto.2023.156187Test; https://www.db-thueringen.de/receive/dbt_mods_00059778Test; https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00062473/1-s2.0-S1043466623000650-main.pdfTest; https://europepmc.org/articles/PMC10036311Test; https://europepmc.org/articles/PMC10036311?pdf=renderTest
DOI: 10.1016/j.cyto.2023.156187
الإتاحة: https://doi.org/10.1016/j.cyto.2023.156187Test
https://www.db-thueringen.de/receive/dbt_mods_00059778Test
https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00062473/1-s2.0-S1043466623000650-main.pdfTest
https://europepmc.org/articles/PMC10036311Test
https://europepmc.org/articles/PMC10036311?pdf=renderTest
حقوق: https://creativecommons.org/licenses/by/4.0Test/ ; public ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.453F5CAD
قاعدة البيانات: BASE