Identification of key differentially expressed genes in SARS-CoV-2 using RNA-seq analysis with a systems biology approach.
Cytokine
; 166: 156187, 2023 06.
Artículo
en Inglés
| MEDLINE | ID: covidwho-2279243
ABSTRACT
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.
Palabras clave
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Perfilación de la Expresión Génica
/
COVID-19
Tipo de estudio:
Estudios diagnósticos
/
Estudio pronóstico
Límite:
Humanos
Idioma:
Inglés
Revista:
Cytokine
Asunto de la revista:
Alergia e Inmunología
Año:
2023
Tipo del documento:
Artículo
País de afiliación:
J.cyto.2023.156187
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