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Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach
Tas, Sevgi Kalkanli; Kirkik, Duygu; Işik, Mehmet Emirhan; Kalkanli, Nevin; Uzunoglu, Aylin Seher; Uzunoglu, Merve Saide; Altunkanat, Derya; Alragabi, Jalal Mohammed Mohammed; Tanoglu, Alpaslan.
  • Tas, Sevgi Kalkanli; University of Health Sciences. Hamidiye International Medicine Faculty. Department of Immunology. Istanbul. TR
  • Kirkik, Duygu; University of Health Sciences. Hamidiye Medicine Faculty. Department of Medical Biology. Istanbul. TR
  • Işik, Mehmet Emirhan; Kartal Kosuyolu Yuksek Ihtisas Research and Training Hospital. Department of Infectious Diseases. Istanbul. TR
  • Kalkanli, Nevin; Diyarlife Hospital. Department of Dermatology. Diyarbakir. TR
  • Uzunoglu, Aylin Seher; University of Health Sciences. Hamidiye Medicine Faculty. Department of Immunology. Istanbul. TR
  • Uzunoglu, Merve Saide; University of Health Sciences. Hamidiye Medicine Faculty. Department of Immunology. Istanbul. TR
  • Altunkanat, Derya; University of Health Sciences. Hamidiye Medicine Faculty. Department of Medical Biology. Istanbul. TR
  • Alragabi, Jalal Mohammed Mohammed; Yenikent Family Health Centre. İstanbul. TR
  • Tanoglu, Alpaslan; Sultanabdulhamid Han Training and Research Hospital. Department of Gastroenterology. Istanbul. TR
Braz. arch. biol. technol ; 63: e20200304, 2020. tab, graf
Artículo en Inglés | LILACS | ID: biblio-1132259
ABSTRACT
Abstract We aimed to analyze the expression profile of ACE2 and similar genes with ACE2, predict the number of variations in ACE2, detect the suspected SNPs on ACE2 gene, and perform the pathway analysis of renin-angiotensin system (RAS) and protein absorption-digestion. Moreover, we have predicted the gene-related diseases with ACE2. STRING was used to analyze functionally similar genes with ACE2. Exome Variant Server, SIFT, Polyphen2 were used to predict the number of variations in ACE2 and detect the suspected SNPs on ACE2. KEGG database and STRING were used to draw pathway of ACE2. Then, DISEASES resource, FitSNPs, UniProt, BioXpress, IGV Browser, Ensembl Genome Browser, and UCSC Genome Browser were used to predict the ACE2 gene-related diseases and expression profile in human normal and cancer tissues. We have shown that expression of ACE2 was correlated with AGT, REN, AGTR1, AGRT2, MME2, DPP4, PRCP, MEP1A, XPNPEP2, MEP1BandACE2 is expressed in testis, kidney, heart, thyroid, colon, esophagus, breast, minor salivary gland, pancreas, lung, liver, bladder, cervix, and muscle tissues. We found 99 variations in ACE2 gene, in which no previous study has been performed. In the future, this in silico analysis should be combined with other pieces of evidence including experimental data to assign function.
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Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Peptidil-Dipeptidasa A / Pandemias Límite: Humanos Idioma: Inglés Revista: Braz. arch. biol. technol Asunto de la revista: Biologia Año: 2020 Tipo del documento: Artículo País de afiliación: Turquía Institución/País de afiliación: Diyarlife Hospital/TR / Kartal Kosuyolu Yuksek Ihtisas Research and Training Hospital/TR / Sultanabdulhamid Han Training and Research Hospital/TR / University of Health Sciences/TR / Yenikent Family Health Centre/TR

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Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Peptidil-Dipeptidasa A / Pandemias Límite: Humanos Idioma: Inglés Revista: Braz. arch. biol. technol Asunto de la revista: Biologia Año: 2020 Tipo del documento: Artículo País de afiliación: Turquía Institución/País de afiliación: Diyarlife Hospital/TR / Kartal Kosuyolu Yuksek Ihtisas Research and Training Hospital/TR / Sultanabdulhamid Han Training and Research Hospital/TR / University of Health Sciences/TR / Yenikent Family Health Centre/TR