Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132020000100333 |
Resumo: | 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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Brazilian Archives of Biology and Technology |
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Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico ApproachCOVID-19ACE2Sars-CoV-2small intestinekidney failuretestisheartrenin angiotensin systemAbstract 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.Instituto de Tecnologia do Paraná - Tecpar2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132020000100333Brazilian Archives of Biology and Technology v.63 2020reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2020200304info:eu-repo/semantics/openAccessTas,Sevgi KalkanliKirkik,DuyguIşik,Mehmet EmirhanKalkanli,NevinUzunoglu,Aylin SeherUzunoglu,Merve SaideAltunkanat,DeryaAlragabi,Jalal Mohammed MohammedTanoglu,Alpaslaneng2020-10-22T00:00:00Zoai:scielo:S1516-89132020000100333Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2020-10-22T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach |
title |
Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach |
spellingShingle |
Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach Tas,Sevgi Kalkanli COVID-19 ACE2 Sars-CoV-2 small intestine kidney failure testis heart renin angiotensin system |
title_short |
Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach |
title_full |
Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach |
title_fullStr |
Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach |
title_full_unstemmed |
Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach |
title_sort |
Role of ACE2 Gene Expression in Renin Angiotensin System and Its Importance in Covid-19: In Silico Approach |
author |
Tas,Sevgi Kalkanli |
author_facet |
Tas,Sevgi Kalkanli Kirkik,Duygu Işik,Mehmet Emirhan Kalkanli,Nevin Uzunoglu,Aylin Seher Uzunoglu,Merve Saide Altunkanat,Derya Alragabi,Jalal Mohammed Mohammed Tanoglu,Alpaslan |
author_role |
author |
author2 |
Kirkik,Duygu Işik,Mehmet Emirhan Kalkanli,Nevin Uzunoglu,Aylin Seher Uzunoglu,Merve Saide Altunkanat,Derya Alragabi,Jalal Mohammed Mohammed Tanoglu,Alpaslan |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Tas,Sevgi Kalkanli Kirkik,Duygu Işik,Mehmet Emirhan Kalkanli,Nevin Uzunoglu,Aylin Seher Uzunoglu,Merve Saide Altunkanat,Derya Alragabi,Jalal Mohammed Mohammed Tanoglu,Alpaslan |
dc.subject.por.fl_str_mv |
COVID-19 ACE2 Sars-CoV-2 small intestine kidney failure testis heart renin angiotensin system |
topic |
COVID-19 ACE2 Sars-CoV-2 small intestine kidney failure testis heart renin angiotensin system |
description |
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. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132020000100333 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132020000100333 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-2020200304 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.63 2020 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
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1750318279994376192 |