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Comprehensive Bioinformatics analysis of angiotensin-converting enzyme 2 (ACE2)
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Abstract
ACE2, a member of the angiotensin converting enzyme family, plays an irreplaceable role in the renin-angiotensin system. And the variations of ACE2 are regarded as the key factor to human diseases such as the novel coronavirus pneumonia, cardiovascular disease, and tumors. Here, we summarized the mutation, expression, modification and function of the human ACE2 based on comprehensive bioinformatics analysis. Especially, the relationship between ACE2 expression and diseases, especially tumor was further discussed. ACE2 is highly conserved in different genera and families. We explored the correlation between ACE2 and disease based on the datasets of GCBI and GEO (Gene expression omnibus), and found the expression of ACE2 is related to heart failure. High prevalence of ACE2 mutations is observed in diffuse large B-cell lymphoma, uterine carcinosarcoma (UCS), and stomach adenocarcinoma (STAD). We first identified that highly expressed of ACE2 was linked to poor prognosis of overall survival for tumors of brain lower grade glioma (LGG). Specially, the expression level of ACE2 in kidney-related tumor tissues is much higher than that of normal kidney tissues. ACE2 is negatively correlated with the infiltration level of cancer-associated fibroblasts in most kinds of cancers, such as uterine corpus endometrial carcinoma (UCEC), esophageal carcinoma (ESCA), ovarian serous cystadenocarcinoma (OV) and kidney renal clear cell carcinoma (KIRC); positively correlation in testicular germ cell tumors (TGCT). The different phosphorylation sites of ACE2 were analyzed in CPTAC dataset, and the DNA methylation of ACE2 in colon adenocarcinoma (COAD), kidney renal papillary cell carcinoma (KIRP), and rectum adenocarcinoma (READ) was lower than that of normal control by using SMART database. Moreover, we summarized the interaction proteins and targeted miRNAs of ACE2 through bioinformatics. Then we found the endocrine process and the regulation of systemic arterial blood pressure were involved in the functional mechanisms of ACE2 by using KEGG and GO analysis. Our study offers a relatively comprehensive understanding of ACE2.
Research Square Platform LLC
Title: Comprehensive Bioinformatics analysis of angiotensin-converting enzyme 2 (ACE2)
Description:
Abstract
ACE2, a member of the angiotensin converting enzyme family, plays an irreplaceable role in the renin-angiotensin system.
And the variations of ACE2 are regarded as the key factor to human diseases such as the novel coronavirus pneumonia, cardiovascular disease, and tumors.
Here, we summarized the mutation, expression, modification and function of the human ACE2 based on comprehensive bioinformatics analysis.
Especially, the relationship between ACE2 expression and diseases, especially tumor was further discussed.
ACE2 is highly conserved in different genera and families.
We explored the correlation between ACE2 and disease based on the datasets of GCBI and GEO (Gene expression omnibus), and found the expression of ACE2 is related to heart failure.
High prevalence of ACE2 mutations is observed in diffuse large B-cell lymphoma, uterine carcinosarcoma (UCS), and stomach adenocarcinoma (STAD).
We first identified that highly expressed of ACE2 was linked to poor prognosis of overall survival for tumors of brain lower grade glioma (LGG).
Specially, the expression level of ACE2 in kidney-related tumor tissues is much higher than that of normal kidney tissues.
ACE2 is negatively correlated with the infiltration level of cancer-associated fibroblasts in most kinds of cancers, such as uterine corpus endometrial carcinoma (UCEC), esophageal carcinoma (ESCA), ovarian serous cystadenocarcinoma (OV) and kidney renal clear cell carcinoma (KIRC); positively correlation in testicular germ cell tumors (TGCT).
The different phosphorylation sites of ACE2 were analyzed in CPTAC dataset, and the DNA methylation of ACE2 in colon adenocarcinoma (COAD), kidney renal papillary cell carcinoma (KIRP), and rectum adenocarcinoma (READ) was lower than that of normal control by using SMART database.
Moreover, we summarized the interaction proteins and targeted miRNAs of ACE2 through bioinformatics.
Then we found the endocrine process and the regulation of systemic arterial blood pressure were involved in the functional mechanisms of ACE2 by using KEGG and GO analysis.
Our study offers a relatively comprehensive understanding of ACE2.
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