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ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas
BACKGROUND: Adrenocortical adenomas (ACAs) can lead to the autonomous secretion of aldosterone responsible for primary aldosteronism (PA), which is the most common form of secondary arterial hypertension. However, the authentic fundamental mechanisms underlying ACAs remain unclear. OBJECTIVE: Isobar...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697928/ https://www.ncbi.nlm.nih.gov/pubmed/31419939 http://dx.doi.org/10.1186/s12864-019-6030-5 |
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author | Ma, He Li, Ranwei Di, Xin Jin, Xin Wang, Yan Lai, Bingjie Shi, Cailian Ji, Mingxin Zhu, Xinran Wang, Ke |
author_facet | Ma, He Li, Ranwei Di, Xin Jin, Xin Wang, Yan Lai, Bingjie Shi, Cailian Ji, Mingxin Zhu, Xinran Wang, Ke |
author_sort | Ma, He |
collection | PubMed |
description | BACKGROUND: Adrenocortical adenomas (ACAs) can lead to the autonomous secretion of aldosterone responsible for primary aldosteronism (PA), which is the most common form of secondary arterial hypertension. However, the authentic fundamental mechanisms underlying ACAs remain unclear. OBJECTIVE: Isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics and bioinformatics analyses from etiological studies of ACAs were performed to screen the differentially expressed proteins (DEPs) and investigate the relevant mechanisms of their occurrence and development. Results could help determine therapeutic targets of clinical significance. METHODS: In the present study, iTRAQ-based proteomics was applied to analyze ACA tissue samples from normal adrenal cortex tissues adjacent to the tumor. Using proteins extracted from a panel of four pairs of ACA samples, we identified some upregulated proteins and other downregulated proteins in all four pairs of ACA samples compared with adjacent normal tissue. Subsequently, we predicted protein–protein interaction networks of three DEPs to determine the authentic functional factors in ACA. RESULTS: A total of 753 DEPs were identified, including 347 upregulated and 406 downregulated proteins. The expression of three upregulated proteins (E2F3, KRT6A, and ALDH1A2) was validated by Western blot in 24 ACA samples. Our data suggested that some DEPs might be important hallmarks during the development of ACA. CONCLUSIONS: This study is the first proteomic research to investigate alterations in protein levels and affected pathways in ACA using the iTRAQ technique. Thus, this study not only provides a comprehensive dataset on overall protein changes but also sheds light on its potential molecular mechanism in human ACAs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-6030-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6697928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66979282019-08-19 ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas Ma, He Li, Ranwei Di, Xin Jin, Xin Wang, Yan Lai, Bingjie Shi, Cailian Ji, Mingxin Zhu, Xinran Wang, Ke BMC Genomics Research Article BACKGROUND: Adrenocortical adenomas (ACAs) can lead to the autonomous secretion of aldosterone responsible for primary aldosteronism (PA), which is the most common form of secondary arterial hypertension. However, the authentic fundamental mechanisms underlying ACAs remain unclear. OBJECTIVE: Isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics and bioinformatics analyses from etiological studies of ACAs were performed to screen the differentially expressed proteins (DEPs) and investigate the relevant mechanisms of their occurrence and development. Results could help determine therapeutic targets of clinical significance. METHODS: In the present study, iTRAQ-based proteomics was applied to analyze ACA tissue samples from normal adrenal cortex tissues adjacent to the tumor. Using proteins extracted from a panel of four pairs of ACA samples, we identified some upregulated proteins and other downregulated proteins in all four pairs of ACA samples compared with adjacent normal tissue. Subsequently, we predicted protein–protein interaction networks of three DEPs to determine the authentic functional factors in ACA. RESULTS: A total of 753 DEPs were identified, including 347 upregulated and 406 downregulated proteins. The expression of three upregulated proteins (E2F3, KRT6A, and ALDH1A2) was validated by Western blot in 24 ACA samples. Our data suggested that some DEPs might be important hallmarks during the development of ACA. CONCLUSIONS: This study is the first proteomic research to investigate alterations in protein levels and affected pathways in ACA using the iTRAQ technique. Thus, this study not only provides a comprehensive dataset on overall protein changes but also sheds light on its potential molecular mechanism in human ACAs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-6030-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-16 /pmc/articles/PMC6697928/ /pubmed/31419939 http://dx.doi.org/10.1186/s12864-019-6030-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ma, He Li, Ranwei Di, Xin Jin, Xin Wang, Yan Lai, Bingjie Shi, Cailian Ji, Mingxin Zhu, Xinran Wang, Ke ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas |
title | ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas |
title_full | ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas |
title_fullStr | ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas |
title_full_unstemmed | ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas |
title_short | ITRAQ-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas |
title_sort | itraq-based proteomic analysis reveals possible target-related proteins in human adrenocortical adenomas |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697928/ https://www.ncbi.nlm.nih.gov/pubmed/31419939 http://dx.doi.org/10.1186/s12864-019-6030-5 |
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