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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...

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Autores principales: Ma, He, Li, Ranwei, Di, Xin, Jin, Xin, Wang, Yan, Lai, Bingjie, Shi, Cailian, Ji, Mingxin, Zhu, Xinran, Wang, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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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