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Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry
BACKGROUND: To find the potential intersections between the differentially expressed proteins and abnormally expressed genes in gastric cancer (GC) patients. METHODS: Gastric cancer tissue and adjacent normal mucosa tissue were used for iTRAQ analysis. Gene ontology (GO), Kyoto Encyclopedia of Genes...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914953/ https://www.ncbi.nlm.nih.gov/pubmed/31886120 http://dx.doi.org/10.1155/2019/5310684 |
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author | Gao, Zhihua Wang, Jiabao Bai, Yuru Bao, Jun Dai, Erqing |
author_facet | Gao, Zhihua Wang, Jiabao Bai, Yuru Bao, Jun Dai, Erqing |
author_sort | Gao, Zhihua |
collection | PubMed |
description | BACKGROUND: To find the potential intersections between the differentially expressed proteins and abnormally expressed genes in gastric cancer (GC) patients. METHODS: Gastric cancer tissue and adjacent normal mucosa tissue were used for iTRAQ analysis. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) analysis were used to evaluate gene function. Western blotting and immunohistochemistry (IHC) were applied to verify the protein expression. RESULTS: A total of 2770 proteins were identified, of which 147 proteins were upregulated and 159 proteins were downregulated. GO analysis revealed that the differentially expressed genes were mainly enriched for the terms “cellular process,” “binding,” and “cell.” The results of the KEGG analysis showed that the most abundantly enriched proteins were involved in the “focal adhesion” pathway. The results of the PPI analysis showed that VCAM1 was located at the center of the PPI network. Western blotting and IHC analysis demonstrated that VCAM1, FLNA, VASP, CAV1, PICK1, and COL4A2 were differentially expressed in GC and adjacent normal tissues, which was consistent with the results of the iTRAQ analysis. CONCLUSION: In conclusion, 6 highly differentially expressed proteins were identified as novel differentially expressed proteins in human GC. This exploratory research may provide useful information for the treatment of gastric cancer in the clinic. |
format | Online Article Text |
id | pubmed-6914953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-69149532019-12-29 Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry Gao, Zhihua Wang, Jiabao Bai, Yuru Bao, Jun Dai, Erqing Anal Cell Pathol (Amst) Research Article BACKGROUND: To find the potential intersections between the differentially expressed proteins and abnormally expressed genes in gastric cancer (GC) patients. METHODS: Gastric cancer tissue and adjacent normal mucosa tissue were used for iTRAQ analysis. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) analysis were used to evaluate gene function. Western blotting and immunohistochemistry (IHC) were applied to verify the protein expression. RESULTS: A total of 2770 proteins were identified, of which 147 proteins were upregulated and 159 proteins were downregulated. GO analysis revealed that the differentially expressed genes were mainly enriched for the terms “cellular process,” “binding,” and “cell.” The results of the KEGG analysis showed that the most abundantly enriched proteins were involved in the “focal adhesion” pathway. The results of the PPI analysis showed that VCAM1 was located at the center of the PPI network. Western blotting and IHC analysis demonstrated that VCAM1, FLNA, VASP, CAV1, PICK1, and COL4A2 were differentially expressed in GC and adjacent normal tissues, which was consistent with the results of the iTRAQ analysis. CONCLUSION: In conclusion, 6 highly differentially expressed proteins were identified as novel differentially expressed proteins in human GC. This exploratory research may provide useful information for the treatment of gastric cancer in the clinic. Hindawi 2019-12-01 /pmc/articles/PMC6914953/ /pubmed/31886120 http://dx.doi.org/10.1155/2019/5310684 Text en Copyright © 2019 Zhihua Gao et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gao, Zhihua Wang, Jiabao Bai, Yuru Bao, Jun Dai, Erqing Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry |
title | Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry |
title_full | Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry |
title_fullStr | Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry |
title_full_unstemmed | Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry |
title_short | Identification and Verification of the Main Differentially Expressed Proteins in Gastric Cancer via iTRAQ Combined with Liquid Chromatography-Mass Spectrometry |
title_sort | identification and verification of the main differentially expressed proteins in gastric cancer via itraq combined with liquid chromatography-mass spectrometry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914953/ https://www.ncbi.nlm.nih.gov/pubmed/31886120 http://dx.doi.org/10.1155/2019/5310684 |
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