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High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers

Proteins, as executives of genes' instructions, are responsible for cellular phenotypes. Integrating proteomics with gene microarray, we conducted this study to identify potential protein biomarkers of colorectal cancer (CRC). Isobaric tags with related and absolute quantitation (iTRAQ) labelin...

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Autores principales: Yu, Jiekai, Li, Xiaofen, Zhong, Chenhan, Li, Dan, Zhai, Xiaohui, Hu, Wangxiong, Guo, Cheng, Yuan, Ying, Zheng, Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342740/
https://www.ncbi.nlm.nih.gov/pubmed/27661117
http://dx.doi.org/10.18632/oncotarget.12143
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author Yu, Jiekai
Li, Xiaofen
Zhong, Chenhan
Li, Dan
Zhai, Xiaohui
Hu, Wangxiong
Guo, Cheng
Yuan, Ying
Zheng, Shu
author_facet Yu, Jiekai
Li, Xiaofen
Zhong, Chenhan
Li, Dan
Zhai, Xiaohui
Hu, Wangxiong
Guo, Cheng
Yuan, Ying
Zheng, Shu
author_sort Yu, Jiekai
collection PubMed
description Proteins, as executives of genes' instructions, are responsible for cellular phenotypes. Integrating proteomics with gene microarray, we conducted this study to identify potential protein biomarkers of colorectal cancer (CRC). Isobaric tags with related and absolute quantitation (iTRAQ) labeling mass spectrometry (MS) was applied to screen and identify differentially expressed proteins between paired CRC and adjacent normal mucosa. Meanwhile, Affymetrix U133plus2.0 microarrays were used to perform gene microarray analysis. Verification experiments included immunohistochemistry (IHC), western blot and enzyme-linked immunosorbent assay (ELISA) of selected proteins. Overall, 5469 differentially expressed proteins were detected with iTRAQ-MS from 24 matched CRC and adjacent normal tissues. And gene microarray identified 39859 differential genes from 52 patients. Of these, 3083 differential proteins had corresponding differentially expressed genes, with 245 proteins and their genes showed >1.5-fold change in expression level. Gene ontology enrichment analysis revealed that up-regulated proteins were more involved in cell adhesion and motion than down-regulated proteins. In addition, up-regulated proteins were more likely to be located in nucleus and vesicles. Further verification experiments with IHC confirmed differential expression levels of 5 proteins (S100 calcium-binding protein A9, annexin A3, nicotinamide phosphoribosyltransferase, carboxylesterase 2 and calcium activated chloride channel A1) between CRC and normal tissues. Besides, western blot showed a stepwise increase of annexin A3 abundance in normal colorectal mucosa, adenoma and CRC tissues. ELISA results revealed significantly higher serum levels of S100 calcium-binding protein A9 and annexin A3 in CRC patients than healthy controls, validating diagnostic value of these proteins. Cell experiments showed that inhibition of annexin A3 could suppress CRC cell proliferation and aggressiveness. S100 calcium-binding protein A9, annexin A3, nicotinamide phosphoribosyltransferase, carboxylesterase 2 and calcium activated chloride channel A1 were probably potential biomarkers of colorectal cancer. Annexin A3 was a potentially valuable therapeutic target of CRC.
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spelling pubmed-53427402017-03-28 High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers Yu, Jiekai Li, Xiaofen Zhong, Chenhan Li, Dan Zhai, Xiaohui Hu, Wangxiong Guo, Cheng Yuan, Ying Zheng, Shu Oncotarget Research Paper Proteins, as executives of genes' instructions, are responsible for cellular phenotypes. Integrating proteomics with gene microarray, we conducted this study to identify potential protein biomarkers of colorectal cancer (CRC). Isobaric tags with related and absolute quantitation (iTRAQ) labeling mass spectrometry (MS) was applied to screen and identify differentially expressed proteins between paired CRC and adjacent normal mucosa. Meanwhile, Affymetrix U133plus2.0 microarrays were used to perform gene microarray analysis. Verification experiments included immunohistochemistry (IHC), western blot and enzyme-linked immunosorbent assay (ELISA) of selected proteins. Overall, 5469 differentially expressed proteins were detected with iTRAQ-MS from 24 matched CRC and adjacent normal tissues. And gene microarray identified 39859 differential genes from 52 patients. Of these, 3083 differential proteins had corresponding differentially expressed genes, with 245 proteins and their genes showed >1.5-fold change in expression level. Gene ontology enrichment analysis revealed that up-regulated proteins were more involved in cell adhesion and motion than down-regulated proteins. In addition, up-regulated proteins were more likely to be located in nucleus and vesicles. Further verification experiments with IHC confirmed differential expression levels of 5 proteins (S100 calcium-binding protein A9, annexin A3, nicotinamide phosphoribosyltransferase, carboxylesterase 2 and calcium activated chloride channel A1) between CRC and normal tissues. Besides, western blot showed a stepwise increase of annexin A3 abundance in normal colorectal mucosa, adenoma and CRC tissues. ELISA results revealed significantly higher serum levels of S100 calcium-binding protein A9 and annexin A3 in CRC patients than healthy controls, validating diagnostic value of these proteins. Cell experiments showed that inhibition of annexin A3 could suppress CRC cell proliferation and aggressiveness. S100 calcium-binding protein A9, annexin A3, nicotinamide phosphoribosyltransferase, carboxylesterase 2 and calcium activated chloride channel A1 were probably potential biomarkers of colorectal cancer. Annexin A3 was a potentially valuable therapeutic target of CRC. Impact Journals LLC 2016-09-20 /pmc/articles/PMC5342740/ /pubmed/27661117 http://dx.doi.org/10.18632/oncotarget.12143 Text en Copyright: © 2016 Yu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Yu, Jiekai
Li, Xiaofen
Zhong, Chenhan
Li, Dan
Zhai, Xiaohui
Hu, Wangxiong
Guo, Cheng
Yuan, Ying
Zheng, Shu
High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers
title High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers
title_full High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers
title_fullStr High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers
title_full_unstemmed High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers
title_short High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers
title_sort high-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342740/
https://www.ncbi.nlm.nih.gov/pubmed/27661117
http://dx.doi.org/10.18632/oncotarget.12143
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