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. Integratingproteomics 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...

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Veröffentlicht in:Oncotarget 2016-11, Vol.7 (46), p.75279-75292
Hauptverfasser: Yu, Jiekai, Li, Xiaofen, Zhong, Chenhan, Li, Dan, Zhai, Xiaohui, Hu, Wangxiong, Guo, Cheng, Yuan, Ying, Zheng, Shu
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container_end_page 75292
container_issue 46
container_start_page 75279
container_title Oncotarget
container_volume 7
creator Yu, Jiekai
Li, Xiaofen
Zhong, Chenhan
Li, Dan
Zhai, Xiaohui
Hu, Wangxiong
Guo, Cheng
Yuan, Ying
Zheng, Shu
description Proteins, as executives of genes' instructions, are responsible for cellular phenotypes. Integratingproteomics 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. ELISAresults 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.
doi_str_mv 10.18632/oncotarget.12143
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Integratingproteomics 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 &gt;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. ELISAresults 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.</description><identifier>ISSN: 1949-2553</identifier><identifier>EISSN: 1949-2553</identifier><identifier>DOI: 10.18632/oncotarget.12143</identifier><identifier>PMID: 27661117</identifier><language>eng</language><publisher>United States: Impact Journals LLC</publisher><subject>Biomarkers, Tumor ; Cell Proliferation ; Colorectal Neoplasms - genetics ; Colorectal Neoplasms - metabolism ; Colorectal Neoplasms - pathology ; Computational Biology - methods ; Disease Progression ; Female ; Gene Ontology ; High-Throughput Screening Assays ; Humans ; Intestinal Mucosa - metabolism ; Intestinal Mucosa - pathology ; Male ; Neoplasm Grading ; Neoplasm Staging ; Oligonucleotide Array Sequence Analysis ; Proteome ; Proteomics - methods ; Research Paper</subject><ispartof>Oncotarget, 2016-11, Vol.7 (46), p.75279-75292</ispartof><rights>Copyright: © 2016 Yu et al. 2016</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-c4a22df6b7eba5341264719e6951908cd3356dbb348904558d91d8af3dccd6683</citedby><cites>FETCH-LOGICAL-c356t-c4a22df6b7eba5341264719e6951908cd3356dbb348904558d91d8af3dccd6683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342740/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342740/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27661117$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yu, Jiekai</creatorcontrib><creatorcontrib>Li, Xiaofen</creatorcontrib><creatorcontrib>Zhong, Chenhan</creatorcontrib><creatorcontrib>Li, Dan</creatorcontrib><creatorcontrib>Zhai, Xiaohui</creatorcontrib><creatorcontrib>Hu, Wangxiong</creatorcontrib><creatorcontrib>Guo, Cheng</creatorcontrib><creatorcontrib>Yuan, Ying</creatorcontrib><creatorcontrib>Zheng, Shu</creatorcontrib><title>High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers</title><title>Oncotarget</title><addtitle>Oncotarget</addtitle><description>Proteins, as executives of genes' instructions, are responsible for cellular phenotypes. Integratingproteomics 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 &gt;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. ELISAresults 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. 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Li, Xiaofen ; Zhong, Chenhan ; Li, Dan ; Zhai, Xiaohui ; Hu, Wangxiong ; Guo, Cheng ; Yuan, Ying ; Zheng, Shu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-c4a22df6b7eba5341264719e6951908cd3356dbb348904558d91d8af3dccd6683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Biomarkers, Tumor</topic><topic>Cell Proliferation</topic><topic>Colorectal Neoplasms - genetics</topic><topic>Colorectal Neoplasms - metabolism</topic><topic>Colorectal Neoplasms - pathology</topic><topic>Computational Biology - methods</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Gene Ontology</topic><topic>High-Throughput Screening Assays</topic><topic>Humans</topic><topic>Intestinal Mucosa - metabolism</topic><topic>Intestinal Mucosa - pathology</topic><topic>Male</topic><topic>Neoplasm Grading</topic><topic>Neoplasm Staging</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Proteome</topic><topic>Proteomics - methods</topic><topic>Research Paper</topic><toplevel>online_resources</toplevel><creatorcontrib>Yu, Jiekai</creatorcontrib><creatorcontrib>Li, Xiaofen</creatorcontrib><creatorcontrib>Zhong, Chenhan</creatorcontrib><creatorcontrib>Li, Dan</creatorcontrib><creatorcontrib>Zhai, Xiaohui</creatorcontrib><creatorcontrib>Hu, Wangxiong</creatorcontrib><creatorcontrib>Guo, Cheng</creatorcontrib><creatorcontrib>Yuan, Ying</creatorcontrib><creatorcontrib>Zheng, Shu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncotarget</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Jiekai</au><au>Li, Xiaofen</au><au>Zhong, Chenhan</au><au>Li, Dan</au><au>Zhai, Xiaohui</au><au>Hu, Wangxiong</au><au>Guo, Cheng</au><au>Yuan, Ying</au><au>Zheng, Shu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers</atitle><jtitle>Oncotarget</jtitle><addtitle>Oncotarget</addtitle><date>2016-11-15</date><risdate>2016</risdate><volume>7</volume><issue>46</issue><spage>75279</spage><epage>75292</epage><pages>75279-75292</pages><issn>1949-2553</issn><eissn>1949-2553</eissn><abstract>Proteins, as executives of genes' instructions, are responsible for cellular phenotypes. Integratingproteomics 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 &gt;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. ELISAresults 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.</abstract><cop>United States</cop><pub>Impact Journals LLC</pub><pmid>27661117</pmid><doi>10.18632/oncotarget.12143</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
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subjects Biomarkers, Tumor
Cell Proliferation
Colorectal Neoplasms - genetics
Colorectal Neoplasms - metabolism
Colorectal Neoplasms - pathology
Computational Biology - methods
Disease Progression
Female
Gene Ontology
High-Throughput Screening Assays
Humans
Intestinal Mucosa - metabolism
Intestinal Mucosa - pathology
Male
Neoplasm Grading
Neoplasm Staging
Oligonucleotide Array Sequence Analysis
Proteome
Proteomics - methods
Research Paper
title High-throughput proteomics integrated with gene microarray for discovery of colorectal cancer potential biomarkers
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