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Selecting housekeeping genes as references for the normalization of quantitative PCR data in breast cancer

Objective The common reference genes of choice in relative gene expression studies based on quantitative real time polymerase chain reaction, ACTB and B2M , were shown to be regulated differently in respect to tissue type. In this study, the stability of the selected housekeeping genes for normalizi...

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Published in:Clinical & translational oncology 2014-02, Vol.16 (2), p.184-190
Main Authors: Kılıç, Y., Çelebiler, A. Ç., Sakızlı, M.
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creator Kılıç, Y.
Çelebiler, A. Ç.
Sakızlı, M.
description Objective The common reference genes of choice in relative gene expression studies based on quantitative real time polymerase chain reaction, ACTB and B2M , were shown to be regulated differently in respect to tissue type. In this study, the stability of the selected housekeeping genes for normalizing the qPCR data were identified in the tumor and its adjacent tissues in invasive breast cancer, and the variability of their levels according to the stages and the histopathologic subtypes was analyzed. Methods Four housekeeping genes: PUM1 , RPL13A , B2M , and ACTB were analyzed in 99 surgically excised tissue specimens (50 tumor, 45 tumor adjacent and 4 normal breast tissues). Three of the most common softwares (GeNorm, NormFinder, and BestKeeper) were used for calculation purposes. Results When all of the tissue samples were included in analyses, PUM1 was the most stable gene according to calculations made with both NormFinder and BestKeeper; while PUM1 / RPL13A combination was the most stable by GeNorm software. The PUM1 gene was also identified as the most stable gene among the four in all sample groups (in both Estrogen Receptor positive and Estrogen Receptor negative subgroups of invasive breast carcinoma and in normal breast tissue) according to calculations made using the NormFinder software. Conclusion While suggesting PUM1 is one of the most stable single gene and the PUM1 / RPL13A pair as one of the best housekeeping genes for the normalization of expression studies in invasive breast tumor studies, it will be more practical to evaluate stability once more and decide upon the reference gene accordingly within the sample group itself.
doi_str_mv 10.1007/s12094-013-1058-5
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Ç. ; Sakızlı, M.</creator><creatorcontrib>Kılıç, Y. ; Çelebiler, A. Ç. ; Sakızlı, M.</creatorcontrib><description>Objective The common reference genes of choice in relative gene expression studies based on quantitative real time polymerase chain reaction, ACTB and B2M , were shown to be regulated differently in respect to tissue type. In this study, the stability of the selected housekeeping genes for normalizing the qPCR data were identified in the tumor and its adjacent tissues in invasive breast cancer, and the variability of their levels according to the stages and the histopathologic subtypes was analyzed. Methods Four housekeeping genes: PUM1 , RPL13A , B2M , and ACTB were analyzed in 99 surgically excised tissue specimens (50 tumor, 45 tumor adjacent and 4 normal breast tissues). Three of the most common softwares (GeNorm, NormFinder, and BestKeeper) were used for calculation purposes. Results When all of the tissue samples were included in analyses, PUM1 was the most stable gene according to calculations made with both NormFinder and BestKeeper; while PUM1 / RPL13A combination was the most stable by GeNorm software. The PUM1 gene was also identified as the most stable gene among the four in all sample groups (in both Estrogen Receptor positive and Estrogen Receptor negative subgroups of invasive breast carcinoma and in normal breast tissue) according to calculations made using the NormFinder software. Conclusion While suggesting PUM1 is one of the most stable single gene and the PUM1 / RPL13A pair as one of the best housekeeping genes for the normalization of expression studies in invasive breast tumor studies, it will be more practical to evaluate stability once more and decide upon the reference gene accordingly within the sample group itself.</description><identifier>ISSN: 1699-048X</identifier><identifier>EISSN: 1699-3055</identifier><identifier>DOI: 10.1007/s12094-013-1058-5</identifier><identifier>PMID: 23720140</identifier><language>eng</language><publisher>Milan: Springer Milan</publisher><subject>Actins - genetics ; beta 2-Microglobulin - genetics ; Breast Neoplasms - epidemiology ; Breast Neoplasms - genetics ; Female ; Gene Expression Profiling - methods ; Gene Expression Profiling - standards ; Gene Expression Regulation, Neoplastic ; Genes, Essential ; Humans ; Medicine ; Medicine &amp; Public Health ; Oncology ; Reference Standards ; Research Article ; Reverse Transcriptase Polymerase Chain Reaction - standards ; Ribosomal Proteins - genetics ; RNA Stability ; RNA-Binding Proteins - genetics</subject><ispartof>Clinical &amp; translational oncology, 2014-02, Vol.16 (2), p.184-190</ispartof><rights>Federación de Sociedades Españolas de Oncología (FESEO) 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c344t-b9a6118a88fdbc5d8920e5145f4252e07bfd27da81cb778c1b6837ce3ce6e8b93</citedby><cites>FETCH-LOGICAL-c344t-b9a6118a88fdbc5d8920e5145f4252e07bfd27da81cb778c1b6837ce3ce6e8b93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23720140$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kılıç, Y.</creatorcontrib><creatorcontrib>Çelebiler, A. Ç.</creatorcontrib><creatorcontrib>Sakızlı, M.</creatorcontrib><title>Selecting housekeeping genes as references for the normalization of quantitative PCR data in breast cancer</title><title>Clinical &amp; translational oncology</title><addtitle>Clin Transl Oncol</addtitle><addtitle>Clin Transl Oncol</addtitle><description>Objective The common reference genes of choice in relative gene expression studies based on quantitative real time polymerase chain reaction, ACTB and B2M , were shown to be regulated differently in respect to tissue type. In this study, the stability of the selected housekeeping genes for normalizing the qPCR data were identified in the tumor and its adjacent tissues in invasive breast cancer, and the variability of their levels according to the stages and the histopathologic subtypes was analyzed. Methods Four housekeeping genes: PUM1 , RPL13A , B2M , and ACTB were analyzed in 99 surgically excised tissue specimens (50 tumor, 45 tumor adjacent and 4 normal breast tissues). Three of the most common softwares (GeNorm, NormFinder, and BestKeeper) were used for calculation purposes. Results When all of the tissue samples were included in analyses, PUM1 was the most stable gene according to calculations made with both NormFinder and BestKeeper; while PUM1 / RPL13A combination was the most stable by GeNorm software. The PUM1 gene was also identified as the most stable gene among the four in all sample groups (in both Estrogen Receptor positive and Estrogen Receptor negative subgroups of invasive breast carcinoma and in normal breast tissue) according to calculations made using the NormFinder software. Conclusion While suggesting PUM1 is one of the most stable single gene and the PUM1 / RPL13A pair as one of the best housekeeping genes for the normalization of expression studies in invasive breast tumor studies, it will be more practical to evaluate stability once more and decide upon the reference gene accordingly within the sample group itself.</description><subject>Actins - genetics</subject><subject>beta 2-Microglobulin - genetics</subject><subject>Breast Neoplasms - epidemiology</subject><subject>Breast Neoplasms - genetics</subject><subject>Female</subject><subject>Gene Expression Profiling - methods</subject><subject>Gene Expression Profiling - standards</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genes, Essential</subject><subject>Humans</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Oncology</subject><subject>Reference Standards</subject><subject>Research Article</subject><subject>Reverse Transcriptase Polymerase Chain Reaction - standards</subject><subject>Ribosomal Proteins - genetics</subject><subject>RNA Stability</subject><subject>RNA-Binding Proteins - genetics</subject><issn>1699-048X</issn><issn>1699-3055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9UMtOwzAQtBCIQuEDuCAfuQT8iBPniCpeUiUQD4mb5TibNiV1WttBgq_HUQpHTrtjz4x2BqEzSi4pIfmVp4wUaUIoTygRMhF76IhmRZFwIsT-biepfJ-gY-9XJL5mlB6iCeM5IzQlR2j1Ai2Y0NgFXna9hw-AzQAWYMFj7bGDGhxYE1HdORyWgG3n1rptvnVoOou7Gm97bUMTIv4E_DR7xpUOGjcWlw60D9joqHcn6KDWrYfT3Zyit9ub19l9Mn-8e5hdzxPD0zQkZaHjkVJLWVelEZUsGAFBU1GnTDAgeVlXLK-0pKbMc2lomUmeG-AGMpBlwafoYvTduG7bgw9q3XgDbastxIiKpgXPi0wSEal0pBrXeR-jqo1r1tp9KUrUULEaK1axYjVUrAbN-c6-L9dQ_Sl-O40ENhJ8_LILcGrV9c7GyP-4_gBViYg3</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Kılıç, Y.</creator><creator>Çelebiler, A. Ç.</creator><creator>Sakızlı, M.</creator><general>Springer Milan</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20140201</creationdate><title>Selecting housekeeping genes as references for the normalization of quantitative PCR data in breast cancer</title><author>Kılıç, Y. ; Çelebiler, A. Ç. ; Sakızlı, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c344t-b9a6118a88fdbc5d8920e5145f4252e07bfd27da81cb778c1b6837ce3ce6e8b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Actins - genetics</topic><topic>beta 2-Microglobulin - genetics</topic><topic>Breast Neoplasms - epidemiology</topic><topic>Breast Neoplasms - genetics</topic><topic>Female</topic><topic>Gene Expression Profiling - methods</topic><topic>Gene Expression Profiling - standards</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Genes, Essential</topic><topic>Humans</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Oncology</topic><topic>Reference Standards</topic><topic>Research Article</topic><topic>Reverse Transcriptase Polymerase Chain Reaction - standards</topic><topic>Ribosomal Proteins - genetics</topic><topic>RNA Stability</topic><topic>RNA-Binding Proteins - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kılıç, Y.</creatorcontrib><creatorcontrib>Çelebiler, A. Ç.</creatorcontrib><creatorcontrib>Sakızlı, M.</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><jtitle>Clinical &amp; translational oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kılıç, Y.</au><au>Çelebiler, A. Ç.</au><au>Sakızlı, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Selecting housekeeping genes as references for the normalization of quantitative PCR data in breast cancer</atitle><jtitle>Clinical &amp; translational oncology</jtitle><stitle>Clin Transl Oncol</stitle><addtitle>Clin Transl Oncol</addtitle><date>2014-02-01</date><risdate>2014</risdate><volume>16</volume><issue>2</issue><spage>184</spage><epage>190</epage><pages>184-190</pages><issn>1699-048X</issn><eissn>1699-3055</eissn><abstract>Objective The common reference genes of choice in relative gene expression studies based on quantitative real time polymerase chain reaction, ACTB and B2M , were shown to be regulated differently in respect to tissue type. In this study, the stability of the selected housekeeping genes for normalizing the qPCR data were identified in the tumor and its adjacent tissues in invasive breast cancer, and the variability of their levels according to the stages and the histopathologic subtypes was analyzed. Methods Four housekeeping genes: PUM1 , RPL13A , B2M , and ACTB were analyzed in 99 surgically excised tissue specimens (50 tumor, 45 tumor adjacent and 4 normal breast tissues). Three of the most common softwares (GeNorm, NormFinder, and BestKeeper) were used for calculation purposes. Results When all of the tissue samples were included in analyses, PUM1 was the most stable gene according to calculations made with both NormFinder and BestKeeper; while PUM1 / RPL13A combination was the most stable by GeNorm software. The PUM1 gene was also identified as the most stable gene among the four in all sample groups (in both Estrogen Receptor positive and Estrogen Receptor negative subgroups of invasive breast carcinoma and in normal breast tissue) according to calculations made using the NormFinder software. Conclusion While suggesting PUM1 is one of the most stable single gene and the PUM1 / RPL13A pair as one of the best housekeeping genes for the normalization of expression studies in invasive breast tumor studies, it will be more practical to evaluate stability once more and decide upon the reference gene accordingly within the sample group itself.</abstract><cop>Milan</cop><pub>Springer Milan</pub><pmid>23720140</pmid><doi>10.1007/s12094-013-1058-5</doi><tpages>7</tpages></addata></record>
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subjects Actins - genetics
beta 2-Microglobulin - genetics
Breast Neoplasms - epidemiology
Breast Neoplasms - genetics
Female
Gene Expression Profiling - methods
Gene Expression Profiling - standards
Gene Expression Regulation, Neoplastic
Genes, Essential
Humans
Medicine
Medicine & Public Health
Oncology
Reference Standards
Research Article
Reverse Transcriptase Polymerase Chain Reaction - standards
Ribosomal Proteins - genetics
RNA Stability
RNA-Binding Proteins - genetics
title Selecting housekeeping genes as references for the normalization of quantitative PCR data in breast cancer
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