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A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma
Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study...
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Published in: | Advances in medical sciences 2012-06, Vol.57 (1), p.37-45 |
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creator | Patil, N Abba, M Hödl, P Schwarzbach, M Allgayer, H |
description | Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts.
In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues.
Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts.
This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications. |
doi_str_mv | 10.2478/v10039-012-0018-6 |
format | article |
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In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues.
Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts.
This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications.</description><identifier>ISSN: 1896-1126</identifier><identifier>EISSN: 1898-4002</identifier><identifier>DOI: 10.2478/v10039-012-0018-6</identifier><identifier>PMID: 22543255</identifier><language>eng</language><publisher>Netherlands: Elsevier Urban & Partner Sp. z o.o</publisher><subject>detection ; FUS-CHOP ; fusion transcript ; Humans ; In Vitro Techniques ; liposarcoma ; Liposarcoma - genetics ; Oncogene Proteins, Fusion - genetics ; Polymerase Chain Reaction ; Real-Time Polymerase Chain Reaction - methods ; RNA-Binding Protein FUS - genetics ; Transcription Factor CHOP - genetics</subject><ispartof>Advances in medical sciences, 2012-06, Vol.57 (1), p.37-45</ispartof><rights>2012 Medical University of Bialystok</rights><rights>Copyright Versita 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-3c6c5e71a328d262ec2531083208356d4f73cc6f8e6476a0f7ad16be8aa898333</citedby><cites>FETCH-LOGICAL-c436t-3c6c5e71a328d262ec2531083208356d4f73cc6f8e6476a0f7ad16be8aa898333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22543255$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Patil, N</creatorcontrib><creatorcontrib>Abba, M</creatorcontrib><creatorcontrib>Hödl, P</creatorcontrib><creatorcontrib>Schwarzbach, M</creatorcontrib><creatorcontrib>Allgayer, H</creatorcontrib><title>A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma</title><title>Advances in medical sciences</title><addtitle>Adv Med Sci</addtitle><description>Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts.
In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues.
Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts.
This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications.</description><subject>detection</subject><subject>FUS-CHOP</subject><subject>fusion transcript</subject><subject>Humans</subject><subject>In Vitro Techniques</subject><subject>liposarcoma</subject><subject>Liposarcoma - genetics</subject><subject>Oncogene Proteins, Fusion - genetics</subject><subject>Polymerase Chain Reaction</subject><subject>Real-Time Polymerase Chain Reaction - methods</subject><subject>RNA-Binding Protein FUS - genetics</subject><subject>Transcription Factor CHOP - genetics</subject><issn>1896-1126</issn><issn>1898-4002</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kV1rFTEQhoNYbK3-AG8k4E1vovnYzaYIQjlYKxRa1F6HOdlZT8ruZk-SPdJ_b063igjtRcgQnnmYzEvIG8Hfy6oxH3aCc3XKuJCMc2GYfkaOhDk1rOJcPr-vNRNC6kPyMqVbzrXUnL8gh1LWlZJ1fUS2ZzQi9DT7Aen16htdQ8KWwjTFAG5DuxBp3iDdzjBmnyH7HdIWM7rsw0hDR89vvrPVxdU17ea0f8oRxuSin3KifqSbeYCR9n4KCaILA7wiBx30CV8_3Mfk5vzzj9UFu7z68nV1dslcpXRmymlXYyNASdNKLdHJWglulCyn1m3VNco53RnUVaOBdw20Qq_RAJQNKKWOycniLT_ZzpiyHXxy2PcwYpiTFbyYZKNNVdB3_6G3YY5jmc4KJQXXBRWFEgvlYkgpYmen6AeId0Vl93nYJQ9b8rD7PKwuPW8fzPN6wPZvx58ACvBpAX5BnzG2-DPOd6X4Z4LH5HUjVFMEHxcBll3ufOlMzuPosPWxhGTb4J-Y7zfFVat1</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Patil, N</creator><creator>Abba, M</creator><creator>Hödl, P</creator><creator>Schwarzbach, M</creator><creator>Allgayer, H</creator><general>Elsevier Urban & Partner Sp. z o.o</general><general>Versita</general><general>Elsevier Limited</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BYOGL</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20120601</creationdate><title>A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma</title><author>Patil, N ; Abba, M ; Hödl, P ; Schwarzbach, M ; Allgayer, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-3c6c5e71a328d262ec2531083208356d4f73cc6f8e6476a0f7ad16be8aa898333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>detection</topic><topic>FUS-CHOP</topic><topic>fusion transcript</topic><topic>Humans</topic><topic>In Vitro Techniques</topic><topic>liposarcoma</topic><topic>Liposarcoma - genetics</topic><topic>Oncogene Proteins, Fusion - genetics</topic><topic>Polymerase Chain Reaction</topic><topic>Real-Time Polymerase Chain Reaction - methods</topic><topic>RNA-Binding Protein FUS - genetics</topic><topic>Transcription Factor CHOP - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patil, N</creatorcontrib><creatorcontrib>Abba, M</creatorcontrib><creatorcontrib>Hödl, P</creatorcontrib><creatorcontrib>Schwarzbach, M</creatorcontrib><creatorcontrib>Allgayer, H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Databases</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Advances in medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patil, N</au><au>Abba, M</au><au>Hödl, P</au><au>Schwarzbach, M</au><au>Allgayer, H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma</atitle><jtitle>Advances in medical sciences</jtitle><addtitle>Adv Med Sci</addtitle><date>2012-06-01</date><risdate>2012</risdate><volume>57</volume><issue>1</issue><spage>37</spage><epage>45</epage><pages>37-45</pages><issn>1896-1126</issn><eissn>1898-4002</eissn><abstract>Histology still forms the backbone for the diagnosis of the myxoid and round cell subtypes of liposarcoma but the molecular identification of the different transcript variants remains a challenge, due, in part, to the complexity of multiple overlapping exons that they share between them. This study was conducted to develop and evaluate a more sensitive platform than existing semi-quantitative approaches for detecting FUS-CHOP transcripts.
In the present investigation we describe a novel approach using real-time PCR to identify and differentiate the fusion transcripts formed in the t(12; 16)(q13; p11) chromosomal translocation. This method is founded on the basis of transcript individualized primers and probes, which were designed to detect specifically the different variants in both frozen and FFPE tissues.
Our results show that the method is highly specific, sensitive, and superior to the widely used nested PCR approach, and is accurately able to differentiate the most common variants, as well as quantify copy numbers. Primer amplification and probe detection of FUS-CHOP from genomic DNA of human, mouse, cocker spaniel and chicken sources all resulted in completely negative results indicating this technique is specific for human RNA derived transcripts.
This new method offers an additional tool in the investigation of liposarcoma that may impact considerably on missed diagnosis and it's accompanying clinical ramifications.</abstract><cop>Netherlands</cop><pub>Elsevier Urban & Partner Sp. z o.o</pub><pmid>22543255</pmid><doi>10.2478/v10039-012-0018-6</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | detection FUS-CHOP fusion transcript Humans In Vitro Techniques liposarcoma Liposarcoma - genetics Oncogene Proteins, Fusion - genetics Polymerase Chain Reaction Real-Time Polymerase Chain Reaction - methods RNA-Binding Protein FUS - genetics Transcription Factor CHOP - genetics |
title | A real time PCR based approach for the quantitative detection of FUS-CHOP fusion transcripts in human liposarcoma |
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