Comprehensive serial analysis of gene expression of the cervical transcriptome
<p>Abstract</p> <p>Background</p> <p>More than half of the approximately 500,000 women diagnosed with cervical cancer worldwide each year will die from this disease. Investigation of genes expressed in precancer lesions compared to those expressed in normal cervical epi...
Main Authors: | , , , , , , , , , , , |
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BMC
2007-06-01
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Series: | BMC Genomics |
Online Access: | http://www.biomedcentral.com/1471-2164/8/142 |
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author | Ehlen Thomas van Niekerk Dirk Matisic Jasenka Lonergan Kim M Campbell Jennifer Vatcher Greg Chari Raj Shadeo Ashleen Miller Dianne Follen Michele Lam Wan L MacAulay Calum |
author_facet | Ehlen Thomas van Niekerk Dirk Matisic Jasenka Lonergan Kim M Campbell Jennifer Vatcher Greg Chari Raj Shadeo Ashleen Miller Dianne Follen Michele Lam Wan L MacAulay Calum |
author_sort | Ehlen Thomas |
collection | DOAJ |
description | <p>Abstract</p> <p>Background</p> <p>More than half of the approximately 500,000 women diagnosed with cervical cancer worldwide each year will die from this disease. Investigation of genes expressed in precancer lesions compared to those expressed in normal cervical epithelium will yield insight into the early stages of disease. As such, establishing a baseline from which to compare to, is critical in elucidating the abnormal biology of disease. In this study we examine the normal cervical tissue transcriptome and investigate the similarities and differences in relation to CIN III by Long-SAGE (L-SAGE).</p> <p>Results</p> <p>We have sequenced 691,390 tags from four L-SAGE libraries increasing the existing gene expression data on cervical tissue by 20 fold. One-hundred and eighteen unique tags were highly expressed in normal cervical tissue and 107 of them mapped to unique genes, most belong to the ribosomal, calcium-binding and keratinizing gene families. We assessed these genes for aberrant expression in CIN III and five genes showed altered expression. In addition, we have identified twelve unique HPV 16 SAGE tags in the CIN III libraries absent in the normal libraries.</p> <p>Conclusion</p> <p>Establishing a baseline of gene expression in normal cervical tissue is key for identifying changes in cancer. We demonstrate the utility of this baseline data by identifying genes with aberrant expression in CIN III when compared to normal tissue.</p> |
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issn | 1471-2164 |
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spelling | doaj.art-7abeb48a87f0463f815d0afbe6105a4d2022-12-22T01:49:43ZengBMCBMC Genomics1471-21642007-06-018114210.1186/1471-2164-8-142Comprehensive serial analysis of gene expression of the cervical transcriptomeEhlen Thomasvan Niekerk DirkMatisic JasenkaLonergan Kim MCampbell JenniferVatcher GregChari RajShadeo AshleenMiller DianneFollen MicheleLam Wan LMacAulay Calum<p>Abstract</p> <p>Background</p> <p>More than half of the approximately 500,000 women diagnosed with cervical cancer worldwide each year will die from this disease. Investigation of genes expressed in precancer lesions compared to those expressed in normal cervical epithelium will yield insight into the early stages of disease. As such, establishing a baseline from which to compare to, is critical in elucidating the abnormal biology of disease. In this study we examine the normal cervical tissue transcriptome and investigate the similarities and differences in relation to CIN III by Long-SAGE (L-SAGE).</p> <p>Results</p> <p>We have sequenced 691,390 tags from four L-SAGE libraries increasing the existing gene expression data on cervical tissue by 20 fold. One-hundred and eighteen unique tags were highly expressed in normal cervical tissue and 107 of them mapped to unique genes, most belong to the ribosomal, calcium-binding and keratinizing gene families. We assessed these genes for aberrant expression in CIN III and five genes showed altered expression. In addition, we have identified twelve unique HPV 16 SAGE tags in the CIN III libraries absent in the normal libraries.</p> <p>Conclusion</p> <p>Establishing a baseline of gene expression in normal cervical tissue is key for identifying changes in cancer. We demonstrate the utility of this baseline data by identifying genes with aberrant expression in CIN III when compared to normal tissue.</p>http://www.biomedcentral.com/1471-2164/8/142 |
spellingShingle | Ehlen Thomas van Niekerk Dirk Matisic Jasenka Lonergan Kim M Campbell Jennifer Vatcher Greg Chari Raj Shadeo Ashleen Miller Dianne Follen Michele Lam Wan L MacAulay Calum Comprehensive serial analysis of gene expression of the cervical transcriptome BMC Genomics |
title | Comprehensive serial analysis of gene expression of the cervical transcriptome |
title_full | Comprehensive serial analysis of gene expression of the cervical transcriptome |
title_fullStr | Comprehensive serial analysis of gene expression of the cervical transcriptome |
title_full_unstemmed | Comprehensive serial analysis of gene expression of the cervical transcriptome |
title_short | Comprehensive serial analysis of gene expression of the cervical transcriptome |
title_sort | comprehensive serial analysis of gene expression of the cervical transcriptome |
url | http://www.biomedcentral.com/1471-2164/8/142 |
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