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Novel expressed sequences identified in a model of androgen independent prostate cancer

BACKGROUND: Prostate cancer is the most frequently diagnosed cancer in American men, and few effective treatment options are available to patients who develop hormone-refractory prostate cancer. The molecular changes that occur to allow prostate cells to proliferate in the absence of androgens are n...

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Autores principales: Quayle, Steven N, Hare, Heidi, Delaney, Allen D, Hirst, Martin, Hwang, Dorothy, Schein, Jacqueline E, Jones, Steven JM, Marra, Marco A, Sadar, Marianne D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1790899/
https://www.ncbi.nlm.nih.gov/pubmed/17257419
http://dx.doi.org/10.1186/1471-2164-8-32
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author Quayle, Steven N
Hare, Heidi
Delaney, Allen D
Hirst, Martin
Hwang, Dorothy
Schein, Jacqueline E
Jones, Steven JM
Marra, Marco A
Sadar, Marianne D
author_facet Quayle, Steven N
Hare, Heidi
Delaney, Allen D
Hirst, Martin
Hwang, Dorothy
Schein, Jacqueline E
Jones, Steven JM
Marra, Marco A
Sadar, Marianne D
author_sort Quayle, Steven N
collection PubMed
description BACKGROUND: Prostate cancer is the most frequently diagnosed cancer in American men, and few effective treatment options are available to patients who develop hormone-refractory prostate cancer. The molecular changes that occur to allow prostate cells to proliferate in the absence of androgens are not fully understood. RESULTS: Subtractive hybridization experiments performed with samples from an in vivo model of hormonal progression identified 25 expressed sequences representing novel human transcripts. Intriguingly, these 25 sequences have small open-reading frames and are not highly conserved through evolution, suggesting many of these novel expressed sequences may be derived from untranslated regions of novel transcripts or from non-coding transcripts. Examination of a large metalibrary of human Serial Analysis of Gene Expression (SAGE) tags demonstrated that only three of these novel sequences had been previously detected. RT-PCR experiments confirmed that the 6 sequences tested were expressed in specific human tissues, as well as in clinical samples of prostate cancer. Further RT-PCR experiments for five of these fragments indicated they originated from large untranslated regions of unannotated transcripts. CONCLUSION: This study underlines the value of using complementary techniques in the annotation of the human genome. The tissue-specific expression of 4 of the 6 clones tested indicates the expression of these novel transcripts is tightly regulated, and future work will determine the possible role(s) these novel transcripts may play in the progression of prostate cancer.
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spelling pubmed-17908992007-02-03 Novel expressed sequences identified in a model of androgen independent prostate cancer Quayle, Steven N Hare, Heidi Delaney, Allen D Hirst, Martin Hwang, Dorothy Schein, Jacqueline E Jones, Steven JM Marra, Marco A Sadar, Marianne D BMC Genomics Research Article BACKGROUND: Prostate cancer is the most frequently diagnosed cancer in American men, and few effective treatment options are available to patients who develop hormone-refractory prostate cancer. The molecular changes that occur to allow prostate cells to proliferate in the absence of androgens are not fully understood. RESULTS: Subtractive hybridization experiments performed with samples from an in vivo model of hormonal progression identified 25 expressed sequences representing novel human transcripts. Intriguingly, these 25 sequences have small open-reading frames and are not highly conserved through evolution, suggesting many of these novel expressed sequences may be derived from untranslated regions of novel transcripts or from non-coding transcripts. Examination of a large metalibrary of human Serial Analysis of Gene Expression (SAGE) tags demonstrated that only three of these novel sequences had been previously detected. RT-PCR experiments confirmed that the 6 sequences tested were expressed in specific human tissues, as well as in clinical samples of prostate cancer. Further RT-PCR experiments for five of these fragments indicated they originated from large untranslated regions of unannotated transcripts. CONCLUSION: This study underlines the value of using complementary techniques in the annotation of the human genome. The tissue-specific expression of 4 of the 6 clones tested indicates the expression of these novel transcripts is tightly regulated, and future work will determine the possible role(s) these novel transcripts may play in the progression of prostate cancer. BioMed Central 2007-01-26 /pmc/articles/PMC1790899/ /pubmed/17257419 http://dx.doi.org/10.1186/1471-2164-8-32 Text en Copyright © 2007 Quayle et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Quayle, Steven N
Hare, Heidi
Delaney, Allen D
Hirst, Martin
Hwang, Dorothy
Schein, Jacqueline E
Jones, Steven JM
Marra, Marco A
Sadar, Marianne D
Novel expressed sequences identified in a model of androgen independent prostate cancer
title Novel expressed sequences identified in a model of androgen independent prostate cancer
title_full Novel expressed sequences identified in a model of androgen independent prostate cancer
title_fullStr Novel expressed sequences identified in a model of androgen independent prostate cancer
title_full_unstemmed Novel expressed sequences identified in a model of androgen independent prostate cancer
title_short Novel expressed sequences identified in a model of androgen independent prostate cancer
title_sort novel expressed sequences identified in a model of androgen independent prostate cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1790899/
https://www.ncbi.nlm.nih.gov/pubmed/17257419
http://dx.doi.org/10.1186/1471-2164-8-32
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