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Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease

BACKGROUND: Studies using microarray analysis of colorectal cancer have been generally beleaguered by the lack of a normal cell population of the same lineage as the tumor cell. One of the main objectives of this study was to generate a reference gene expression data set for normal colonic epitheliu...

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Detalles Bibliográficos
Autores principales: Mojica, Wilfrido, Hawthorn, Lesleyann
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823691/
https://www.ncbi.nlm.nih.gov/pubmed/20047688
http://dx.doi.org/10.1186/1471-2164-11-5
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author Mojica, Wilfrido
Hawthorn, Lesleyann
author_facet Mojica, Wilfrido
Hawthorn, Lesleyann
author_sort Mojica, Wilfrido
collection PubMed
description BACKGROUND: Studies using microarray analysis of colorectal cancer have been generally beleaguered by the lack of a normal cell population of the same lineage as the tumor cell. One of the main objectives of this study was to generate a reference gene expression data set for normal colonic epithelium which can be used in comparisons with diseased tissues, as well as to provide a dataset that could be used as a baseline for studies in alternative splicing. RESULTS: We present a dependable expression reference data set for non-neoplastic colonic epithelial cells. An enriched population of fresh colon epithelial cells were obtained from non-neoplastic, colectomy specimens and analyzed using Affymetrix GeneChip EXON 1.0 ST arrays. For demonstration purposes, we have compared the data derived from these cells to a publically available set of tumor and matched normal colon data. This analysis allowed an assessment of global gene expression alterations and demonstrated that adjacent normal tissues, with a high degree of cellular heterogeneity, are not always representative of normal cells for comparison to tumors which arise from the colon epithelium. We also examined alternative splicing events in tumors compared to normal colon epithelial cells. CONCLUSIONS: The findings from this study represent the first comprehensive expression profile for non-neoplastic colonic epithelial cells reported. Our analysis of splice variants illustrate that this is a very labor intensive procedure, requiring vigilant examination of the data. It is projected that the contribution of this set of data derived from pure colonic epithelial cells will enhance studies in colon-related disease and offer a vital baseline for studies aimed at elucidating the mechanisms of alternative splicing.
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spelling pubmed-28236912010-02-18 Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease Mojica, Wilfrido Hawthorn, Lesleyann BMC Genomics Research Article BACKGROUND: Studies using microarray analysis of colorectal cancer have been generally beleaguered by the lack of a normal cell population of the same lineage as the tumor cell. One of the main objectives of this study was to generate a reference gene expression data set for normal colonic epithelium which can be used in comparisons with diseased tissues, as well as to provide a dataset that could be used as a baseline for studies in alternative splicing. RESULTS: We present a dependable expression reference data set for non-neoplastic colonic epithelial cells. An enriched population of fresh colon epithelial cells were obtained from non-neoplastic, colectomy specimens and analyzed using Affymetrix GeneChip EXON 1.0 ST arrays. For demonstration purposes, we have compared the data derived from these cells to a publically available set of tumor and matched normal colon data. This analysis allowed an assessment of global gene expression alterations and demonstrated that adjacent normal tissues, with a high degree of cellular heterogeneity, are not always representative of normal cells for comparison to tumors which arise from the colon epithelium. We also examined alternative splicing events in tumors compared to normal colon epithelial cells. CONCLUSIONS: The findings from this study represent the first comprehensive expression profile for non-neoplastic colonic epithelial cells reported. Our analysis of splice variants illustrate that this is a very labor intensive procedure, requiring vigilant examination of the data. It is projected that the contribution of this set of data derived from pure colonic epithelial cells will enhance studies in colon-related disease and offer a vital baseline for studies aimed at elucidating the mechanisms of alternative splicing. BioMed Central 2010-01-04 /pmc/articles/PMC2823691/ /pubmed/20047688 http://dx.doi.org/10.1186/1471-2164-11-5 Text en Copyright ©2010 Mojica and Hawthorn; 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
Mojica, Wilfrido
Hawthorn, Lesleyann
Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease
title Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease
title_full Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease
title_fullStr Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease
title_full_unstemmed Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease
title_short Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease
title_sort normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823691/
https://www.ncbi.nlm.nih.gov/pubmed/20047688
http://dx.doi.org/10.1186/1471-2164-11-5
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