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Integrated Analysis of Gene Expression, CpG Island Methylation, and Gene Copy Number in Breast Cancer Cells by Deep Sequencing

We used deep sequencing technology to profile the transcriptome, gene copy number, and CpG island methylation status simultaneously in eight commonly used breast cell lines to develop a model for how these genomic features are integrated in estrogen receptor positive (ER+) and negative breast cancer...

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Autores principales: Sun, Zhifu, Asmann, Yan W., Kalari, Krishna R., Bot, Brian, Eckel-Passow, Jeanette E., Baker, Tiffany R., Carr, Jennifer M., Khrebtukova, Irina, Luo, Shujun, Zhang, Lu, Schroth, Gary P., Perez, Edith A., Thompson, E. Aubrey
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045451/
https://www.ncbi.nlm.nih.gov/pubmed/21364760
http://dx.doi.org/10.1371/journal.pone.0017490
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author Sun, Zhifu
Asmann, Yan W.
Kalari, Krishna R.
Bot, Brian
Eckel-Passow, Jeanette E.
Baker, Tiffany R.
Carr, Jennifer M.
Khrebtukova, Irina
Luo, Shujun
Zhang, Lu
Schroth, Gary P.
Perez, Edith A.
Thompson, E. Aubrey
author_facet Sun, Zhifu
Asmann, Yan W.
Kalari, Krishna R.
Bot, Brian
Eckel-Passow, Jeanette E.
Baker, Tiffany R.
Carr, Jennifer M.
Khrebtukova, Irina
Luo, Shujun
Zhang, Lu
Schroth, Gary P.
Perez, Edith A.
Thompson, E. Aubrey
author_sort Sun, Zhifu
collection PubMed
description We used deep sequencing technology to profile the transcriptome, gene copy number, and CpG island methylation status simultaneously in eight commonly used breast cell lines to develop a model for how these genomic features are integrated in estrogen receptor positive (ER+) and negative breast cancer. Total mRNA sequence, gene copy number, and genomic CpG island methylation were carried out using the Illumina Genome Analyzer. Sequences were mapped to the human genome to obtain digitized gene expression data, DNA copy number in reference to the non-tumor cell line (MCF10A), and methylation status of 21,570 CpG islands to identify differentially expressed genes that were correlated with methylation or copy number changes. These were evaluated in a dataset from 129 primary breast tumors. Gene expression in cell lines was dominated by ER-associated genes. ER+ and ER− cell lines formed two distinct, stable clusters, and 1,873 genes were differentially expressed in the two groups. Part of chromosome 8 was deleted in all ER− cells and part of chromosome 17 amplified in all ER+ cells. These loci encoded 30 genes that were overexpressed in ER+ cells; 9 of these genes were overexpressed in ER+ tumors. We identified 149 differentially expressed genes that exhibited differential methylation of one or more CpG islands within 5 kb of the 5′ end of the gene and for which mRNA abundance was inversely correlated with CpG island methylation status. In primary tumors we identified 84 genes that appear to be robust components of the methylation signature that we identified in ER+ cell lines. Our analyses reveal a global pattern of differential CpG island methylation that contributes to the transcriptome landscape of ER+ and ER− breast cancer cells and tumors. The role of gene amplification/deletion appears to more modest, although several potentially significant genes appear to be regulated by copy number aberrations.
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spelling pubmed-30454512011-03-01 Integrated Analysis of Gene Expression, CpG Island Methylation, and Gene Copy Number in Breast Cancer Cells by Deep Sequencing Sun, Zhifu Asmann, Yan W. Kalari, Krishna R. Bot, Brian Eckel-Passow, Jeanette E. Baker, Tiffany R. Carr, Jennifer M. Khrebtukova, Irina Luo, Shujun Zhang, Lu Schroth, Gary P. Perez, Edith A. Thompson, E. Aubrey PLoS One Research Article We used deep sequencing technology to profile the transcriptome, gene copy number, and CpG island methylation status simultaneously in eight commonly used breast cell lines to develop a model for how these genomic features are integrated in estrogen receptor positive (ER+) and negative breast cancer. Total mRNA sequence, gene copy number, and genomic CpG island methylation were carried out using the Illumina Genome Analyzer. Sequences were mapped to the human genome to obtain digitized gene expression data, DNA copy number in reference to the non-tumor cell line (MCF10A), and methylation status of 21,570 CpG islands to identify differentially expressed genes that were correlated with methylation or copy number changes. These were evaluated in a dataset from 129 primary breast tumors. Gene expression in cell lines was dominated by ER-associated genes. ER+ and ER− cell lines formed two distinct, stable clusters, and 1,873 genes were differentially expressed in the two groups. Part of chromosome 8 was deleted in all ER− cells and part of chromosome 17 amplified in all ER+ cells. These loci encoded 30 genes that were overexpressed in ER+ cells; 9 of these genes were overexpressed in ER+ tumors. We identified 149 differentially expressed genes that exhibited differential methylation of one or more CpG islands within 5 kb of the 5′ end of the gene and for which mRNA abundance was inversely correlated with CpG island methylation status. In primary tumors we identified 84 genes that appear to be robust components of the methylation signature that we identified in ER+ cell lines. Our analyses reveal a global pattern of differential CpG island methylation that contributes to the transcriptome landscape of ER+ and ER− breast cancer cells and tumors. The role of gene amplification/deletion appears to more modest, although several potentially significant genes appear to be regulated by copy number aberrations. Public Library of Science 2011-02-25 /pmc/articles/PMC3045451/ /pubmed/21364760 http://dx.doi.org/10.1371/journal.pone.0017490 Text en Sun et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sun, Zhifu
Asmann, Yan W.
Kalari, Krishna R.
Bot, Brian
Eckel-Passow, Jeanette E.
Baker, Tiffany R.
Carr, Jennifer M.
Khrebtukova, Irina
Luo, Shujun
Zhang, Lu
Schroth, Gary P.
Perez, Edith A.
Thompson, E. Aubrey
Integrated Analysis of Gene Expression, CpG Island Methylation, and Gene Copy Number in Breast Cancer Cells by Deep Sequencing
title Integrated Analysis of Gene Expression, CpG Island Methylation, and Gene Copy Number in Breast Cancer Cells by Deep Sequencing
title_full Integrated Analysis of Gene Expression, CpG Island Methylation, and Gene Copy Number in Breast Cancer Cells by Deep Sequencing
title_fullStr Integrated Analysis of Gene Expression, CpG Island Methylation, and Gene Copy Number in Breast Cancer Cells by Deep Sequencing
title_full_unstemmed Integrated Analysis of Gene Expression, CpG Island Methylation, and Gene Copy Number in Breast Cancer Cells by Deep Sequencing
title_short Integrated Analysis of Gene Expression, CpG Island Methylation, and Gene Copy Number in Breast Cancer Cells by Deep Sequencing
title_sort integrated analysis of gene expression, cpg island methylation, and gene copy number in breast cancer cells by deep sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045451/
https://www.ncbi.nlm.nih.gov/pubmed/21364760
http://dx.doi.org/10.1371/journal.pone.0017490
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