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CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome

An effective tool for the global analysis of both DNA methylation status and protein–chromatin interactions is a microarray constructed with sequences containing regulatory elements. One type of array suited for this purpose takes advantage of the strong association between CpG Islands (CGIs) and ge...

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Autores principales: Heisler, Lawrence E., Torti, Dax, Boutros, Paul C., Watson, John, Chan, Charles, Winegarden, Neil, Takahashi, Mark, Yau, Patrick, Huang, Tim H.-M., Farnham, Peggy J., Jurisica, Igor, Woodgett, James R., Bremner, Rod, Penn, Linda Z., Der, Sandy D.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1137027/
https://www.ncbi.nlm.nih.gov/pubmed/15911630
http://dx.doi.org/10.1093/nar/gki582
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author Heisler, Lawrence E.
Torti, Dax
Boutros, Paul C.
Watson, John
Chan, Charles
Winegarden, Neil
Takahashi, Mark
Yau, Patrick
Huang, Tim H.-M.
Farnham, Peggy J.
Jurisica, Igor
Woodgett, James R.
Bremner, Rod
Penn, Linda Z.
Der, Sandy D.
author_facet Heisler, Lawrence E.
Torti, Dax
Boutros, Paul C.
Watson, John
Chan, Charles
Winegarden, Neil
Takahashi, Mark
Yau, Patrick
Huang, Tim H.-M.
Farnham, Peggy J.
Jurisica, Igor
Woodgett, James R.
Bremner, Rod
Penn, Linda Z.
Der, Sandy D.
author_sort Heisler, Lawrence E.
collection PubMed
description An effective tool for the global analysis of both DNA methylation status and protein–chromatin interactions is a microarray constructed with sequences containing regulatory elements. One type of array suited for this purpose takes advantage of the strong association between CpG Islands (CGIs) and gene regulatory regions. We have obtained 20 736 clones from a CGI Library and used these to construct CGI arrays. The utility of this library requires proper annotation and assessment of the clones, including CpG content, genomic origin and proximity to neighboring genes. Alignment of clone sequences to the human genome (UCSC hg17) identified 9595 distinct genomic loci; 64% were defined by a single clone while the remaining 36% were represented by multiple, redundant clones. Approximately 68% of the loci were located near a transcription start site. The distribution of these loci covered all 23 chromosomes, with 63% overlapping a bioinformatically identified CGI. The high representation of genomic CGI in this rich collection of clones supports the utilization of microarrays produced with this library for the study of global epigenetic mechanisms and protein–chromatin interactions. A browsable database is available on-line to facilitate exploration of the CGIs in this library and their association with annotated genes or promoter elements.
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spelling pubmed-11370272005-05-23 CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome Heisler, Lawrence E. Torti, Dax Boutros, Paul C. Watson, John Chan, Charles Winegarden, Neil Takahashi, Mark Yau, Patrick Huang, Tim H.-M. Farnham, Peggy J. Jurisica, Igor Woodgett, James R. Bremner, Rod Penn, Linda Z. Der, Sandy D. Nucleic Acids Res Article An effective tool for the global analysis of both DNA methylation status and protein–chromatin interactions is a microarray constructed with sequences containing regulatory elements. One type of array suited for this purpose takes advantage of the strong association between CpG Islands (CGIs) and gene regulatory regions. We have obtained 20 736 clones from a CGI Library and used these to construct CGI arrays. The utility of this library requires proper annotation and assessment of the clones, including CpG content, genomic origin and proximity to neighboring genes. Alignment of clone sequences to the human genome (UCSC hg17) identified 9595 distinct genomic loci; 64% were defined by a single clone while the remaining 36% were represented by multiple, redundant clones. Approximately 68% of the loci were located near a transcription start site. The distribution of these loci covered all 23 chromosomes, with 63% overlapping a bioinformatically identified CGI. The high representation of genomic CGI in this rich collection of clones supports the utilization of microarrays produced with this library for the study of global epigenetic mechanisms and protein–chromatin interactions. A browsable database is available on-line to facilitate exploration of the CGIs in this library and their association with annotated genes or promoter elements. Oxford University Press 2005 2005-05-23 /pmc/articles/PMC1137027/ /pubmed/15911630 http://dx.doi.org/10.1093/nar/gki582 Text en © The Author 2005. Published by Oxford University Press. All rights reserved
spellingShingle Article
Heisler, Lawrence E.
Torti, Dax
Boutros, Paul C.
Watson, John
Chan, Charles
Winegarden, Neil
Takahashi, Mark
Yau, Patrick
Huang, Tim H.-M.
Farnham, Peggy J.
Jurisica, Igor
Woodgett, James R.
Bremner, Rod
Penn, Linda Z.
Der, Sandy D.
CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome
title CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome
title_full CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome
title_fullStr CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome
title_full_unstemmed CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome
title_short CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome
title_sort cpg island microarray probe sequences derived from a physical library are representative of cpg islands annotated on the human genome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1137027/
https://www.ncbi.nlm.nih.gov/pubmed/15911630
http://dx.doi.org/10.1093/nar/gki582
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