Use of CpG island microarrays to identify colorectal tumors with a high degree of concurrent methylation

Publication type:
Journal article
Metadata:
Autoren
  • PS Yan
  • T Efferth
  • HL Chen
  • J Lin
  • F Rödel
  • L Fuzesi
  • THM Huang
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000176943900012&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1016/S1046-2023(02)00070-1
Externe Identifier
  • Clarivate Analytics Document Solution ID: 575JV
  • PubMed Identifier: 12095276
ISSN
1046-2023
Ausgabe der Veröffentlichung
2
Zeitschrift
METHODS
Artikelnummer
PII S1046-2023(02)00070-1
Paginierung
162 - 169
Datum der Veröffentlichung
2002
Status
Published
Titel
Use of CpG island microarrays to identify colorectal tumors with a high degree of concurrent methylation
Sub types
  • Article
Ausgabe der Zeitschrift
27

Data source: Web of Science (Lite)

Other metadata sources:
Autoren
  • Pearlly S Yan
  • Thomas Efferth
  • Hsiao-Ling Chen
  • Jeffrey Lin
  • Franz Rödel
  • Laszlo Fuzesi
  • Tim H-M Huang
DOI
10.1016/s1046-2023(02)00070-1
ISSN
1046-2023
Ausgabe der Veröffentlichung
2
Zeitschrift
Methods
Sprache
en
Paginierung
162 - 169
Datum der Veröffentlichung
2002
Status
Published
Herausgeber
Elsevier BV
Herausgeber URL
http://dx.doi.org/10.1016/s1046-2023(02)00070-1
Datum der Datenerfassung
2020
Titel
Use of CpG island microarrays to identify colorectal tumors with a high degree of concurrent methylation
Ausgabe der Zeitschrift
27

Data source: Crossref

Abstract
We provide a comprehensive description of our microarray-based technique for the simultaneous detection of multiple CpG islands in cancer. Amplicons from tumor and control samples were pools of differentially methylated CpG island fragments hybridized to a panel of approximately 8000 CpG island tags. Data analysis identified 694 CpG island loci hypermethylated in a group of 14 colorectal tumors. The Stanford hierarchical cluster algorithm segregated the tumors into two subgroups, one of which exhibited a high level of concurrent hypermethylation while the other had little or no methylation. This is in agreement with previous observations of a CpG island methylation phenotype present in colorectal tumors. The present study demonstrates that this microarray-based technique is useful in classifying tumors according to their methylation profiles.
Addresses
  • Department of Pathology and Anatomical Sciences, Ellis Fischel Cancer Center, University of Missouri School of Medicine, Columbia, MO 65203, USA.
Autoren
  • Pearlly S Yan
  • Thomas Efferth
  • Thomas Efferth
  • Hsiao-Ling Chen
  • Jeffrey Lin
  • Franz Rödel
  • Laszlo Fuzesi
  • Tim H-M Huang
DOI
10.1016/s1046-2023(02)00070-1
eISSN
1095-9130
Externe Identifier
  • PubMed Identifier: 12095276
Funding acknowledgements
  • NCI NIH HHS: CA 84701
  • NCI NIH HHS: CA 69065
Open access
false
ISSN
1046-2023
Ausgabe der Veröffentlichung
2
Zeitschrift
Methods (San Diego, Calif.)
Schlüsselwörter
  • Humans
  • Colorectal Neoplasms
  • DNA, Neoplasm
  • DNA Probes
  • Fluorescent Dyes
  • Oligonucleotide Array Sequence Analysis
  • Polymerase Chain Reaction
  • DNA Methylation
  • CpG Islands
  • Algorithms
Sprache
eng
Medium
Print
Paginierung
162 - 169
Datum der Veröffentlichung
2002
Status
Published
Datum der Datenerfassung
2002
Titel
Use of CpG island microarrays to identify colorectal tumors with a high degree of concurrent methylation.
Sub types
  • Research Support, U.S. Gov't, P.H.S.
  • Journal Article
Ausgabe der Zeitschrift
27

Data source: Europe PubMed Central

Abstract
We provide a comprehensive description of our microarray-based technique for the simultaneous detection of multiple CpG islands in cancer. Amplicons from tumor and control samples were pools of differentially methylated CpG island fragments hybridized to a panel of approximately 8000 CpG island tags. Data analysis identified 694 CpG island loci hypermethylated in a group of 14 colorectal tumors. The Stanford hierarchical cluster algorithm segregated the tumors into two subgroups, one of which exhibited a high level of concurrent hypermethylation while the other had little or no methylation. This is in agreement with previous observations of a CpG island methylation phenotype present in colorectal tumors. The present study demonstrates that this microarray-based technique is useful in classifying tumors according to their methylation profiles.
Autoren
  • Pearlly S Yan
  • Thomas Efferth
  • Hsiao-Ling Chen
  • Jeffrey Lin
  • Franz Rödel
  • Laszlo Fuzesi
  • Tim H-M Huang
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/12095276
DOI
10.1016/s1046-2023(02)00070-1
Funding acknowledgements
  • NCI NIH HHS: CA 69065
  • NCI NIH HHS: CA 84701
ISSN
1046-2023
Ausgabe der Veröffentlichung
2
Zeitschrift
Methods
Schlüsselwörter
  • Algorithms
  • Colorectal Neoplasms
  • CpG Islands
  • DNA Methylation
  • DNA Probes
  • DNA, Neoplasm
  • Fluorescent Dyes
  • Humans
  • Oligonucleotide Array Sequence Analysis
  • Polymerase Chain Reaction
Sprache
eng
Country
United States
Paginierung
162 - 169
PII
S1046-2023(02)00070-1
Datum der Veröffentlichung
2002
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2003
Titel
Use of CpG island microarrays to identify colorectal tumors with a high degree of concurrent methylation.
Sub types
  • Journal Article
  • Research Support, U.S. Gov't, P.H.S.
Ausgabe der Zeitschrift
27

Data source: PubMed

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