Literature DB >> 22956508

Methods for cancer epigenome analysis.

Raman P Nagarajan1, Shaun D Fouse, Robert J A Bell, Joseph F Costello.   

Abstract

Accurate detection of epimutations in tumor cells is crucial for -understanding the molecular pathogenesis of cancer. Alterations in DNA methylation in cancer are functionally important and clinically relevant, but even this well-studied area is continually re-evaluated in light of unanticipated results, such as the strong association between aberrant DNA methylation in adult tumors and polycomb group profiles in embryonic stem cells, cancer-associated genetic mutations in epigenetic regulators such as DNMT3A and TET family genes, and the discovery of altered 5-hydroxymethylcytosine, a product of TET proteins acting on 5-methylcytosine, in human tumors with TET mutations. The abundance and distribution of covalent histone modifications in primary cancer tissues relative to normal cells is an important but largely uncharted area, although there is good evidence for a mechanistic role of cancer-specific alterations in histone modifications in tumor etiology, drug response, and tumor progression. Meanwhile, the discovery of new epigenetic marks continues, and there are many useful methods for epigenome analysis applicable to primary tumor samples, in addition to cancer cell lines. For DNA methylation and hydroxymethylation, next-generation sequencing allows increasingly inexpensive and quantitative whole-genome profiling. Similarly, the refinement and maturation of chromatin immunoprecipitation with next-generation sequencing (ChIP-seq) has made possible genome-wide mapping of histone modifications, open chromatin, and transcription factor binding sites. Computational tools have been developed apace with these epigenome methods to better enable accurate interpretation of the profiling data.

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Year:  2013        PMID: 22956508      PMCID: PMC4090090          DOI: 10.1007/978-1-4419-9967-2_15

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  136 in total

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Journal:  Trends Biochem Sci       Date:  2000-03       Impact factor: 13.807

2.  Differential methylation of genes and retrotransposons facilitates shotgun sequencing of the maize genome.

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Journal:  Nat Genet       Date:  1999-11       Impact factor: 38.330

3.  Chromosome instability and immunodeficiency syndrome caused by mutations in a DNA methyltransferase gene.

Authors:  G L Xu; T H Bestor; D Bourc'his; C L Hsieh; N Tommerup; M Bugge; M Hulten; X Qu; J J Russo; E Viegas-Péquignot
Journal:  Nature       Date:  1999-11-11       Impact factor: 49.962

4.  Capturing chromosome conformation.

Authors:  Job Dekker; Karsten Rippe; Martijn Dekker; Nancy Kleckner
Journal:  Science       Date:  2002-02-15       Impact factor: 47.728

5.  Non-CpG methylation is prevalent in embryonic stem cells and may be mediated by DNA methyltransferase 3a.

Authors:  B H Ramsahoye; D Biniszkiewicz; F Lyko; V Clark; A P Bird; R Jaenisch
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

6.  Inhibition of DNA methyltransferase stimulates the expression of signal transducer and activator of transcription 1, 2, and 3 genes in colon tumor cells.

Authors:  A R Karpf; P W Peterson; J T Rawlins; B K Dalley; Q Yang; H Albertsen; D A Jones
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-23       Impact factor: 11.205

7.  The polycomb group protein EZH2 is involved in progression of prostate cancer.

Authors:  Sooryanarayana Varambally; Saravana M Dhanasekaran; Ming Zhou; Terrence R Barrette; Chandan Kumar-Sinha; Martin G Sanda; Debashis Ghosh; Kenneth J Pienta; Richard G A B Sewalt; Arie P Otte; Mark A Rubin; Arul M Chinnaiyan
Journal:  Nature       Date:  2002-10-10       Impact factor: 49.962

8.  Methylation-specific oligonucleotide microarray: a new potential for high-throughput methylation analysis.

Authors:  Raad S Gitan; Huidong Shi; Chuan-Mu Chen; Pearlly S Yan; Tim Hui-Ming Huang
Journal:  Genome Res       Date:  2002-01       Impact factor: 9.043

9.  Distinct effects on gene expression of chemical and genetic manipulation of the cancer epigenome revealed by a multimodality approach.

Authors:  David Gius; Hengmi Cui; C Matthew Bradbury; John Cook; Deedee K Smart; Shuping Zhao; Lynn Young; Sheri A Brandenburg; Yali Hu; Kheem S Bisht; Allen S Ho; David Mattson; Lunching Sun; Peter J Munson; Eric Y Chuang; James B Mitchell; Andrew P Feinberg
Journal:  Cancer Cell       Date:  2004-10       Impact factor: 31.743

10.  LCX, leukemia-associated protein with a CXXC domain, is fused to MLL in acute myeloid leukemia with trilineage dysplasia having t(10;11)(q22;q23).

Authors:  Ryoichi Ono; Tomohiko Taki; Takeshi Taketani; Masafumi Taniwaki; Hajime Kobayashi; Yasuhide Hayashi
Journal:  Cancer Res       Date:  2002-07-15       Impact factor: 12.701

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  5 in total

1.  Loss of the polycomb mark from bivalent promoters leads to activation of cancer-promoting genes in colorectal tumors.

Authors:  Maria A Hahn; Arthur X Li; Xiwei Wu; Richard Yang; David A Drew; Daniel W Rosenberg; Gerd P Pfeifer
Journal:  Cancer Res       Date:  2014-05-01       Impact factor: 12.701

2.  How has the study of the human placenta aided our understanding of partially methylated genes?

Authors:  Diane I Schroeder; Janine M LaSalle
Journal:  Epigenomics       Date:  2013-12       Impact factor: 4.778

Review 3.  DNA methylation alterations in the pathogenesis of lupus.

Authors:  S H Chen; Q L Lv; L Hu; M J Peng; G H Wang; B Sun
Journal:  Clin Exp Immunol       Date:  2016-11-01       Impact factor: 4.330

4.  LINE1 and Alu repetitive element DNA methylation in tumors and white blood cells from epithelial ovarian cancer patients.

Authors:  Stacey N Akers; Kirsten Moysich; Wa Zhang; Golda Collamat Lai; Austin Miller; Shashikant Lele; Kunle Odunsi; Adam R Karpf
Journal:  Gynecol Oncol       Date:  2013-12-25       Impact factor: 5.482

Review 5.  Alterations of DNA methylome in human bladder cancer.

Authors:  Ahmad Besaratinia; Myles Cockburn; Stella Tommasi
Journal:  Epigenetics       Date:  2013-08-06       Impact factor: 4.528

  5 in total

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