A Practical Guide to the Measurement and Analysis of DNA Methylation.
5-Methylcytosine
/ analysis
Base Sequence
Computational Biology
/ methods
CpG Islands
DNA
/ chemistry
DNA (Cytosine-5-)-Methyltransferase 1
/ metabolism
DNA Methylation
High-Throughput Nucleotide Sequencing
Immunoprecipitation
Methylation
Molecular Structure
Nucleic Acid Hybridization
Quality Control
Sequence Alignment
Sulfites
/ pharmacology
DNA methylation
bioinformatics
bisulfite sequencing
epigenetics
next-generation sequencing
Journal
American journal of respiratory cell and molecular biology
ISSN: 1535-4989
Titre abrégé: Am J Respir Cell Mol Biol
Pays: United States
ID NLM: 8917225
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
pubmed:
3
7
2019
medline:
6
5
2020
entrez:
3
7
2019
Statut:
ppublish
Résumé
DNA methylation represents a fundamental epigenetic mark that is associated with transcriptional repression during development, maintenance of homeostasis, and disease. In addition to methylation-sensitive PCR and targeted deep-amplicon bisulfite sequencing to measure DNA methylation at defined genomic loci, numerous unsupervised techniques exist to quantify DNA methylation on a genome-wide scale, including affinity enrichment strategies and methods involving bisulfite conversion. Both affinity-enriched and bisulfite-converted DNA can serve as input material for array hybridization or sequencing using next-generation technologies. In this practical guide to the measurement and analysis of DNA methylation, the goal is to convey basic concepts in DNA methylation biology and explore genome-scale bisulfite sequencing as the current gold standard for assessment of DNA methylation. Bisulfite conversion chemistry and library preparation are discussed in addition to a bioinformatics approach to quality assessment, trimming, alignment, and methylation calling of individual cytosine residues. Bisulfite-converted DNA presents challenges for standard next-generation sequencing library preparation protocols and data-processing pipelines, but these challenges can be met with elegant solutions that leverage the power of high-performance computing systems. Quantification of DNA methylation, data visualization, statistical approaches to compare DNA methylation between sample groups, and examples of integrating DNA methylation data with other -omics data sets are also discussed. The reader is encouraged to use this article as a foundation to pursue advanced topics in DNA methylation measurement and data analysis, particularly the application of bioinformatics and computational biology principles to generate a deeper understanding of mechanisms linking DNA methylation to cellular function.
Identifiants
pubmed: 31264905
doi: 10.1165/rcmb.2019-0150TR
pmc: PMC6775954
doi:
Substances chimiques
Sulfites
0
5-Methylcytosine
6R795CQT4H
DNA
9007-49-2
DNA (Cytosine-5-)-Methyltransferase 1
EC 2.1.1.37
DNMT1 protein, human
EC 2.1.1.37
hydrogen sulfite
OJ9787WBLU
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
417-428Subventions
Organisme : NHLBI NIH HHS
ID : K08 HL128867
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI135964
Pays : United States
Références
Nucleic Acids Res. 2006 Aug 07;34(13):e96
pubmed: 16893950
Bioorg Med Chem Lett. 2011 Sep 1;21(17):5075-7
pubmed: 21524909
Nature. 2007 Dec 6;450(7171):908-12
pubmed: 17994007
Genome Res. 2008 May;18(5):780-90
pubmed: 18316654
BMC Bioinformatics. 2018 Apr 3;19(1):111
pubmed: 29614954
Arthritis Res Ther. 2018 Feb 12;20(1):29
pubmed: 29433549
Nat Protoc. 2012 Dec;7(12):2159-70
pubmed: 23196972
Nat Rev Genet. 2010 Mar;11(3):191-203
pubmed: 20125086
Genome Res. 2015 Dec;25(12):1801-11
pubmed: 26392366
F1000Res. 2017 Nov 28;6:2055
pubmed: 29333247
Nat Genet. 2005 Aug;37(8):853-62
pubmed: 16007088
Nature. 2015 Jul 9;523(7559):212-6
pubmed: 26030523
Epigenomics. 2016 Mar;8(3):389-99
pubmed: 26673039
BMC Genomics. 2015;16 Suppl 12:S14
pubmed: 26680746
Science. 2017 Oct 6;358(6359):69-75
pubmed: 28983045
Methods Mol Biol. 2014;1094:259-67
pubmed: 24162994
Methods Mol Biol. 2014;1105:61-70
pubmed: 24623219
BMC Bioinformatics. 2019 May 16;20(1):253
pubmed: 31096906
Am J Respir Cell Mol Biol. 2018 Aug;59(2):145-157
pubmed: 29624415
J Clin Invest. 2019 May 13;129(7):2597-2607
pubmed: 31081802
Proc Natl Acad Sci U S A. 2006 Jan 31;103(5):1412-7
pubmed: 16432200
Am J Respir Cell Mol Biol. 2015 May;52(5):641-52
pubmed: 25295995
Epigenetics Chromatin. 2016 Jul 29;9:33
pubmed: 27478504
Proc Jpn Acad Ser B Phys Biol Sci. 2008;84(8):321-30
pubmed: 18941305
Bioinformatics. 2016 May 15;32(10):1446-53
pubmed: 26819470
BMC Bioinformatics. 2019 Mar 29;20(1):160
pubmed: 30922215
Am J Physiol Lung Cell Mol Physiol. 2016 May 1;310(9):L796-801
pubmed: 26944088
Sci Adv. 2018 Nov 07;4(11):eaau6986
pubmed: 30417100
Nature. 2009 Nov 19;462(7271):315-22
pubmed: 19829295
Cell. 2007 Feb 23;128(4):635-8
pubmed: 17320500
Int J Epidemiol. 2012 Feb;41(1):10-3
pubmed: 22186258
JCI Insight. 2018 Sep 6;3(17):
pubmed: 30185658
Brief Bioinform. 2018 May 1;19(3):374-386
pubmed: 28040747
Bioinformatics. 2010 Jan 1;26(1):139-40
pubmed: 19910308
Science. 2012 May 18;336(6083):934-7
pubmed: 22539555
Nat Nanotechnol. 2009 Apr;4(4):265-70
pubmed: 19350039
Proc Natl Acad Sci U S A. 2005 Nov 1;102(44):15785-90
pubmed: 16243968
Nat Biotechnol. 2011 Jan;29(1):68-72
pubmed: 21151123
BMC Bioinformatics. 2010 Nov 30;11:587
pubmed: 21118553
Nat Methods. 2012 Mar 04;9(4):357-9
pubmed: 22388286
Nat Methods. 2012 Jan 30;9(2):145-51
pubmed: 22290186
Bioinformatics. 2018 Apr 15;34(8):1414-1415
pubmed: 29211825
Brief Bioinform. 2015 May;16(3):369-79
pubmed: 24867940
Nucleic Acids Res. 2005 Oct 13;33(18):5868-77
pubmed: 16224102
Nat Biotechnol. 2010 May;28(5):495-501
pubmed: 20436461
Nat Methods. 2015 Mar;12(3):230-2, 1 p following 232
pubmed: 25362363
J Biol Chem. 2018 Jul 27;293(30):11772-11783
pubmed: 29866884
Genes Dev. 2009 Apr 1;23(7):781-3
pubmed: 19339683
Nucleic Acids Res. 2015 Dec 2;43(21):e141
pubmed: 26184873
Methods Mol Biol. 2018;1708:171-189
pubmed: 29224145
J Mol Biol. 1987 Jul 20;196(2):261-82
pubmed: 3656447
Nat Genet. 2007 Apr;39(4):457-66
pubmed: 17334365
Nat Rev Genet. 2018 Feb;19(2):81-92
pubmed: 29033456
BMC Bioinformatics. 2016 Jan 20;17 Suppl 2:15
pubmed: 26821531
Transl Res. 2019 Feb;204:1-18
pubmed: 30170004
Bioinformatics. 2011 Jun 1;27(11):1571-2
pubmed: 21493656
Ann Am Thorac Soc. 2019 Jan;16(1):1-16
pubmed: 30592451
Nat Rev Genet. 2017 Sep;18(9):517-534
pubmed: 28555658
Science. 2007 Sep 21;317(5845):1760-4
pubmed: 17673620
Genome Res. 2009 Jun;19(6):1044-56
pubmed: 19273619
Genes Dev. 2002 Jan 1;16(1):6-21
pubmed: 11782440
Nucleic Acids Res. 2014 Apr;42(8):e69
pubmed: 24561809
Nucleic Acids Res. 1980 Oct 24;8(20):4777-90
pubmed: 7443525
Nature. 2019 Jan;565(7740):495-499
pubmed: 30626970