Literature DB >> 27091453

Bisulfite oligonucleotide-capture sequencing for targeted base- and strand-specific absolute 5-methylcytosine quantitation.

Dustin R Masser1,2,3, David R Stanford1,2,3,4, Niran Hadad2,5, Cory B Giles6, Jonathan D Wren2,4,6,7, William E Sonntag1,2,4,8, Arlan Richardson1,2,4,9,8, Willard M Freeman10,11,12,13,14,15.   

Abstract

Epigenetic regulation through DNA methylation (5mC) plays an important role in development, aging, and a variety of diseases. Genome-wide studies of base- and strand-specific 5mC are limited by the extensive sequencing required. Targeting bisulfite sequencing to specific genomic regions through sequence capture with complimentary oligonucleotide probes retains the advantages of bisulfite sequencing while focusing sequencing reads on regions of interest, enables analysis of more samples by decreasing the amount of sequence required per sample, and provides base- and strand-specific absolute quantitation of CG and non-CG methylation levels. As an example, an oligonucleotide capture set to interrogate 5mC levels in all rat RefSeq gene promoter regions (18,814) and CG islands, shores, and shelves (18,411) was generated. Validation using whole-genome methylation standards and biological samples demonstrates enrichment of the targeted regions and accurate base-specific quantitation of CG and non-CG methylation for both forward and reverse genomic strands. A total of 170 Mb of the rat genome is covered including 6.6 million CGs and over 67 million non-CG sites, while reducing the amount of sequencing required by ~85 % as compared to existing whole-genome sequencing methods. This oligonucleotide capture targeting approach and quantitative validation workflow can also be applied to any genome of interest.

Entities:  

Keywords:  Bisulfite sequencing; DNA methylation; Rat

Mesh:

Substances:

Year:  2016        PMID: 27091453      PMCID: PMC5005917          DOI: 10.1007/s11357-016-9914-1

Source DB:  PubMed          Journal:  Age (Dordr)        ISSN: 0161-9152


  47 in total

1.  Circos: an information aesthetic for comparative genomics.

Authors:  Martin Krzywinski; Jacqueline Schein; Inanç Birol; Joseph Connors; Randy Gascoyne; Doug Horsman; Steven J Jones; Marco A Marra
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

2.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

3.  Quantitative high-throughput analysis of DNA methylation patterns by base-specific cleavage and mass spectrometry.

Authors:  Mathias Ehrich; Matthew R Nelson; Patrick Stanssens; Marc Zabeau; Triantafillos Liloglou; George Xinarianos; Charles R Cantor; John K Field; Dirk van den Boom
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-21       Impact factor: 11.205

Review 4.  Reading the unique DNA methylation landscape of the brain: Non-CpG methylation, hydroxymethylation, and MeCP2.

Authors:  Benyam Kinde; Harrison W Gabel; Caitlin S Gilbert; Eric C Griffith; Michael E Greenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-04       Impact factor: 11.205

5.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications.

Authors:  Felix Krueger; Simon R Andrews
Journal:  Bioinformatics       Date:  2011-04-14       Impact factor: 6.937

6.  Post-conversion targeted capture of modified cytosines in mammalian and plant genomes.

Authors:  Qing Li; Masako Suzuki; Jennifer Wendt; Nicole Patterson; Steven R Eichten; Peter J Hermanson; Dawn Green; Jeffrey Jeddeloh; Todd Richmond; Heidi Rosenbaum; Daniel Burgess; Nathan M Springer; John M Greally
Journal:  Nucleic Acids Res       Date:  2015-03-26       Impact factor: 16.971

7.  The control region of mitochondrial DNA shows an unusual CpG and non-CpG methylation pattern.

Authors:  Dina Bellizzi; Patrizia D'Aquila; Teresa Scafone; Marco Giordano; Vincenzo Riso; Andrea Riccio; Giuseppe Passarino
Journal:  DNA Res       Date:  2013-06-26       Impact factor: 4.458

8.  Accurate mitochondrial DNA sequencing using off-target reads provides a single test to identify pathogenic point mutations.

Authors:  Helen R Griffin; Angela Pyle; Emma L Blakely; Charlotte L Alston; Jennifer Duff; Gavin Hudson; Rita Horvath; Ian J Wilson; Mauro Santibanez-Koref; Robert W Taylor; Patrick F Chinnery
Journal:  Genet Med       Date:  2014-06-05       Impact factor: 8.822

9.  Genome-Wide DNA Methylation Profiling Reveals Epigenetic Changes in the Rat Nucleus Accumbens Associated With Cross-Generational Effects of Adolescent THC Exposure.

Authors:  Corey T Watson; Henrietta Szutorisz; Paras Garg; Qammarah Martin; Joseph A Landry; Andrew J Sharp; Yasmin L Hurd
Journal:  Neuropsychopharmacology       Date:  2015-06-05       Impact factor: 7.853

10.  In-solution hybrid capture of bisulfite-converted DNA for targeted bisulfite sequencing of 174 ADME genes.

Authors:  Maxim Ivanov; Mart Kals; Marina Kacevska; Andres Metspalu; Magnus Ingelman-Sundberg; Lili Milani
Journal:  Nucleic Acids Res       Date:  2013-01-15       Impact factor: 16.971

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  7 in total

Review 1.  Analysis of DNA modifications in aging research.

Authors:  Dustin R Masser; Niran Hadad; Hunter Porter; Michael B Stout; Archana Unnikrishnan; David R Stanford; Willard M Freeman
Journal:  Geroscience       Date:  2018-01-11       Impact factor: 7.713

2.  Caloric restriction mitigates age-associated hippocampal differential CG and non-CG methylation.

Authors:  Niran Hadad; Archana Unnikrishnan; Jordan A Jackson; Dustin R Masser; Laura Otalora; David R Stanford; Arlan Richardson; Willard M Freeman
Journal:  Neurobiol Aging       Date:  2018-03-16       Impact factor: 4.673

3.  Absence of genomic hypomethylation or regulation of cytosine-modifying enzymes with aging in male and female mice.

Authors:  Niran Hadad; Dustin R Masser; Sreemathi Logan; Benjamin Wronowski; Colleen A Mangold; Nicholas Clark; Laura Otalora; Archana Unnikrishnan; Matthew M Ford; Cory B Giles; Jonathan D Wren; Arlan Richardson; William E Sonntag; David R Stanford; Willard Freeman
Journal:  Epigenetics Chromatin       Date:  2016-07-13       Impact factor: 4.954

4.  SMRT Sequencing Revealed Mitogenome Characteristics and Mitogenome-Wide DNA Modification Pattern in Ophiocordyceps sinensis.

Authors:  Xincong Kang; Liqin Hu; Pengyuan Shen; Rui Li; Dongbo Liu
Journal:  Front Microbiol       Date:  2017-07-27       Impact factor: 5.640

5.  Sexually divergent DNA methylation patterns with hippocampal aging.

Authors:  Dustin R Masser; Niran Hadad; Hunter L Porter; Colleen A Mangold; Archana Unnikrishnan; Matthew M Ford; Cory B Giles; Constantin Georgescu; Mikhail G Dozmorov; Jonathan D Wren; Arlan Richardson; David R Stanford; Willard M Freeman
Journal:  Aging Cell       Date:  2017-09-25       Impact factor: 9.304

6.  Detection of somatic epigenetic variation in Norway spruce via targeted bisulfite sequencing.

Authors:  Katrin Heer; Kristian K Ullrich; Manuel Hiss; Sascha Liepelt; Ralf Schulze Brüning; Jiabin Zhou; Lars Opgenoorth; Stefan A Rensing
Journal:  Ecol Evol       Date:  2018-09-05       Impact factor: 2.912

Review 7.  Latest techniques to study DNA methylation.

Authors:  Quentin Gouil; Andrew Keniry
Journal:  Essays Biochem       Date:  2019-12-20       Impact factor: 8.000

  7 in total

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