Evidence map›Paper›PMID 26512698›Full record

ArticleGenes2015

COBRA-Seq: Sensitive and Quantitative Methylome Profiling.

Hilal Varinli, Aaron L Statham, Susan J Clark, Peter L Molloy, Jason P Ross

Open access · goldAbstract read
In one paragraph

Article in Genes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Hilal VarinliCSIRO Food and Nutrition Flagship, North Ryde, New South Wales 1670, Australia. hilal.varinli@csiro.au.
Aaron L StathamGenomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, New South Wales 2010, Australia. a.statham@garvan.org.au.
Susan J ClarkGenomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, New South Wales 2010, Australia. s.clark@garvan.org.au.
Peter L MolloyCSIRO Food and Nutrition Flagship, North Ryde, New South Wales 1670, Australia. peter.molloy@csiro.au.
Jason P RossCSIRO Food and Nutrition Flagship, North Ryde, New South Wales 1670, Australia. jason.ross@csiro.au.
Commonwealth Scientific and Industrial Research Organisation · AUGarvan Institute of Medical Research · AUSt Vincent's Clinic · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combined Bisulfite Restriction Analysis (COBRA) quantifies DNA methylation at a specific locus. It does so via digestion of PCR amplicons produced from bisulfite-treated DNA, using a restriction enzyme that contains a cytosine within its recognition sequence, such as TaqI. Here, we introduce COBRA-seq, a genome wide reduced methylome method that requires minimal DNA input (0.1-1.0 mg) and can either use PCR or linear amplification to amplify the sequencing library. Variants of COBRA-seq can be used to explore CpG-depleted as well as CpG-rich regions in vertebrate DNA. The choice of enzyme influences enrichment for specific genomic features, such as CpG-rich promoters and CpG islands, or enrichment for less CpG dense regions such as enhancers. COBRA-seq coupled with linear amplification has the additional advantage of reduced PCR bias by producing full length fragments at high abundance. Unlike other reduced representative methylome methods, COBRA-seq has great flexibility in the choice of enzyme and can be multiplexed and tuned, to reduce sequencing costs and to interrogate different numbers of sites. Moreover, COBRA-seq is applicable to non-model organisms without the reference genome and compatible with the investigation of non-CpG methylation by using restriction enzymes containing CpA, CpT, and CpC in their recognition site.

Indexed as

CHHCOBRADNA methylationenhancernext generation sequencingnon CpGnon-model organismreduced representationrestriction enzymes

Identifiers

PMID26512698
PMCPMC4690032
OpenAlexW2099506201

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.