Evidence map›Paper›PMID 29423802›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2018

Methods for CpG Methylation Array Profiling Via Bisulfite Conversion.

Fatjon Leti, Lorida Llaci, Ivana Malenica, Johanna K DiStefano

Open access · greenAbstract readReview
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
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

4 authors at 3 institutions in 1 country.

Fatjon LetiCenter for Genes, Environment and Health, Department of Biomedical Research, National Jewish Health, 1400 Jackson Street, Denver, CO, 80206, USA. letif@njhealth.org.
Lorida LlaciNeurogenomics Division, Translational Genomics Research Institute, 445 N 5th St, Phoenix, AZ, 85004, USA.
Ivana MalenicaDivision of Biostatistics, University of California, Berkeley, 101 Haviland Hall, Berkeley, CA, 94720, USA.
Johanna K DiStefanoTranslational Genomics Research Institute, 445 N 5th Street, Phoenix, AZ, 85004, USA.
Translational Genomics Research Institute · USNational Jewish Health · USUniversity of California, Berkeley · US

Funding

Epigenetic markers of severity in nonalcoholic fatty liver diseaseR01DK107735 · NIDDK · TRANSLATIONAL GENOMICS RESEARCH INST · PI DISTEFANO, JOHANNA K, GERHARD, GLENN S · 2016 to 2020
$3.1M
NIDDK NIH HHS R01 DK107735
6 · The paper itself

Abstract

DNA methylation is a key factor in epigenetic regulation, and contributes to the pathogenesis of many diseases, including various forms of cancers, and epigenetic events such X inactivation, cellular differentiation and proliferation, and embryonic development. The most conserved epigenetic modification in plants, animals, and fungi is 5-methylcytosine (5mC), which has been well characterized across a diverse range of species. Many technologies have been developed to measure modifications in methylation with respect to biological processes, and the most common method, long considered a gold standard for identifying regions of methylation, is bisulfite conversion. In this technique, DNA is treated with bisulfite, which converts cytosine residues to uracil, but does not affect cytosine residues that have been methylated, such as 5-methylcytosines. Following bisulfite conversion, the only cytosine residues remaining in the DNA, therefore, are those that have been methylated. Subsequent sequencing can then distinguish between unmethylated cytosines, which are displayed as thymines in the resulting amplified sequence of the sense strand, and 5-methylcytosines, which are displayed as cytosines in the resulting amplified sequence of the sense strand, at the single nucleotide level. In this chapter, we describe an array-based protocol for identifying methylated DNA regions. We discuss protocols for DNA quantification, bisulfite conversion, library preparation, and chip assembly, and present an overview of current methods for the analysis of methylation data.

Indexed as

CpG IslandsDNA Methylation5-MethylcytosineAnimalsHumansOligonucleotide Array Sequence AnalysisSequence Analysis, DNASulfites5-Methylcytosinehydrogen sulfiteSulfitesBisulfite conversionCpGDNAEpigeneticsMethylation

Identifiers

PMID29423802
PMCPMC6548194
OpenAlexW2792238209

What OpenQuestion holds

Textmetadata
LicenceTDM
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.