Evidence map›Paper›PMID 20563671›Full record

ArticleMolecular biotechnology2010

A proof-of-principle demonstration of a novel microarray-based method for quantifying DNA methylation levels.

Xiujuan Zhang, Dongrui Zhou, Ming Zhao, Yongqi Luo, Peng Zhang, Zuhong Lu, Qianjin Lu

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. DNA methylation alterations in the pathogenesis of lupus.Clinical and experimental immunology · 2017
    Review
  2. 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

7 authors at 3 institutions in 1 country.

Xiujuan ZhangDepartment of Dermatology, Epigenetic Research Center, Second Xiangya Hospital, Central South University, No. 139 Renmin Middle Rd., Changsha, Hunan, 410011, People's Republic of China.
Dongrui Zhou
Ming Zhao
Yongqi Luo
Peng Zhang
Zuhong Lu
Qianjin Lu
Central South University · CNSecond Xiangya Hospital of Central South University · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Demethylation of CD11a (ITGAL; GeneID:3683; HGNC: 6148) and CD70 (TNFSF7; GeneID:970; HGNC:11937) regulatory regions in CD4(+) T cells contributes to the development of autoreactivity and autoantibody overstimulation in systemic lupus erythematosus (SLE). In this study, we present a novel approach for measuring the methylation status of CD11a and CD70 promoter sequences. The procedure combines the standard method of bisulfite conversion of methylated CpG pairs with high-throughput oligonucleotide microarray-based technology that allows for rapid quantification of deoxycytosine and deoxymethylcytosine content in bisulfite-treated DNA samples. The microarrays were first used to generate a standard curve from fully methylated and fully unmethylated DNA samples using a one-dimensional linear regression equation that calculated fluorescence emission as a function of methylation levels. The methylation status of the CD70 and CD11a promoters in SLE and control CD4(+) T cell samples were measured, and the microarray prediction was found to be highly accurate when compared to bisulfite sequencing. Furthermore, the microarrays were able to detect differences in the methylation status between SLE patient and healthy control samples. These results indicate that our new microarray-based assay could prove to be a highly reliable, rapid, and cost effective diagnostic and prognostic test for SLE.

Indexed as

DNA MethylationOligonucleotide Array Sequence AnalysisAdultBase SequenceCD11a AntigenCD27 LigandDNA PrimersFemaleHumansLupus Erythematosus, SystemicMaleNucleic Acid HybridizationPromoter Regions, GeneticCD11a AntigenCD27 LigandDNA Primers

Identifiers

PMID20563671
OpenAlexW2002404042

What OpenQuestion holds

Textmetadata
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.