Evidence map›Paper›PMID 26213102›Full record

ArticleEpigenetics2015

Q-RRBS: a quantitative reduced representation bisulfite sequencing method for single-cell methylome analyses.

Kangli Wang, Xianfeng Li, Shanshan Dong, Jialong Liang, Fengbiao Mao, Cheng Zeng, Honghu Wu, Jinyu Wu, Wanshi Cai, Zhong Sheng Sun

Abstract read
In one paragraph

Article in Epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

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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

15 citing papers in PubMed.

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  11. Mapping chromatin modifications at the single cell level.Development (Cambridge, England) · 2019
    Review
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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

10 authors.

Kangli Wanga Institute of Genomic Medicine; Wenzhou Medical University ; Wenzhou , China.
Xianfeng Li
Shanshan Dong
Jialong Liang
Fengbiao Mao
Cheng Zeng
Honghu Wu
Jinyu Wu
Wanshi Cai
Zhong Sheng Sun

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduced representation bisulfite sequencing (RRBS) is a powerful method of DNA methylome profiling that can be applied to single cells. However, no previous report has described how PCR-based duplication-induced artifacts affect the accuracy of this method when measuring DNA methylation levels. For quantifying the effects of duplication-induced artifacts on methylome profiling when using ultra-trace amounts of starting material, we developed a novel method, namely quantitative RRBS (Q-RRBS), in which PCR-induced duplication is excluded through the use of unique molecular identifiers (UMIs). By performing Q-RRBS on varying amounts of starting material, we determined that duplication-induced artifacts were more severe when small quantities of the starting material were used. However, through using the UMIs, we successfully eliminated these artifacts. In addition, Q-RRBS could accurately detect allele-specific methylation in absence of allele-specific genetic variants. Our results demonstrate that Q-RRBS is an optimal strategy for DNA methylation profiling of single cells or samples containing ultra-trace amounts of cells.

Indexed as

DNA MethylationAnimalsCpG IslandsHigh-Throughput Nucleotide SequencingHumansPolymerase Chain ReactionSingle-Cell Analysisallele-specific methylationdeduplicationDNA methylomeQ-RRBSsingle cellunique molecular identifiers

Identifiers

PMID26213102
PMCPMC4622980

What OpenQuestion holds

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Registered trials

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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.