Evidence map›Paper›PMID 27842364›Full record

ArticleJournal of visualized experiments : JoVE2016

Methyl-binding DNA capture Sequencing for Patient Tissues.

Rohit R Jadhav, Yao V Wang, Ya-Ting Hsu, Joseph Liu, Dawn Garcia, Zhao Lai, Tim H M Huang, Victor X Jin

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Rohit R JadhavDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio.
Yao V WangDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio.
Ya-Ting HsuDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio.
Joseph LiuDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio.
Dawn GarciaGreehey Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio.
Zhao LaiGreehey Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio.
Tim H M HuangDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio.
Victor X JinDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio; jinv@uthscsa.edu.

Funding

Omics analysis of three-dimensional transcriptional regulationR01GM114142 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JIN, VICTOR, LIN, SHILI · 2015 to 2024
$2.7M
NIGMS NIH HHS R01 GM114142
6 · The paper itself

Abstract

Methylation is one of the essential epigenetic modifications to the DNA, which is responsible for the precise regulation of genes required for stable development and differentiation of different tissue types. Dysregulation of this process is often the hallmark of various diseases like cancer. Here, we outline one of the recent sequencing techniques, Methyl-Binding DNA Capture sequencing (MBDCap-seq), used to quantify methylation in various normal and disease tissues for large patient cohorts. We describe a detailed protocol of this affinity enrichment approach along with a bioinformatics pipeline to achieve optimal quantification. This technique has been used to sequence hundreds of patients across various cancer types as a part of the 1,000 methylome project (Cancer Methylome System).

Indexed as

Epigenesis, GeneticSequence Analysis, DNAComputational BiologyDNADNA MethylationHumansDNA

Identifiers

PMID27842364
PMCPMC5203769

What OpenQuestion holds

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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.