Evidence map›Paper›PMID 25357200›Full record

ArticlePloS one2014

Targeted sequencing of large genomic regions with CATCH-Seq.

Kenneth Day, Jun Song, Devin Absher

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03369821 (Understanding Beta-cell Destruction Through the Study of EXtremely Early-onset Type 1 Diabetes), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 29% 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.

NCT03369821 recruitingnot on this mapstarted 2017, after this paper: background citation

Understanding Beta-cell Destruction Through the Study of EXtremely Early-onset Type 1 Diabetes (A Musketeers' Memorandum Study)

TypeobservationalSponsorUniversity of ExeterRan2017 to 2028Enrolled300ConditionsType1 Diabetes MellitusArmsBeta Cell Loss and Immune Function, Immune Function with RNAseq
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 20 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Kenneth DayHudsonAlpha Institute for Biotechnology, Huntsville, Alabama, United States of America.
Jun SongHudsonAlpha Institute for Biotechnology, Huntsville, Alabama, United States of America.
Devin AbsherHudsonAlpha Institute for Biotechnology, Huntsville, Alabama, United States of America.
HudsonAlpha Institute for Biotechnology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current target enrichment systems for large-scale next-generation sequencing typically require synthetic oligonucleotides used as capture reagents to isolate sequences of interest. The majority of target enrichment reagents are focused on gene coding regions or promoters en masse. Here we introduce development of a customizable targeted capture system using biotinylated RNA probe baits transcribed from sheared bacterial artificial chromosome clone templates that enables capture of large, contiguous blocks of the genome for sequencing applications. This clone adapted template capture hybridization sequencing (CATCH-Seq) procedure can be used to capture both coding and non-coding regions of a gene, and resolve the boundaries of copy number variations within a genomic target site. Furthermore, libraries constructed with methylated adapters prior to solution hybridization also enable targeted bisulfite sequencing. We applied CATCH-Seq to diverse targets ranging in size from 125 kb to 3.5 Mb. Our approach provides a simple and cost effective alternative to other capture platforms because of template-based, enzymatic probe synthesis and the lack of oligonucleotide design costs. Given its similarity in procedure, CATCH-Seq can also be performed in parallel with commercial systems.

Indexed as

Genome, HumanTemplates, GeneticChromosomes, Human, Pair 11Clone CellsDNA Copy Number VariationsDNA MethylationHumansNucleic Acid HybridizationRepetitive Sequences, Nucleic AcidSequence Analysis, DNA

Identifiers

PMID25357200
PMCPMC4214737
OpenAlexW2094213784

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.