Evidence map›Paper›PMID 22334570›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2012

Accurate measurement of the relative abundance of different DNA species in complex DNA mixtures.

Sangkyun Jeong, Hyunjoo Yu, Karl Pfeifer

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Sangkyun JeongMedical Research Division, Korea Institute of Oriental Medicine, Yusong-gu, Daejon, Republic of Korea. skjeong@kiom.re.kr
Hyunjoo Yu
Karl Pfeifer

Funding

Regulated expression and developmental functions of the H19 long noncoding RNAZIAHD001804 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI PFEIFER, KARL ERIC · 2009 to 2025
$20.2M
6 · The paper itself

Abstract

A molecular tool that can compare the abundances of different DNA sequences is necessary for comparing intergenic or interspecific gene expression. We devised and verified such a tool using a quantitative competitive polymerase chain reaction approach. For this approach, we adapted a competitor array, an artificially made plasmid DNA in which all the competitor templates for the target DNAs are arranged with a defined ratio, and melting analysis for allele quantitation for accurate quantitation of the fractional ratios of competitively amplified DNAs. Assays on two sets of DNA mixtures with explicitly known compositional structures of the test sequences were performed. The resultant average relative errors of 0.059 and 0.021 emphasize the highly accurate nature of this method. Furthermore, the method's capability of obtaining biological data is demonstrated by the fact that it can illustrate the tissue-specific quantitative expression signatures of the three housekeeping genes G6pdx, Ubc, and Rps27 by using the forms of the relative abundances of their transcripts, and the differential preferences of Igf2 enhancers for each of the multiple Igf2 promoters for the transcription.

Indexed as

AllelesAnimalsDNAEnhancer Elements, GeneticFemaleGlucosephosphate DehydrogenaseInsulin-Like Growth Factor IIKidneyMaleMiceOligonucleotide Array Sequence AnalysisOrgan SpecificityPlasmidsPolymerase Chain ReactionPromoter Regions, GeneticReproducibility of ResultsDNAGlucosephosphate DehydrogenaseIGF2 protein, mouseInsulin-Like Growth Factor IIRibosomal ProteinsUbiquitin C

Identifiers

PMID22334570
PMCPMC3372371

What OpenQuestion holds

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LicenceCC BY-NC
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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.