Evidence map›Paper›PMID 14583097›Full record

ArticleBMC biotechnology2003

Performance of high-throughput DNA quantification methods.

Kashif A Haque, Ruth M Pfeiffer, Michael B Beerman, Jeff P Struewing, Stephen J Chanock, Andrew W Bergen

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in BMC biotechnology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 114 citations in OpenAlex.

  1. Review
  2. Association ofFrontiers in immunology · 2026
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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

6 authors at 2 institutions in 1 country.

Kashif A HaqueCore Genotyping Facility, SAIC-Frederick, Inc, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. haquek@mail.nih.gov
Ruth M Pfeiffer
Michael B Beerman
Jeff P Struewing
Stephen J Chanock
Andrew W Bergen
National Cancer Institute · USNational Institutes of Health · US

Funding

Core Genotyping FacilityZ01CP010178 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI CHANOCK, STEPHEN J. · 2002 to 2008
$4.0M
MOLECULAR STUDY OF HOST RESPONSE/GENETIC RISK FACTORS OF INFECTION COMPLICATIONZ01SC010083 · SC · CLINICAL SCIENCES · PI CHANOCK, STEPHEN J · 1997 to 2007
$1.1M
NCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400
6 · The paper itself

Abstract

backgroundThe accuracy and precision of estimates of DNA concentration are critical factors for efficient use of DNA samples in high-throughput genotype and sequence analyses. We evaluated the performance of spectrophotometric (OD) DNA quantification, and compared it to two fluorometric quantification methods, the PicoGreen assay (PG), and a novel real-time quantitative genomic PCR assay (QG) specific to a region at the human BRCA1 locus. Twenty-Two lymphoblastoid cell line DNA samples with an initial concentration of approximately 350 ng/uL were diluted to 20 ng/uL. DNA concentration was estimated by OD and further diluted to 5 ng/uL. The concentrations of multiple aliquots of the final dilution were measured by the OD, QG and PG methods. The effects of manual and robotic laboratory sample handling procedures on the estimates of DNA concentration were assessed using variance components analyses.

resultsThe OD method was the DNA quantification method most concordant with the reference sample among the three methods evaluated. A large fraction of the total variance for all three methods (36.0-95.7%) was explained by sample-to-sample variation, whereas the amount of variance attributable to sample handling was small (0.8-17.5%). Residual error (3.2-59.4%), corresponding to un-modelled factors, contributed a greater extent to the total variation than the sample handling procedures.

conclusionThe application of a specific DNA quantification method to a particular molecular genetic laboratory protocol must take into account the accuracy and precision of the specific method, as well as the requirements of the experimental workflow with respect to sample volumes and throughput. While OD was the most concordant and precise DNA quantification method in this study, the information provided by the quantitative PCR assay regarding the suitability of DNA samples for PCR may be an essential factor for some protocols, despite the decreased concordance and precision of this method.

Indexed as

FluorometryPolymerase Chain ReactionSpectrophotometryAnalysis of VarianceCell LineDNAHumansReproducibility of ResultsDNA

Identifiers

PMID14583097
PMCPMC280658
OpenAlexW1530977725

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.