Evidence map›Paper›PMID 16964226›Full record

ArticleNature biotechnology2006

Using RNA sample titrations to assess microarray platform performance and normalization techniques.

Richard Shippy, Stephanie Fulmer-Smentek, Roderick V Jensen, Wendell D Jones, Paul K Wolber, Charles D Johnson, P Scott Pine, Cecilie Boysen, Xu Guo, Eugene Chudin and 14 more

Abstract readEvaluation Study
In one paragraph

Article in Nature biotechnology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 pooled it
–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

75 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Endotoxemia byFrontiers in microbiology · 2018
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15 more citing papers are in PubMed but not listed here.

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

24 authors.

Richard ShippyGE Healthcare, 7700 S. River Pkwy., Suite #2603, Tempe, Arizona 85284, USA. richard.shippy@ge.com
Stephanie Fulmer-Smentek
Roderick V Jensen
Wendell D Jones
Paul K Wolber
Charles D Johnson
P Scott Pine
Cecilie Boysen
Xu Guo
Eugene Chudin
Yongming Andrew Sun
James C Willey
Jean Thierry-Mieg
Danielle Thierry-Mieg
Robert A Setterquist
Mike Wilson
Anne Bergstrom Lucas
Natalia Novoradovskaya
Adam Papallo
Yaron Turpaz
Shawn C Baker
Janet A Warrington
Leming Shi
Damir Herman

Funding

Intramural NIH HHS Z99 CL999999Intramural NIH HHS Z99 HL999999Intramural NIH HHS Z99 LM999999Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

We have assessed the utility of RNA titration samples for evaluating microarray platform performance and the impact of different normalization methods on the results obtained. As part of the MicroArray Quality Control project, we investigated the performance of five commercial microarray platforms using two independent RNA samples and two titration mixtures of these samples. Focusing on 12,091 genes common across all platforms, we determined the ability of each platform to detect the correct titration response across the samples. Global deviations from the response predicted by the titration ratios were observed. These differences could be explained by variations in relative amounts of messenger RNA as a fraction of total RNA between the two independent samples. Overall, both the qualitative and quantitative correspondence across platforms was high. In summary, titration samples may be regarded as a valuable tool, not only for assessing microarray platform performance and different analysis methods, but also for determining some underlying biological features of the samples.

Indexed as

AlgorithmsEquipment Failure AnalysisGene Expression ProfilingOligonucleotide Array Sequence AnalysisReference ValuesReproducibility of ResultsRNASensitivity and SpecificityUnited StatesRNA

Identifiers

PMID16964226
PMCPMC3272080

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.