Evidence map›Paper›PMID 18450815›Full record

ArticleNucleic acids research2008

Enhanced identification and biological validation of differential gene expression via Illumina whole-genome expression arrays through the use of the model-based background correction methodology.

Liang-Hao Ding, Yang Xie, Seongmi Park, Guanghua Xiao, Michael D Story

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  15. An Expression Signature as an Aid to the Histologic Classification of Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
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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

5 authors at 2 institutions in 1 country.

Liang-Hao DingSimmons Comprehensive Cancer Center Genomics Core Facility, Department of Radiation Oncology, Division of Molecular Radiation Biology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX, USA.
Yang Xie
Seongmi Park
Guanghua Xiao
Michael D Story
The University of Texas Southwestern Medical Center · USRadiation Oncology Associates · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
NORTH AND CENTRAL TEXAS CTSA FOR PEDIATRIC RESEARCHUL1RR024982 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2007 to 2011
$27.9M
X-RAY BEAM SPECTRA MEASUREMENTP01CA006294 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANG, K KIAN · 1985 to 2009
$11.0M
NCI NIH HHS CA06294NCI NIH HHS P01 CA006294NCI NIH HHS P50 CA070907NCRR NIH HHS UL1 RR024982NCRR NIH HHS UL1RR024982
6 · The paper itself

Abstract

Despite the tremendous growth of microarray usage in scientific studies, there is a lack of standards for background correction methodologies, especially in single-color microarray platforms. Traditional background subtraction methods often generate negative signals and thus cause large amounts of data loss. Hence, some researchers prefer to avoid background corrections, which typically result in the underestimation of differential expression. Here, by utilizing nonspecific negative control features integrated into Illumina whole genome expression arrays, we have developed a method of model-based background correction for BeadArrays (MBCB). We compared the MBCB with a method adapted from the Affymetrix robust multi-array analysis algorithm and with no background subtraction, using a mouse acute myeloid leukemia (AML) dataset. We demonstrated that differential expression ratios obtained by using the MBCB had the best correlation with quantitative RT-PCR. MBCB also achieved better sensitivity in detecting differentially expressed genes with biological significance. For example, we demonstrated that the differential regulation of Tnfr2, Ikk and NF-kappaB, the death receptor pathway, in the AML samples, could only be detected by using data after MBCB implementation. We conclude that MBCB is a robust background correction method that will lead to more precise determination of gene expression and better biological interpretation of Illumina BeadArray data.

Indexed as

Models, StatisticalAnimalsGene Expression ProfilingLeukemia, Myeloid, AcuteMiceMice, Inbred CBAOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionSignal Transduction

Identifiers

PMID18450815
PMCPMC2425463
OpenAlexW1979597154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.