Evidence map›Paper›PMID 21390309›Full record

SynthesisPloS one2011

Identification of reference genes across physiological states for qRT-PCR through microarray meta-analysis.

Wei-Chung Cheng, Cheng-Wei Chang, Chaang-Ray Chen, Min-Lung Tsai, Wun-Yi Shu, Chia-Yang Li, Ian C Hsu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Selection of reference genes for quantitative PCR: identifying reference genes for airway epithelial cells exposed toAmerican journal of physiology. Lung cellular and molecular physiology · 2020
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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

7 authors at 3 institutions in 1 country.

Wei-Chung ChengDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Cheng-Wei Chang
Chaang-Ray Chen
Min-Lung Tsai
Wun-Yi Shu
Chia-Yang Li
Ian C Hsu
National Tsing Hua University · TWNational Hsinchu University of Education · TWNational Taichung University of Education · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accuracy of quantitative real-time PCR (qRT-PCR) is highly dependent on reliable reference gene(s). Some housekeeping genes which are commonly used for normalization are widely recognized as inappropriate in many experimental conditions. This study aimed to identify reference genes for clinical studies through microarray meta-analysis of human clinical samples. METHODOLOGY/PRINCIPAL

findingsAfter uniform data preprocessing and data quality control, 4,804 Affymetrix HU-133A arrays performed by clinical samples were classified into four physiological states with 13 organ/tissue types. We identified a list of reference genes for each organ/tissue types which exhibited stable expression across physiological states. Furthermore, 102 genes identified as reference gene candidates in multiple organ/tissue types were selected for further analysis. These genes have been frequently identified as housekeeping genes in previous studies, and approximately 71% of them fall into Gene Expression (GO:0010467) category in Gene Ontology. CONCLUSIONS/SIGNIFICANCE: Based on microarray meta-analysis of human clinical sample arrays, we identified sets of reference gene candidates for various organ/tissue types and then examined the functions of these genes. Additionally, we found that many of the reference genes are functionally related to transcription, RNA processing and translation. According to our results, researchers could select single or multiple reference gene(s) for normalization of qRT-PCR in clinical studies.

Indexed as

Gene Expression ProfilingGenesMicroarray AnalysisCongenital AbnormalitiesDiseaseFemaleHealth StatusHumansMaleNeoplasmsOrgan SpecificityPhysiological PhenomenaReference StandardsReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID21390309
PMCPMC3044736
OpenAlexW2080396809

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.