Evidence map›Paper›PMID 12659661›Full record

ArticleBMC genomics2003

Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance.

Vigdis Nygaard, Anders Løland, Marit Holden, Mette Langaas, Håvard Rue, Fang Liu, Ola Myklebost, Øystein Fodstad, Eivind Hovig, Birgitte Smith-Sørensen

Abstract read
In one paragraph

Article in BMC genomics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

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0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  10. Cross-species hybridization of microarrays for studying tumor transcriptome of brain metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2011
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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

10 authors.

Vigdis NygaardDepartment of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway. vigdisny@radium.uio.no
Anders Løland
Marit Holden
Mette Langaas
Håvard Rue
Fang Liu
Ola Myklebost
Øystein Fodstad
Eivind Hovig
Birgitte Smith-Sørensen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA limiting factor of cDNA microarray technology is the need for a substantial amount of RNA per labeling reaction. Thus, 20-200 micro-grams total RNA or 0.5-2 micro-grams poly (A) RNA is typically required for monitoring gene expression. In addition, gene expression profiles from large, heterogeneous cell populations provide complex patterns from which biological data for the target cells may be difficult to extract. In this study, we chose to investigate a widely used mRNA amplification protocol that allows gene expression studies to be performed on samples with limited starting material. We present a quantitative study of the variation and noise present in our data set obtained from experiments with either amplified or non-amplified material.

resultsUsing analysis of variance (ANOVA) and multiple hypothesis testing, we estimated the impact of amplification on the preservation of gene expression ratios. Both methods showed that the gene expression ratios were not completely preserved between amplified and non-amplified material. We also compared the expression ratios between the two cell lines for the amplified material with expression ratios between the two cell lines for the non-amplified material for each gene. With the aid of multiple t-testing with a false discovery rate of 5%, we found that 10% of the genes investigated showed significantly different expression ratios.

conclusionAlthough the ratios were not fully preserved, amplification may prove to be extremely useful with respect to characterizing low expressing genes.

Indexed as

Analysis of VarianceDNA, ComplementaryDNA, NeoplasmGene Expression ProfilingHumansLinear ModelsNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisRNA, MessengerRNA, NeoplasmTumor Cells, CulturedDNA, ComplementaryDNA, NeoplasmRNA, MessengerRNA, Neoplasm

Identifiers

PMID12659661
PMCPMC153514

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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.