Evidence map›Paper›PMID 15674728›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2005

Assessment of a systematic expression profiling approach in ENU-induced mouse mutant lines.

Matthias Seltmann, Marion Horsch, Alexei Drobyshev, Yali Chen, Martin Hrabé de Angelis, Johannes Beckers

Open access · greenAbstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Pleiotropic effects in Eya3 knockout mice.BMC developmental biology · 2008
    Article
  3. Article
  4. Article
  5. Expression profiling of the mouse early embryo: reflections and perspectives.Developmental dynamics : an official publication of the American Association of Anatomists · 2006
    Review
  6. Identification of coexpressed gene clusters in a comparative analysis of transcriptome and proteome in mouse tissues.Proceedings of the National Academy of Sciences of the United States of America · 2005
    Article
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 2 countries.

Matthias SeltmannGSF-National Research Center for Environment and Health, Institute of Experimental Genetics, Ingolstaedter Landstr. 1, Neuherberg, D-85764, Germany.
Marion Horsch
Alexei Drobyshev
Yali Chen
Martin Hrabé de Angelis
Johannes Beckers
Institute of Groundwater Ecology · DEEngelhardt Institute of Molecular Biology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative genomewide expression profiling is a powerful tool in the effort to annotate the mouse genome with biological function. The systematic analysis of RNA expression data of mouse lines from the Munich ENU mutagenesis screen might support the understanding of the molecular biology of such mutants and provide new insights into mammalian gene function. In a direct comparison of DNA microarray experiments of individual versus pooled RNA samples of organs from ENU-induced mouse mutants, we provide evidence that individual RNA samples may outperform pools in some aspects. Genes with high biological variability in their expression levels (noisy genes) are identified as false positives in pooled samples. Evidence suggests that highly stringent housing conditions and standardized procedures for the isolation of organs significantly reduce biological variability in gene expression profiling experiments. Data on wild-type individuals demonstrate the positive effect of controlling variables such as social status, food intake before organ sampling, and stress with regard to reproducibility of gene expression patterns. Analyses of several organs from various ENU-induced mutant lines in general show low numbers of differentially expressed genes. We demonstrate the feasibility to detect transcriptionally affected organs employing RNA expression profiling as a tool for molecular phenotyping.

Indexed as

Gene ExpressionGene Expression ProfilingAnimalsDown-RegulationEthylnitrosoureaGenetic VariationKidneyLiverMiceMice, Mutant StrainsMutagenesisMutagensOligonucleotide Array Sequence AnalysisSpleenUp-RegulationEthylnitrosoureaMutagens

Identifiers

PMID15674728
OpenAlexW2071789047

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.