Evidence map›Paper›PMID 21182765›Full record

ArticleGenome biology2010

Large scale comparison of global gene expression patterns in human and mouse.

Xiangqun Zheng-Bradley, Johan Rung, Helen Parkinson, Alvis Brazma

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 3 pooled it
4.9field-weighted citation impact, top 4% 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

79 citing papers in PubMed, 3 syntheses or guidelines pooled it, 129 citations in OpenAlex.

  1. OMAMO: orthology-based alternative model organism selection.Bioinformatics (Oxford, England) · 2022
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  19. Murine Models of Acute Myeloid Leukemia.Frontiers in oncology · 2022
    Review
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19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Xiangqun Zheng-BradleyEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK. zheng@ebi.ac.uk
Johan Rung
Helen Parkinson
Alvis Brazma
European Bioinformatics Institute · GBWellcome Trust · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G022755/1
6 · The paper itself

Abstract

backgroundIt is widely accepted that orthologous genes between species are conserved at the sequence level and perform similar functions in different organisms. However, the level of conservation of gene expression patterns of the orthologous genes in different species has been unclear. To address the issue, we compared gene expression of orthologous genes based on 2,557 human and 1,267 mouse samples with high quality gene expression data, selected from experiments stored in the public microarray repository ArrayExpress.

resultsIn a principal component analysis (PCA) of combined data from human and mouse samples merged on orthologous probesets, samples largely form distinctive clusters based on their tissue sources when projected onto the top principal components. The most prominent groups are the nervous system, muscle/heart tissues, liver and cell lines. Despite the great differences in sample characteristics and experiment conditions, the overall patterns of these prominent clusters are strikingly similar for human and mouse. We further analyzed data for each tissue separately and found that the most variable genes in each tissue are highly enriched with human-mouse tissue-specific orthologs and the least variable genes in each tissue are enriched with human-mouse housekeeping orthologs.

conclusionsThe results indicate that the global patterns of tissue-specific expression of orthologous genes are conserved in human and mouse. The expression of groups of orthologous genes co-varies in the two species, both for the most variable genes and the most ubiquitously expressed genes.

Indexed as

Genome, HumanAnimalsCluster AnalysisDatabases, GeneticGene ExpressionGene Expression ProfilingHumansMiceOligonucleotide Array Sequence AnalysisPrincipal Component AnalysisSequence Analysis, DNA

Identifiers

PMID21182765
PMCPMC3046484
OpenAlexW2129288498

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.