Evidence map›Paper›PMID 22458817›Full record

ArticleBMC genomics2012

Comparative modular analysis of gene expression in vertebrate organs.

Barbara Piasecka, Zoltán Kutalik, Julien Roux, Sven Bergmann, Marc Robinson-Rechavi

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Deep homology in the age of next-generation sequencing.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  2. Article
  3. What to compare and how: Comparative transcriptomics for Evo-Devo.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2015
    Review
  4. Review
  5. 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

5 authors at 2 institutions in 1 country.

Barbara PiaseckaDepartment of Ecology and Evolution, University of Lausanne, Biophore, CH-1005 Lausanne, Switzerland.
Zoltán Kutalik
Julien Roux
Sven Bergmann
Marc Robinson-Rechavi
University of Lausanne · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe degree of conservation of gene expression between homologous organs largely remains an open question. Several recent studies reported some evidence in favor of such conservation. Most studies compute organs' similarity across all orthologous genes, whereas the expression level of many genes are not informative about organ specificity.

resultsHere, we use a modularization algorithm to overcome this limitation through the identification of inter-species co-modules of organs and genes. We identify such co-modules using mouse and human microarray expression data. They are functionally coherent both in terms of genes and of organs from both organisms. We show that a large proportion of genes belonging to the same co-module are orthologous between mouse and human. Moreover, their zebrafish orthologs also tend to be expressed in the corresponding homologous organs. Notable exceptions to the general pattern of conservation are the testis and the olfactory bulb. Interestingly, some co-modules consist of single organs, while others combine several functionally related organs. For instance, amygdala, cerebral cortex, hypothalamus and spinal cord form a clearly discernible unit of expression, both in mouse and human.

conclusionsOur study provides a new framework for comparative analysis which will be applicable also to other sets of large-scale phenotypic data collected across different species.

Indexed as

AlgorithmsAnimalsComputational BiologyGene Expression ProfilingHumansMiceOrgan SpecificitySequence Homology, Nucleic AcidSpecies SpecificityVertebrates

Identifiers

PMID22458817
PMCPMC3359279
OpenAlexW2089686658

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.