Evidence map›Paper›PMID 24053356›Full record

ArticleBMC genomics2013

An expression atlas of human primary cells: inference of gene function from coexpression networks.

Neil A Mabbott, J Kenneth Baillie, Helen Brown, Tom C Freeman, David A Hume

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 313 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
313citing papers in PubMed, 2 pooled it
5.0field-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

313 citing papers in PubMed, 2 syntheses or guidelines pooled it, 494 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. celltypeEnrich: a consensus-based scRNA-seq cluster annotation tool.bioRxiv : the preprint server for biology · 2026
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  14. Local and circulating cytotoxic CD4medRxiv : the preprint server for health sciences · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  20. Review

253 more citing papers are in PubMed but not listed here.

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.

Neil A MabbottThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush, Midlothian, Edinburgh EH25 9RG, UK. neil.mabbott@roslin.ed.ac.uk.
J Kenneth Baillie
Helen Brown
Tom C Freeman
David A Hume
Roslin Institute · GBUniversity of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F003722/1Biotechnology and Biological Sciences Research Council BB/I001107/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211552Biotechnology and Biological Sciences Research Council BBS/E/D/20251969
6 · The paper itself

Abstract

backgroundThe specialisation of mammalian cells in time and space requires genes associated with specific pathways and functions to be co-ordinately expressed. Here we have combined a large number of publically available microarray datasets derived from human primary cells and analysed large correlation graphs of these data.

resultsUsing the network analysis tool BioLayout Express3D we identify robust co-associations of genes expressed in a wide variety of cell lineages. We discuss the biological significance of a number of these associations, in particular the coexpression of key transcription factors with the genes that they are likely to control.

conclusionsWe consider the regulation of genes in human primary cells and specifically in the human mononuclear phagocyte system. Of particular note is the fact that these data do not support the identity of putative markers of antigen-presenting dendritic cells, nor classification of M1 and M2 activation states, a current subject of debate within immunological field. We have provided this data resource on the BioGPS web site (http://biogps.org/dataset/2429/primary-cell-atlas/) and on macrophages.com (http://www.macrophages.com/hu-cell-atlas).

Indexed as

Gene Regulatory NetworksTranscriptomeCluster AnalysisComputational BiologyDendritic CellsHumansMacrophagesOligonucleotide Array Sequence AnalysisTranscription FactorsTranscription Factors

Identifiers

PMID24053356
PMCPMC3849585
OpenAlexW2151572058

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.