Evidence map›Paper›PMID 26298065›Full record

ReviewTrends in immunology2015

Exploiting genomics and natural genetic variation to decode macrophage enhancers.

Casey E Romanoski, Verena M Link, Sven Heinz, Christopher K Glass

Abstract readReview
In one paragraph

Review in Trends in immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Review
  2. Epigenetics of neural differentiation: Spotlight on enhancers.Frontiers in cell and developmental biology · 2022
    Review
  3. Review
  4. Review
  5. Microglia in neurodegenerative diseases.Neural regeneration research · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

4 authors.

Casey E RomanoskiDepartment of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0651, USA.
Verena M LinkDepartment of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0651, USA; Faculty of Biology, Department II, Ludwig-Maximilians Universität München, Planegg-Martinsried 85152, Germany.
Sven HeinzSalk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.
Christopher K GlassDepartment of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0651, USA. Electronic address: ckg@ucsd.edu.

Funding

Transcriptional Genomics CoreP01DK074868 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROSENFELD, M · 2007 to 2016
$16.6M
Transcriptional co-regulators and macrophage gene expressionR01DK091183 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLASS, CHRISTOPHER K · 2011 to 2025
$9.9M
Enhancer TherapyR01CA173903 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLASS, CHRISTOPHER K · 2012 to 2016
$6.3M
Systems Genetic Analysis of Atherogenic Transcriptional Regulation in Human CellsK99HL123485 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROMANOSKI, CASEY E · 2014 to 2015
$289k
NCI NIH HHS R01 CA173903NHLBI NIH HHS K99 HL123485NIDDK NIH HHS P01 DK074868NIDDK NIH HHS R01 DK091183
6 · The paper itself

Abstract

The mammalian genome contains on the order of a million enhancer-like regions that are required to establish the identities and functions of specific cell types. Here, we review recent studies in immune cells that have provided insight into the mechanisms that selectively activate certain enhancers in response to cell lineage and environmental signals. We describe a working model wherein distinct classes of transcription factors define the repertoire of active enhancers in macrophages through collaborative and hierarchical interactions, and discuss important challenges to this model, specifically providing examples from T cells. We conclude by discussing the use of natural genetic variation as a powerful approach for decoding transcription factor combinations that play dominant roles in establishing the enhancer landscapes, and the potential that these insights have for advancing our understanding of the molecular causes of human disease.

Indexed as

Enhancer Elements, GeneticGenetic VariationGenomicsAnimalsCell LineageChromatin Assembly and DisassemblyGene Expression RegulationGene Regulatory NetworksHumansMacrophagesOrgan SpecificityPromoter Regions, GeneticTranscription FactorsTranscription, GeneticTranscription Factors

Identifiers

PMID26298065
PMCPMC4548828

What OpenQuestion holds

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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.