Evidence map›Paper›PMID 29454939›Full record

ArticleCell systems2018

Comparative Analysis of Immune Cells Reveals a Conserved Regulatory Lexicon.

Elisa Donnard, Pranitha Vangala, Shaked Afik, Sean McCauley, Anetta Nowosielska, Alper Kucukural, Barbara Tabak, Xiaopeng Zhu, William Diehl, Patrick McDonel and 3 more

Abstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. PervasivebioRxiv : the preprint server for biology · 2025
    Article
  2. Review
  3. Article
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  12. Meeting Report: 68The Journal of investigative dermatology · 2020
    Article
  13. Article
  14. Article
  15. Specific subfamilies of transposable elements contribute to different domains of T lymphocyte enhancers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Article
  17. 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

13 authors.

Elisa DonnardProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Pranitha VangalaProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Shaked AfikCenter for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Sean McCauleyProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Anetta NowosielskaProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Alper KucukuralProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA; Bioinformatics Core, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Barbara TabakProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Xiaopeng ZhuProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.
William DiehlProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Patrick McDonelProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Nir YosefCenter for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA.
Jeremy LubanProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA. Electronic address: jeremy.luban@umassmed.edu.
Manuel GarberProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA; Bioinformatics Core, University of Massachusetts Medical School, Worcester, MA 01605, USA. Electronic address: manuel.garber@umassmed.edu.

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
Rules of gene expression modeled on human dendritic cell response to pathogensU01HG007910 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GARBER, MANUEL, LUBAN, JEREMY · 2015 to 2017
$6.1M
Next generation hybrid nucleases for precise excision of latent HIV-1 provirusR01AI117839 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUBAN, JEREMY, WOLFE, SCOT A · 2015 to 2019
$4.6M
Human Genes that Influence HIV-1 Replication, Pathogenesis, and Immunity in IVDUsDP1DA034990 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUBAN, JEREMY · 2012 to 2016
$4.1M
Boosting cell-intrinsic innate immune recognition of HIV-1 by dendritic cellsR01AI111809 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUBAN, JEREMY · 2014 to 2017
$2.4M
Functionally dissecting the transcriptional regulatory network of the innate immune response using CRISPR-effectorsR21AI119885 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GARBER, MANUEL, MAEHR, RENE · 2015 to 2016
$461k
NCATS NIH HHS UL1 TR001453NHGRI NIH HHS U01 HG007910NIAID NIH HHS R01 AI111809NIAID NIH HHS R01 AI117839NIAID NIH HHS R21 AI119885NIDA NIH HHS DP1 DA034990
6 · The paper itself

Abstract

Most well-characterized enhancers are deeply conserved. In contrast, genome-wide comparative studies of steady-state systems showed that only a small fraction of active enhancers are conserved. To better understand conservation of enhancer activity, we used a comparative genomics approach that integrates temporal expression and epigenetic profiles in an innate immune system. We found that gene expression programs diverge among mildly induced genes, while being highly conserved for strongly induced genes. The fraction of conserved enhancers varies greatly across gene expression programs, with induced genes and early-response genes, in particular, being regulated by a higher fraction of conserved enhancers. Clustering of conserved accessible DNA sequences within enhancers resulted in over 60 sequence motifs including motifs for known factors, as well as many with unknown function. We further show that the number of instances of these motifs is a strong predictor of the responsiveness of a gene to pathogen detection.

Indexed as

AnimalsConserved SequenceEnhancer Elements, GeneticEpigenesis, GeneticEvolution, MolecularFemaleGene Expression RegulationGenomicsHumansImmunity, InnateMaleMiceMice, Inbred C57BLToll-Like ReceptorsToll-Like Receptorscomparative genomicsenhancersgene regulationinnate immunitytoll-like receptors

Identifiers

PMID29454939
PMCPMC5876141

What OpenQuestion holds

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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.