Evidence map›Paper›PMID 25896517›Full record

ArticleNature communications2015

Combinatorial code governing cellular responses to complex stimuli.

Antonio Cappuccio, Raphaël Zollinger, Mirjam Schenk, Aleksandra Walczak, Nicolas Servant, Emmanuel Barillot, Philippe Hupé, Robert L Modlin, Vassili Soumelis

Abstract read
In one paragraph

Article in Nature communications, 2015. 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. The Medicinal Plant PairFrontiers in pharmacology · 2019
    Article
  14. Journal of immunology (Baltimore, Md. : 1950) · 2018
    Article
  15. 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

9 authors.

Antonio CappuccioDepartment of Immunology, Institut Curie, Paris F-75248, France.
Raphaël ZollingerDepartment of Immunology, Institut Curie, Paris F-75248, France.
Mirjam SchenkDivision of Dermatology, David Geffen School of Medicine at University of California, Los Angeles, California 90095, USA.
Aleksandra WalczakLaboratoire de Physique Théorique, CNRS, Université P. et M. Curie, École Normale Supérieure, Paris F-75248, France.
Nicolas ServantInstitut Curie, Bioinformatique et Biologie des Systèmes, Paris F-75248, France.
Emmanuel BarillotInstitut Curie, Bioinformatique et Biologie des Systèmes, Paris F-75248, France.
Philippe HupéInstitut Curie, Bioinformatique et Biologie des Systèmes, Paris F-75248, France.
Robert L ModlinDivision of Dermatology, David Geffen School of Medicine at University of California, Los Angeles, California 90095, USA.
Vassili SoumelisDepartment of Immunology, Institut Curie, Paris F-75248, France.

Funding

Molecular Analysis of the Host Immune Response in LeprosyR01AI022553 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROBERT L MODLIN · 1989 to 2026
$15.7M
TCR GAMMA/DELTA LYMPHOCYTES IN HUMAN SKIN LESIONSR01AR040312 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MODLIN, ROBERT L · 1990 to 2025
$10.4M
Vitamin D Metabolism in LeprosyP50AR063020 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MODLIN, ROBERT L · 2012 to 2016
$7.8M
Divergence of Phagocytic and Antimicrobial Programs in LeprosyR01AI047868 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MODLIN, ROBERT L · 2010 to 2014
$2.4M
Role of Vitamin D Prohormone 25-OHD in the Immune Response to TuberculosisR01HL119068 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIU, PHILIP T., MODLIN, ROBERT L · 2014 to 2017
$1.5M
NHLBI NIH HHS R01 HL119068NIAID NIH HHS R01 AI022553NIAID NIH HHS R01 AI047868NIAMS NIH HHS P50 AR063020NIAMS NIH HHS R01 AR040312
6 · The paper itself

Abstract

Cells adapt to their environment through the integration of complex signals. Multiple signals can induce synergistic or antagonistic interactions, currently considered as homogenous behaviours. Here, we use a systematic theoretical approach to enumerate the possible interaction profiles for outputs measured in the conditions 0 (control), signals X, Y, X+Y. Combinatorial analysis reveals 82 possible interaction profiles, which we biologically and mathematically grouped into five positive and five negative interaction modes. To experimentally validate their use in living cells, we apply an original computational workflow to transcriptomics data of innate immune cells integrating physiopathological signal combinations. Up to 9 of the 10 defined modes coexisted in context-dependent proportions. Each interaction mode was preferentially used in specific biological pathways, suggesting a functional role in the adaptation to multiple signals. Our work defines an exhaustive map of interaction modes for cells integrating pairs of physiopathological and pharmacological stimuli.

Indexed as

Computer SimulationModels, BiologicalAlgorithmsCells, CulturedDendritic CellsGene Expression RegulationHumansMonocytesSignal TransductionStress, PhysiologicalSystems Biology

Identifiers

PMID25896517
PMCPMC4410637

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.