Evidence map›Paper›PMID 21092113›Full record

ArticleImmunome research2010

DC-ATLAS: a systems biology resource to dissect receptor specific signal transduction in dendritic cells.

Duccio Cavalieri, Damariz Rivero, Luca Beltrame, Sonja I Buschow, Enrica Calura, Lisa Rizzetto, Sandra Gessani, Maria C Gauzzi, Walter Reith, Andreas Baur and 28 more

Abstract read
In one paragraph

Article in Immunome research, 2010. 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. Article
  2. Article
  3. Infection and immunity · 2020
    Article
  4. Article
  5. Review
  6. Informatics for cancer immunotherapy.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Systems biology approaches to toll-like receptor signaling.Wiley interdisciplinary reviews. Systems biology and medicine
    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

38 authors.

Duccio CavalieriDepartment of Pharmacology, University of Firenze, Firenze, Italy. duccio.cavalieri@unifi.it.
Damariz Rivero
Luca Beltrame
Sonja I Buschow
Enrica Calura
Lisa Rizzetto
Sandra Gessani
Maria C Gauzzi
Walter Reith
Andreas Baur
Roberto Bonaiuti
Marco Brandizi
Carlotta De Filippo
Ugo D'Oro
Sorin Draghici
Isabelle Dunand-Sauthier
Evelina Gatti
Francesca Granucci
Michaela Gündel
Matthijs Kramer
Mirela Kuka
Arpad Lanyi
Cornelis Jm Melief
Nadine van Montfoort
Renato Ostuni
Philippe Pierre
Razvan Popovici
Eva Rajnavolgyi
Stephan Schierer
Gerold Schuler
Vassili Soumelis
Andrea Splendiani
Irene Stefanini
Maria G Torcia
Ivan Zanoni
Raphael Zollinger
Carl G Figdor
Jonathan M Austyn

Funding

Novel methods for the analysis of gene signaling pathways with applications in obR01DK089167 · NIDDK · WAYNE STATE UNIVERSITY · PI DRAGHICI, SORIN · 2010 to 2013
$1.2M
NIDDK NIH HHS R01 DK089167
6 · The paper itself

Abstract

backgroundThe advent of Systems Biology has been accompanied by the blooming of pathway databases. Currently pathways are defined generically with respect to the organ or cell type where a reaction takes place. The cell type specificity of the reactions is the foundation of immunological research, and capturing this specificity is of paramount importance when using pathway-based analyses to decipher complex immunological datasets. Here, we present DC-ATLAS, a novel and versatile resource for the interpretation of high-throughput data generated perturbing the signaling network of dendritic cells (DCs).

resultsPathways are annotated using a novel data model, the Biological Connection Markup Language (BCML), a SBGN-compliant data format developed to store the large amount of information collected. The application of DC-ATLAS to pathway-based analysis of the transcriptional program of DCs stimulated with agonists of the toll-like receptor family allows an integrated description of the flow of information from the cellular sensors to the functional outcome, capturing the temporal series of activation events by grouping sets of reactions that occur at different time points in well-defined functional modules.

conclusionsThe initiative significantly improves our understanding of DC biology and regulatory networks. Developing a systems biology approach for immune system holds the promise of translating knowledge on the immune system into more successful immunotherapy strategies.

Identifiers

PMID21092113
PMCPMC3000836

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Registered trials

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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.