Evidence map›Paper›PMID 23406717›Full record

ArticleJournal of innate immunity2013

Identification of infection- and defense-related genes via a dynamic host-pathogen interaction network using a Candida albicans-zebrafish infection model.

Zong-Yu Kuo, Yung-Jen Chuang, Chun-Cheih Chao, Fu-Chen Liu, Chung-Yu Lan, Bor-Sen Chen

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of innate immunity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. The Zebrafish as a Model Host for Invasive Fungal Infections.Journal of fungi (Basel, Switzerland) · 2018
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Chasing flies because time flies.Journal of innate immunity · 2015
    Article
  13. Review
  14. Studying the immune response to human viral infections using zebrafish.Developmental and comparative immunology · 2014
    Review
  15. Article
  16. Article
  17. Systems biology and innate immunity.Journal of innate immunity · 2013
    Article
  18. 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

6 authors at 1 institution in 1 country.

Zong-Yu KuoLaboratory of Control and Systems Biology, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, ROC.
Yung-Jen Chuang
Chun-Cheih Chao
Fu-Chen Liu
Chung-Yu Lan
Bor-Sen Chen
National Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Candida albicans infections and candidiasis are difficult to treat and create very serious therapeutic challenges. In this study, based on interactive time profile microarray data of C. albicans and zebrafish during infection, the infection-related protein-protein interaction (PPI) networks of the two species and the intercellular PPI network between host and pathogen were simultaneously constructed by a dynamic interaction model, modeled as an integrated network consisting of intercellular invasion and cellular defense processes during infection. The signal transduction pathways in regulating morphogenesis and hyphal growth of C. albicans were further investigated based on significant interactions found in the intercellular PPI network. Two cellular networks were also developed corresponding to the different infection stages (adhesion and invasion), and then compared with each other to identify proteins from which we can gain more insight into the pathogenic role of hyphal development in the C. albicans infection process. Important defense-related proteins in zebrafish were predicted using the same approach. The hyphal growth PPI network, zebrafish PPI network and host-pathogen intercellular PPI network were combined to form an integrated infectious PPI network that helps us understand the systematic mechanisms underlying the pathogenicity of C. albicans and the immune response of the host, and may help improve medical therapies and facilitate the development of new antifungal drugs.

Indexed as

Disease Models, AnimalHost-Parasite InteractionsModels, ImmunologicalZebrafishAnimalsCandida albicansCandidiasisCell CommunicationComputational BiologyHumansHyphaeImmunity, InnateMicroarray AnalysisMorphogenesisProtein Interaction MapsSignal Transduction

Identifiers

PMID23406717
PMCPMC6741531
OpenAlexW1992458668

What OpenQuestion holds

Textmetadata
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.