Evidence map›Paper›PMID 22416242›Full record

ArticleFrontiers in microbiology2012

An Interspecies Regulatory Network Inferred from Simultaneous RNA-seq of Candida albicans Invading Innate Immune Cells.

Lanay Tierney, Jörg Linde, Sebastian Müller, Sascha Brunke, Juan Camilo Molina, Bernhard Hube, Ulrike Schöck, Reinhard Guthke, Karl Kuchler

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

73 citing papers in PubMed, 131 citations in OpenAlex.

  1. Article
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  6. Article
  7. Review
  8. Simultaneous profiling ofComputational and structural biotechnology journal · 2021
    Article
  9. Article
  10. Article
  11. AoB PLANTS · 2019
    Review
  12. The Transcriptional Profile ofPathogens (Basel, Switzerland) · 2019
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Dual Analysis of Virus-Host Interactions: The Case ofEvolutionary bioinformatics online · 2019
    Review
  18. Article
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Lanay TierneyChristian Doppler Laboratory for Infection Biology, Max F. Perutz Laboratories, Medical University of Vienna Vienna, Austria.
Jörg Linde
Sebastian Müller
Sascha Brunke
Juan Camilo Molina
Bernhard Hube
Ulrike Schöck
Reinhard Guthke
Karl Kuchler
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DEGATC Biotech (Germany) · DEMax Perutz Labs · ATMedical University of Vienna · AT

Funding

Austrian Science Fund FWF I 746
6 · The paper itself

Abstract

The ability to adapt to diverse micro-environmental challenges encountered within a host is of pivotal importance to the opportunistic fungal pathogen Candida albicans. We have quantified C. albicans and M. musculus gene expression dynamics during phagocytosis by dendritic cells in a genome-wide, time-resolved analysis using simultaneous RNA-seq. A robust network inference map was generated from this dataset using NetGenerator, predicting novel interactions between the host and the pathogen. We experimentally verified predicted interdependent sub-networks comprising Hap3 in C. albicans, and Ptx3 and Mta2 in M. musculus. Remarkably, binding of recombinant Ptx3 to the C. albicans cell wall was found to regulate the expression of fungal Hap3 target genes as predicted by the network inference model. Pre-incubation of C. albicans with recombinant Ptx3 significantly altered the expression of Mta2 target cytokines such as IL-2 and IL-4 in a Hap3-dependent manner, further suggesting a role for Mta2 in host-pathogen interplay as predicted in the network inference model. We propose an integrated model for the functionality of these sub-networks during fungal invasion of immune cells, according to which binding of Ptx3 to the C. albicans cell wall induces remodeling via fungal Hap3 target genes, thereby altering the immune response to the pathogen. We show the applicability of network inference to predict interactions between host-pathogen pairs, demonstrating the usefulness of this systems biology approach to decipher mechanisms of microbial pathogenesis.

Indexed as

Candidadendritic cellshost–pathogenmodelingnetwork inferencereverse engineeringRNA-seq

Identifiers

PMID22416242
PMCPMC3299011
OpenAlexW2068373367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.