Evidence map›Paper›PMID 26885725›Full record

ReviewOmics : a journal of integrative biology2016

Systems Biology Approaches for Host-Fungal Interactions: An Expanding Multi-Omics Frontier.

Luka Culibrk, Carys A Croft, Scott J Tebbutt

Abstract readReview
In one paragraph

Review in Omics : a journal of integrative biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Insights from Mass Spectrometry-Based Proteomics onJournal of fungi (Basel, Switzerland) · 2025
    Review
  6. Decoding the Tissue-Specific Profiles of Bioactive Compounds inJournal of fungi (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. OMICS and Other Advanced Technologies in Mycological Applications.Journal of fungi (Basel, Switzerland) · 2023
    Review
  11. Review
  12. Review
  13. European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  14. Review
  15. Review
  16. Integration strategies of multi-omics data for machine learning analysis.Computational and structural biotechnology journal · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. Review
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

3 authors.

Luka Culibrk1 Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia , Vancouver, British Columbia, Canada .
Carys A Croft1 Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia , Vancouver, British Columbia, Canada .
Scott J Tebbutt1 Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia , Vancouver, British Columbia, Canada .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opportunistic fungal infections are an increasing threat for global health, and for immunocompromised patients in particular. These infections are characterized by interaction between fungal pathogen and host cells. The exact mechanisms and the attendant variability in host and fungal pathogen interaction remain to be fully elucidated. The field of systems biology aims to characterize a biological system, and utilize this knowledge to predict the system's response to stimuli such as fungal exposures. A multi-omics approach, for example, combining data from genomics, proteomics, metabolomics, would allow a more comprehensive and pan-optic "two systems" biology of both the host and the fungal pathogen. In this review and literature analysis, we present highly specialized and nascent methods for analysis of multiple -omes of biological systems, in addition to emerging single-molecule visualization techniques that may assist in determining biological relevance of multi-omics data. We provide an overview of computational methods for modeling of gene regulatory networks, including some that have been applied towards the study of an interacting host and pathogen. In sum, comprehensive characterizations of host-fungal pathogen systems are now possible, and utilization of these cutting-edge multi-omics strategies may yield advances in better understanding of both host biology and fungal pathogens at a systems scale.

Indexed as

Immunocompromised HostAspergillus fumigatusCandida albicansCryptococcus neoformansGene Regulatory NetworksGenomicsHost-Pathogen InteractionsHumansMetabolomicsMycosesOpportunistic InfectionsSingle Molecule ImagingSystems Biology

Identifiers

PMID26885725
PMCPMC4799697

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.