Evidence map›Paper›PMID 30298258›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions.

Richard R Rodrigues, Natalia Shulzhenko, Andrey Morgun

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Integrating multi-omics data: Methods and applications in human complex diseases.Biotechnology reports (Amsterdam, Netherlands) · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. The Gut Microbiota in Inflammatory Bowel Disease.Frontiers in cellular and infection microbiology · 2022
    Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

3 authors.

Richard R RodriguesCollege of Pharmacy, Oregon State University, Corvallis, OR, USA. rodrrich@oregonstate.edu.
Natalia ShulzhenkoCollege of Veterinary Medicine, Oregon State University, Corvallis, OR, USA.
Andrey MorgunCollege of Pharmacy, Oregon State University, Corvallis, OR, USA. andriy.morgun@oregonstate.edu.

Funding

Gut microbiota mediates the interplay between immunity and glucose metabolismR01DK103761 · NIDDK · OREGON STATE UNIVERSITY · PI SHULZHENKO, NATALIA · 2015 to 2019
$1.7M
Anti-IL-12p40 Treatment of CVID Enteropathy: Gene Expression/Microbiota AnalysisU01AI109695 · NIAID · OREGON STATE UNIVERSITY · PI MORGUN, ANDRIY · 2013 to 2015
$951k
NIAID NIH HHS U01 AI109695NIDDK NIH HHS R01 DK103761
6 · The paper itself

Abstract

Improvements in sequencing technologies and reduced experimental costs have resulted in a vast number of studies generating high-throughput data. Although the number of methods to analyze these "omics" data has also increased, computational complexity and lack of documentation hinder researchers from analyzing their high-throughput data to its true potential. In this chapter we detail our data-driven, transkingdom network (TransNet) analysis protocol to integrate and interrogate multi-omics data. This systems biology approach has allowed us to successfully identify important causal relationships between different taxonomic kingdoms (e.g., mammals and microbes) using diverse types of data.

Indexed as

Gene Regulatory NetworksHost Microbial InteractionsMicrobiotaAnimalsComputational BiologyHumansSystems BiologyCausal relationshipsNetwork analysisOmicsTranskingdom

Identifiers

PMID30298258
PMCPMC6557635

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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.