Evidence map›Paper›PMID 32047482›Full record

ReviewFrontiers in microbiology2019

The Progress of Multi-Omics Technologies: Determining Function in Lactic Acid Bacteria Using a Systems Level Approach.

Shane Thomas O'Donnell, R Paul Ross, Catherine Stanton

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 97 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Metabolomics of HIV in the Modern cART Era.Advances in experimental medicine and biology · 2026
    Review
  8. Review
  9. Foods (Basel, Switzerland) · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. MoNETA: MultiOmics Network Embedding for SubType Analysis.NAR genomics and bioinformatics · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Rapid Detection of the Activity ofFoods (Basel, Switzerland) · 2023
    Article
  20. Deep longitudinal multi-omics analysis ofFrontiers in microbiology · 2023
    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 at 2 institutions in 1 country.

Shane Thomas O'DonnellTeagasc Food Research Centre, Moorepark, Fermoy, Ireland.
R Paul RossTeagasc Food Research Centre, Moorepark, Fermoy, Ireland.
Catherine StantonTeagasc Food Research Centre, Moorepark, Fermoy, Ireland.
APC Microbiome Institute · IEUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lactic Acid Bacteria (LAB) have long been recognized as having a significant impact ranging from commercial to health domains. A vast amount of research has been carried out on these microbes, deciphering many of the pathways and components responsible for these desirable effects. However, a large proportion of this functional information has been derived from a reductionist approach working with pure culture strains. This provides limited insight into understanding the impact of LAB within intricate systems such as the gut microbiome or multi strain starter cultures. Whole genome sequencing of strains and shotgun metagenomics of entire systems are powerful techniques that are currently widely used to decipher function in microbes, but they also have their limitations. An available genome or metagenome can provide an image of what a strain or microbiome, respectively, is potentially capable of and the functions that they may carry out. A top-down, multi-omics approach has the power to resolve the functional potential of an ecosystem into an image of what is being expressed, translated and produced. With this image, it is possible to see the real functions that members of a system are performing and allow more accurate and impactful predictions of the effects of these microorganisms. This review will discuss how technological advances have the potential to increase the yield of information from genomics, transcriptomics, proteomics and metabolomics. The potential for integrated omics to resolve the role of LAB in complex systems will also be assessed. Finally, the current software approaches for managing these omics data sets will be discussed.

Indexed as

genomicslactic acid bacteriametabolomicsmeta-omicsmicrobiomemulti-omicsproteomicstranscriptomics

Identifiers

PMID32047482
PMCPMC6997344
OpenAlexW3003268376

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.