Evidence map›Paper›PMID 30788345›Full record

ArticleFrontiers in molecular biosciences2019

Multi-Omics and Genome-Scale Modeling Reveal a Metabolic Shift During

Janna Hastings, Abraham Mains, Bhupinder Virk, Nicolas Rodriguez, Sharlene Murdoch, Juliette Pearce, Sven Bergmann, Nicolas Le Novère, Olivia Casanueva

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.5field-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

28 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Development of aging research inCurrent research in food science · 2024
    Review
  5. Review
  6. Human wild-type and D76N βFASEB bioAdvances · 2023
    Article
  7. iScience · 2023
    Review
  8. Article
  9. Genome-scale metabolic modeling andFrontiers in cellular and infection microbiology · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Quo VadisMetabolites · 2021
    Review
  18. Article
  19. Article
  20. Clavulanic Acid Production byAntibiotics (Basel, Switzerland) · 2021
    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

9 authors at 2 institutions in 2 countries.

Janna HastingsDepartment of Epigenetics, Babraham Institute, Cambridge, United Kingdom.
Abraham MainsDepartment of Epigenetics, Babraham Institute, Cambridge, United Kingdom.
Bhupinder VirkDepartment of Epigenetics, Babraham Institute, Cambridge, United Kingdom.
Nicolas RodriguezDepartment of Epigenetics, Babraham Institute, Cambridge, United Kingdom.
Sharlene MurdochDepartment of Epigenetics, Babraham Institute, Cambridge, United Kingdom.
Juliette PearceDepartment of Epigenetics, Babraham Institute, Cambridge, United Kingdom.
Sven BergmannDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Nicolas Le NovèreDepartment of Epigenetics, Babraham Institute, Cambridge, United Kingdom.
Olivia CasanuevaDepartment of Epigenetics, Babraham Institute, Cambridge, United Kingdom.
Babraham Institute · GBUniversity of Lausanne · CH

Funding

Multiplexed UPLC-MS/MS System for Advanced Target MetabolomicsS10OD021562 · OD · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2016 to 2016
$596k
NIH HHS S10 OD021562
6 · The paper itself

Abstract

In this contribution, we describe a multi-omics systems biology study of the metabolic changes that occur during aging in

Indexed as

agingC. elegansflux balance analysismetabolomicsmulti-omicssystems biologywhole genome model

Identifiers

PMID30788345
PMCPMC6372924
OpenAlexW2914654664

What OpenQuestion 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 OpenQuestion graph.