Evidence map›Paper›PMID 17286851›Full record

ArticleMicrobial cell factories2007

Fluxome analysis using GC-MS.

Christoph Wittmann

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
4.8field-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

60 citing papers in PubMed, 227 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Ex VivoBiomolecules · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. GC/MS-basedMicrobial cell factories · 2022
    Article
  9. Article
  10. mfapy: An open-source Python package forMetabolic engineering communications · 2021
    Article
  11. Article
  12. Convergent evolution of zoonoticProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Frontiers in microbiology · 2019
    Article
  19. Article
  20. Metabolic flux analysis in Ashbya gossypii usingMicrobial cell factories · 2018
    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

1 author at 1 institution in 1 country.

Christoph WittmannBiochemical Engineering Institute, Saarland University, Saarbrücken, Germany. c.wittmann@mx.uni-saarland.de
Saarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluxome analysis aims at the quantitative analysis of in vivo carbon fluxes in metabolic networks, i. e. intracellular activities of enzymes and pathways. It allows investigating the effects of genetic or environmental modifications and thus precisely provides a global perspective on the integrated genetic and metabolic regulation within the intact metabolic network. The experimental and computational approaches developed in this area have revealed fascinating insights into metabolic properties of various biological systems. Most of the comprehensive approaches for metabolic flux studies today involve isotopic tracer studies and GC-MS for measurement of the labeling pattern of metabolites. Initially developed and applied mainly in the field of biomedicine these GC-MS based metabolic flux approaches have been substantially extended and optimized during recent years and today display a key technology in metabolic physiology and biotechnology.

Identifiers

PMID17286851
PMCPMC1805451
OpenAlexW1793404797

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.