Evidence map›Paper›PMID 27667771›Full record

ReviewMetabolic engineering2017

Understanding metabolism with flux analysis: From theory to application.

Ziwei Dai, Jason W Locasale

Open access · greenAbstract readReview
In one paragraph

Review in Metabolic engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

49 citing papers in PubMed, 90 citations in OpenAlex.

  1. Review
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  8. Anaerobic benzene oxidation inApplied and environmental microbiology · 2024
    Article
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  11. The intersection of hostMicrobiology and molecular biology reviews : MMBR · 2024
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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

2 authors at 1 institution in 1 country.

Ziwei DaiDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA.
Jason W LocasaleDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: jason.locasale@duke.edu.
Duke University · US

Funding

Dietary methionine and cancerR01CA193256 · NCI · DUKE UNIVERSITY · PI LOCASALE, JASON W. · 2015 to 2023
$3.1M
Understanding metabolic flux and the control of mammalian cell growthR00CA168997 · NCI · DUKE UNIVERSITY · PI LOCASALE, JASON W. · 2013 to 2015
$695k
Metabolic Reprogramming of Colon Cancer Liver MetastasisR21CA201963 · NCI · DUKE UNIVERSITY · PI LOCASALE, JASON W., SHEN, XILING · 2016 to 2017
$380k
NCI NIH HHS R00 CA168997NCI NIH HHS R01 CA193256NCI NIH HHS R21 CA201963
6 · The paper itself

Abstract

Quantitative and qualitative knowledge of metabolic rates (i.e. fluxes) over a metabolic network and in specific cellular compartments gives insights into the regulation of metabolism and helps to understand the contribution of metabolic alterations to pathology. In this review we introduce methodology to resolve metabolic fluxes from stable isotope labeling and relevant techniques in model development, model simplification, flux uncertainty analysis and experimental design that together is termed metabolic flux analysis. Finally we discuss applications using metabolic flux analysis to elucidate mechanisms pertinent to tumor cell metabolism. We hope that this review gives the readers a brief introduction of how flux analysis is conducted, how technical issues related to it are addressed, and how its application has contributed to our knowledge of tumor cell metabolism.

Indexed as

Metabolic Networks and PathwaysAnimalsHumansIsotope LabelingNeoplasmsCancer metabolismMetabolic flux analysis

Identifiers

PMID27667771
PMCPMC5362364
OpenAlexW2521505040

What OpenQuestion holds

Textmetadata
LicenceTDM
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.