ArticleMetabolites2017
Cell-Type Specific Metabolic Flux Analysis: A Challenge for Metabolic Phenotyping and a Potential Solution in Plants.
Article in Metabolites, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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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.
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Who cites it
9 citing papers in PubMed, 25 citations in OpenAlex.
- Mechanisms of metabolic adaptation in the duckweed Lemna gibba: an integrated metabolic, transcriptomic and flux analysis.BMC plant biology · 2023Article
- Past accomplishments and future challenges of the multi-omics characterization of leaf growth.Plant physiology · 2022Review
- Isotopically non-stationary metabolic flux analysis of heterotrophicFrontiers in plant science · 2022Article
- Whither metabolic flux analysis in plants?Journal of experimental botany · 2021Article
- Applications of nanobodies in plant science and biotechnology.Plant molecular biology · 2021Review
- Tracing metabolic flux through time and space with isotope labeling experiments.Current opinion in biotechnology · 2020Review
- Intracellular Mycobacterium tuberculosis Exploits Multiple Host Nitrogen Sources during Growth in Human Macrophages.Cell reports · 2019Article
- A Genome-Scale Metabolic Model of Soybean (Plant physiology · 2019Article
- Microenvironmental regulation of cancer cell metabolism: implications for experimental design and translational studies.Disease models & mechanisms · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stable isotope labelling experiments are used routinely in metabolic flux analysis (MFA) to determine the metabolic phenotype of cells and tissues. A complication arises in multicellular systems because single cell measurements of transcriptomes, proteomes and metabolomes in multicellular organisms suggest that the metabolic phenotype will differ between cell types. In silico analysis of simulated metabolite isotopomer datasets shows that cellular heterogeneity confounds conventional MFA because labelling data averaged over multiple cell types does not necessarily yield averaged flux values. A potential solution to this problem-the use of cell-type specific reporter proteins as a source of cell-type specific labelling data-is proposed and the practicality of implementing this strategy in the roots of
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Registered trials
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.