Evidence map›Paper›PMID 30903027›Full record

ArticleNature communications2019

Spatial-fluxomics provides a subcellular-compartmentalized view of reductive glutamine metabolism in cancer cells.

Won Dong Lee, Dzmitry Mukha, Elina Aizenshtein, Tomer Shlomi

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 70 citations in OpenAlex.

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  6. The bioenergetic landscape of cancer.Molecular metabolism · 2024
    Review
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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

4 authors at 1 institution in 1 country.

Won Dong LeeFaculty of Biology, Technion, 32000, Haifa, Israel.ORCID http://orcid.org/0000-0002-2344-171X
Dzmitry MukhaFaculty of Biology, Technion, 32000, Haifa, Israel.
Elina AizenshteinLokey Center for Life Science and Engineering, Technion, 32000, Haifa, Israel.
Tomer ShlomiFaculty of Biology, Technion, 32000, Haifa, Israel. tomersh@cs.technion.ac.il.
Technion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inability to inspect metabolic activities within subcellular compartments has been a major barrier to our understanding of eukaryotic cell metabolism. Here, we describe a spatial-fluxomics approach for inferring metabolic fluxes in mitochondria and cytosol under physiological conditions, combining isotope tracing, rapid subcellular fractionation, LC-MS-based metabolomics, computational deconvolution, and metabolic network modeling. Applied to study reductive glutamine metabolism in cancer cells, shown to mediate fatty acid biosynthesis under hypoxia and defective mitochondria, we find a previously unappreciated role of reductive IDH1 as the sole net contributor of carbons to fatty acid biosynthesis under standard normoxic conditions in HeLa cells. In murine cells with defective SDH, we find that reductive biosynthesis of citrate in mitochondria is followed by a reversed CS activity, suggesting a new route for supporting pyrimidine biosynthesis. We expect this spatial-fluxomics approach to be a highly useful tool for elucidating the role of metabolic dysfunction in human disease.

Indexed as

Cell CompartmentationMetabolic Flux AnalysisAnimalsCarbon IsotopesCell HypoxiaCitrate (si)-SynthaseCitric AcidCitric Acid CycleCytosolGlutamineHeLa CellsHumansIsocitrate DehydrogenaseMetabolomeMiceMitochondriaCarbon IsotopesCitrate (si)-SynthaseCitric AcidGlutamineIsocitrate DehydrogenaseSuccinate Dehydrogenase

Identifiers

PMID30903027
PMCPMC6430770
OpenAlexW2924911015

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.