Evidence map›Paper›PMID 29109155›Full record

ArticleMolecular systems biology2017

Temporal fluxomics reveals oscillations in TCA cycle flux throughout the mammalian cell cycle.

Eunyong Ahn, Praveen Kumar, Dzmitry Mukha, Amit Tzur, Tomer Shlomi

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
11.4field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 92 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Eunyong AhnDepartment of Computer Science, Technion, Haifa, Israel.
Praveen KumarDepartment of Biology, Technion, Haifa, Israel.
Dzmitry MukhaDepartment of Biology, Technion, Haifa, Israel.
Amit TzurFaculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel.
Tomer ShlomiDepartment of Computer Science, Technion, Haifa, Israel tomersh@cs.technion.ac.il.ORCID 0000-0003-3491-5156
Technion – Israel Institute of Technology · ILBar-Ilan University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular metabolic demands change throughout the cell cycle. Nevertheless, a characterization of how metabolic fluxes adapt to the changing demands throughout the cell cycle is lacking. Here, we developed a temporal-fluxomics approach to derive a comprehensive and quantitative view of alterations in metabolic fluxes throughout the mammalian cell cycle. This is achieved by combining pulse-chase LC-MS-based isotope tracing in synchronized cell populations with computational deconvolution and metabolic flux modeling. We find that TCA cycle fluxes are rewired as cells progress through the cell cycle with complementary oscillations of glucose versus glutamine-derived fluxes: Oxidation of glucose-derived flux peaks in late G1 phase, while oxidative and reductive glutamine metabolism dominates S phase. These complementary flux oscillations maintain a constant production rate of reducing equivalents and oxidative phosphorylation flux throughout the cell cycle. The shift from glucose to glutamine oxidation in S phase plays an important role in cell cycle progression and cell proliferation.

Indexed as

Cell CycleCell ProliferationChromatography, LiquidCitric Acid CycleGlucoseGlutamineGlycolysisHeLa CellsHumansIsotope LabelingMass SpectrometryMetabolomeMetabolomicsOxidative PhosphorylationOxygen ConsumptionPeriodicityGlucoseGlutaminecell cyclecellular metabolismisotope tracingLC‐MSmetabolic flux analysis

Identifiers

PMID29109155
PMCPMC5731346
OpenAlexW2767704856

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Registered trials

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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.