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Record W2795013773 · doi:10.1016/j.celrep.2018.03.017

Serine Availability Influences Mitochondrial Dynamics and Function through Lipid Metabolism

2018· article· en· W2795013773 on OpenAlexfundno aff
Xia Gao, Katie Lee, Michael A. Reid, Sydney M. Sanderson, Chuping Qiu, Siqi Li, Juan Liu, Jason W. Locasale

Bibliographic record

VenueCell Reports · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsnot available
FundersNational Cancer InstituteCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsSerineCeramideBiologyCell biologyBiochemistryMitochondrionLipid metabolismSphingolipidGlutamineAmino acidApoptosisPhosphorylation

Abstract

fetched live from OpenAlex

Cell proliferation can be dependent on the non-essential amino acid serine, and dietary restriction of serine inhibits tumor growth, but the underlying mechanisms remain incompletely understood. Using a metabolomics approach, we found that serine deprivation most predominantly impacts cellular acylcarnitine levels, a signature of altered mitochondrial function. Fuel utilization from fatty acid, glucose, and glutamine is affected by serine deprivation, as are mitochondrial morphological dynamics leading to increased fragmentation. Interestingly, these changes can occur independently of nucleotide and redox metabolism, two known major functions of serine. A lipidomics analysis revealed an overall decrease in ceramide levels. Importantly, supplementation of the lipid component of bovine serum or C16:0-ceramide could partially restore defects in cell proliferation and mitochondrial fragmentation induced by serine deprivation. Together, these data define a role for serine in supporting mitochondrial function and cell proliferation through ceramide metabolism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.234
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations257
Published2018
Admission routes1
Has abstractyes

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