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Phosphorylation of the glycerol 3‐phosphate acyltransferase Gpt2 regulates the timing of TAG mobilization upon growth resumption

2017· article· en· W4389022084 on OpenAlexafffund
Marjan Tavassoli, Bernadette Nagler, Brittney Shabits, Arturo López‐Villalobos, Karin Athenstaedt, Vanina Zaremberg

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAustrian Science Fund
KeywordsPhosphatidic acidPhosphorylationBiochemistryOleic acidChemistryMutantCell biologyAcyltransferaseBiologyPhospholipidEnzymeGene

Abstract

fetched live from OpenAlex

Glycerol‐3‐phosphate acyltransferases (GPATs) catalyze the first step of glycerol‐3‐phosphate acylation at the sn‐1 position producing lyso‐phosphatidic acid. This is the committed and rate limiting step in de‐novo synthesis of phosphatidic acid, the key intermediate in the glycerophospholipids and triacylglycerols (TAG) biosynthetic pathways. Two GPATs have been identified in S cerevisiae , Gpt2 and Sct1. Gpt2 (but not Sct1) becomes essential when cells are grown with oleic acid as the only carbon source. While oleic acid induced large accumulation of lipid droplets (LDs) in wild‐type cells, cells lacking GPT2 failed to accumulate these storage compartments of TAG and other neutral lipids. This lead to a growth defect and significant reduction of cell viability. We were intrigued by the fact that the intracellular distribution of Gpt2 and its phosphorylation status changed under these growth conditions compared to growth on glucose. We identified several phosphoresidues in Gpt2 by mass spectrometry analysis, localized to a serine rich region in the carboxy‐terminus of the protein. To investigate the role of phosphorylation in the regulation of Gpt2, the phosphorylation status of the protein was manipulated by introducing Ser to Ala or to Asp mutations in the GPT2 locus. Importantly, all phosphorylation mutants were expressed at physiological levels and could support life in the absence of Sct1, indicating these mutants are functional. During characterization studies of these mutants, we have discovered that changes in the phosphorylation status of Gpt2 affect its ER distribution, with the protein concentrating at points of contact with lipid droplets in actively growing cells. Staining of neutral lipids with BODIPY™ 493/503 or Nile red, indicated that specific serine to alanine mutations result in larger lipid droplets compare to those in wild type cells. We determined that this phenotype was indeed accompanied by a significant increase in TAG levels, mostly notorious during exponential growth. The differences in LD size and TAG accumulation became milder during stationary phase. SDS‐PAGE analysis of wild type Gpt2 indicated that the phosphorylation pattern of the protein changes in stationary phase, with the appearance of a faster migrating band that resembles that observed for the S to A mutants. Interestingly, this second band vanishes upon growth resumption, coinciding with TAG mobilization and lipolysis. Microscopy inspection of S to A phosphomutant strains showed a clear delay in LD size reduction up to 5 hours after resuspension of 5‐days stationary phase cells in fresh medium. This was also accompanied by a delay in TAG consumption. These results highlight the role of Gpt2 in coordinating synthesis and glycerolipid turnover in response to nutrients. Altogether, it appears that phosphorylation regulates Gpt2 interaction with lipid droplets, allowing TAG mobilization upon growth resumption from a quiescent state. Support or Funding Information This work has been financially supported by NSERC (to V.Z. and B.S.) and the Austrian Science Fund (FWF; Project P21251 to K.A.)

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 score0.005

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.240
Teacher spread0.225 · 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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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