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Novel Interactions of Yeast Glycerol‐3‐Phosphate Acyltransferases

2016· article· en· W4389026576 on OpenAlexafffundabout
Brittney Shabits, Marjan Tavassoli, Vanina Zaremberg

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhosphatidic acidAcyltransferasesLysophosphatidic acidBiochemistryAcyltransferaseAdipose triglyceride lipaseEndoplasmic reticulumYeastGlycerophospholipidsChemistrySaccharomyces cerevisiaeBiologyBiosynthesisLipasePhospholipidEnzymeReceptor

Abstract

fetched live from OpenAlex

Glycerol‐3‐phosphate acyltransferases (GPATs) catalyze the first committed and rate limiting step in the de novo synthesis of glycerophospholipids and neutral triacylglycerols. GPATs transfer an acyl group from acyl‐coenzyme A to the sn‐1 position of glycerol‐3‐phosphate to produce 1‐acyl glycerol‐3‐phosphate (lysophosphatidic acid). Lysophosphatidic acid can then be further acylated by a second acyltransferase to produce phosphatidic acid, a signalling lipid and key intermediate in lipid biosynthesis. In the model organism yeast Saccharomyces cerevisiae two GPATs, Gpt2 and Sct1, have been identified. Both are integral membrane proteins located to the endoplasmic reticulum (ER), differentially enriched in ER domains. Interestingly, we have shown that Gpt2 (but not Sct1) is responsible for channeling oleate (C18:1) into triacylglycerol that is eventually stored in lipid droplets. Furthermore, our studies on oleate metabolism unveiled novel ER structures that surround lipid droplets and are differentially enriched in Gpt2 while devoid of Sct1. In addition, we also uncovered a dynamic post‐translational regulation of Gpt2 and Sct1 through phosphorylation that responds to growth phase, carbon source and cellular GPAT imbalance. The aim of this work was to understand how GPAT interactions with other proteins contribute to their spatial distribution in the ER and to lipid synthesis partitioning. In order to identify potential protein interactors, Gpt2 and Sct1 were overproduced in cells deleted for endogenous GPATs and then isolated from lysates and microsomes using co‐immuno‐affinity and Ni‐NTA affinity chromatography purification techniques. Potential interactors co‐purifying with Gpt2 or Sct1 were identified through liquid chromatography‐tandem mass spectrometry (LC‐MS/MS). Our results suggest that Gpt2 and Sct1 differentially associate with ER sites where inter‐organelle transport of lipids occurs. Of importance are the contact sites between ER‐mitochondria, ER‐lipid droplets and the nuclear‐vacuolar junction. Support or Funding Information This work was supported by an operating grant from the Natural Sciences and Engineering Research Council of Canada to VZ.

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 score0.004

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 head0.014
GPT teacher head0.238
Teacher spread0.224 · 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
Published2016
Admission routes3
Has abstractyes

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