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Proteome analysis of nuclear Lipid‐Associated Promyelocytic Leukemia (PML) Structures (LAPS) Using Biotin Proximity Labelling

2022· article· en· W4225392238 on OpenAlexafffund
Jordan Thompson, Jayme Salsman, François‐Michel Boisvert, Benjamin Caradec, Graham Dellaire, Neale D. Ridgway

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsUniversité de SherbrookeDalhousie University
FundersCanadian Institutes of Health Research
KeywordsPromyelocytic leukemia proteinNuclear proteinBiochemistryLipid dropletCell biologyCardiolipinChemistryBiologyPhospholipidTranscription factor

Abstract

fetched live from OpenAlex

Lipid droplets (LD) are organelles composed of a phospholipid monolayer surrounding a core of and triacylglycerol and cholesterol ester. LD have a primary role in energy homeostasis and lipotoxic stress through the regulated storage and release of fatty acids. While LD are cytoplasmic, lipoprotein secreting cells harbor nuclear LD (nLD) that associate with PML, the structural protein of PML nuclear bodies (PML‐NB) that regulate DNA repair and stress responses. Knockout studies in U2OS cells indicated that the 50% of nLDs contain PML isoform II (PML‐II) and have a unique lipid and protein composition marked by the lack of canonical PML‐NB‐associated proteins, such as DAXX, SP100 and SUMO. Owing to their unique composition, we term these subnuclear lipid:protein domains, lipid‐associated PML structures (LAPS). To gain insight into LAPS function, we conducted proximity labeling and mass spectrometry (MS) studies using PML‐I and PML‐II modified by fusion to the ascorbate peroxidase APEX2 that uses biotin‐phenol to biotinylate proteins. U2OS and Huh7 cells expressing PML‐APEX2 fusion proteins were treated with and without oleate, and biotinylated proteins were isolated and analyzed by LC‐MS/MS. Using standard filtering techniques (CRAPome, SAINT, Bayesian false discovery rate) we identified several high confidence interacting proteins associated with the COPII coatomer complex, including Sec24A, Sec23IP, Sec24B, and Sec23B. These Sec23/24 proteins were associated with PML‐I and, to a lesser extent, PML‐II under oleate‐treated conditions. Sec23B was observed to associate with both PML‐NBs as well as LAPS by immunofluorescence microscopy in U2OS cells expressing PML‐II‐APEX2. The COPII pathway has previously been implicated in protein delivery to cytoplasmic LD setting a precedence for the interaction we observed with LAPS. Thus, given our preliminary data showing interaction between Sec 23/24 heterodimer, PML‐NBs and LAPS we are now pursuing the hypothesis that lipid membrane deformation and/or cargo transport activity in the nucleus by COPII proteins could play a role in lipid homeostasis.

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)0.0010.001

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 head0.239
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
Published2022
Admission routes2
Has abstractyes

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