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Record W1541911679 · doi:10.1096/fasebj.21.6.a1023-b

The Hsp110 molecular chaperone stabilizes apolipoprotein B from endoplasmic reticulum associated degradation

2007· article· en· W1541911679 on OpenAlexaff
Stacy Hrizo, Viktoria Gusarova, Jennifer L. Goeckeler-Fried, Edward A. Fisher, Jeffrey L. Brodsky

Bibliographic record

VenueThe FASEB Journal · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsYork University
Fundersnot available
KeywordsEndoplasmic-reticulum-associated protein degradationApolipoprotein BEndoplasmic reticulumProteasomeChaperone (clinical)YeastCell biologyProtein degradationCytosolChemistrySaccharomyces cerevisiaeSecretionBiochemistryBiologyUnfolded protein responseCholesterolEnzyme

Abstract

fetched live from OpenAlex

Apolipoprotein B (apoB) is the most abundant protein in low‐density lipoproteins and plays key roles in cholesterol homeostasis. The co‐translational degradation of apoB is controlled by fatty acid levels in the ER and is mediated by the proteasome. To define the mechanism of apoB degradation, we employed a cell‐free system in which proteasome‐dependent degradation is recapitulated with yeast cytosol and we developed an apoB yeast expression system. We discovered that a yeast Hsp110, Sse1p, associates with and stabilizes apoB, which contrasts with data indicating that Hsp70 and Hsp90 facilitate apoB degradation. However, the Ssb chaperones, another class of Hsp70s, have no effect on apoB turnover. To determine whether our results are relevant in mammalian cells, Hsp110 was over‐expressed in hepatocytes and enhanced apoB secretion was observed. This study indicates that chaperones within distinct complexes can play unique roles during ER associated degradation (ERAD), establishes a role for Sse1/Hsp110 in ERAD, and identifies Hsp110 as a target to lower cholesterol.

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 score0.002

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 head0.012
GPT teacher head0.264
Teacher spread0.253 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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