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Record W1990638987 · doi:10.1074/jbc.m009641200

Characteristics of the Interaction between Hsc70 and the Transferrin Receptor in Exosomes Released during Reticulocyte Maturation

2001· article· en· W1990638987 on OpenAlexafffund
Charles Géminard, Francine Nault, Rose M. Johnstone, Michel Vidal

Bibliographic record

VenueJournal of Biological Chemistry · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsMcGill University
FundersMedical Research CouncilMedical Research Council CanadaAssociation pour la Recherche sur le Cancer
KeywordsTransferrin receptorReticulocyteMicrovesiclesLuciferaseTransferrinBiologyHeat shock proteinCytosolChaperone (clinical)Hsp90ReceptorHsp70In vitroCell biologyBiochemistryMolecular biologyRNATransfectionmicroRNA

Abstract

fetched live from OpenAlex

The transferrin receptor (TfR) of reticulocytes is released in vesicular form (exosomes) during their maturation to erythrocytes. The heat shock cognate 70-kDa protein (Hsc70) has been demonstrated to interact with the cytosolic domain of the TfR and could thus trigger the receptor toward this secretion pathway. We investigated the characteristics of the interaction between Hsc70 and the TfR in exosomes with an in vitro binding assay using TfR immobilized on Sepharose beads and purified Hsc70. The results show that Hsc70 binds to exosomal TfR with characteristics expected of a chaperone/peptide interaction. We demonstrated that heat-denatured luciferase competed for in vitro binding, dependent on the nucleotide bound to Hsc70, and that this interaction activates the ATPase activity of Hsc70. Moreover, we used immunosuppressive agents that interact with Hsc70, thus decreasing Hsc70 binding to TfR in our in vitro binding assay and enabling us to assess the role of this interaction in vivo during reticulocyte maturation.

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)0.001
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
Metaresearch0.0000.001
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 head0.011
GPT teacher head0.236
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".

Quick stats

Citations68
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Biological ChemistrySame topicExtracellular vesicles in diseaseFrench-language works237,207