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Record W2610272157 · doi:10.1080/21541248.2017.1308852

Rab17 mediates intermixing of phagocytosed apoptotic cells with recycling endosomes

2017· article· en· W2610272157 on OpenAlexafffund
Charles Yin, Dean Argintaru, Bryan Heit

Bibliographic record

VenueSmall GTPases · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsPhagolysosomeEndosomeEfferocytosisCell biologyBiologyPhagocytosisVesiclePhagosomeIntracellularMacrophageMembraneIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Efferocytosis-the phagocytic removal of apoptotic cells-is required for preventing the presentation of apoptotic cell-derived antigens. This process is regulated by Rab17-dependent sorting of efferocytosed cargos from the phagolysosome to recycling endosomes. In this study we demonstrate that Rab17 is rapidly recruited to efferosomes, followed by migration of the efferosome to the cell center where it intermixes with lysosomes and undergoes Rab17-dependent vesiculation. These efferosome-derived vesicles then traffic in a Rab17-dependent manner to the cell periphery, where they transfer cargo to recycling endosomes. Combined, our observations support a model wherein efferosomes migrate to the cell center to acquire degradative enzymes, followed by peripheral migration to prevent further phagolysosome maturation and to enable cargo transfer to recycling endosomes.

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 score0.002
Threshold uncertainty score0.006

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 communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.246
Teacher spread0.219 · 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

Citations23
Published2017
Admission routes2
Has abstractyes

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