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Record W4241517305 · doi:10.3410/f.734003909.793551750

Faculty Opinions recommendation of A Novel Class of ER Membrane Proteins Regulates ER-Associated Endosome Fission.

2018· dataset· en· W4241517305 on OpenAlexaff
Christopher Loewen, Jesse T. Chao

Bibliographic record

VenueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2018
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsUniversity of British Columbia
FundersDefense Advanced Research Projects AgencyNational Institutes of HealthAmerican Cancer SocietyNational Science Foundation
KeywordsEndosomeEndoplasmic reticulumCell biologyGolgi apparatusBiologyChemistry

Abstract

fetched live from OpenAlex

ER membrane contact sites (MCSs) mark positions where endosomes undergo fission for cargo sorting.To define the role of ER at this unique MCS, we targeted a promiscuous biotin ligase to cargo sorting domains on endosome buds.This strategy identified the ER membrane protein TMCC1, a member of a conserved protein family.TMCC1 concentrates at the ER-endosome MCSs that are spatially and temporally linked to endosome fission.When TMCC1 is depleted, endosome morphology is normal, buds still form, but ER-associated bud fission and subsequent cargo sorting to the Golgi are impaired.We find that the endosome-localized actin regulator Coronin1C is required for ER-associated fission of actin-dependent cargo sorting domains.Coronin1C is recruited to endosome buds independently of TMCC1, while TMCC1/ER recruitment requires Coronin1C.This link between TMCC1 and Coronin1C suggests the timing of TMCC1-dependent ER recruitment is tightly regulated to occur after cargo has been properly sequestered into the bud.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.028
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.025

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 head0.024
GPT teacher head0.311
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature→Same topicCellular transport and secretion→French-language works237,207→