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Record W4210773514 · doi:10.1002/syn.22224

Endosomal recycling and dopamine neurotransmission: Exploring the links between the retromer and Parkinson's disease

2022· review· en· W4210773514 on OpenAlexaff
Nathan Gock, Jordan Follett, Gordon L. Rintoul, Timothy V. Beischlag, Frank J.S. Lee

Bibliographic record

VenueSynapse · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRetromerDopamineEndosomeNeurotransmissionDopamine transporterNeuroscienceDopamine Plasma Membrane Transport ProteinsDopaminergicBiologyCell biologyReceptorBiochemistry

Abstract

fetched live from OpenAlex

The retromer complex is an evolutionarily conserved protein complex involved in the endosomal recycling of various cargo proteins. It is ubiquitously expressed in all tissue and is found in both invertebrate as well as mammalian nervous systems, where it recycles various synaptic membrane proteins including the dopamine transporter and dopamine D1 receptor, two proteins implicated in dopamine homeostasis and neurotransmission. The involvement of the retromer complex in dopamine neurobiology is further underscored by its links to Parkinson's disease, a neurodegenerative disorder of the dopamine system. In this article, the existing literature linking the retromer complex to synaptic function and dopamine homeostasis is reviewed. Additional possible links are highlighted by exploring the retromer and other Parkinson's disease-associated proteins and possible relationships to synaptic function and dopamine transmission.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.998
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.274
Teacher spread0.215 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2022
Admission routes1
Has abstractyes

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