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Record W4321767363 · doi:10.1016/j.xpro.2023.102113

Visualization of α-synuclein trafficking via nanogold labeling and electron microscopy

2023· article· en· W4321767363 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSTAR Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersCanadian Institutes of Health ResearchFonds de recherche du QuébecCanada First Research Excellence FundParkinson Society CanadaRoyal Society of CanadaMcGill University
KeywordsInternalizationElectron microscopeNegative stainMicroscopyAtomic force microscopyFibrilChemistryCell biologyBiophysicsNanotechnologyMaterials sciencePathologyBiologyBiochemistryMedicineCellPhysicsOptics

Abstract

fetched live from OpenAlex

There is conflicting evidence regarding the mechanisms of α-synuclein internalization, and its trafficking itinerary following cellular entry remains largely unknown. To examine these issues, we describe steps for coupling α-synuclein preformed fibrils (PFFs) to nanogold beads and their subsequent characterization by electron microscopy (EM). Then we describe the uptake of conjugated PFFs by U2OS cells plated on Permanox 8-well chamber slides. This process eliminates the reliance on antibody specificity and the need to employ complex immunoEM staining protocols. For complete details on the use and execution of this protocol, please refer to Bayati et al. (2022).1

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.425

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 integrity0.0000.000
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 head0.025
GPT teacher head0.366
Teacher spread0.341 · 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