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Record W4282970118 · doi:10.1016/j.xpro.2022.101475

Measuring EGFR plasma membrane density, stability, internalization, and recycling in alive adherent cells by cell surface ELISA

2022· article· en· W4282970118 on OpenAlexafffund
Jalal M. Kazan, Ariadna Pollato-Blanco, Gergely L. Lukács, Arnim Pause

Bibliographic record

VenueSTAR Protocols · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsMcGill University
FundersCanadian Cancer Society Research InstituteCanadian Institutes of Health Research
KeywordsInternalizationFlow cytometryCellReceptorCell surface receptorCell membraneChemistryBiophysicsEndocytosisCell biologyMolecular biologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

EGFR cell surface density, stability, internalization, and recycling can be measured by cell surface ELISA (cs-ELISA). Performing this experiment on ice impedes receptor internalization; thus the physiological cell surface receptor levels can be measured by cs-ELISA. Cell surface EGFR levels are detected by measuring Amplex Red fluorescence intensity. Although cell surface receptor levels can be measured by flow cytometry, cs-ELISA does not include cell dissociation steps that might affect cell surface receptor levels. For complete details on the use and execution of this protocol, please refer to Kazan et al. (2019).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.822

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 head0.262
Teacher spread0.237 · 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 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

Citations0
Published2022
Admission routes2
Has abstractyes

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