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Record W4310539748 · doi:10.1016/j.xpro.2022.101894

In vitro and in cellulo ApoE particle formation, isolation, and characterization

2022· article· en· W4310539748 on OpenAlexfundno aff
Karina Lindner, Larissa van Ek, Khader Awwad, Franziska Hanke, Alla Korepanova, Vladimir Rybin, Katharina Beckenbauer, Anne‐Claude Gavin

Bibliographic record

VenueSTAR Protocols · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsnot available
FundersOntario Institute for Regenerative MedicineUniversität ZürichUniversité de GenèveEidgenössische Technische Hochschule ZürichLouis-Jeantet FoundationEuropean Molecular Biology LaboratoryAbbVie
KeywordsParticle (ecology)In vitroScatteringImmunoprecipitationApolipoprotein EMembraneCharacterization (materials science)Dynamic light scatteringChemistryBiophysicsLight scatteringFatty acidIsolation (microbiology)Chemical engineeringChromatographyBiochemistryChemical physicsMaterials scienceNanotechnologyGenePhysicsOpticsBiologyBioinformaticsNanoparticleEngineering

Abstract

fetched live from OpenAlex

Apolipoprotein E (ApoE) particles are responsible for packing and transporting lipids throughout aqueous environments. We detail steps to assess in vitro particles forming from artificial membranes using right-angle light scattering and to measure their size using dynamic light scattering. We further describe how to generate in cellulo ApoE particles containing triacylglycerol under fatty-acid-induced stress. We also detail steps to isolate them from cell secretome by immunoprecipitation and analyze their lipid cargo by thin-layer chromatography. For complete details on the use and execution of this protocol, please refer to Lindner 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.

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 score0.038
Threshold uncertainty score0.232

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 head0.010
GPT teacher head0.260
Teacher spread0.250 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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