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Record W2892342950 · doi:10.1080/19336896.2018.1525254

A simple in vitro assay for assessing the efficacy, mechanisms and kinetics of anti-prion fibril compounds

2018· article· en· W2892342950 on OpenAlexafffund
Carol L. Ladner-Keay, Li Ross, Rolando Pérez, Lun Zhang, Trent C. Bjorndahl, Neil R. Cashman, David S. Wishart

Bibliographic record

VenuePrion · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsUniversity of British ColumbiaUniversity of Alberta
FundersCanadian Institutes of Health ResearchDirectorate for Biological Sciences
KeywordsFibrilChemistryOligomerIn vitroBiochemistryKineticsAmyloid (mycology)BiophysicsBiology

Abstract

fetched live from OpenAlex

Prion diseases are caused by the conversion of normal cellular prion proteins (PrP) into lethal prion aggregates. These prion aggregates are composed of proteinase K (PK) resistant fibrils and comparatively PK-sensitive oligomers. Currently there are no anti-prion pharmaceuticals available to treat or prevent prion disease. Methods of discovering anti-prion molecules rely primarily on relatively complex cell-based, tissue slice or animal-model assays that measure the effects of small molecules on the formation of PK-resistant prion fibrils. These assays are difficult to perform and do not detect the compounds that directly inhibit oligomer formation or alter prion conversion kinetics. We have developed a simple cell-free method to characterize the impact of anti-prion fibril compounds on both the oligomer and fibril formation. In particular, this assay uses shaking-induced conversion (ShIC) of recombinant PrP in a 96-well format and resolution enhanced native acidic gel electrophoresis (RENAGE) to generate, assess and detect PrP fibrils in a high throughput fashion. The end-point PrP fibrils from this assay can be further characterized by PK analysis and negative stain transmission electron microscopy (TEM). This cell-free, gel-based assay generates metrics to assess anti-prion fibril efficacy and kinetics. To demonstrate its utility, we characterized the action of seven well-known anti-prion molecules: Congo red, curcumin, GN8, quinacrine, chloropromazine, tetracycline, and TUDCA (taurourspdeoxycholic acid), as well as four suspected anti-prion compounds: trans-resveratrol, rosmarinic acid, myricetin and ferulic acid. These findings suggest that this in vitro assay could be useful in identifying and comprehensively assessing novel anti-prion fibril compounds.Abbreviations: PrP, prion protein; PK, proteinase K; ShIC, shaking-induced conversion; RENAGE, resolution enhanced native acidic gel electrophoresis; TEM, transmission electron microscopy; TUDCA, taurourspdeoxycholic acid; BSE, bovine spongiform encephalopathy; CWD, chronic wasting disease; CJD, Creutzfeldt Jakob disease; GSS, Gerstmann–Sträussler–Scheinker syndrome; FFI, fatal familial insomnia; PrPc, cellular prion protein; recPrPC, recombinant monomeric prion protein; PrPSc, infectious particle of misfolded prion protein; RT-QuIC, real-time quaking-induced conversion; PMCA, Protein Misfolding Cyclic Amplification; LPS, lipopolysaccharide; EGCG, epigallocatechin gallate; GN8, 2-pyrrolidin-1-yl-N-[4-[4-(2-pyrrolidin-1-yl-acetylamino)-benzyl]-phenyl]-acetamide; DMSO, dimethyl sulfoxide; ScN2A, scrapie infected neuroblastoma cells; IC50, inhibitory concentration for 50% reduction; recMoPrP 23−231, recombinant full-length mouse prion protein residues 23-231; EDTA; PICUP, photo-induced cross-linking of unmodified protein; BSA, bovine serum albumin;; PMSF, phenylmethanesulfonyl fluoride.

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 score0.037
Threshold uncertainty score0.276

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 head0.015
GPT teacher head0.296
Teacher spread0.282 · 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

Citations17
Published2018
Admission routes2
Has abstractyes

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