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Biochemical Isolation of Insoluble Tau in Transgenic Mouse Models of Tauopathies

2012· review· en· W186368040 on OpenAlexafffund
Carl Julien, Alexis Bretteville, Emmanuel Planel

Bibliographic record

VenueMethods in molecular biology · 2012
Typereview
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsCentre hospitalier de l'Université Laval
FundersCanadian Institutes of Health ResearchAlzheimer Society
KeywordsTauopathyTau proteinGenetically modified mouseNeuroscienceTransgeneBiologyIsolation (microbiology)Tau pathologyDiseaseCell biologyNeurodegenerationBiochemistryAlzheimer's diseasePathologyMedicineBioinformatics

Abstract

fetched live from OpenAlex

Tau is a highly soluble microtubule-associated protein (MAP) that is abundant in the central nervous system and expressed mainly in neuronal axons. Intracellular aggregates of insoluble tau protein are present in a group of neurodegenerative diseases called tauopathies, which include Alzheimer's disease. Numerous transgenic mouse models of tauopathies have been produced in the last decade, and analysis of insoluble tau in these animals has provided a powerful tool to understand the development of tau pathology. In this short chapter, we aim at reviewing the two main isolation methods, sarkosyl and formic acid extraction (and their variations), used for the biochemical isolation of insoluble tau in transgenic mouse models of tauopathy, and discuss their advantages and drawbacks.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.907
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.127
GPT teacher head0.482
Teacher spread0.355 · 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 designOther design
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

Citations38
Published2012
Admission routes2
Has abstractyes

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