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Record W4317691712 · doi:10.5539/jmbr.v12n1p1

Cytosol-Exposed Lysine Residues Affect the Cytosol-Membrane Distribution and Serine-129 Phosphorylation of Alpha-Synuclein

2023· article· en· W4317691712 on OpenAlexvenueno aff
Shiqing Lu

Bibliographic record

VenueJournal of Molecular Biology Research · 2023
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCytosolAlpha-synucleinSerineBiochemistryLysineBiologyPhosphorylationMutantSynucleinopathiesPalmitoylationCell biologyAmino acidCysteineParkinson's diseaseEnzymeInternal medicineMedicine

Abstract

fetched live from OpenAlex

Familial Parkinson’s disease and other neurodegenerative diseases known as synucleinopathies are strongly associated with α-Synuclein (αS) missense mutations. One of these mutations, E46K, had been hypothesized to increase the electrostatic attraction of αS to neuronal vesicle membranes due to positively charged lysine that attracts negatively charged phospholipid head groups. Here, we confirm the biochemical mechanism of E46K through four compound mutants, each with three replacements with lysine on a cytosol-exposed position of the αS alpha helix. We show that the cytosolic αS to membrane-bound αS ratios are significantly lower, and that the phosphorylation rates of serine-129-a pathological marker-are pronouncedly higher for the mutants than for wild type. This experiment addresses the previous knowledge gap in the understanding of basic amino acid replacements in cytosol-exposed positions of αS. Importantly, the validated effect of cytosol-exposed lysine residues has implications for exploring the mechanism of pathogenesis of αS mutants in familial Parkinson’s disease.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.155
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.043
GPT teacher head0.370
Teacher spread0.326 · 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
Published2023
Admission routes1
Has abstractyes

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