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Record W7132986834

The Clustered Protocadherins in the Form and Function of Cerebellar Purkinje Cells

2022· dissertation· W7132986834 on OpenAlexaff
Julie Marocha

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicWnt/β-catenin signaling in development and cancer
Canadian institutionsAmgen (Canada)
FundersStrong
KeywordsDendrite (mathematics)CerebellumPurkinje cellFilopodiaMutantFunction (biology)NeocortexLoss function
DOInot available

Abstract

fetched live from OpenAlex

The cerebellum is a brain region that regulates the control of movement. It also participates in non-motor functions, such as social and repetitive behaviours. At the heart of the cerebellar circuitry are the Purkinje cells (PCs). These neurons provide the sole exit of neural information from the cerebellar cortex. PCs possess distinguishing features: 1) their exuberant dendrites are uniformly distributed with minimal self-overlap through a process called dendrite self-avoidance; 2) they fire intrinsically at regular and high-frequency intervals even without synaptic input. PCs prominently express the clustered Protocadherins (cPCDHS), a group of cell surface recognition molecules. They are encoded by 58 genes, divided into three clusters: α-Pcdh (Pcdha), β-Pcdh (Pcdhb), and γ-Pcdh (Pcdhg). Previously, we showed that PCDHGs regulate PC dendrite self-avoidance (Lefebvre et al., 2012). However, the roles of the other clusters in PC self-avoidance and overall, the cPCDHs’ roles in PC function have not been elucidated. Here, I investigated the functional interactions between the Pcdha and Pcdhg clusters in PC dendrite self-avoidance, as well as their roles in PC firing and behavioural output. My PC self-avoidance analysis demonstrated that the loss of Pcdhas leads to defects of similar severity to loss of Pcdhgs, suggesting that both clusters are equally required. Dendrite self-crossing defects were exacerbated in Pcdha; Pcdhg double mutant PCs compared to single mutants, revealing partial redundancy. Developmental PCs lacking Pcdhgs displayed increased dendrite density and malformed filopodia, suggesting deficits in filopodia retraction lead to self-avoidance defects. The cPcdhs also influenced PC functions. Mouse mutants harboring a PC-specific deletion of Pcdhgs, with or without an additional global Pcdha heterozygous deletion, displayed motor impairments on the rotarod and in their gait. Non-motor functions were spared. Motor deficits were accompanied by dysfunctional PC firing properties. Mutant PCs exhibited lower intrinsic firing rates and excitability with elevated potassium currents, possibly resulting from Kv3.3 channel disinhibition. In CHO cells, a PCDHG isoform physically interacted with Kv3.3 channels, revealing a potential mechanism for cPCDH inhibition of Kv3.3 channels. My work is the first to show that the cPCDH clusters cooperate in PC dendrite self-avoidance, and that the cPCDHs can regulate the firing properties of a neuron, as well as PC-specific behavioural output.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.288
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), 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 routes1
Has abstractyes

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