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Record W4362575672 · doi:10.22215/etd/2023-15444

Assessing the Beclin-1 Knockout: Autophagy, Neurogenesis, and the TUNL Task

2023· dissertation· en· W4362575672 on OpenAlexafffund
Jacob Bornheimer

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsCarleton University
FundersUniversity of Ottawa
KeywordsNeurogenesisDentate gyrusHippocampal formationNeuroscienceTask (project management)Knockout mouseHippocampusAutophagyBiologyPsychologyGeneticsEngineering

Abstract

fetched live from OpenAlex

Autophagy is the intracellular process of isolating, enveloping, and recycling cell matter.Beclin-1 is a protein that acts as a lynchpin in the autophagic process.Animals lacking Beclin-1 are embryonically lethal, and knockout of Beclin-1 causes a reduction in adult hippocampal neurogenesis.The dentate gyrus (DG) is normally home to ongoing neurogenesis, which is thought to mediate pattern separation and memory encoding.First, I test a new protocol for the TUNL task.To assess whether a behavioural phenotype of Beclin-1 nKO is apparent, on the second experiment I compare TUNL performance between WT and KO mice.The new protocol for the TUNL task produces a reliable measure of pattern separation.Beclin-1 nKO reduced DG neurogenesis by 40% compared to WT.No difference between the WT and KO mice in TUNL task performance (pattern separation ability) was found but KO mice had lower activity in the CA1 during the task.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.047
GPT teacher head0.325
Teacher spread0.278 · 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
Published2023
Admission routes2
Has abstractyes

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