MétaCan
Menu
← Back to cohort
Record W2288592039

Overexpressing Fragments of CREB-Binding Protein (CBP) to Block Transcriptional Dysregulation and Toxicity in Huntington's Disease

2012· article· en· W2288592039 on OpenAlexvenueno aff
Gregory Hosier

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsCREBToxicityDiseaseHuntington's diseaseCell biologyBiologyNeuroscienceGeneticsChemistryTranscription factorGeneMedicineInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Huntington’s disease (HD) is caused by expression of the huntingtin gene containing an expanded CAG repeat. N-terminal mutant huntingtin protein (N-mHtt) accumulates in the nucleus and impairs transcription of a subset of genes through incorporation into transcriptional complexes or sequestration of proteins away from the promoter. CREB-binding protein (CBP) is a transcriptional co-activator and acetyltransferase (AT) that binds to N-mHtt. We hypothesized that overexpressing CBP fragments that lack a promoter association domain would block N-mHtt-mediated transcriptional dysregulation and toxicity. We found that overexpressing full-length CBP or CBP fragments did not reverse transcriptional dysregulation, but did decrease toxicity in a cell model of HD. Overexpressing fragments of CBP containing the AT domain increased toxicity in wild-type cells, while overexpressing a fragment lacking this domain had no effect. We conclude that excess AT activity was detrimental in wild-type cells, while overexpressing CBP or CBP fragments was protective in HD cells.

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 score0.009
Threshold uncertainty score0.018

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 integrity0.0000.001
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 head0.009
GPT teacher head0.176
Teacher spread0.167 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicGenetic Neurodegenerative Diseases→French-language works237,207→