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Record W4412567099 · doi:10.1101/2025.07.18.665534

The CPEB ortholog Orb2 regulates brain size through the TRIM-NHL RNA-binding protein, Brain tumor

2025· preprint· en· W4412567099 on OpenAlexaff
Taylor Hailstock, Joseph Buehler, Beverly V. Robinson, Timothy C.H. Low, Y Hua, Temitope H. Adebambo, Jack Govaerts, Todd A. Schoborg, Howard D. Lipshitz, Dorothy A. Lerit

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiologyRegulatorNeurogenesisMicrocephalyRepressorNeuroscienceRNA-binding proteinNeural stem cellTranslational regulationBrain sizeCell biologyRNAGeneticsStem cellTranslation (biology)Messenger RNAMedicineTranscription factorGene

Abstract

fetched live from OpenAlex

ABSTRACT Neurodevelopment requires precise translational control, the disruption of which is implicated in various neurological disorders, including developmental delays, intellectual disability, and microcephaly. We report a novel role for the Drosophila CPEB-family protein Orb2, a translational regulator, in controlling brain size in a dose dependent manner. Loss of orb2 results in larval brain hypotrophy, whereas orb2 overexpression causes brain overgrowth. We demonstrate that orb2 is required for neural stem cell development from embryonic stages through larval neurogenesis. Structure-function analysis reveals that Orb2 RNA-binding activity promotes brain growth, while its poly-Q and ZZ domains act to restrain overgrowth. Further genetic and biochemical evidence indicates that orb2 functions upstream of the translational repressor Brain tumor (Brat), modulating Brat protein levels and, consequently, influencing brain size. These findings support a model wherein the antagonistic activities of Orb2 and Brat are critical for balanced brain growth during Drosophila neurodevelopment.

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 score0.001
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 head0.251
Teacher spread0.240 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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