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Record W4413486750 · doi:10.1101/2025.08.24.671976

The SWI/SNF complex sub-unit Bap60 is required for training-induced gene transcription during long-term memory formation

2025· preprint· en· W4413486750 on OpenAlexafffund
Spencer Jones, Nicholas Raun, Shanyn C Bleeker, Jamie M. Kramer

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsTerm (time)Cell biologyTranscription (linguistics)Unit (ring theory)Transcription factorGeneChemistryBiologyNeuroscienceComputational biologyGeneticsPsychologyPhysics

Abstract

fetched live from OpenAlex

Abstract Long-term memory (LTM) formation requires tightly regulated gene expression in response to neuronal activity. Chromatin remodeling is thought to play a role in enabling this transcriptional response, but the specific mechanisms remain unclear. In Drosophila , a transcriptional trace of courtship LTM training can be observed in the mushroom body (MB) during the memory consolidation phase after the end of training. Here, we investigated the role of Bap60, a core subunit of the Drosophila SWI/SNF chromatin remodeling complex, in the transcriptional trace of memory consolidation. Adult-specific knockdown of Bap60 in the MB selectively impaired LTM with short-term memory (STM) left intact. Transcriptome analysis of Bap60 knockdown MBs following courtship LTM training revealed near complete disruption of LTM training induced transcription in the MB. MB-specific CUT&RUN was used to map SWI/SNF binding sites and identify over 100 candidate direct Bap60-dependent training induced genes. Bap60 was not required for training induced activation of immediate early genes (IEGs), Hr38 and Sr, which are transcription factors that are critical for courtship LTM. This suggests that Bap60 may regulate LTM gene induction downstream of IEGs. Interestingly, we identified Sr binding sites at 30% of Bap60-dependent training induced genes. Many of these target genes were transcription factors, including Prospero (Pros), which we show is also required in the MB for LTM but not STM. Interestingly, Pros is induced in a subset of MB nuclei, suggesting Bap60 is involved in cell specific LTM training induced gene activation. Together, these findings reveal a critical role for Bap60, a core SWI/SNF subunit, as a key regulator of LTM training-induced transcription downstream of IEGs. Significance Statement Autosomal dominant mutations in SWI/SNF subunits are a leading cause of neurodevelopmental disorders (NDDs) including Autism and Intellectual Disability. Therefore, understanding their role in brain function can provide insight into the mechanisms underlying human disease. The SWI/SNF complex is an important chromatin remodeling complex that is conserved from yeast to mammals. This large protein complex is a transcriptional coactivator that uses energy from ATP to open up chromatin and create binding sites for transcription factors. Our knowledge about how SWI/SNF functions in different cell types of the brain is highly limited. In this study we investigate the Bap60 component of SWI/SNF in memory neurons of the fruit fly, Drosophila melanogaster . We find that Bap60 is required for activation of gene expression programs underlying long term memory consolidation. Dynamic gene expression, like that associated with LTM, is essential to build neural circuits during human cognitive development. It is therefore possible that this process is disrupted in people with SWI/SNF-related NDDs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.042
GPT teacher head0.266
Teacher spread0.224 · 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.

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
Published2025
Admission routes2
Has abstractyes

Explore more

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