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The molecular mechanisms that enable memories to persist over long time-scales from days to weeks and months are still poorly understood. To develop insights we created a behavioral task where, by varying the frequency of learned associations, mice formed multiple memories but only consolidated some, while forgetting others, over the span of weeks. We then monitored circuit-specific molecular programs that diverge between consolidated and forgotten memories. We identified multiple distinct waves of transcription, i.e., cellular macrostates, specifically in the thalamo-cortical circuit, that defined memory persistence. Notably, a small set of transcriptional regulators orchestrated broad molecular programs that enabled entry into these macrostates. Targeted CRISPR-knockout studies revealed that while these transcriptional regulators had no effects on memory formation, they had prominent, causal, and strikingly time-dependent roles in memory stabilization. In particular, the calmodulin-dependent transcription factor Camta1 was required for initial memory maintenance over days, while Tcf4 and the histone methyl-transferase Ash1l were required later to maintain memory over weeks. These results identify a critical Camta1-Tcf4-Ash1l thalamo-cortical transcriptional cascade required for memory stabilization, and puts forth a model where the sequential, multi-step, recruitment of circuit-specific transcriptional programs enable memory maintenance over progressively longer time-scales.
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http://dx.doi.org/10.1101/2025.05.28.656415 | DOI Listing |
Math Biosci
September 2025
Department of Mathematics, Western University, London, Ontario, N6A 5B7, Canada. Electronic address:
Pine wilt disease (PWD) is mainly spread by Monochamus alternatus (in short, M. alternatus). Woodpecker, as the natural predator of M.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
Epilepsy, a highly individualized neurological disorder, affects millions globally. Electroencephalography (EEG) remains the cornerstone for seizure diagnosis, yet manual interpretation is labor-intensive and often unreliable due to the complexity of multi-channel, high-dimensional data. Traditional machine learning models often struggle with overfitting and fail in fully capturing the highdimensional, temporal dynamics of EEG signals, restricting their clinical utility.
View Article and Find Full Text PDFmBio
September 2025
Department of Microbiology, Oregon State University, Corvallis, Oregon, USA.
Quorum sensing (QS) is a widespread signaling mechanism in bacteria that coordinates collective behaviors according to population density. A foundational assumption in this field is that QS functions as a gene expression switch that synchronizes responses at the population level. While some studies indeed report homogeneous on/off transitions, others report heterogeneity at the cellular level, challenging the canonical view.
View Article and Find Full Text PDFFront Psychol
August 2025
Department of Neurology, Medical University of Graz, Graz, Austria.
Background: Cognitive impairment and psychological complaints are among the most common consequences for patients suffering from Post-Covid-19 condition (PCC). As there are limited training options available, this study examined a longitudinal tablet-based training program addressing cognitive and psychological symptoms.
Methods: Forty individuals aged between 36 and 71 years ( = 49.
Environ Epigenet
May 2025
Université Grenoble Alpes, INSERM U1209, CNRS UMR 5309, Institut pour l'Avancée des Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health, 38000 Grenoble, France.
An increasing number of epigenome-wide association studies report tobacco smoking-associated DNA methylation levels. However, comprehensive replication studies remain scarce, particularly in placenta, despite their crucial interest in such a large-scale context. Using DNA methylation data from the EPIC array of 341 new placentas (85 smokers, 219 non-smokers, and 37 former smokers) from the EDEN cohort, we used a candidate approach to replicate maternal smoking-associated CpGs and regions previously identified using the 450K array, and an exploratory approach to discover new associations within EPIC-specific CpGs.
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