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Biology subjects

Robles, A. D.

Publications and source records attributed to Robles, A. D..

2 recordsLinked to original sources

HDAC3 inhibitor RGFP966 acts on the NF-kB pathway and enhances memory persistence in a biphasic manner

Nearly five decades ago, it was first observed that long-term memory consolidation requires waves of transcriptional activity and protein synthesis, with the first two waves occurring within hours after learning. While numerous studies have examined the effects of protein synthesis inhibitors, how specific epigenetic regulators contribute to these waves remains poorly understood. Here, we aimed to determine whether HDAC3, a key modulator of memory, is involved in memory consolidation at these two time points through its potential relationship with the transcription factor NF-kB, one of its deacetylation targets and a critical player in memory formation. Pharmacological inhibition of HDAC3 with RGFP966, either immediately or 6 hours after training, enhanced memory persistence in the NOR task in mice. Conversely, inhibition of NF-kB with BAY 11-7082 impaired memory at the same time points. Moreover, RGFP966 injection increased the nuclear proportion of NF-{kappa}B in the CA1 region of the hippocampus, suggesting that HDAC3 inhibition is associated with changes in NF-kB nuclear localization. To our knowledge, this study provides the first in vivo evidence that HDAC3 inhibition is associated with altered NF-kB localization during memory consolidation, extending previous observations from cell culture and electrophysiological studies in brain slices. Although these findings support a functional association between HDAC3 inhibition and NF-kB signaling during consolidation, further experiments will be required to determine whether this relationship is mechanistically causal.

neuroscience↗

RAINSTORM: Automated Behavioral Analysis for Mice Exploratory Behavior Using Artificial Neural Networks.

Rodent exploratory behavior is widely used for assessing cognitive function. RAINSTORM -- Real and Artificial Intelligence for Neuroscience - Simple Tracker for Object Recognition Memory -- is a versatile tool designed to streamline the analysis of such behaviors in rodents. This pipeline integrates manual behavioral scoring, geometric analysis, and artificial intelligence (AI)-powered behavioral labeling, offering reproducible, scalable, and efficient evaluation methods. RAINSTORM processes raw positional data and automates the identification of exploratory behaviors, providing insights into memory performance. This tool is designed to learn from the labeling criteria of one or more experimenters by capturing the different aspects of expert opinion and reducing subjective bias in subsequent scoring procedures. The experimenter can go from unprocessed pose estimation data (obtained through open source software such as DeepLabCut) to accurate exploration patterns in a matter of minutes. By optimizing the analysis process, RAINSTORM significantly enhances the reliability and efficiency of behavioral research. RAINSTORM has become a robust methodology for assessing recognition memory in rodents by accurately quantifying exploration times for familiar and novel objects. It has since been extended to include (but not limited to) a wider range of exploratory behaviors. The software is readily applicable to other experimental designs that rely on quantifying exploration in mice, such as Social Preference and Object Pattern Separation, among others.

animal behavior and cognition↗