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Updated: Jun 13, 2025

Immunohistochemical Visualization of Hippocampal Neuron Activity After Spatial Learning in a Mouse Model of Neurodevelopmental Disorders
Published on: May 12, 2015
Persistently increased expression of PKMzeta and unbiased gene expression profiles identify hippocampal molecular
Jiyeon Han1, Alejandro Grau-Perales2, Rayna M Harris3
1Center for Neural Science, New York University, New York, NY 10003, United States; Center for Soft Matter Physics, Department of Physics, New York University, New York, NY 10003, United States.
Abstract:
Long-term memory formation transiently activates Ca2+-calmodulin kinase IIα and atypical protein kinase C isoform iota/lambda, whereas persistent activation of the other atypical PKC, protein kinase M zeta (PKMζ), together with its interacting partner, the scaffolding-protein KIBRA (Wwc1), are necessary for maintaining potentiated synapses and memory. Here, we use immediate-early gene (IEG) Arc activation during active place avoidance memory expression to tag memory-activated neurons with EYFP-ChR2. PKMζ immunohistochemistry identified which hippocampal synaptic pathways are persistently altered. EYFP-PKMζ colocalization persistently increases in the hippocampal trisynaptic pathway (dentate gyrus [DG]→CA3→CA1) tracing a one-month-old PKMζ engram. DG, CA3, and CA1 transcriptional profiling identifies that memory persistence correlates with upregulated immediate-early-genes Arc, Fos, and NPas4 in DG, but not with PKMζ or most genes known to be crucial for LTP and memory. This rules out strong memory-related transcriptional regulation, but not regulation of mRNA translation or altered stability of "shadow proteins" like PKMζ that, despite being crucial for memory maintenance, evade detection by unbiased transcriptome profiling. In contrast, our method Correlation Signal Co-cluster Reduction (C-SCoRe) incorporates weak linear and non-linear gene correlations and highlights network interaction changes predicting memory, and related IEG and Prkcz/Wwc1 expression. Manifold transcriptional relationships can reveal shadow molecular components of long-term memory.

