Combinative Protein Expression of Immediate Early Genes c‐Fos, Arc, and Npas4 Along Aversive and Appetitive Experience‐Related Neural Networks

Expression of immediate early genes (IEGs) is critical for memory formation and has been widely used to identify the neural substrate of memory traces, termed memory engram cells. Functions of IEGs have been known to be different depending on their types. However, there is limited knowledge about the extent to which different types of IEGs are selectively or concurrently involved in the formation of memory engram. To address this question, we investigated the combinative expression of c-Fos, Arc, and Npas4 proteins using immunohistochemistry following aversive and rewarding experiences across subregions in the prefrontal cortex (PFC), basolateral amygdala (BLA), hippocampal dentate gyrus (DG), and retrosplenial cortex (RSC). Using an automated cell detection algorithm, we found that expression patterns of c-Fos, Npas4, and Arc varied across different brain areas, with a higher increase of IEG expressing cells in the PFC and posterior BLA than in the DG. The combinative expression patterns, along with their experience-induced changes, also differed across brain areas; the co-expression of IEGs increased in the PFC and BLA following experience, whereas the increase was less pronounced in the DG and RSC. Furthermore, we demonstrate that different area-to-area functional connectivity networks were extracted by different IEGs. These findings provide insights into how different IEGs and their combinations identify engram cells, which will contribute to a deeper understanding of the functional significance of IEG-tagged memory engram cells.

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Publication Details

Journal
Hippocampus
Published
2025-08-08
DOI
https://doi.org/10.1002/hipo.70030
Citations
3
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
2.42

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article

Combinative Protein Expression of Immediate Early Genes c‐Fos, Arc, and Npas4 Along Aversive and Appetitive Experience‐Related Neural Networks

Hisayuki Osanai, Takashi Kitamura, Mary Arai, Sachie K. Ogawa et al.
3 citations
Hippocampus
Machine Learning in Bioinformatics
2.42
article

Combinative Protein Expression of Immediate Early Genes c‐Fos, Arc, and Npas4 Along Aversive and Appetitive Experience‐Related Neural Networks

Hisayuki Osanai, Takashi Kitamura, Mary Arai, Sachie K. Ogawa, Chris C. Snell, Kaylea E. Gawf
article en
3 citations

Abstract

Expression of immediate early genes (IEGs) is critical for memory formation and has been widely used to identify the neural substrate of memory traces, termed memory engram cells. Functions of IEGs have been known to be different depending on their types. However, there is limited knowledge about the extent to which different types of IEGs are selectively or concurrently involved in the formation of memory engram. To address this question, we investigated the combinative expression of c-Fos, Arc, and Npas4 proteins using immunohistochemistry following aversive and rewarding experiences across subregions in the prefrontal cortex (PFC), basolateral amygdala (BLA), hippocampal dentate gyrus (DG), and retrosplenial cortex (RSC). Using an automated cell detection algorithm, we found that expression patterns of c-Fos, Npas4, and Arc varied across different brain areas, with a higher increase of IEG expressing cells in the PFC and posterior BLA than in the DG. The combinative expression patterns, along with their experience-induced changes, also differed across brain areas; the co-expression of IEGs increased in the PFC and BLA following experience, whereas the increase was less pronounced in the DG and RSC. Furthermore, we demonstrate that different area-to-area functional connectivity networks were extracted by different IEGs. These findings provide insights into how different IEGs and their combinations identify engram cells, which will contribute to a deeper understanding of the functional significance of IEG-tagged memory engram cells.

HippocampusVol. 35(5)
The University of Texas Southwestern Medical Center (US)
National Institute of Mental Health, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 11%
Machine Learning in Bioinformatics
2.42
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