Experience-Dependent Gene Expression in the Rat Hippocampus after Spatial Learning: A Comparison of the Immediate-Early GenesArc, c-fos, and zif268

By John Guzowski, B. Setlow, E. Wagner, James McGaugh. Journal of Neuroscience, 2001

723 citations recorded by the source corpus.

Neuronal immediate-early gene (IEG) expression is regulated by synaptic activity and plays an important role in the neuroplastic mechanisms critical to memory consolidation. IEGs can be divided into two functional classes: (1) regulatory transcription factors (RTFs), which can broadly influence cell function depending on the “downstream” genes they regulate, and (2) “effector” proteins, which may directly modulate specific cellular functions. The objective of the current study was to determine whether the expression of an effector IEG (Arc) was similar to, or different from, that of two well characterized RTF IEGs (c-fos andzif268) after learning. IEG RNA levels from rats trained in spatial and nonspatial water tasks were determined using RNase protection assays and in situ hybridization. Overall, the regulation of the three IEGs was similar in the hippocampus and the entorhinal and primary visual cortices. Consequently, IEG RNA levels were positively correlated within a structure. By contrast,Arc and zif268 RNA levels were not correlated or only weakly correlated across structures, although c-fos RNA levels were moderately correlated across structures. Arc RNA expression differed from that ofzif268 and c-fos in two regards: (1) hippocampal Arc RNA levels were correlated with learning of the hippocampal-dependent spatial, but not hippocampal-independent cued response, water task, and (2) Arc RNA levels in the hippocampus and entorhinal cortex increased after spatial reversal learning relative to an asymptotic performance group. Thus, although the expression of Arc, zif268, and c-fos exhibited many similarities, Arcwas most responsive to differences in behavioral task demands.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience

View Paper: https://www.semanticscholar.org/paper/498f90cc8531711f1b5656bc6e90247f25bf7fc4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

  1. Fred H. Gage
  2. Š. Kubík
  3. Teiko Miyashita
  4. A. Tashiro
  5. Hiroshi Makino
  6. John Guzowski
  7. James Bradley Aimone
  8. Wei Deng

In Cognitive Neuroscience

  1. Š. Kubík
  2. Teiko Miyashita
  3. Fred H. Gage
  4. Hiroshi Makino
  5. John Guzowski
  6. A. Tashiro
  7. James Bradley Aimone
  8. Wei Deng

In Developmental Neuroscience

  1. Fred H. Gage
  2. A. Tashiro
  3. Hiroshi Makino
  4. James Bradley Aimone
  5. Wei Deng
  6. Hongjun Song
  7. Guo-li Ming
  8. Chunmei Zhao

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