rapier

rapier identifies gene expression changes associated with learning and memory in hippocampal subregions by analyzing cDNA microarray data with statistical comparisons.


Key Features:

  • Statistical Analysis: Performs paired-array statistical comparisons including t-tests to detect genes with significant expression changes.
  • cDNA Microarray Analysis: Enables high-throughput examination of gene expression across thousands of probes using cDNA microarrays.
  • Subregion Specificity: Resolves spatial learning-induced expression changes within hippocampal subregions, including dentate gyrus, CA1, and CA3.
  • Laser-Capture Microdissection (LCM) Integration: Incorporates LCM to enrich neuronal populations from specific hippocampal subregions prior to analysis.
  • Validation Techniques: Supports confirmation of microarray findings using Northern blotting, in situ hybridization, and real-time PCR.
  • Reported Genes: Documents differential expression for genes such as prothymosin(alpha) and delta-1 opioid receptor (DOR1).

Scientific Applications:

  • Synaptic Plasticity: Identifies genes and pathways involved in synaptic strengthening and mechanisms underlying long-term potentiation.
  • Neuroplasticity: Maps subregion-specific neuroplastic changes in the hippocampus associated with spatial learning.

Methodology:

cDNA microarray data are analyzed by paired-array statistical comparisons using t-tests to identify significant gene expression changes.

Topics

Details

Maturity:
Legacy
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R, Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Robles Y, Vivas-Mejı́a PE, Ortiz-Zuazaga HG, Félix J, Ramos X, Peña de Ortiz S. Hippocampal gene expression profiling in spatial discrimination learning. Neurobiology of Learning and Memory. 2003;80(1):80-95. doi:10.1016/s1074-7427(03)00025-x. PMID:12737936.

Documentation

Links