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
Expression data rendering
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.
PMID: 12737936