PLATA
PLATA analyzes probe-level Affymetrix exon array data to investigate 3'UTR-mediated regulation of mRNA expression.
Key Features:
- Probe-Level Analysis: Performs probe-level examination and quantification of exon-specific signals from Affymetrix exon arrays.
- Raw Data Handling: Processes raw probe-level Affymetrix exon array data for accurate downstream analysis.
- Python Implementation: Implemented as a suite of Python scripts for data processing and analytical workflows.
- Visualization: Produces visualizations for interpreting probe-level and exon-level expression patterns.
- 3'UTR and Alternative Polyadenylation Analysis: Analyzes 3'UTR dynamics and alternative polyadenylation to assess impacts on mRNA stability, localization, and translation.
Scientific Applications:
- Gene Expression Programs: Identifies conserved expression patterns such as upregulation of mRNAs terminating at upstream polyadenylation sites after cellular activation, including in primary murine CD4+ T lymphocytes.
- Proliferation Correlations: Correlates changes in 3'UTR length and exon-level expression with cellular proliferation across cell types and tissues.
- Regulatory Capacity Analysis: Assesses how full-length versus truncated 3'UTRs alter protein expression, including effects of microRNA target site inclusion within variably included regions.
Methodology:
Uses Python scripts to process raw probe-level Affymetrix exon array data; identifies changes in mRNA expression associated with alternative polyadenylation events; and evaluates how 3'UTR length variation influences mRNA stability, localization, and translation, including consideration of microRNA target sites.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Sandberg R, Neilson JR, Sarma A, Sharp PA, Burge CB. Proliferating Cells Express mRNAs with Shortened 3' Untranslated Regions and Fewer MicroRNA Target Sites. Science. 2008;320(5883):1643-1647. doi:10.1126/science.1155390. PMID:18566288. PMCID:PMC2587246.