GCSscore

GCSscore analyzes probe-level intensities from Affymetrix/Thermo Fisher whole transcriptome microarrays, including ClariomD/XTA and ClariomS, to detect differential gene and exon expression while accounting for non-specific binding.


Key Features:

  • Probe-Level Analysis: Uses direct probe-level intensities instead of summarizing probes into a single expression value for each transcript.
  • GCSscore Algorithm: Estimates non-specific binding using GC-content of oligonucleotide probes and antigenomic background probes to refine signal estimates.
  • Gene-Level and Exon-Level Grouping: Provides methods to group individual probes on ClariomD/XTA chips for differential expression analysis at gene and exon resolution.
  • Compatibility with Modern Arrays: Optimized for modern oligonucleotide whole transcriptome arrays, specifically Affymetrix/Thermo Fisher ClariomD/XTA and ClariomS platforms.
  • Stringent Statistical Criteria: Applies stringent statistical criteria to detect differentially expressed genes (DEGs) from probe-level measurements.
  • Multiple-Oligonucleotide Leverage: Leverages the statistical power inherent in multiple oligonucleotides representing each gene or exon.
  • Comparative Sensitivity: Identifies larger sets of DEGs and associated biological functions compared with summary-based approaches.

Scientific Applications:

  • Transcriptome Differential Expression: Detection of differentially expressed genes and exons from Affymetrix/Thermo Fisher whole transcriptome microarrays.
  • Gene- and Exon-Level Profiling: Detailed expression profiling at both gene and exon resolution for studies of alternative splicing or isoform-specific regulation.
  • Analysis of Complex Arrays: Sensitive analysis of complex designs such as ClariomD/XTA arrays for comprehensive transcriptome studies.
  • Biological Function Discovery: Improved identification of DEGs to support downstream functional and pathway analyses.

Methodology:

Builds on the Sscore methodology, uses probe-level intensities, estimates non-specific binding via GC-content and antigenomic background probes, groups probes for gene- and exon-level analyses, and applies stringent statistical criteria for DEG detection.

Topics

Details

License:
GPL-3.0
Tool Type:
library
Programming Languages:
R
Added:
3/19/2021
Last Updated:
3/26/2021

Operations

Publications

Harris GM, Abbas S, Miles MF. GCSscore: an R package for differential gene expression analysis in Affymetrix/Thermo-Fisher whole transcriptome microarrays. BMC Genomics. 2021;22(1). doi:10.1186/s12864-021-07370-2. PMID:33522903. PMCID:PMC7848880.

PMID: 33522903
PMCID: PMC7848880
Funding: - National Institute on Alcohol Abuse and Alcoholism: F30AA025535, P50AA022537

Links