ImSpectR
ImSpectR quantifies immune repertoire diversity by scoring deviations in CDR3 length distributions derived from spectratype, bulk repertoire sequencing, and single-cell RNA sequencing to provide objective measures for quantitative immunological analyses.
Key Features:
- Unified Approach: Analyzes multiple data types including spectratype, repertoire sequencing, and single-cell RNA sequencing within a unified framework.
- Quantitative Analysis: Scores deviations from expected length distributions of rearranged T- and B-cell receptors (CDR3) and integrates different deviation types into a single numerical measure for comparative analyses.
- Reduction of Subjectivity: Replaces visual inspection with objective, standardized scoring to reduce subjective bias in diversity assessment.
Scientific Applications:
- Clinical Diagnostics: Assisting diagnosis of primary immune deficiencies by providing quantitative measures of repertoire diversity.
- Prognostic Evaluations: Informing disease prognosis through analysis of immune repertoire variability.
- Therapeutic Monitoring: Monitoring patient responses to therapies via quantitative changes in repertoire diversity.
Methodology:
Quantifies CDR3 length distributions from T-cell receptor (TCR) sequencing and spectratype data, scores deviations from expected length distributions of rearranged T- and B-cell receptors, integrates deviation types into a single measure, and has been demonstrated on human TCR sequencing data from the ImmunoSeq platform and on CDR3 data from CMV+ PBMCs (Suessmuth et al.).
Topics
Details
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 1/9/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Cordes M, Pike-Overzet K, van Eggermond M, Vloemans S, Baert MR, Garcia-Perez L, Staal FJT, Reinders MJT, van den Akker EB. ImSpectR: R package to quantify immune repertoire diversity in spectratype and repertoire sequencing data. Bioinformatics. 2019;36(6):1930-1932. doi:10.1093/bioinformatics/btz804. PMID:31665245. PMCID:PMC7703782.