SelTarbase

SelTarbase provides a curated database of mononucleotide repeat (MNR) mutation data and analytical resources to study microsatellite instability (MSI) in human tumors, particularly MSI-H, for identifying recurrent mutation targets and assessing functional and immunogenic consequences.

Key Features:

• Curated Mutation Data: Compiles public mononucleotide repeat tract (MNR) mutation data from microsatellite unstable human tumors.
• Statistical Analysis and Predictions: Performs regression calculations to identify statistically deviant mutation frequencies across MSI-H tumor types and predict genes potentially involved in MSI tumorigenesis (e.g., TGFBR2, BAX, ACVR2A).
• Functional Impact Insights: Reports how coding MNR mutations can cause protein truncation and neopeptide formation, and how untranslated MNR alterations may affect transcription levels or transcript stability.
• Immunogenic Peptides: Documents frameshift-derived immunogenic peptides generated by MNR frameshifts and their relevance to microsatellite unstable cells.
• Integrated Analytical Tools: Provides tools to analyze genomic DNA and derived wild-type and mutated cDNAs and peptides.
• Comprehensive MNR Database: Includes MNR_ensembl cataloging human coding, untranslated, non-coding RNA, and intronic MNRs.

Scientific Applications:

• MSI-carcinogenesis research: Enables analysis of recurrent MNR mutations to study mechanisms of MSI-driven tumor development.
• Candidate gene identification: Supports identification and prioritization of genes with deviant mutation frequencies implicated in MSI tumorigenesis.
• Neoantigen discovery: Facilitates identification of frameshift-derived neopeptides for immunogenicity and biomarker studies.
• Transcriptional and translational impact assessment: Assists in evaluating how MNR mutations in coding and untranslated regions affect gene expression and protein products.
• Diagnostic and therapeutic target support: Provides mutation frequency and functional-impact data to inform diagnostic marker and therapeutic target selection.

Methodology:

Curated compilation of public MNR mutation data, regression calculations to detect statistically deviant mutation frequencies across MSI-H tumor types, integrated tools for analysis of genomic DNA and derived wild-type and mutated cDNAs and peptides, and construction of the MNR_ensembl catalog of coding, untranslated, non-coding RNA, and intronic MNRs.