SomaMutDB
SomaMutDB catalogs somatic single nucleotide variations (SNVs) and small insertions and deletions (INDELs) across human tissues to support analysis of mutation accumulation in aging and age-related pathologies.
Key Features:
- Extensive Mutation Catalog: Contains 2.42 million SNVs and 0.12 million INDELs identified across nineteen human tissues and cell types, with functional annotations of mutations.
- Sequencing Technologies: Mutations were detected using single-cell sequencing, clonal lineage analysis, and ultra-high-depth sequencing of small tissue biopsies.
- Age and Environmental Context: Provides data on how somatic mutation frequencies and spectra vary with age and under different environmental stress conditions.
- Mutational Signature Analysis Tools: Includes six analytical tools for analyzing mutational signatures associated with the cataloged data.
Scientific Applications:
- Aging Research: Supports studies of somatic mutation accumulation dynamics in normal human tissues over time.
- Age-Related Disease and Cancer Research: Enables investigation of the roles of somatic mutations in age-related diseases, including cancer.
- Environmental and Causal Studies: Facilitates analysis of relationships between environmental stressors and mutation spectra and exploration of potential causal links between somatic mutations and age-associated conditions.
Methodology:
Mutation detection was performed using single-cell sequencing, clonal lineage analysis, and ultra-high-depth sequencing of small tissue biopsies, and mutational signature analysis was conducted with six analytical tools.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 3/25/2022
- Last Updated:
- 3/25/2022
Operations
Publications
Sun S, Wang Y, Maslov AY, Dong X, Vijg J. SomaMutDB: a database of somatic mutations in normal human tissues. Nucleic Acids Research. 2021;50(D1):D1100-D1108. doi:10.1093/nar/gkab914. PMID:34634815. PMCID:PMC8728264.
DOI: 10.1093/NAR/GKAB914
PMID: 34634815
PMCID: PMC8728264
Funding: - National Institutes of Health: P01 AG017242, P01 AG047200, P30 AG038072, R00 AG056656, U01 ES029519, U19 AG056278
- NIH: 5P01AG017242-26