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SomamiR: a database for somatic mutations impacting microRNA function in cancer
Anindya Bhattacharya1, Jesse D Ziebarth, Yan Cui
1Department of Microbiology, The University of Tennessee Health Science Center, 858 Madison Avenue, Memphis, TN 38163, USA.
Abstract:
Whole-genome sequencing of cancers has begun to identify thousands of somatic mutations that distinguish the genomes of normal tissues from cancers. While many germline mutations within microRNAs (miRNAs) and their targets have been shown to alter miRNA function in cancers and have been associated with cancer risk, the impact of somatic mutations on miRNA function has received relatively little attention. Here, we have created the SomamiR database (http://compbio.uthsc.edu/SomamiR/) to provide a comprehensive resource that integrates several types of data for use in investigating the impact of somatic and germline mutations on miRNA function in cancer. The database contains somatic mutations that may create or disrupt miRNA target sites and integrates these somatic mutations with germline mutations within the same target sites, genome-wide and candidate gene association studies of cancer and functional annotations that link genes containing mutations with cancer. Additionally, the database contains a collection of germline and somatic mutations in miRNAs and their targets that have been experimentally shown to impact miRNA function and have been associated with cancer.
Insights
Somatic mutations in cancer can alter microRNA (miRNA) function by affecting their targets. The SomamiR database integrates mutation data to study these impacts on cancer development.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Whole-genome sequencing reveals numerous somatic mutations distinguishing cancer from normal tissues.
- Germline mutations in microRNAs (miRNAs) and their targets are known to affect cancer risk and miRNA function.
- The impact of somatic mutations on miRNA function in cancer remains understudied.
Purpose of the Study:
- To create a comprehensive resource for investigating the impact of somatic and germline mutations on miRNA function in cancer.
- To integrate diverse datasets for analyzing mutation-driven alterations in miRNA activity.
Main Methods:
- Developed the SomamiR database (http://compbio.uthsc.edu/SomamiR/).
- Integrated somatic mutations affecting miRNA target sites with germline mutations.
- Incorporated genome-wide and candidate gene association studies, and functional cancer annotations.
Main Results:
- The SomamiR database houses somatic mutations that may create or disrupt miRNA target sites.
- It links somatic and germline mutations within the same target sites.
- Includes experimentally validated mutations in miRNAs and targets impacting function and cancer association.
Conclusions:
- The SomamiR database provides a valuable resource for exploring the role of somatic mutations in miRNA function and cancer.
- Facilitates research into how mutations in miRNAs and their targets contribute to cancer development.
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