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ChiTaRS 8.0: the comprehensive database of chimeric transcripts and RNA-seq data with applications in liquid biopsy
Dylan DSouza1, Lihi Bik2, Olawumi Giwa1
1Azrieli Faculty of Medicine, Bar Ilan University, Henrieta Szold 8, Safed, 1311502, Israel.
Nucleic Acids Research
|December 16, 2024
Summary
The ChiTaRS 8.0 database now includes over 100,000 human chimeric sequences and novel fusion transcripts identified from liquid biopsies. This resource aids in identifying gene fusions as cancer biomarkers and potential drug targets.
Area of Science:
- Genomics and Bioinformatics
- Cancer Research
- Molecular Biology
Background:
- Gene fusions, arising from replication and transcription errors, are crucial biomarkers for cancer diagnosis and therapy.
- Accurate identification of gene fusions is vital for advancing personalized cancer medicine.
- Existing databases require updates to encompass novel fusion discoveries and functional insights.
Purpose of the Study:
- To update and enhance the Chimeric Transcripts and RNA-Sequencing database (ChiTaRS 8.0) with new human chimeric transcripts and fusion data.
- To incorporate information on chimeric breakpoints from chromosome conformation capture techniques (Hi-C datasets).
- To identify novel chimeric transcripts in various cancers, including oral squamous cell carcinoma and glioblastoma, using text mining and liquid biopsy data.
Main Methods:
- Curated 47,445 RNA transcripts and over 100,000 chimeric sequences for the ChiTaRS 8.0 database.
- Integrated 1055 chimeric breakpoints from Hi-C datasets.
- Applied text mining to RNA-sequencing data from public datasets and patient blood/plasma samples to discover novel chimeras.
Main Results:
- ChiTaRS 8.0 contains over 100,000 human chimeric sequences and 1055 novel chimeric breakpoints.
- The database includes an expanded list of gene fusions with potential as drug targets.
- Novel chimeras were identified in oral squamous cell carcinoma and glioblastoma, now catalogued in ChiTaRS 8.0.
Conclusions:
- ChiTaRS 8.0 is an enhanced repository for fusion transcripts, crucial for cancer research and personalized therapy.
- The database provides valuable insights into the functional landscape of chimeras in cancers and complex diseases.
- Integration of liquid biopsy data expands the utility of ChiTaRS for identifying disease-specific chimeras.
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