ArticleNucleic acids research2018
SBCDDB: Sleeping Beauty Cancer Driver Database for gene discovery in mouse models of human cancers.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Identifying new cancer genes based on the integration of annotated gene sets via hypergraph neural networks.Bioinformatics (Oxford, England) · 2024Article
- RBFOX2 deregulation promotes pancreatic cancer progression and metastasis through alternative splicing.Nature communications · 2023Article
- Transmicron: accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens.Nucleic acids research · 2023Article
- Review
- Genomic patterns of transcription-replication interactions in mouse primary B cells.Nucleic acids research · 2022Article
- Single allele loss-of-function mutations select and sculpt conditional cooperative networks in breast cancer.Nature communications · 2021Article
- Transposon mutagenesis identifies cooperating genetic drivers during keratinocyte transformation and cutaneous squamous cell carcinoma progression.PLoS genetics · 2021Article
- Identification of cancer driver genes using Sleeping Beauty transposon mutagenesis.Cancer science · 2021Review
- Promoterless Transposon Mutagenesis Drives Solid Cancers via Tumor Suppressor Inactivation.Cancers · 2021Article
- OncoVar: an integrated database and analysis platform for oncogenic driver variants in cancers.Nucleic acids research · 2021Article
- DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features.Science advances · 2020Article
- In vivo functional screening for systems-level integrative cancer genomics.Nature reviews. Cancer · 2020Review
- Rationale and Roadmap for Developing Panels of Hotspot Cancer Driver Gene Mutations as Biomarkers of Cancer Risk.Environmental and molecular mutagenesis · 2020Review
- MRTFB suppresses colorectal cancer development through regulating SPDL1 and MCAM.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Insertional mutagenesis using the Sleeping Beauty transposon system identifies drivers of erythroleukemia in mice.Scientific reports · 2019Article
- Sleeping Beauty Mouse Models of Cancer: Microenvironmental Influences on Cancer Genetics.Frontiers in oncology · 2019Review
- Transposon mutagenesis screen in mice identifies TM9SF2 as a novel colorectal cancer oncogene.Scientific reports · 2018Article
- SB Driver Analysis: a Sleeping Beauty cancer driver analysis framework for identifying and prioritizing experimentally actionable oncogenes and tumor suppressors.Nucleic acids research · 2018Article
- Mouse models in the era of large human tumour sequencing studies.Open biology · 2018Review
- Advances in functional genetic screening with transposons and CRISPR/Cas9 to illuminate cancer biology.Current opinion in genetics & development · 2018Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Large-scale oncogenomic studies have identified few frequently mutated cancer drivers and hundreds of infrequently mutated drivers. Defining the biological context for rare driving events is fundamentally important to increasing our understanding of the druggable pathways in cancer. Sleeping Beauty (SB) insertional mutagenesis is a powerful gene discovery tool used to model human cancers in mice. Our lab and others have published a number of studies that identify cancer drivers from these models using various statistical and computational approaches. Here, we have integrated SB data from primary tumor models into an analysis and reporting framework, the Sleeping Beauty Cancer Driver DataBase (SBCDDB, http://sbcddb.moffitt.org), which identifies drivers in individual tumors or tumor populations. Unique to this effort, the SBCDDB utilizes a single, scalable, statistical analysis method that enables data to be grouped by different biological properties. This allows for SB drivers to be evaluated (and re-evaluated) under different contexts. The SBCDDB provides visual representations highlighting the spatial attributes of transposon mutagenesis and couples this functionality with analysis of gene sets, enabling users to interrogate relationships between drivers. The SBCDDB is a powerful resource for comparative oncogenomic analyses with human cancer genomics datasets for driver prioritization.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.