Personalized diagnosis of medulloblastoma subtypes across patients and model systems.
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Summary
The developed Medullo-Model To Subtype (MM2S) classifier stratifies single MB gene expression profiles without reference samples or replicates and facilitates subtype predictions of patient samples, and model systems including cell lines and mouse models.
- Type
- article
- Published
- 2015-08-01
- Cited by
- 13
- References
- 28
- Access
- Open access
- OpenAlex
- https://openalex.org/W248124385
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2384569
Keywords
Biology, Medulloblastoma, Computational biology, Genetics, Bioinformatics
References
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- Rapid diagnosis of medulloblastoma molecular subgroups
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- A novel somatic mouse model to survey tumorigenic potential applied to the Hedgehog pathway.
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
- Comparison of the predicted and observed secondary structure of T4 phage lysozyme.
- Summaries of Affymetrix GeneChip probe level data.
- Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas
- Genomics identifies medulloblastoma subgroups that are enriched for specific genetic alterations.
- Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1
- Molecular subgroups of medulloblastoma: the current consensus
- Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data
- A procedure to statistically evaluate agreement of differential expression for cross-species genomics
- Genomic and transcriptomic analyses match medulloblastoma mouse models to their human counterparts
- Integrated Genomics Identifies Five Medulloblastoma Subtypes with Distinct Genetic Profiles, Pathway Signatures and Clinicopathological Features
Cited by
- MM2S: personalized diagnosis of medulloblastoma patients and model systems
- In vitro models of medulloblastoma: Choosing the right tool for the job.
- Experimental models of pediatric brain tumors. Establishment, immunophenotyping and clinical implications.
- Development of zebrafish medulloblastoma-like PNET model by TALEN-mediated somatic gene inactivation
- Deacetylation of GD3A as a potential therapeutic strategy for paediatric medulloblastoma
- Preclinical Models of Pediatric Brain Tumors—Forging Ahead
- Modeling germline mutations in pineoblastoma uncovers lysosome disruption-based therapy
- Exploring the impact of intra-tumoural heterogeneity on liquid biopsy cell-free DNA methylation and copy number in head and neck squamous cell carcinoma.
- Integrative Multi-omics and Supervised Learning Identifies an Epithelial Signature for Radiotherapy Response in Colorectal Cancer
- RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects
- Update in Pediatric Neuro-Oncology
- eview n vitro models of medulloblastoma : Choosing the right tool for the job
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