2017
RNA‐seq Based Transcription Characterization of Fusion Breakpoints as a Potential Estimator for Its Oncogenic Potential
Gu J, Chukhman M, Lu Y, Liu C, Liu S, Lu H. RNA‐seq Based Transcription Characterization of Fusion Breakpoints as a Potential Estimator for Its Oncogenic Potential. BioMed Research International 2017, 2017: 9829175. PMID: 29181411, PMCID: PMC5664375, DOI: 10.1155/2017/9829175.Peer-Reviewed Original ResearchConceptsOncogenic potentialFusion mutationsFusion geneHigh-throughput sequencing technologyClonal evolution theoryTranscriptome sequencing datasetsLarger clonal sizeSequencing technologiesSequencing datasetsGene fusionsClone ratioGenesFusion breakpointsGenomic alterationsMutationsFunctional featuresNeoplastic cellsTMPRSS2-ERGNormal samplesClonal sizeTumor samplesRecent studiesCellsEvolution theoryBreakpoints
2016
A Novel Scoring Estimator to Screening for Oncogenic Chimeric Transcripts in Cancer Transcriptome Sequencing
Gu J, Lu Y, Liu S, Lu H, Liu C. A Novel Scoring Estimator to Screening for Oncogenic Chimeric Transcripts in Cancer Transcriptome Sequencing. 2016, 1800-1805. DOI: 10.1109/bibm.2016.7822792.Peer-Reviewed Original ResearchChimeric transcriptsClonal evolution theoryTranscriptome sequencing datasetsTranscriptome sequencing dataLarger clonal sizeTranscriptome sequencingGenomic informationSequencing datasetsSequencing dataTranscriptional signatureNeoplastic cellsTranscriptsBreast cancer cell linesCancer cell linesOncogenic potentialChimeric mutationsFusion mutationsAdjacent normal tissuesCell linesNormal tissuesMutationsTMPRSS2-ERGCancer researchClonal sizeCells