Project description:In this study, a series of 102 cartilage tumors was used to uncover the molecular diversity of chondrosarcomas through the profiling of mRNA, miRNA, DNA methylation, DNA copy number aberrations and point mutations. An integrated classification using multiple molecular dimensions revealed three major molecular features unraveling the diversity in clinical outcome of chondrosarcoma: a high mitotic state, regional 14q32 loss of expression and IDH mutations leading to genome-wide hypermethylation. These three robust and simple molecular features classify chondrosarcoma in subtypes with superior clinical value as compared to the current grading system.
Project description:We report data obtaibed from high-throughput sequencing of small RNAs in 20 samples of follicular thyroid tumors. We analyzed a total of 4.7±1.5million reads per sample with 3 different pipelines. The main goal was to evaluate the usefulness of next generation sequencing in small RNA profiling and the concordance of its results with microarrays and qPCR. Additionally we verified published follicular thyroid tumor biomarkers in the set of our samples. Small RNA expression profiling with High Throughput Sequencing of 20 thyroid tumor samples, performed on an Illumina HiScan-SQ.
Project description:We report data obtaibed from high-throughput sequencing of small RNAs in 20 samples of follicular thyroid tumors. We analyzed a total of 4.7±1.5million reads per sample with 3 different pipelines. The main goal was to evaluate the usefulness of next generation sequencing in small RNA profiling and the concordance of its results with microarrays and qPCR. Additionally we verified published follicular thyroid tumor biomarkers in the set of our samples.
Project description:In this study, a series of 102 cartilage tumors was used to uncover the molecular diversity of chondrosarcomas through the profiling of mRNA, miRNA, DNA methylation, DNA copy number aberrations and point mutations. An integrated classification using multiple molecular dimensions revealed three major molecular features unraveling the diversity in clinical outcome of chondrosarcoma: a high mitotic state, regional 14q32 loss of expression and IDH mutations leading to genome-wide hypermethylation. These three robust and simple molecular features classify chondrosarcoma in subtypes with superior clinical value as compared to the current grading system.
Project description:In this study, a series of 102 cartilage tumors was used to uncover the molecular diversity of chondrosarcomas through the profiling of mRNA, miRNA, DNA methylation, DNA copy number aberrations and point mutations. An integrated classification using multiple molecular dimensions revealed three major molecular features unraveling the diversity in clinical outcome of chondrosarcoma: a high mitotic state, regional 14q32 loss of expression and IDH mutations leading to genome-wide hypermethylation. These three robust and simple molecular features classify chondrosarcoma in subtypes with superior clinical value as compared to the current grading system.
Project description:In this study, a series of 102 cartilage tumors was used to uncover the molecular diversity of chondrosarcomas through the profiling of mRNA, miRNA, DNA methylation, DNA copy number aberrations and point mutations. An integrated classification using multiple molecular dimensions revealed three major molecular features unraveling the diversity in clinical outcome of chondrosarcoma: a high mitotic state, regional 14q32 loss of expression and IDH mutations leading to genome-wide hypermethylation. These three robust and simple molecular features classify chondrosarcoma in subtypes with superior clinical value as compared to the current grading system.
Project description:To investigate the precise processing mechanism of pri-miRNA, we prepared 38,880 pri-miRNA variants which contain unique barcode sequences (Fang and Bartel, Mol Cell, 60: 131) and performed high-throughput processing experiments.
Project description:Here, we introduce a magnetic bead-based EV enrichment approach (EVrich) for automated and high-throughput processing of urine samples. Parallel enrichments can be performed in 96-well plates for downstream cargo analysis, including EV characterization, miRNA, proteomics and phosphoproteomics analysis. We applied the instrument to a cohort of clinical urine samples to achieve reproducible identification of over 47,562 unique EV peptides and 4,327 EV proteins in each one-ml urine sample. Quantitative phosphoproteomicsrevealed 186 unique phosphopeptides corresponding to 77 proteins that were significantly elevated in prostate cancer patients.