Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
about
Precision medicine: from pharmacogenomics to pharmacoproteomicsPrecision targeted therapy of ovarian cancerA Golden Age for Working with Public Proteomics DataPDGFR-beta pathwayCollaboration to Accelerate Proteogenomics Cancer Care: The Department of Veterans Affairs, Department of Defense, and the National Cancer Institute's Applied Proteogenomics OrganizationaL Learning and Outcomes (APOLLO) Network.Proteome Profiling Outperforms Transcriptome Profiling for Coexpression Based Gene Function Prediction.OpenSlice: Quantitative data sharing from HyperPeaks to global ion chromatograms (GICs).An integrated proteomic and glycoproteomic approach uncovers differences in glycosylation occupancy from benign and malignant epithelial ovarian tumors.Characterization of developmental defects in the forebrain resulting from hyperactivated mTOR signaling by integrative analysis of transcriptomic and proteomic dataExtensive Peptide Fractionation and y1 Ion-Based Interference Detection Method for Enabling Accurate Quantification by Isobaric Labeling and Mass Spectrometry.MYC Deregulation in Primary Human Cancers.Characterization of Human Cancer Cell Lines by Reverse-phase Protein ArraysReversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targetsDetecting protein variants by mass spectrometry: a comprehensive study in cancer cell-lines.Identifying Abundant Immunotherapy and Other Targets in Solid Tumors: Integrating RNA-seq and Mass Spectrometry Proteomics Data Sets.Quantitative proteomic profiling of the extracellular matrix of pancreatic islets during the angiogenic switch and insulinoma progression.Quantitative global proteome and lysine succinylome analyses provide insights into metabolic regulation and lymph node metastasis in gastric cancer.Haploinsufficiency networks identify targetable patterns of allelic deficiency in low mutation ovarian cancer.Immunological profiling of molecularly classified high-risk endometrial cancers identifies POLE-mutant and microsatellite unstable carcinomas as candidates for checkpoint inhibition.Understanding cell signaling in cancer stem cells for targeted therapy - can phosphoproteomics help to reveal the secrets?Proteogenomic integration reveals therapeutic targets in breast cancer xenograftsPhosphoproteomics of Primary Cells Reveals Druggable Kinase Signatures in Ovarian Cancer.Spatiotemporal proteomic profiling of human cerebral development.Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells.Proteomics analysis to reveal biological pathways and predictive proteins in the survival of high-grade serous ovarian cancerAdaptive Multiview Nonnegative Matrix Factorization Algorithm for Integration of Multimodal Biomedical Data.Pathways to Genome-targeted Therapies in Serous Ovarian Cancer.Proteogenomics approaches for studying cancer biology and their potential in the identification of acute myeloid leukemia biomarkers.Approaches to identify kinase dependencies in cancer signalling networks.Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancerQuantitative proteomics: challenges and opportunities in basic and applied research.Identification of Pharmacologically Tractable Protein Complexes in Cancer Using the R-Based Network Clustering and Visualization Program MCODER.Common biological phenotypes characterize the acquisition of platinum-resistance in epithelial ovarian cancer cells.Methods, Tools and Current Perspectives in Proteogenomics.Proteomics discovery of chemoresistant biomarkers for ovarian cancer therapy.A pan-cancer analysis of secreted Frizzled-related proteins: re-examining their proposed tumour suppressive function.Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease.Harnessing the power of proteomics for identification of oncogenic, druggable signalling pathways in cancer.Insights into molecular therapy of glioma: current challenges and next generation blueprintFunctional variomics and network perturbation: connecting genotype to phenotype in cancer.
P2860
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P2860
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
@en
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
@nl
type
label
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
@en
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
@nl
prefLabel
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
@en
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
@nl
P2093
P2860
P50
P1433
P1476
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
@en
P2093
Akhilesh Pandey
Bing Zhang
CPTAC Investigators
Caitlin Choi
Chaochao Wu
Daniel W Chan
Douglas A Levine
Emily S Boja
P2860
P304
P356
10.1016/J.CELL.2016.05.069
P407
P577
2016-06-29T00:00:00Z