Proteogenomics connects somatic mutations to signalling in breast cancer. - Test2 - elhamkhani - TriplyDB

Proteogenomics connects somatic mutations to signalling in breast cancer.

Proteogenomics connects somatic mutations to signalling in breast cancer.

http://www.wikidata.org/entity/Q36037203

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Using Pharmacogenomic Databases for Discovering Patient-Target Genes and Small Molecule Candidates to Cancer Therapy Precision medicine: from pharmacogenomics to pharmacoproteomics A Golden Age for Working with Public Proteomics Data Gain- and Loss-of-Function Mutations in the Breast Cancer Gene GATA3 Result in Differential Drug Sensitivity Collaboration 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).Next Generation Sequencing Data and Proteogenomics."Big Data" for Breast Cancer: Where to look and what you will find Benchmarking substrate-based kinase activity inference using phosphoproteomic data.p27Kip1 promotes invadopodia turnover and invasion through the regulation of the PAK1/Cortactin pathway.Going beyond genetics to discover cancer targets Cell state plasticity, stem cells, EMT, and the generation of intra-tumoral heterogeneity.Characterization of developmental defects in the forebrain resulting from hyperactivated mTOR signaling by integrative analysis of transcriptomic and proteomic data Prediction of adjuvant chemotherapy response in triple negative breast cancer with discovery and targeted proteomics.Extensive 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.An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes.Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets Detecting 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.Comprehensive functional analysis of the tousled-like kinase 2 frequently amplified in aggressive luminal breast cancers.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.Proteomics insights into DNA damage response and translating this knowledge to clinical strategies.Proteomic identification of the oncoprotein STAT3 as a target of a novel Skp1 inhibitor.Understanding cell signaling in cancer stem cells for targeted therapy - can phosphoproteomics help to reveal the secrets?Mammalian SWI/SNF Enzymes and the Epigenetics of Tumor Cell Metabolic Reprogramming.Proteogenomic integration reveals therapeutic targets in breast cancer xenografts Phosphoproteomics of Primary Cells Reveals Druggable Kinase Signatures in Ovarian Cancer.Spatiotemporal proteomic profiling of human cerebral development.Identification of Sequence Variants within Experimentally Validated Protein Interaction Sites Provides New Insights into Molecular Mechanisms of Disease Development.Bioinformatics exploration of PAK1 (P21-activated kinase-1) revealed potential network gene elements in breast invasive carcinoma.Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells.Adaptive Multiview Nonnegative Matrix Factorization Algorithm for Integration of Multimodal Biomedical Data.Systematic Selection of Reference Genes for the Normalization of Circulating RNA Transcripts in Pregnant Women Based on RNA-Seq Data.PCSF: An R-package for network-based interpretation of high-throughput data.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.

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P2860

Proteogenomics connects somatic mutations to signalling in breast cancer.

http://www.wikidata.org/entity/Q36037203

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2016年の論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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name

Proteogenomics connects somatic mutations to signalling in breast cancer.

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Proteogenomics connects somatic mutations to signalling in breast cancer.

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type

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Proteogenomics connects somatic mutations to signalling in breast cancer.

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Proteogenomics connects somatic mutations to signalling in breast cancer.

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Proteogenomics connects somatic mutations to signalling in breast cancer.

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Proteogenomics connects somatic mutations to signalling in breast cancer.

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Proteogenomics connects somatic mutations to signalling in breast cancer.

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Amanda G Paulovich

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Bing Zhang

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Chenwei Lin

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Christopher R Kinsinger

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D R Mani

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David Fenyö

http://www.w3.org/2001/XMLSchema#string

Filip Mundt

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Francesca Petralia

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Henry Rodriguez

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Jana W Qiao

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P2860

Identification of druggable cancer driver genes amplified across TCGA datasets

The Cyclin K/Cdk12 complex maintains genomic stability via regulation of expression of DNA damage response genes

The HPV-16 E6 and E6-AP complex functions as a ubiquitin-protein ligase in the ubiquitination of p53

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Endocrine-therapy-resistant ESR1 variants revealed by genomic characterization of breast-cancer-derived xenografts

Comprehensive molecular portraits of human breast tumours

Gene expression profiling predicts clinical outcome of breast cancer

A human interactome in three quantitative dimensions organized by stoichiometries and abundances.

Molecular portraits of human breast tumours

Repeated observation of breast tumor subtypes in independent gene expression data sets

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10.1038/NATURE18003

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7605

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Charles M. Perou

Kelly V. Ruggles

Jonathan T. Lei

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Venkata Yellapantula

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2016-05-25T00:00:00Z

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