Proteogenomics connects somatic mutations to signalling in breast cancer.
about
Using Pharmacogenomic Databases for Discovering Patient-Target Genes and Small Molecule Candidates to Cancer TherapyPrecision medicine: from pharmacogenomics to pharmacoproteomicsA Golden Age for Working with Public Proteomics DataGain- and Loss-of-Function Mutations in the Breast Cancer Gene GATA3 Result in Differential Drug SensitivityCollaboration 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 findBenchmarking 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 targetsCell 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 dataPrediction 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 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.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 xenograftsPhosphoproteomics 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.
P2860
Q28076097-4EA55376-FDBD-4AF4-A721-38337317DD9BQ28076871-A49A3AF0-1C95-4C9A-B784-490C8AA04AF5Q28519626-21E9E64B-E5C3-4C93-B1F3-0D063AC9567FQ28553888-8FA18D41-78B1-4D06-9809-4E690F215FBEQ30238490-14429D95-4FB5-44EA-8359-FFA8462D7F21Q30834140-FE2EC9EF-FA3F-4E54-8FC1-6C7DDE2AFA86Q31115964-7B7283FE-9A65-4C16-B135-EA9E89A6694EQ31133823-91E67AC7-5B10-41B9-A081-E4F6A927E7B5Q31159702-E43A5F84-24FD-4564-BE1E-559447E6BD5BQ31162178-871C65CE-B68A-4CC4-BFD6-2A9EA62C3C46Q33554593-3CF9D8FA-EEEA-4608-948D-D50BD22F8E2FQ33711702-66AD46B6-1803-489F-B7E4-92D3E3228F3EQ33767473-CEA23C4E-81DA-4DDE-81F0-4FDAD7E8EAE4Q33767612-5411EC49-6B77-4AB5-B544-856B5BEF646DQ33778306-1D442076-CD70-4437-BD2C-06BB9D48433BQ33787283-6F632B8F-BFD1-4C38-B9CA-4DDBD56D1F35Q33836755-1B8D6E0B-4D09-4C01-8FAA-1A64EAB73906Q33859813-F7164947-E1B1-44CF-BD47-01D313B28EFAQ33882864-C25D5C12-8171-4513-8681-5BE450ECC1F3Q33903831-1B8EA3BB-43C6-4DAB-9F7E-1AAE7665CD09Q33913055-9769D34C-7A7F-47EA-8B7E-AC3602D576E5Q36347054-264B680E-9EE2-4ACF-AF3A-916530C752ACQ37338907-A7E69D4E-ED58-48C1-8A60-2D07B57170A2Q37575966-2617E900-0326-419C-8A0E-A35A3EA49688Q37625637-606EE065-1B4D-4850-A109-F43740E707F1Q37676851-E881483C-8D2A-49F3-B767-255FFDB89D4BQ37709355-96A065B9-8141-4AAC-B8AA-03DB898F68EEQ37728625-846C1173-FB02-4BE5-8137-D55CFEB89116Q37736010-1BE0893D-CB05-413C-BA7E-4A258CAFD832Q37736390-929372CF-966F-43F5-A369-E4760EB45033Q37739177-6059097D-EDFC-481F-A00D-A7309F047257Q38373307-F7C05600-8DD9-4E61-B547-A8C85948F54FQ38434198-C66FEB6D-5303-426D-A40D-442EA3E7DC9BQ38444442-FD7C3BCA-E5E3-46C5-954F-C035AF582BBDQ38602104-2FCB069E-26F0-46BE-A990-6542EF99EBDEQ38611086-0B43B088-5E5B-4470-99F4-02984D6C8CD2Q38641003-8A938846-EECB-4778-A6E1-E0BDDD45829CQ38651621-8A38DFA2-29D2-4867-8A2C-19334E3124F5Q38660073-D6AE84F4-6456-48B8-BFDC-BD3D35D5F3ACQ38660465-0D51E2DA-242E-4B9D-9B0B-A893AF5193F3
P2860
Proteogenomics connects somatic mutations to signalling in breast 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
Proteogenomics connects somatic mutations to signalling in breast cancer.
@ast
Proteogenomics connects somatic mutations to signalling in breast cancer.
@en
type
label
Proteogenomics connects somatic mutations to signalling in breast cancer.
@ast
Proteogenomics connects somatic mutations to signalling in breast cancer.
@en
prefLabel
Proteogenomics connects somatic mutations to signalling in breast cancer.
@ast
Proteogenomics connects somatic mutations to signalling in breast cancer.
@en
P2093
P2860
P50
P356
P1433
P1476
Proteogenomics connects somatic mutations to signalling in breast cancer.
@en
P2093
Amanda G Paulovich
Bing Zhang
Chenwei Lin
Christopher R Kinsinger
David Fenyö
Filip Mundt
Francesca Petralia
Henry Rodriguez
Jana W Qiao
P2860
P2888
P356
10.1038/NATURE18003
P407
P577
2016-05-25T00:00:00Z