Reduced-representation Phosphosignatures Measured by Quantitative Targeted MS Capture Cellular States and Enable Large-scale Comparison of Drug-induced Phenotypes
about
Benchmarking substrate-based kinase activity inference using phosphoproteomic data.Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targetsInference and quantification of peptidoforms in large sample cohorts by SWATH-MS.A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research.Integrative network and transcriptomics-based approach predicts genotype- specific drug combinations for melanoma.The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease.Transitioning from Targeted to Comprehensive Mass Spectrometry Using Genetic Algorithms.The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations.Systems Pharmacology Dissection of Cholesterol Regulation Reveals Determinants of Large Pharmacodynamic Variability between Cell Lines.Activity of the PI3K-δ,γ inhibitor duvelisib in a phase I trial and preclinical models of T-cell lymphoma.Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.Highly reproducible improved label-free quantitative analysis of cellular phosphoproteome by optimization of LC-MS/MS gradient and analytical column construction.Specter: linear deconvolution for targeted analysis of data-independent acquisition mass spectrometry proteomics.Targeted Quantification of Phosphorylation Dynamics in the Context of EGFR-MAPK Pathway.A Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbations.Reconstructing phosphorylation signalling networks from quantitative phosphoproteomic data
P2860
Q31162178-89F4AFB6-A3A6-4993-86E2-E4AE5B13F36CQ33903831-D77D2B1B-6389-4F65-B492-4411E2D392E9Q36399003-45E0E9B3-429F-4CBE-BE4F-98E35E20A30FQ37651691-9195C007-6B44-4824-B62F-9DACB13F9863Q38621140-452E8C2A-18FD-436F-A5BC-84ED86D95E41Q38686995-89B6EAF0-21D9-4211-966D-EC6A1D36621AQ38989305-4344A7A5-850B-4F72-BE8F-0CE722D06FAAQ39452732-9057C041-EABC-41B0-82DD-BC3D5863D3DBQ46954616-DF8D0855-8105-4380-9918-49F0C087341CQ47262709-B4E3223F-780F-44E2-B9FC-1A3420F6001EQ49887083-8A1042F6-298C-46BE-B432-D8B31BEF472FQ49922966-7BB1C6DB-99F2-4C87-A320-5A9F03A9998AQ50933062-363A7882-E363-4C6B-B011-A43CC21F0629Q53833187-210D8C9B-A7CB-4BAE-8BA8-DE4CB8E2CC4FQ54119124-92C45A5E-B768-4CC6-830B-A9DAD0CA3AADQ55263249-4C3C38EF-C3D8-4703-89D0-F2CBAD4C850BQ58802584-30627981-DC2E-4FD4-A1DF-97D012B2AC60
P2860
Reduced-representation Phosphosignatures Measured by Quantitative Targeted MS Capture Cellular States and Enable Large-scale Comparison of Drug-induced Phenotypes
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
Reduced-representation Phospho ...... son of Drug-induced Phenotypes
@ast
Reduced-representation Phospho ...... son of Drug-induced Phenotypes
@en
type
label
Reduced-representation Phospho ...... son of Drug-induced Phenotypes
@ast
Reduced-representation Phospho ...... son of Drug-induced Phenotypes
@en
prefLabel
Reduced-representation Phospho ...... son of Drug-induced Phenotypes
@ast
Reduced-representation Phospho ...... son of Drug-induced Phenotypes
@en
P2093
P2860
P356
P1476
Reduced-representation Phospho ...... son of Drug-induced Phenotypes
@en
P2093
Adam Officer
Amanda L Creech
Aravind Subramanian
Caitlin M Feeney
Daniel Lam
Desiree Davison
Evan Snyder
Jacob D Jaffe
Jana W Qiao
P2860
P304
P356
10.1074/MCP.M116.058354
P577
2016-02-24T00:00:00Z