Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
about
Benchmarking substrate-based kinase activity inference using phosphoproteomic data.Understanding cell signaling in cancer stem cells for targeted therapy - can phosphoproteomics help to reveal the secrets?Approaches to identify kinase dependencies in cancer signalling networks.Kinase activity ranking using phosphoproteomics data (KARP) quantifies the contribution of protein kinases to the regulation of cell viability.Network propagation: a universal amplifier of genetic associations.Mechanisms of Therapeutic Resistance in Prostate Cancer.Complementing genomics and transcriptomics: Phosphoproteomics illuminates systems biology in prostate cancer.Flux control through protein phosphorylation in yeast.Deep Phospho- and Phosphotyrosine Proteomics Identified Active Kinases and Phosphorylation Networks in Colorectal Cancer Cell Lines Resistant to Cetuximab.Integrating phosphoproteomics into the clinical management of prostate cancerNetwork propagation in the cytoscape cyberinfrastructure.Metabolic reprogramming ensures cancer cell survival despite oncogenic signaling blockade.Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer.Molecular determinants of prostate cancer metastasis.Proteomics and phosphoproteomics in precision medicine: applications and challenges.Gain-of-function mutant p53 activates small GTPase Rac1 through SUMOylation to promote tumor progression.Impact of Phosphoproteomics in the Era of Precision Medicine for Prostate Cancer.The Immune Landscape of Cancer.MAPK reliance via acquired CDK4/6 inhibitor resistance in cancer.In Vivo Phosphoproteome Analysis Reveals Kinome Reprogramming in Hepatocellular Carcinoma.Integrative proteomics in prostate cancer uncovers robustness against genomic and transcriptomic aberrations during disease progression.Whole-transcriptome analysis of atrophic ovaries in broody chickens reveals regulatory pathways associated with proliferation and apoptosis.Typing tumors using pathways selected by somatic evolutionIn vivo phosphoproteomics reveals kinase activity profiles that predict treatment outcome in triple-negative breast cancerPhosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
P2860
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P2860
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate 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
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
@en
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
@nl
type
label
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
@en
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
@nl
prefLabel
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
@en
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
@nl
P2093
P2860
P50
P1433
P1476
Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.
@en
P2093
Ajay A Vashisht
Bryan A Smith
Christopher K Wong
Claire M Faltermeier
Daniel E Carlin
Daniel Teo Fleming
Evan O Paull
James A Wohlschlegel
Jiaoti Huang
Joshua M Stuart
P2860
P304
P356
10.1016/J.CELL.2016.07.007
P407
P577
2016-08-03T00:00:00Z