Phosphoproteomics data classify hematological cancer cell lines according to tumor type and sensitivity to kinase inhibitors
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Phosphoproteomics data classify hematological cancer cell lines according to tumor type and sensitivity to kinase inhibitors
Authors
Keywords
Multiple Myeloma, Acute Myeloid Leukemia, Phosphorylation Site, Lasso, Acute Myeloid Leukemia Cell
Journal
GENOME BIOLOGY
Volume 14, Issue 4, Pages R37
Publisher
Springer Nature
Online
2013-04-29
DOI
10.1186/gb-2013-14-4-r37
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Proteomics Identifications (PRIDE) database and associated tools: status in 2013
- (2012) Juan Antonio Vizcaíno et al. NUCLEIC ACIDS RESEARCH
- Quantitative phosphoproteomics revealed interplay between Syk and Lyn in the resistance to nilotinib in chronic myeloid leukemia cells
- (2011) R. Gioia et al. BLOOD
- The BCR-ABL35INS insertion/truncation mutant is kinase-inactive and does not contribute to tyrosine kinase inhibitor resistance in chronic myeloid leukemia
- (2011) T. O'Hare et al. BLOOD
- Chemotherapeutic agents circumvent emergence of dasatinib-resistant BCR-ABL kinase mutations in a precise mouse model of Philadelphia chromosome-positive acute lymphoblastic leukemia
- (2011) N. Boulos et al. BLOOD
- Hallmarks of Cancer: The Next Generation
- (2011) Douglas Hanahan et al. CELL
- PI3K inhibition results in enhanced HER signaling and acquired ERK dependency in HER2-overexpressing breast cancer
- (2011) V Serra et al. ONCOGENE
- Less label, more free: Approaches in label-free quantitative mass spectrometry
- (2011) Karlie A. Neilson et al. PROTEOMICS
- The mTOR-Regulated Phosphoproteome Reveals a Mechanism of mTORC1-Mediated Inhibition of Growth Factor Signaling
- (2011) P. P. Hsu et al. SCIENCE
- Global Phosphoproteomics Reveals Crosstalk Between Bcr-Abl and Negative Feedback Mechanisms Controlling Src Signaling
- (2011) L. Rubbi et al. Science Signaling
- Correlating Phosphatidylinositol 3-Kinase Inhibitor Efficacy with Signaling Pathway Status:In silicoand Biological Evaluations
- (2010) Shingo Dan et al. CANCER RESEARCH
- Phosphoproteomic Analysis Reveals Interconnected System-Wide Responses to Perturbations of Kinases and Phosphatases in Yeast
- (2010) B. Bodenmiller et al. Science Signaling
- The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes
- (2009) J. W. Vardiman et al. BLOOD
- Intrinsic resistance to the MEK1/2 inhibitor AZD6244 (ARRY-142886) is associated with weak ERK1/2 signalling and/or strong PI3K signalling in colorectal cancer cell lines
- (2009) Kathryn Balmanno et al. INTERNATIONAL JOURNAL OF CANCER
- Increased Confidence in Large-Scale Phosphoproteomics Data by Complementary Mass Spectrometric Techniques and Matching of Phosphopeptide Data Sets
- (2009) Maria P. Alcolea et al. JOURNAL OF PROTEOME RESEARCH
- Quantitative Phosphoproteomics of Tomato Mounting a Hypersensitive Response Reveals a Swift Suppression of Photosynthetic Activity and a Differential Role for Hsp90 Isoforms
- (2009) Iris J. E. Stulemeijer et al. JOURNAL OF PROTEOME RESEARCH
- Mislocalized Activation of Oncogenic RTKs Switches Downstream Signaling Outcomes
- (2009) Chunaram Choudhary et al. MOLECULAR CELL
- Proteomic and Phospho-Proteomic Profile of Human Platelets in Basal, Resting State: Insights into Integrin Signaling
- (2009) Amir H. Qureshi et al. PLoS One
- Correlation of mRNA and protein levels: Cell type-specific gene expression of cluster designation antigens in the prostate
- (2008) Laura E Pascal et al. BMC GENOMICS
- The cancer biomarker problem
- (2008) Charles L. Sawyers NATURE
- Linear Motif Atlas for Phosphorylation-Dependent Signaling
- (2008) M. L. Miller et al. Science Signaling
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation