@article{f1bfb108e9114a2987574b8722a1294b,
title = "Improved protein arrays for quantitative systems analysis of the dynamics of signaling pathway interactions",
abstract = "An improved version of quantitative protein array platform utilizing linear Quantum dot signaling for systematically measuring protein levels and phosphorylation states is presented. The signals are amplified linearly by a confocal laser Quantum dot scanner resulting in ~1000-fold more sensitivity than traditional Western blots, but are not linear by the enzyme-based amplification. Software is developed to facilitate the quantitative readouts of signaling network activities. Kinetics of EGFRvIII mutant signaling was analyzed to quantify cross-talks between EGFR and other signaling pathways.",
keywords = "Analysis, Cross-talkimage, Glioma, Protein array, Quantitative analysis, Signaling pathway, Systems biology, quantum dot",
author = "Xiaoyu Wang and Ying Dong and Jiwani, {Ameena J.} and Yonglong Zou and Johanne Pastor and Makoto Kuro-O and Habib, {Amyn A.} and Minzi Ruan and Boothman, {David A.} and Yang, {Chin Rang}",
note = "Funding Information: We thank Drs. Kevin Rosenblatt, Jean Gao and Mike Story for their consultations and suggestions; Dr. Alan Miller for proof-reading the manuscript. This research was supported by the Office of Science, U.S. Department of Energy, Grant No. DE-FG02-07ER64335 (C-R.Y.) and by DE-FG02-09ER64789 (DAB). This work was also supported by grants from the National Institutes of Health Grant (R01AG019712) (MK), and R01NS062080 (AH). We also thank the support from NIH/NCI Cancer Center Grant (1P30CA142543-01) to the Genomics and Protein Lysate Array Shared Resource. This is manuscript CSCN065 from the {\textquoteleft}Cell Stress and Cancer Nanomedicine{\textquoteright} program in the Simmons Comprehensive Cancer Center at the University of Texas Southwestern Medical Center at Dallas.",
year = "2011",
month = sep,
day = "15",
doi = "10.1186/1477-5956-9-53",
language = "English (US)",
volume = "9",
journal = "Proteome Science",
issn = "1477-5956",
publisher = "BioMed Central",
}