Many human malignancies are associated with aberrant regulation of protein or lipid
kinases due to mutations, chromosomal rearrangements and/or gene amplification. Protein …

The ultimate aim of proteomics is to fully identify and quantify the entire complement of
proteins and post-translational modifications in biological samples of interest. For the last 15 …

Despite the success of tyrosine kinase-based cancer therapeutics, for most solid tumors the
tyrosine kinases that drive disease remain unknown, limiting our ability to identify drug …

The epidermal growth factor receptor (EGFR) is a primary contributor to glioblastoma (GBM)
initiation and progression. Here, we examine how EGFR and key downstream signaling …

Although recent developments in MS have enabled the identification and quantification of
hundreds of phosphorylation sites from a given biological sample, phosphoproteome …

Caveolae are ampullate (flask-shaped) invaginations that are abundant in the plasma
membrane of many mammalian cell types. Although caveolae are implicated in a wide …

Clustering is an unsupervised learning method, which groups data points based on
similarity, and is used to reveal the underlying structure of data. This computational …

The ability to conduct validated analyses of biomarkers is critically important in order to
establish the sensitivity and selectivity of the biomarker in identifying a particular disease …

Advances in the generation and interpretation of proteomics data have spurred a transition
from focusing on protein identification to functional analysis. Here we review recent …

Deregulation of ErbB signaling plays a key role in the progression of multiple human
cancers. To help understand ErbB signaling quantitatively, in this work we combine …