The Structural Features of Trask That Mediate Its Anti-Adhesive Functions

Trask/CDCP1 is a transmembrane protein with a large extracellular and small intracellular domains. The intracellular domain (ICD) undergoes tyrosine phosphorylation by Src kinases during anchorage loss and, when phosphorylated, Trask functions to inhibit cell adhesion. The extracellular domain (ECD) undergoes proteolytic cleavage by serine proteases, although the functional significance of this remains unknown. There is conflicting evidence regarding whether it functions to signal the phosphorylation of the ICD. To better define the structural determinants that mediate the anti-adhesive functions of Trask, we generated a series of deletion mutants of Trask and expressed them in tet-inducible cell models to define the structural elements involved in cell adhesion signaling. We find that the ECD is dispensable for the phosphorylation of the ICD or for the inhibition of cell adhesion. The anti-adhesive functions of Trask are entirely embodied within its ICD and are specifically due to tyrosine phosphorylation of the ICD as this function is completely lost in a phosphorylation-defective tyrosine-phenylalanine mutant. Both full length and cleaved ECDs are fully capable of phosphorylation and undergo phosphorylation during anchorage loss and cleavage is not an upstream signal for ICD phosphorylation. These data establish that the anti-adhesive functions of Trask are mediated entirely through its tyrosine phosphorylation. It remains to be defined what role, if any, the Trask ECD plays in its adhesion functions

HER Targeting in HER2-Negative Breast Cancers: Looking for the HER3 Positive

Targeting HER2 for the treatment of HER2-positive breast cancers is now a validated treatment paradigm. However, evidence suggests that this family of receptors may have important roles outside of the realm of HER2 amplification. There is considerable interest in the development of biomarkers to identify such breast cancers

Targeting HER3 by interfering with its Sec61-mediated cotranslational insertion into the endoplasmic reticulum

© 2015 Macmillan Publishers Limited There is increasing evidence implicating human epidermal growth factor receptor 3 (HER3) in several types of cancer. However, the development of targeted therapies to inactivate HER3 function has been a challenging ende

An ATP-Competitive Inhibitor Modulates the Allosteric Function of the HER3 Pseudokinase

SummaryHuman epidermal growth factor receptor 3 (HER3) is a receptor tyrosine kinase that lacks catalytic activity but is essential for cellular homeostasis due to its ability to allosterically activate EGFR and HER2. Although catalytically inactive, HER3 binds ATP tightly, hinting at a possible role of the nucleotide-binding pocket in modulating HER3 function. We report a structure of the HER3 pseudokinase bound to the ATP-competitive inhibitor bosutinib. Previously solved structures show that bosutinib can potently interact with multiple kinase domain conformations. In complex with HER3, bosutinib binds to yet another conformation, which is nearly identical to that observed in the HER3-ATP complex. Interestingly, occupation of the ATP-binding site by bosutinib improves the ability of HER3 to act as an allosteric activator of EGFR in vitro by increasing the affinity of the HER3-EGFR heterodimer in a membrane-dependent manner

Disentangling Multidimensional Spatio-Temporal Data into Their Common and Aberrant Responses

<div><p>With the advent of high-throughput measurement techniques, scientists and engineers are starting to grapple with massive data sets and encountering challenges with how to organize, process and extract information into meaningful structures. Multidimensional spatio-temporal biological data sets such as time series gene expression with various perturbations over different cell lines, or neural spike trains across many experimental trials, have the potential to acquire insight about the dynamic behavior of the system. For this potential to be realized, we need a suitable representation to understand the data. A general question is how to organize the observed data into meaningful structures and how to find an appropriate similarity measure. A natural way of viewing these complex high dimensional data sets is to examine and analyze the large-scale features and then to focus on the interesting details. Since the wide range of experiments and unknown complexity of the underlying system contribute to the heterogeneity of biological data, we develop a new method by proposing an extension of Robust Principal Component Analysis (RPCA), which models common variations across multiple experiments as the lowrank component and anomalies across these experiments as the sparse component. We show that the proposed method is able to find distinct subtypes and classify data sets in a robust way without any prior knowledge by separating these common responses and abnormal responses. Thus, the proposed method provides us a new representation of these data sets which has the potential to help users acquire new insight from data.</p></div

HER Targeting in HER2-Negative Breast Cancers: Looking for the HER3 Positive

Targeting HER2 for the treatment of HER2-positive breast cancers is now a validated treatment paradigm. However evidence suggests that this family of receptors may have important roles outside of the realm of HER2 amplification. There is considerable interest in the development of biomarkers to identify such breast cancers

A TORC2–Akt Feed-Forward Topology Underlies HER3 Resiliency in HER2-Amplified Cancers

The requisite role of HER3 in HER2-amplified cancers is beyond what would be expected as a dimerization partner or effector substrate and it exhibits a substantial degree of resiliency that mitigates the effects of HER2-inhibitor therapies. To better understand the roots of this resiliency, we conducted an in-depth chemical-genetic interrogation of the signaling network downstream of HER3. A unique attribute of these tumors is the deregulation of TORC2. The upstream signals that ordinarily maintain TORC2 signaling are lost in these tumors, and instead TORC2 is driven by Akt. We find that in these cancers HER3 functions as a buffering arm of an Akt-TORC2 feed-forward loop that functions as a self-perpetuating module. This network topology alters the role of HER3 from a conditionally engaged ligand-driven upstream physiologic signaling input to an essential component of a concentric signaling throughput highly competent at preservation of homeostasis. The competence of this signaling topology is evident in its response to perturbation at any of its nodes. Thus, a critical pathophysiologic event in the evolution of HER2-amplified cancers is the loss of the input signals that normally drive TORC2 signaling, repositioning it under Akt dependency, and fundamentally altering the role of HER3. This reprogramming of the downstream network topology is a key aspect in the pathogenesis of HER2-amplified cancers and constitutes a formidable barrier in the targeted therapy of these cancers