33 research outputs found

    Hsp70ā€“Bag3 complex is a hub for proteotoxicity-induced signaling that controls protein aggregation

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    Protein abnormalities in cells are the cause of major pathologies, and a number of adaptive responses have evolved to relieve the toxicity of misfolded polypeptides. To trigger these responses, cells must detect the buildup of aberrant proteins which often associate with proteasome failure, but the sensing mechanism is poorly understood. Here we demonstrate that this mechanism involves the heat shock protein 70ā€“Bcl-2ā€“associated athanogene 3 (Hsp70ā€“Bag3) complex, which upon proteasome suppression responds to the accumulation of defective ribosomal products, preferentially recognizing the stalled polypeptides. Components of the ribosome quality control system LTN1 and VCP and the ribosome-associated chaperone NAC are necessary for the interaction of these species with the Hsp70ā€“Bag3 complex. This complex regulates important signaling pathways, including the Hippo pathway effectors LATS1/2 and the p38 and JNK stress kinases. Furthermore, under proteotoxic stress Hsp70ā€“Bag3ā€“LATS1/2 signaling regulates protein aggregation. We established that the regulated step was the emergence and growth of abnormal protein oligo-mers containing only a few molecules, indicating that aggregation is regulated at very early stages. The Hsp70ā€“Bag3 complex therefore functions as an important signaling node that senses proteo-toxicity and triggers multiple pathways that control cell physiology, including activation of protein aggregation

    The Tumor Suppressor CYLD Inhibits Mammary Epithelial to Mesenchymal Transition by the Coordinated Inhibition of YAP/TAZ and TGFĪ² Signaling

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    Downregulation of the cylindromatosis (CYLD) tumor suppressor has been associated with breast cancer development and progression. Here, we report a critical role for CYLD in maintaining the phenotype of mammary epithelial cells in vitro and in vivo. CYLD downregulation or inactivation induced an epithelial to mesenchymal transition of mammary epithelial cells that was dependent on the concomitant activation of the transcription factors Yes-associated protein (YAP)/transcriptional coactivator with PDZ-binding motif (TAZ) and transforming growth factor beta (TGFļæ½)signaling. CYLD inactivation enhanced the nuclear localization of YAP/TAZ and the phosphorylation of Small Mothers Against Decapentaplegic (SMAD)2/3 proteins in confluent cell culture conditions. Consistent with these findings were the hyperplastic alterations of CYLD-deficient mouse mammary epithelia, which were associated with enhanced nuclear expression of the YAP/TAZ transcription factors. Furthermore, in human breast cancer samples, downregulation of CYLD expression correlates with enhanced YAP/TAZ-regulated target gene expression. Our results identify CYLD as a critical regulator of a signaling node that prevents the coordinated activation of YAP/TAZ and the TGFļæ½ pathway in mammary epithelial cells, in order to maintain their phenotypic identity and homeostasis. Consequently, they provide a novel conceptual framework that supports and explains a causal implication of deficient CYLD expression in aggressive human breast cancers

    CaDrA: A Computational Framework for Performing Candidate Driver Analyses Using Genomic Features

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    The identification of genetic alteration combinations as drivers of a given phenotypic outcome, such as drug sensitivity, gene or protein expression, and pathway activity, is a challenging task that is essential to gaining new biological insights and to discovering therapeutic targets. Existing methods designed to predict complementary drivers of such outcomes lack analytical flexibility, including the support for joint analyses of multiple genomic alteration types, such as somatic mutations and copy number alterations, multiple scoring functions, and rigorous significance and reproducibility testing procedures. To address these limitations, we developed Candidate Driver Analysis or CaDrA, an integrative framework that implements a step-wise heuristic search approach to identify functionally relevant subsets of genomic features that, together, are maximally associated with a specific outcome of interest. We show CaDrAā€™s overall high sensitivity and specificity for typically sized multi-omic datasets using simulated data, and demonstrate CaDrAā€™s ability to identify known mutations linked with sensitivity of cancer cells to drug treatment using data from the Cancer Cell Line Encyclopedia (CCLE). We further apply CaDrA to identify novel regulators of oncogenic activity mediated by Hippo signaling pathway effectors YAP and TAZ in primary breast cancer tumors using data from The Cancer Genome Atlas (TCGA), which we functionally validate in vitro. Finally, we use pan-cancer TCGA protein expression data to show the high reproducibility of CaDrAā€™s search procedure. Collectively, this work demonstrates the utility of our framework for supporting the fast querying of large, publicly available multi-omics datasets, including but not limited to TCGA and CCLE, for potential drivers of a given target profile of interest

    Cdc34 Self-Association Is Facilitated by Ubiquitin Thiolester Formation and Is Required for Its Catalytic Activity

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    Using a coimmunoprecipitation strategy, we showed that the Cdc34 ubiquitin (Ub)-conjugating enzyme from Saccharomyces cerevisiae self-associates in cell lysates, thereby indicating an in vivo interaction. The ability of Cdc34 to interact with itself is not dependent on its association with the ubiquitin ligase Skp1-Cdc53/Cul1-Hrt1-F-box complex. Rather, this interaction depends upon the integrity of the Cdc34āˆ¼Ub thiolester. Furthermore, several principal determinants within the Cdc34 catalytic domain, including the active-site cysteine, amino acid residues S73 and S97, and its catalytic domain insertion, also play a role in self-association. Mutational studies have shown that these determinants are functionally important in vivo and operate at the levels of both Cdc34āˆ¼Ub thiolester formation and Cdc34-mediated multi-Ub chain assembly. These determinants are spatially situated in a region that is close to the active site, corresponding closely to the previously identified E2-Ub interface. These observations indicate that the formation of the Cdc34āˆ¼Ub thiolester is important for Cdc34 self-association and that the interaction of Cdc34āˆ¼Ub thiolesters is in turn a prerequisite for both multi-Ub chain assembly and Cdc34's essential function(s). A conclusion from these findings is that the placement of ubiquitin on the Cdc34 surface is a structurally important feature of Cdc34's function

    Structure learning for gene regulatory networks.

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    Inference of biological network structures is often performed on high-dimensional data, yet is hindered by the limited sample size of high throughput "omics" data typically available. To overcome this challenge, often referred to as the "small n, large p problem," we exploit known organizing principles of biological networks that are sparse, modular, and likely share a large portion of their underlying architecture. We present SHINE-Structure Learning for Hierarchical Networks-a framework for defining data-driven structural constraints and incorporating a shared learning paradigm for efficiently learning multiple Markov networks from high-dimensional data at large p/n ratios not previously feasible. We evaluated SHINE on Pan-Cancer data comprising 23 tumor types, and found that learned tumor-specific networks exhibit expected graph properties of real biological networks, recapture previously validated interactions, and recapitulate findings in literature. Application of SHINE to the analysis of subtype-specific breast cancer networks identified key genes and biological processes for tumor maintenance and survival as well as potential therapeutic targets for modulating known breast cancer disease genes

    Verteporfin protects against Th17 cellā€mediated EAE independently of YAP inhibition

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    The known YAP inhibitor verteporfin is capable of repressing ILā€17A production in Th17 cells. However, this effect is mediated independently of YAP and can ameliorate Th17ā€mediated experimental autoimmune encephalomyelitis (EAE) upon in vivo administration. The data suggest verteprofin's mode of action for the design of novel therapeutic autoimmune disease intervention

    Yap suppresses T-cell function and infiltration in the tumor microenvironment.

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    A major challenge for cancer immunotherapy is sustaining T-cell activation and recruitment in immunosuppressive solid tumors. Here, we report that the levels of the Hippo pathway effector Yes-associated protein (Yap) are sharply induced upon the activation of cluster of differentiation 4 (CD4)-positive and cluster of differentiation 8 (CD8)-positive T cells and that Yap functions as an immunosuppressive factor and inhibitor of effector differentiation. Loss of Yap in T cells results in enhanced T-cell activation, differentiation, and function, which translates in vivo to an improved ability for T cells to infiltrate and repress tumors. Gene expression analyses of tumor-infiltrating T cells following Yap deletion implicates Yap as a mediator of global T-cell responses in the tumor microenvironment and as a negative regulator of T-cell tumor infiltration and patient survival in diverse human cancers. Collectively, our results indicate that Yap plays critical roles in T-cell biology and suggest that Yap inhibition improves T-cell responses in cancer
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