Signalling proteins are intrinsic to all biological processes and interact with each other in tightly regulated and orchestrated signalling complexes and pathways. Characterization of protein binding can help to elucidate protein function within signalling pathways. This information is vital for researchers to gain a more comprehensive knowledge of cellular networks which can then be used to develop new therapeutic strategies for disease. However, studying protein-protein interactions (PPIs) can be challenging as the interactions can be extremely transient downstream of specific environmental cues. There are many powerful techniques currently available to identify and confirm PPIs. Choosing the most appropriate range of techniques merits serious consideration. The aim of this review is to provide a starting point for researchers embarking on a PPI study. We provide an overview and point of reference for some of the many methods available to identify interactions from in silico analysis and large scale screening tools through to the methods used to validate potential PPIs. We discuss the advantages and disadvantages of each method and we also provide a workflow chart to highlight the main experimental questions to consider when planning cell lysis to maximize experimental success.
BACKGROUND AND PURPOSEDehydroepiandrosterone (DHEA) is thought to be an anti-glucocorticoid hormone known to be fully functional in young people but deficient in aged humans. Our previous data suggest that DHEA not only counteracts the effect of cortisol on RACK1 expression, a protein required both for the correct functioning of immune cells and for PKC-dependent pathway activation, but also modulates the inhibitory effect of cortisol on LPS-induced cytokine production. The purpose of this study was to investigate the effect of DHEA on the splicing mechanism of the human glucocorticoid receptor (GR). EXPERIMENTAL APPROACHThe THP1 monocytic cell line was used as a cellular model. Cytokine production was measured by specific ELISA. Western blot and real-time RT-PCR were used, where appropriate, to determine the effect of DHEA on GRs, serine/arginine-rich proteins (SRp), and RACK1 protein and mRNA. Small-interfering RNA was used to down-regulate GRβ. KEY RESULTSDHEA induced a dose-related up-regulation of GRβ and GRβ knockdown completely prevented DHEA-induced RACK1 expression and modulation of cytokine release. Moreover, we showed that DHEA influenced the expression of some components of the SRps found within the spliceosome, the main regulators of the alternative splicing of the GR gene. CONCLUSIONS AND IMPLICATIONSThese data contribute to our understanding of the mechanism of action of DHEA and its effect on the immune system and as an anti-glucocorticoid agent. AbbreviationsDHEA, dehydroepiandrosterone; GNB2L1, guanine nucleotide-binding protein β-2-like 1; GR, glucocorticoid receptor; GRE, glucocorticoid-responsive element; SR protein, serine/arginine-rich protein; RACK1, receptor for activated C kinase 1
Platelets are associated with a poor prognosis tissue composition A 3D tetra-culture tissue model enables dissection of platelet action in metastasis Platelets stimulate mesothelial and tumor cells to produce a diseased matrisome Platelet activation of the mesothelium permits tumor invasion
Aim:RACK1 is a multifunctional scaffolding protein that is expressed in many cellular compartments, orchestrating a number of signaling processes. RACK1 acts as a signaling hub to localize active enzymes to discrete locations; therefore tight control of RACK1 is vital to cellular homeostasis. Our aim was to identify the mechanisms responsible for RACK1 turnover and show that degradation is directed by the ubiquitin proteasome system.Results:Using siRNA screening, we identified RAB40C as the ubiquitin E3 ligase responsible for ubiquitination of RACK1, and that the action of RAB40C in controlling RACK1 levels is crucial to both cancer cell growth and migration of T cells.Conclusion:Our data suggest that manipulation of RACK1 levels in this way may provide a novel strategy to explore RACK1 function.
In a multi-level ''deconstruction'' of omental metastases, we previously identified a prognostic matrisome gene expression signature in high-grade serous ovarian cancer (HGSOC) and twelve other malignancies. Here, our aim was to understand how six of these extracellular matrix (ECM) molecules, COL11A1, cartilage oligomeric matrix protein, FN1, versican, cathepsin B, and COL1A1, are upregulated in cancer. Using biopsies, we identified significant associations between TGFbR activity, Hedgehog (Hh) signaling, and these ECM molecules and studied the associations in mono-, co-, and tri-culture. Activated omental fibroblasts (OFs) produced more matrix than malignant cells, directed by TGFbR and Hh signaling cross talk. We ''reconstructed'' omental metastases in tri-cultures of HGSOC cells, OFs, and adipocytes. This combination was sufficient to generate all six ECM proteins and the matrisome expression signature. TGFbR and Hh inhibitor combinations attenuated fibroblast activation and gel and ECM remodeling in these models. The tri-culture model reproduces key features of omental metastases and allows study of diseased-associated ECM.
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