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Correct cellular function is ensured by a complex network of proteins and enzymes, regulating protein synthesis and degradation. This protein network, maintaining the so-called protein homeostasis, regulates those processes on multiple levels, producing new or degrading old proteins to cope with changing intra- and extracellular environments. Disturbance of this tightly regulated machinery can have severe effects on the cell and can lead to a variety of pathologies on organism level. Diseases including cancer, neurodegeneration and infections are associated with causative or consequent alterations in protein homeostasis. To understand the pathologies of these diseases, it is therefore critical to examine how perturbations of protein homeostasis affect cellular pathways and physiology. In the recent years, analysis of protein homeostasis networks has resulted in the development of novel therapeutic approaches. However, for many factors it remains unclear how the cell is affected, if they are disturbed. Protein synthesis and degradation represent immediate responses of the cell to changes and need to be studied in the right timeframe, making them difficult to access by common methodology. In this work we developed a new mass spectrometry (MS) based method to study protein synthesis and degradation on a system-wide scale. Multiplexed enhanced protein dynamic (mePROD) MS was developed, overcoming these limitations by special sample mixing and novel data analysis protocols. MePROD thereby enables the measurement of rapid and transient (e.g. minutes) changes in protein synthesis of thousands of proteins. During responses of the cell to stressors (e.g. protein misfolding, oxidation or infection), two major pathways regulate the protein synthesis: the Integrated Stress Response (ISR) and mammalian target of rapamycin (mTOR). Both pathways have been connected with various diseases in the past and are common therapy targets. Although both pathways target protein synthesis in stress responses, the set of targets regulated by these pathways was believed to differ. Through the new mePROD MS method we could measure a comprehensive comparison of both pathways for the first time, revealing comparable system-wide patterns of regulation between the two pathways. This changed the current view on the regulation elicited by these pathways and furthermore represents a useful resource for the whole field of research. We could further develop the mePROD method and decrease MS measurement time needed to obtain an in-depth dataset. Through implementation of logic based instrument methods, it was possible to enhance the number of measured proteins by approximately three-fold within the same measurement time.
The dynamics of protein synthesis and degradation are frequently modulated by pathogens infecting the cell to promote pathogen replication. At the same time, the cell counteracts the infection by modulating protein dynamics as well. To develop useful therapy approaches to fight infections, it therefore is necessary to understand the complex changes within the host cell during infections on a system-wide scale. In 2019, a novel coronavirus spread around the world, causing a world-wide health-crisis. To better understand this novel virus and its infection of the host cell we conducted a study applying the mePROD methodology and classical proteomics to characterize the dynamic changes during the infection course in vitro. We discovered that the infection remodeled a diverse set of host cell pathways (e.g. mRNA splicing, glycolysis, DNA synthesis and protein homeostasis) and thereby showed possible targets for antiviral therapy. By targeted inhibition of these pathways, we could observe that these pathways indeed are necessary for SARS-CoV-2 replication and their inhibition could reduce viral load in the cells. Another experimental approach focused on the dynamic changes of protein modification, namely phosphorylation, after infection with SARS-CoV-2. Here, we could show the very important participation of growth factor signaling pathways in viral proliferation. Both studies together revealed critical pathways that are needed for the viral proliferation and hence are promising candidates for further therapies. Subsequent targeting of these pathways by either already approved drugs (Ribavirin and Sorafenib) or drugs in clinical trials (2-deoxyglucose, Pladienolide-B, NMS-873, Pictilisib, Omipalisib, RO5126766 and Lonafarnib) could block viral replication in vitro and suggests important clinical approaches targeting SARS-COV-2 infection.
Type 1 diabetes (T1D) is precipitated by the autoimmune destruction of the insulin-producing beta-cells in the pancreatic islets of Langerhans. Chemokines have been identified as major conductors of the islet infiltration by autoaggressive leukocytes, including antigen-presenting cells and islet autoantigen-specific T cells. We have previously generated a roadmap of the gene expression in the islet microenvironment during T1D in a mouse model and found that most of the chemokine axes are chronically upregulated during T1D. We focused our attention on CXCL10/CXCR3, CCL5/CCR5, CXCL16/CCR6, CX3CL1/CX3CR1, and XCL1/XCR1. First, we found that the absence of CCR6 and of CX3CR1 diminished T1D incidence in a mouse model for T1D. Further, the XCL1/XCR1 chemokine axis is of particular interest, since XCR1 is exclusively expressed on convention dendritic cells type 1 (cDC1) that excel by their high capacity for T cell activation. Here we demonstrate that cDC1 expressing XCR1 are present in and around the islets of patients with T1D and of islet-autoantibody positive individuals. Further, in an inducible mouse model for T1D, we show that XCL1 plays an important role in the attraction of highly potent dendritic cells expressing XCR1 to the islets. XCL1-deficient mice display a diminished infiltration of XCR1+ cDC1 and subsequently also a reduced magnitude and activity of islet autoantigen-specific T cells. XCR1-deficient mice display a reduced magnitude and activity of islet autoantigen-specific T cells. A 3D-visualization of the entire pancreas reveals that both XCL1-deficient mice and XCR1-deficient mice indeed maintain most of their functional islets after induction of the disease. Thus, the absence of XCL1 results in a profound decrease in T1D incidence. The XCR1-deficiency also reduces T1D incidence, even if in a less drastic way compared to XCL1-deficiency. An interference with the XCL1/XCR1 chemokine axis might constitute a novel target for the therapy for T1D.