The endocytic receptor uPARAP is a regulator of extracellular thrombospondin-1.

Thrombospondin-1 (TSP-1) is a matricellular protein with a multitude of functions in the pericellular and extracellular environment. We report a novel pathway for the regulation of extracellular TSP-1, governed by the endocytic collagen receptor, uPARAP (urokinase plasminogen activator receptor-associated protein; MRC2 gene product, also designated Endo180, CD280). First, using a novel proteomic approach for unbiased identification of ligands for endocytosis, we identify TSP-1 as a candidate ligand for specific uptake by uPARAP. We then show that uPARAP can efficiently internalize TSP-1 for lysosomal degradation, that this capability is not shared by other, closely related endocytic receptors and that uPARAP serves to regulate the extracellular levels of TSP-1 in vitro. Using wild type and uPARAP null mice, we also demonstrate uPARAP-mediated endocytosis of TSP-1 in dermal fibroblasts in vivo. Unlike other uPARAP ligands, the interaction with TSP-1 is sensitive to heparin and the responsible molecular motifs in uPARAP are overlapping, but not identical with those governing the interaction with collagens. Finally, we show that uPARAP can also mediate the endocytosis of TSP-2, a thrombospondin closely related to TSP-1, but not the more distantly related members of the same protein family, TSP-3, -4 and -5. These findings indicate that the role of uPARAP in ECM remodeling is not limited to the uptake of collagen for degradation but also includes an orchestrator function in the regulation of thrombospondins with numerous downstream effects. This is likely to be an important factor in the physiological and pathological roles of uPARAP in bone biology, fibrosis and cancer. The proteomic data has been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD031272.

A Tutorial for Variance-Sensitive Clustering and the Quantitative Analysis of Protein Complexes.

Data clustering facilitates the identification of biologically relevant molecular features in quantitative proteomics experiments with thousands of measurements over multiple conditions. It finds groups of proteins or peptides with similar quantitative behavior across multiple experimental conditions. This co-regulatory behavior suggests that the proteins of such a group share their functional behavior and thus often can be mapped to the same biological processes and molecular subnetworks.While usual clustering approaches dismiss the variance of the measured proteins, VSClust combines statistical testing with pattern recognition into a common algorithm. Here, we show how to use the VSClust web service on a large proteomics data set and present further tools to assess the quantitative behavior of protein complexes.

PolySTest: Robust Statistical Testing of Proteomics Data with Missing Values Improves Detection of Biologically Relevant Features.

Statistical testing remains one of the main challenges for high-confidence detection of differentially regulated proteins or peptides in large-scale quantitative proteomics experiments by mass spectrometry. Statistical tests need to be sufficiently robust to deal with experiment intrinsic data structures and variations and often also reduced feature coverage across different biological samples due to ubiquitous missing values. A robust statistical test provides accurate confidence scores of large-scale proteomics results, regardless of instrument platform, experimental protocol and software tools. However, the multitude of different combinations of experimental strategies, mass spectrometry techniques and informatics methods complicate the decision of choosing appropriate statistical approaches. We address this challenge by introducing PolySTest, a user-friendly web service for statistical testing, data browsing and data visualization. We introduce a new method, Miss test, that simultaneously tests for missingness and feature abundance, thereby complementing common statistical tests by rescuing otherwise discarded data features. We demonstrate that PolySTest with integrated Miss test achieves higher confidence and higher sensitivity for artificial and experimental proteomics data sets with known ground truth. Application of PolySTest to mass spectrometry based large-scale proteomics data obtained from differentiating muscle cells resulted in the rescue of 10-20% additional proteins in the identified molecular networks relevant to muscle differentiation. We conclude that PolySTest is a valuable addition to existing tools and instrument enhancements that improve coverage and depth of large-scale proteomics experiments. A fully functional demo version of PolySTest and Miss test is available via http://computproteomics.bmb.sdu.dk/Apps/PolySTest.

The Hypoxic Proteome and Metabolome of Barley (Hordeum vulgare L.) with and without Phytoglobin Priming.

Overexpression of phytoglobins (formerly plant hemoglobins) increases the survival rate of plant tissues under hypoxia stress by the following two known mechanisms: (1) scavenging of nitric oxide (NO) in the phytoglobin/NO cycle and (2) mimicking ethylene priming to hypoxia when NO scavenging activates transcription factors that are regulated by levels of NO and O2 in the N-end rule pathway. To map the cellular and metabolic effects of hypoxia in barley (Hordeum vulgare L., cv. Golden Promise), with or without priming to hypoxia, we studied the proteome and metabolome of wild type (WT) and hemoglobin overexpressing (HO) plants in normoxia and after 24 h hypoxia (WT24, HO24). The WT plants were more susceptible to hypoxia than HO plants. The chlorophyll a + b content was lowered by 50% and biomass by 30% in WT24 compared to WT, while HO plants were unaffected. We observed an increase in ROS production during hypoxia treatment in WT seedlings that was not observed in HO seedlings. We identified and quantified 9694 proteins out of which 1107 changed significantly in abundance. Many proteins, such as ion transporters, Ca2+-signal transduction, and proteins related to protein degradation were downregulated in HO plants during hypoxia, but not in WT plants. Changes in the levels of histones indicates that chromatin restructuring plays a role in the priming of hypoxia. We also identified and quantified 1470 metabolites, of which the abundance of >500 changed significantly. In summary the data confirm known mechanisms of hypoxia priming by ethylene priming and N-end rule activation; however, the data also indicate the existence of other mechanisms for hypoxia priming in plants.