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SDHD encodes subunit D of the succinate dehydrogenase complex, an integral membrane protein. Across cancer types, recurrent SDHD promoter mutations were reported to occur exclusively in melanomas, at a frequency of 4% to 5%. These mutations are predicted to disrupt consensus ETS transcription factor–binding sites and are correlated with both reduced SDHD gene expression and poor prognosis. However, the consequence of these mutations on SDHD expression in melanoma is still unclear. Here, we found that expression of SDHD in melanoma correlated with the expression of multiple ETS transcription factors, particularly in SDHD promoter wild-type samples. Consistent with the predicted loss of ETS transcription factor binding, we observed that recurrent hotspot mutations resulted in decreased luciferase activity in reporter assays. Furthermore, we demonstrated specific GABPA and GABPB1 binding to probes containing the wild-type promoter sequences, with binding disrupted by the SDHD hotspot promoter mutations in both quantitative mass spectrometry and band-shift experiments. Finally, using siRNA-mediated knockdown across multiple melanoma cell lines, we determined that loss of GABPA resulted in reduced SDHD expression at both RNA and protein levels. These data are consistent with a key role for GABPA/B1 as the critical ETS transcription factors deregulating SDHD expression in the context of highly recurrent promoter mutations in melanoma and warrant a detailed search for other recurrent promoter mutations that create or disrupt GABPA consensus sequences. Cancer Res; 77(7); 1649–61. ©2017 AACR.

Supplementary Figure 1. Confirmation of the recurrent C524, C541 and C544 SDHD promoter mutations in melanoma cell lines via Sanger sequencing. Supplementary Figure 2. Expression of SDHD in melanomas harboring promoter mutations compared to SDHD wild-type samples across TCGA samples. Supplementary Figure 3. Luciferase reporter assays for the C541T and C544T SDHD hotspot promoter mutations in multiple melanoma cell lines. Supplementary Figure 4. Prediction of the consequences of the C541T and C544T SDHD promoter mutations on transcription factor binding. Supplementary Figure 5. mRNA expression correlation between SDHD and multiple ETS transcription factors in TCGA SKCM samples harboring the SDHD C523T promoter mutation. Supplementary Figure 6. Band-shift analysis of recombinant human ELF1 binding to wild-type and C523T, C524T, C541T, and C544T SDHD promoter sequences. Supplementary Figure 7. Effect of siRNA-mediated knockdown of ELF1 on SDHD expression in melanoma cells. Supplementary Figure 8. Effect of siRNA-mediated knockdown of PRDM1 or IRF4 on SDHD expression and SDHD promoter activity in melanoma cells. Supplementary Table 1. SDHD promoter mutations identified in melanoma tumors datasets (TCGA, Broad and Yale) and melanoma cell lines. Supplementary Table 2. MotifBreakR results predicting the effects of recurrent SDHD promoter mutations (C523T, C524T, C541T, C544T, and C548T) on transcription factor binding sites. Supplementary Table 3. Oligonucleotide design for quantitative mass spectrometry.

The human plasma glycoproteome holds enormous potential to identify personalized biomarkers to diagnose and understand disease. Recent advances in mass spectrometry and software development are opening novel avenues to mine the glycoproteome for protein- and site-specific glycosylation changes. Here, we describe a novel plasma N-glycoproteomics method for disease diagnosis and evaluated its clinical applicability by performing comparative glycoproteomics in blood plasma of 40 controls and a cohort of 74 patients with 13 different genetic diseases that directly impact the protein N-glycosylation pathway. The plasma glycoproteome yielded high-specificity biomarker signatures for each of the individual genetic defects. Bioinformatic analyses revealed site-specific glycosylation differences that could be explained by underlying glycobiology and in specific diseases by protein-intrinsic factors. Our work illustrates the strong potential of plasma glycoproteomics to significantly increase specificity of glycoprotein biomarkers with direct insights in site-specific glycosylation changes to better understand the mechanisms underlying human disease.

Contains fulltext : 244088.pdf (Publisher’s version ) (Open Access) Age-related macular degeneration (AMD) is a major cause of vision loss among the elderly in the Western world. The complement system has been identified as one of the main AMD disease pathways. We performed a comprehensive expression analysis of 32 complement proteins in plasma samples of 255 AMD patients and 221 control individuals using mass spectrometry-based semi-quantitative multiplex profiling. We detected significant associations of complement protein levels with age, sex and body-mass index (BMI), and potential associations of C-reactive protein, factor H related-2 (FHR-2) and collectin-11 with AMD. In addition, we confirmed previously described associations and identified new associations of AMD variants with complement levels. New associations include increased C4 levels for rs181705462 at the C2/CFB locus, decreased vitronectin (VTN) levels for rs11080055 at the TMEM97/VTN locus and decreased factor I levels for rs10033900 at the CFI locus. Finally, we detected significant associations between AMD-associated metabolites and complement proteins in plasma. The most significant complement-metabolite associations included increased high density lipoprotein (HDL) subparticle levels with decreased C3, factor H (FH) and VTN levels. The results of our study indicate that demographic factors, genetic variants and circulating metabolites are associated with complement protein components. We suggest that these factors should be considered to design personalized treatment approaches and to increase the success of clinical trials targeting the complement system.

Age-related macular degeneration (AMD) is the principal cause of blindness in the elderly population. A strong effect on AMD risk has been reported for genetic variants at the CFH locus, encompassing complement factor H (CFH) and the complement-factor-H-related (CFHR) genes, but the underlying mechanisms are not fully understood. We aimed to dissect the role of factor H (FH) and FH-related (FHR) proteins in AMD in a cohort of 202 controls and 216 individuals with AMD. We detected elevated systemic levels of FHR-1 (p = 1.84 x 10(-6)), FHR-2 (p = 1.47 x 10(-4)), FHR-3 (p = 1.05 x 10(-5)) and FHR-4A (p = 1.22 x 10(-2)) in AMD, whereas FH concentrations remained unchanged. Common AMD genetic variants and haplotypes at the CFH locus strongly associated with FHR protein concentrations (e.g., FH p.Tyr402His and FHR-2 concentrations, p = 3.68 x 10(-17)), whereas the association with FH concentrations was limited. Furthermore, in an International AMD Genomics Consortium cohort of 17,596 controls and 15,894 individuals with AMD, we found that low-frequency and rare protein-altering CFHR2 and CFHR5 variants associated with AMD independently of all previously reported genome-wide association study (GWAS) signals (p = 5.03 x 10(-3) and p = 2.81 x 10(-6), respectively). Low-frequency variants in CFHR2 and CFHR5 led to reduced or absent FHR-2 and FHR-5 concentrations (e.g., p.Cys72Tyr in CFHR2 and FHR-2, p = 2.46 x 10(-16)). Finally, we showed localization of FHR-2 and FHR-5 in the choriocapillaris and in drusen. Our study identifies FHR proteins as key proteins in the AMD disease mechanism. Consequently, therapies that modulate FHR proteins might be effective for treating or preventing progression of AMD. Such therapies could target specific individuals with AMD on the basis of their genotypes at the CFH locus.

Objectives Complement deficiencies are difficult to diagnose because of the variability of symptoms and the complexity of the diagnostic process. Here, we applied a novel ‘complementomics’ approach to study the impact of various complement deficiencies on circulating complement levels. Methods Using a quantitative multiplex mass spectrometry assay, we analysed 44 peptides to profile 34 complement proteins simultaneously in 40 healthy controls and 83 individuals with a diagnosed deficiency or a potential pathogenic variant in 14 different complement proteins. Results Apart from confirming near or total absence of the respective protein in plasma of complement‐deficient patients, this mass spectrometry‐based profiling method led to the identification of additional deficiencies. In many cases, partial depletion of the pathway up‐ and/or downstream of the absent protein was measured. This was especially found in patients deficient for complement inhibitors, such as angioedema patients with a C1‐inhibitor deficiency. The added value of complementomics was shown in three patients with poorly defined complement deficiencies. Conclusion Our study shows the potential clinical utility of profiling circulating complement proteins as a comprehensive read‐out of various complement deficiencies. Particularly, our approach provides insight into the intricate interplay between complement proteins due to functional coupling, which contributes to the better understanding of the various disease phenotypes and improvement of care for patients with complement‐mediated diseases., In this study, we measured the ‘complementome’ of 83 individuals with various complement deficiencies by means of a quantitative multiplex mass spectrometry‐based assay. We found distinct profiles that provided better insight in the intricate interplay between complement proteins. The potential clinical utility of this approach was shown for three patients with poorly defined complement deficiencies.

Background The complement system is a central component of the innate immune system. Constitutive biosynthesis of complement proteins is essential for homeostasis. Dysregulation as a consequence of genetic or environmental cues can lead to inflammatory syndromes or increased susceptibility to infection. However, very little is known about steady state levels in children or its kinetics during infection. Methods With a newly developed multiplex mass spectrometry-based method we analyzed the levels of 32 complement proteins in healthy individuals and in a group of pediatric patients infected with bacterial or viral pathogens. Findings In plasma from young infants we found reduced levels of C4BP, ficolin-3, factor B, classical pathway components C1QA, C1QB, C1QC, C1R, and terminal pathway components C5, C8, C9, as compared to healthy adults; whereas the majority of complement regulating (inhibitory) proteins reach adult levels at very young age. Both viral and bacterial infections in children generally lead to a slight overall increase in complement levels, with some exceptions. The kinetics of complement levels during invasive bacterial infections only showed minor changes, except for a significant increase and decrease of CRP and clusterin, respectively. Interpretation The combination of lower levels of activating and higher levels of regulating complement proteins, would potentially raise the threshold of activation, which might lead to suppressed complement activation in the first phase of life. There is hardly any measurable complement consumption during bacterial or viral infection. Altogether, expression of the complement proteins appears surprisingly stable, which suggests that the system is continuously replenished. Fund European Union's Horizon 2020, project PERFORM, grant agreement No. 668303., Graphical abstract Unlabelled Image

SDHD encodes subunit D of the succinate dehydrogenase complex, an integral membrane protein. Across cancer types, recurrent SDHD promoter mutations were reported to occur exclusively in melanomas, at a frequency of 4% to 5%. These mutations are predicted to disrupt consensus ETS transcription factor–binding sites and are correlated with both reduced SDHD gene expression and poor prognosis. However, the consequence of these mutations on SDHD expression in melanoma is still unclear. Here, we found that expression of SDHD in melanoma correlated with the expression of multiple ETS transcription factors, particularly in SDHD promoter wild-type samples. Consistent with the predicted loss of ETS transcription factor binding, we observed that recurrent hotspot mutations resulted in decreased luciferase activity in reporter assays. Furthermore, we demonstrated specific GABPA and GABPB1 binding to probes containing the wild-type promoter sequences, with binding disrupted by the SDHD hotspot promoter mutations in both quantitative mass spectrometry and band-shift experiments. Finally, using siRNA-mediated knockdown across multiple melanoma cell lines, we determined that loss of GABPA resulted in reduced SDHD expression at both RNA and protein levels. These data are consistent with a key role for GABPA/B1 as the critical ETS transcription factors deregulating SDHD expression in the context of highly recurrent promoter mutations in melanoma and warrant a detailed search for other recurrent promoter mutations that create or disrupt GABPA consensus sequences. Cancer Res; 77(7); 1649–61. ©2017 AACR.

Aberrant telomerase reactivation in differentiated cells represents a major event in oncogenic transformation. Recurrent somatic mutations in the human telomerase reverse transcriptase (TERT) promoter region, predominantly localized to two nucleotide positions, are highly prevalent in many cancer types. Both mutations create novel consensus E26 transformation-specific (ETS) motifs and are associated with increased TERT expression. Here, we perform an unbiased proteome-wide survey of transcription factor binding at TERT promoter mutations in melanoma. We observe ELF1 binding at both mutations in vitro and we show that increased recruitment of GABP is enabled by the spatial architecture of native and novel ETS motifs in the TERT promoter region. We characterize the dynamics of competitive binding between ELF1 and GABP and provide evidence for ELF1 exclusion by transcriptionally active GABP. This study thus provides an important description of proteome-wide, mutation-specific binding at the recurrent, oncogenic TERT promoter mutations.

Abnormal protein glycosylation is observed in many common disorders like cancer, inflammation, Alzheimer's disease and diabetes. However, the actual use of this information in clinical diagnostics is still very limited. Information is usually derived from analysis of total serum N-glycan profiling methods, whereas the current use of glycoprotein biomarkers in the clinical setting is commonly based on protein levels. It can be envisioned that combining protein levels and their glycan isoforms would increase specificity for early diagnosis and therapy monitoring. To establish diagnostic assays, based on the mass spectrometric analysis of protein-specific glycosylation abnormalities, still many technical improvements have to be made. In addition, clinical validation is equally important as well as an understanding of the genetic and environmental factors that determine the protein-specific glycosylation abnormalities. Important lessons can be learned from the group of monogenic disorders in the glycosylation pathway, the Congenital Disorders of Glycosylation (CDG). Now that more and more genetic defects are being unraveled, we start to learn how genetic factors influence glycomics profiles of individual and total serum proteins. Although only in its initial stages, such studies suggest the importance to establish diagnostic assays for protein-specific glycosylation profiling, and the need to look beyond the single glycoprotein diagnostic test. Here, we review progress in and lessons from genetic disease, and review the increasing opportunities of mass spectrometry to analyze protein glycosylation in the clinical diagnostic setting. Furthermore, we will discuss the possibilities to expand current CDG diagnostics and how this can be used to approach glycoprotein biomarkers for more common diseases.

In recent years, cross-linking mass spectrometry has proven to be a robust and effective method of interrogating macromolecular protein complex topologies at peptide resolution. Traditionally, cross-linking mass spectrometry workflows have utilized homogenous complexes obtained through time-limiting reconstitution, tandem affinity purification, and conventional chromatography workflows. Here, we present cross-linking immunoprecipitation-MS (xIP-MS), a simple, rapid, and efficient method for structurally probing chromatin-associated protein complexes using small volumes of mammalian whole cell lysates, single affinity purification, and on-bead cross-linking followed by LC-MS/MS analysis. We first benchmarked xIP-MS using the structurally well-characterized phosphoribosyl pyrophosphate synthetase complex. We then applied xIP-MS to the chromatin-associated cohesin (SMC1A/3), XRCC5/6 (Ku70/86), and MCM complexes, and we provide novel structural and biological insights into their architectures and molecular function. Of note, we use xIP-MS to perform topological studies under cell cycle perturbations, showing that the xIP-MS protocol is sufficiently straightforward and efficient to allow comparative cross-linking experiments. This work, therefore, demonstrates that xIP-MS is a robust, flexible, and widely applicable methodology for interrogating chromatin-associated protein complex architectures.

Industrial Ecology (IE) is an emerging concept for the promotion of environmentally sound manufacturing and consumption. It aims to balance industrial development with the sustainable use of natural resources. This paper proposes a framework for the comparative analysis and evaluation of methods used for the practical implementation of IE in enterprises. The IE tools are organised in a toolbox since it is envisioned that, once the framework has proven to be valuable for the evaluation of past IE activities in enterprises, it may also be of use for the planning of new IE activities in different industrial enterprises. The tools are to enable enterprises to organise their IE efforts, to identify, evaluate and implement environmental improvements in their processes and products as well as in the production chains and industrial sites they are part of, and to evaluate progress in reducing environmental impacts. In this paper, a division into four functional types of tools is made: inventory tools; improvement tools; prioritisation tools; management tools. For each category of tools, several example tools are given. The inter-relatedness of the functional types of tools is briefly addressed and illustrated with practical experiences from the manufacturing industry. It turns out that the limited normalisation of IE tools could act as a barrier for the widespread application of IE. The application of the toolbox for the comparative evaluation of IE tools may catalyse the development of effective tools and generate insight into their most powerful applications. Such insight is in turn needed to use the toolbox for planning of future IE activities in enterprises.