A combinatorial approach of Proteomics and Systems Biology in unravelling the mechanisms of acute kidney injury (AKI): involvement of NMDA receptor GRIN1 in murine AKI

BACKGROUND: Acute kidney injury (AKI) is a frequent condition in hospitalised patients undergoing major surgery or the critically ill and is associated with increased mortality. Based on the volume of the published literature addressing this condition, reporting both supporting as well as conflicting molecular evidence, it is apparent that a comprehensive analysis strategy is required to understand and fully delineate molecular events and pathways which can be used to describe disease induction and progression as well as lead to a more targeted approach in intervention therapies.<p></p> RESULTS: We used a Systems Biology approach coupled with a de-novo high-resolution proteomic analysis of kidney cortex samples from a mouse model of folic acid-induced AKI (12 animals in total) and show comprehensive mapping of signalling cascades, gene activation events and metabolite interference by mapping high-resolution proteomic datasets onto a de-novo hypothesis-free dataspace. The findings support the involvement of the glutamatergic signalling system in AKI, induced by over-activation of the N-methyl-D-aspartate (NMDA)-receptor leading to apoptosis and necrosis by Ca2+-influx, calpain and caspase activation, and co-occurring reactive oxygen species (ROS) production to DNA fragmentation and NAD-rundown. The specific over-activation of the NMDA receptor may be triggered by the p53-induced protein kinase Dapk1, which is a known non-reversible cell death inducer in a neurological context. The pathway mapping is consistent with the involvement of the Renin-Angiotensin Aldosterone System (RAAS), corticoid and TNFalpha signalling, leading to ROS production and gene activation through NFkappaB, PPARgamma, SMAD and HIF1alpha trans-activation, as well as p53 signalling cascade activation. Key elements of the RAAS-glutamatergic axis were assembled as a novel hypothetical pathway and validated by immunohistochemistry.<p></p> CONCLUSIONS: This study shows to our knowledge for the first time in a molecular signal transduction pathway map how AKI is induced, progresses through specific signalling cascades that may lead to end-effects such as apoptosis and necrosis by uncoupling of the NMDA receptor. Our results can potentially pave the way for a targeted pharmacological intervention in disease progression or induction.<p></p&gt

EPMA position paper in cancer:current overview and future perspectives

At present, a radical shift in cancer treatment is occurring in terms of predictive, preventive, and personalized medicine (PPPM). Individual patients will participate in more aspects of their healthcare. During the development of PPPM, many rapid, specific, and sensitive new methods for earlier detection of cancer will result in more efficient management of the patient and hence a better quality of life. Coordination of the various activities among different healthcare professionals in primary, secondary, and tertiary care requires well-defined competencies, implementation of training and educational programs, sharing of data, and harmonized guidelines. In this position paper, the current knowledge to understand cancer predisposition and risk factors, the cellular biology of cancer, predictive markers and treatment outcome, the improvement in technologies in screening and diagnosis, and provision of better drug development solutions are discussed in the context of a better implementation of personalized medicine. Recognition of the major risk factors for cancer initiation is the key for preventive strategies (EPMA J. 4(1):6, 2013). Of interest, cancer predisposing syndromes in particular the monogenic subtypes that lead to cancer progression are well defined and one should focus on implementation strategies to identify individuals at risk to allow preventive measures and early screening/diagnosis. Implementation of such measures is disturbed by improper use of the data, with breach of data protection as one of the risks to be heavily controlled. Population screening requires in depth cost-benefit analysis to justify healthcare costs, and the parameters screened should provide information that allow an actionable and deliverable solution, for better healthcare provision

Tear fluid biomarkers in ocular and systemic disease: potential use for predictive, preventive and personalised medicine

In the field of predictive, preventive and personalised medicine, researchers are keen to identify novel and reliable ways to predict and diagnose disease, as well as to monitor patient response to therapeutic agents. In the last decade alone, the sensitivity of profiling technologies has undergone huge improvements in detection sensitivity, thus allowing quantification of minute samples, for example body fluids that were previously difficult to assay. As a consequence, there has been a huge increase in tear fluid investigation, predominantly in the field of ocular surface disease. As tears are a more accessible and less complex body fluid (than serum or plasma) and sampling is much less invasive, research is starting to focus on how disease processes affect the proteomic, lipidomic and metabolomic composition of the tear film. By determining compositional changes to tear profiles, crucial pathways in disease progression may be identified, allowing for more predictive and personalised therapy of the individual. This article will provide an overview of the various putative tear fluid biomarkers that have been identified to date, ranging from ocular surface disease and retinopathies to cancer and multiple sclerosis. Putative tear fluid biomarkers of ocular disorders, as well as the more recent field of systemic disease biomarkers, will be shown

Two intracellular and cell type-specific bacterial symbionts in the placozoan Trichoplax H2

Placozoa is an enigmatic phylum of simple, microscopic, marine metazoans(1,2). Although intracellular bacteria have been found in all members of this phylum, almost nothing is known about their identity, location and interactions with their host(3-6). We used metagenomic and metatranscriptomic sequencing of single host individuals, plus metaproteomic and imaging analyses, to show that the placozoan Trichoplax sp. H2 lives in symbiosis with two intracellular bacteria. One symbiont forms an undescribed genus in the Midichloriaceae (Rickettsiales)(7,8) and has a genomic repertoire similar to that of rickettsial parasites(9,10), but does not seem to express key genes for energy parasitism. Correlative image analyses and three-dimensional electron tomography revealed that this symbiont resides in the rough endoplasmic reticulum of its host's internal fibre cells. The second symbiont belongs to the Margulisbacteria, a phylum without cultured representatives and not known to form intracellular associations(11-13). This symbiont lives in the ventral epithelial cells of Trichoplax, probably metabolizes algal lipids digested by its host and has the capacity to supplement the placozoan's nutrition. Our study shows that one of the simplest animals has evolved highly specific and intimate associations with symbiotic, intracellular bacteria and highlights that symbioses can provide access to otherwise elusive microbial dark matter

Molecular Response of Retinal Pigment Epithelial Cells to Oxidized Lipoproteins: Global and Targeted Studies

Global-scale examinations of biological systems at the molecular level complement targeted approaches to scientific inquiry that focus on specific subsets of biomolecules, or on a single molecule of interest. In this dissertation, we utilized both the discovery-based approach to evaluate the proteomics workflows centered around mass spectrometry as the key technology, and the targeted approach to examine the molecular response of RPE due to oxidized lipoproteins (oxLDL) treatments. A crucial aspect in proteomics studies is the design of bioanalytical strategies that maximize coverage of the complex repertoire of a proteome. A comprehensive, unbiased examination of the proteome represents a powerful approach toward system-level insights into disease mechanisms. We evaluated the performance of bioanalytical platforms for profiling of the proteome in a biological system. We applied a discovery-based approach to evaluate the global transcriptome and proteome changes due to oxLDL treatment in ARPE-19 cells. We studied the role of scavenger receptors CD36 and CD5L/AIM in ARPE-19 cells when induced with oxLDL. We compared three different multidimensional proteome fractionation platforms: polymeric reversed-phase liquid chromatography at high pH (PLRP), sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), and isoelectric focusing (IEF) separations. We applied a liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) in a data-dependent setting and used bioinformatics for protein identification. The three platforms identified a total of 1043 proteins altogether. Among the three bioanalytical strategies, SDS-PAGE followed by LC-MS/MS provided the best coverage. We also evaluated another bioanalytical platform which consists of a highresolution mass spectrometer combined with nano-UPLC in a data-independent setting without pre-fractionation for oxLDL mediated proteome alteration in ARPE-19 cells. This platform outperformed the SDS-PAGE based analytical platform in terms of proteome coverage as it identified around 2500 proteins, ca. 3-fold more proteins than the latter. Most importantly, this platform was able to perform label free quantification of differentially expressed proteome alteration. The platforms identified proteins with diverse physicochemical characteristics involved in various functional roles within the biological system. Furthermore, we carried out the first comparative transcriptomic and proteomic study for the evaluation of oxLDL effects on ARPE-19 cells after a 4 h exposure. The treatment with oxLDL affected the regulation of more than 700 genes that were involved in regulation of cell cycle, oxidative stress, cholesterol efflux, circadian rhythm, NRF-2 pathways. However, LDL treatment alone did not induce the regulation of these pathways. The differential proteomic analysis found 41 proteins affected due to the oxLDL treatment. This study provided a foundation for a bioanalytical platform for identification and label-free quantification in the human retinal pigment epithelial cells (ARPE-19) proteome. The list of differentially expressed proteins due to oxLDL treatment identified in this study gives insights to the change in proteins that might be interrogated for their roles in pathogenesis of macular degeneration. These findings could give us targets to intervene in the pathogenesis of AMD progression in human for the development of better treatment and prevention against this degenerative disease. Lastly, we studied the mechanistic role of scavenger receptors CD36 and CD5L/AIM in oxLDL uptake by ARPE-19 cells. We, for the first time, demonstrated the presence of scavenger receptor CD5L in ARPE-19 cell. The oxLDL uptake was primarily dependent on CD36, and both the CD5L/AIM and CD36 were seen to co-localize in the presence of oxLDL. Our results suggest a new dynamics on CD5L/AIM on the oxLDL uptake that was not seen in macrophages. The reduction in intracellular accumulation of oxLDL in the presence of extracellular recombinant CD5L/AIM is an interesting phenomenon as it has been recently shown the involvement of CD5L/AIM in autophagy

Proteomics and network analysis identify common and specific pathways of neurodegeneration

Neurodegenerative disorders, such as Parkinson's disease (PD), Alzheimer's disease (AD) and amyotrophic lateral sclerosis (ALS) are multi-factorial in nature, involving several genetic mutations (in coding or regulatory regions) and epigenetic and environmental factors. The main clinical manifestation (movement disorders, cognitive impairment and/or psychiatric disturbances) depends on the neuron population being primarily affected. Complex and multifactorial neurodegenerative diseases can be investigated using a holistic approach that can give a global view about the pathogenetic process and shed light on specific and generic pathways of neurodegeneration. Proteomics offers a global molecular snapshot of proteins and consequently of processes that may influence neuronal death. The proteome in fact provides a dynamic view of what is happening in the system under investigation, because the expression of proteins, their abundance, their localization in tissues or cells, the type and amount of their post-translational changes depend from the environment and from the cellular physiological state. Therefore, all the projects presented in this thesis, by combining bioinformatics tools with proteomics, aimed at highlighting biochemical processes shared by different neurodegenerative diseases and diseasespecific pathways, which may justify the degeneration of dopaminergic neurons in PD. Finally, a focus on the mitochondrial interactome and proteome intended to elucidate important specific steps of the degenerative process in PD

Community standards for open cell migration data

Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited owing to the diversity of experimental protocols and non-standardized output formats. In addition, typically the datasets are not open for reuse. Making the data open and Findable, Accessible, Interoperable, and Reusable (FAIR) will enable meta-analysis, data integration, and data mining. Standardized data formats and controlled vocabularies are essential for building a suitable infrastructure for that purpose but are not available in the cell migration domain. We here present standardization efforts by the Cell Migration Standardisation Organisation (CMSO), an open community-driven organization to facilitate the development of standards for cell migration data. This work will foster the development of improved algorithms and tools and enable secondary analysis of public datasets, ultimately unlocking new knowledge of the complex biological process of cell migration

A Novel Peptide-Based SILAC Method to Identify the Posttranslational Modifications Provides Evidence for Unconventional Ubiquitination in the ER-Associated Degradation Pathway.

The endoplasmic reticulum-associated degradation (ERAD) pathway is responsible for disposing misfolded proteins from the endoplasmic reticulum by inducing their ubiquitination and degradation. Ubiquitination is conventionally observed on lysine residues and has been demonstrated on cysteine residues and protein N-termini. Ubiquitination is fundamental to the ERAD process; however, a mutant T-cell receptor α (TCRα) lacking lysine residues is targeted for the degradation by the ERAD pathway. We have shown that ubiquitination of lysine-less TCRα occurs on internal, non-lysine residues and that the same E3 ligase conjugates ubiquitin to TCRα in the presence or absence of lysine residues. Mass-spectrometry indicates that WT-TCRα is ubiquitinated on multiple lysine residues. Recent publications have provided indirect evidence that serine and threonine residues may be modified by ubiquitin. Using a novel peptide-based stable isotope labeling in cell culture (SILAC) approach, we show that specific lysine-less TCRα peptides become modified. In this study, we demonstrate that it is possible to detect both ester and thioester based ubiquitination events, although the exact linkage on lysine-less TCRα remains elusive. These findings demonstrate that SILAC can be used as a tool to identify modified peptides, even those with novel modifications that may not be detected using conventional proteomic work flows or informatics algorithms

Broad and thematic remodeling of the surfaceome and glycoproteome on isogenic cells transformed with driving proliferative oncogenes.

The cell surface proteome, the surfaceome, is the interface for engaging the extracellular space in normal and cancer cells. Here we apply quantitative proteomics of N-linked glycoproteins to reveal how a collection of some 700 surface proteins is dramatically remodeled in an isogenic breast epithelial cell line stably expressing any of six of the most prominent proliferative oncogenes, including the receptor tyrosine kinases, EGFR and HER2, and downstream signaling partners such as KRAS, BRAF, MEK, and AKT. We find that each oncogene has somewhat different surfaceomes, but the functions of these proteins are harmonized by common biological themes including up-regulation of nutrient transporters, down-regulation of adhesion molecules and tumor suppressing phosphatases, and alteration in immune modulators. Addition of a potent MEK inhibitor that blocks MAPK signaling brings each oncogene-induced surfaceome back to a common state reflecting the strong dependence of the oncogene on the MAPK pathway to propagate signaling. Cell surface protein capture is mediated by covalent tagging of surface glycans, yet current methods do not afford sequencing of intact glycopeptides. Thus, we complement the surfaceome data with whole cell glycoproteomics enabled by a recently developed technique called activated ion electron transfer dissociation (AI-ETD). We found massive oncogene-induced changes to the glycoproteome and differential increases in complex hybrid glycans, especially for KRAS and HER2 oncogenes. Overall, these studies provide a broad systems-level view of how specific driver oncogenes remodel the surfaceome and the glycoproteome in a cell autologous fashion, and suggest possible surface targets, and combinations thereof, for drug and biomarker discovery