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Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive degeneration of the corticospinal motor neurons, which ultimately leads to death. The repeat expansion in chromosome 9 open reading frame 72 ( C9ORF72 ) represents the most common genetic cause of ALS and it is also involved in the pathogenesis of other neurodegenerative disorders. To offer insights into C9ORF72 -mediated pathogenesis, we quantitatively analyzed the proteome of patient-derived primary skin fibroblasts from ALS patients carrying the C9ORF72 mutation compared with ALS patients who tested negative for it. Differentially expressed proteins were identified, used to generate a protein-protein interaction network and subjected to a functional enrichment analysis to unveil altered molecular pathways. ALS patients were also compared with patients affected by frontotemporal dementia carrying the C9ORF72 repeat expansion. As a result, we demonstrated that the molecular pathways mainly altered in fibroblasts (e.g., protein homeostasis) mirror the alterations observed in C9ORF72 -mutated neurons. Moreover, we highlighted novel molecular pathways (nuclear and mitochondrial transports, vesicle trafficking, mitochondrial bioenergetics, glucose metabolism, ER-phagosome crosstalk and Slit/Robo signaling pathway) which might be further investigated as C9ORF72 -specific pathogenetic mechanisms. Data are available via ProteomeXchange with the identifier PXD023866.

Background: Malignant pleural mesothelioma (MPM) a rare neoplasm linked to asbestos exposure is characterized by a poor prognosis. Soluble mesothelin is currently considered the most specific diagnostic biomarker. The aim of the study was to identify novel biomarkers by proteomic analysis of two MPM cell lines secretome., Materials and Methods: The protein patterns of MPM cells secretome were examined and compared to a non-malignant mesothelial cell line using two-dimensional gel electrophoresis coupled to mass spectrometry. Serum levels of candidate biomarkers were determined in MPM patients and control subjects., Results: Two up-regulated proteins involved in cancer biology, prosaposin and quiescin Q6 sulfhydryl oxidase 1, were considered candidate biomarkers. Serum levels of both proteins were significantly higher in MPM patients than control subjects. Combining the data of each receiver-operating characteristic analysis predicted a good diagnostic accuracy., Conclusion: A panel of the putative biomarkers represents a promising tool for MPM diagnosis., (Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Mitochondria are undeniably the cell powerhouse, directly affecting cell survival and fate. Growing evidence suggest that mitochondrial protein repertoire affects metabolic activity and plays an important role in determining cell proliferation/differentiation or quiescence shift. Consequently, the bioenergetic status of a cell is associated with the quality and abundance of the mitochondrial populations and proteomes. Mitochondrial morphology changes in the development of different cellular functions associated with metabolic switches. It is therefore reasonable to speculate that different cell lines do contain different mitochondrial-associated proteins, and the investigation of these pools may well represent a source for mining missing proteins (MPs). A very effective approach to increase the number of IDs through mass spectrometry consists of reducing the complexity of the biological samples by fractionation. The present study aims at investigating the mitochondrial proteome of five phenotypically different cell lines, possibly expressing some of the MPs, through an enrichment-fractionation approach at the organelle and protein level. We demonstrate a substantial increase in the proteome coverage, which, in turn, increases the likelihood of detecting low abundant proteins, often falling in the category of MPs, and resulting, for the present study, in the identification of METTL12, FAM163A, and RGS13. All MS data have been deposited to the MassIVE data repository ( https://massive.ucsd.edu ) with the data set identifier MSV000082409 and PXD010446.

The Mitochondrial Human Proteome Project aims at understanding the function of the mitochondrial proteome and its crosstalk with the proteome of other organelles. Being able to choose a suitable and validated enrichment protocol of functional mitochondria, based on the specific needs of the downstream proteomics analysis, would greatly help the researchers in the field. Mitochondrial fractions from ten model cell lines were prepared using three enrichment protocols and analyzed on seven different LC-MS/MS platforms. All data were processed using neXtProt as reference database. The data are available for the Human Proteome Project purposes through the ProteomeXchange Consortium with the identifier PXD007053. The processed data sets were analyzed using a suite of R routines to perform a statistical analysis and to retrieve subcellular and submitochondrial localizations. Although the overall number of identified total and mitochondrial proteins was not significantly dependent on the enrichment protocol, specific line to line differences were observed. Moreover, the protein lists were mapped to a network representing the functional mitochondrial proteome, encompassing mitochondrial proteins and their first interactors. More than 80% of the identified proteins resulted in nodes of this network but with a different ability in coisolating mitochondria-associated structures for each enrichment protocol/cell line pair.

Blood proteome analysis for biomarker discovery represents one of the most challenging tasks to be achieved through clinical proteomics due to the sample complexity, such as the extreme heterogeneity of proteins in very dynamic concentrations, and to the observation of proper sampling and storage conditions. Quantitative and qualitative proteomics profiling of plasma and serum could be useful both for the early detection of diseases and for the evaluation of pathological status. Two main sources of variability can affect the precision and accuracy of the quantitative experiments designed for biomarker discovery and validation. These sources are divided into two categories, pre-analytical and analytical, and are often ignored; however, they can contribute to consistent errors and misunderstanding in biomarker research. In this chapter, we review critical pre-analytical and analytical variables that can influence quantitative proteomics. According to guidelines accepted by proteomics community, we propose some recommendations and strategies for a proper proteomics analysis addressed to biomarker studies.

The retention of a number of solutes that may cause adverse biochemical/biological effects, called uremic toxins, characterizes uremic syndrome. Uremia therapy is based on renal replacement therapy, hemodialysis being the most commonly used modality. The membrane contained in the hemodialyzer represents the ultimate determinant of the success and quality of hemodialysis therapy. Membrane's performance can be evaluated in terms of removal efficiency for unwanted solutes and excess fluid, and minimization of negative interactions between the membrane material and blood components that define the membrane's bio(in)compatibility. Given the high concentration of plasma proteins and the complexity of structural functional relationships of this class of molecules, the performance of a membrane is highly influenced by its interaction with the plasma protein repertoire. Proteomic investigations have been increasingly applied to describe the protein uremic milieu, to compare the blood purification efficiency of different dialyzer membranes or different extracorporeal techniques, and to evaluate the adsorption of plasma proteins onto hemodialysis membranes. In this article, we aim to highlight investigations in the hemodialysis setting making use of recent developments in proteomic technologies. Examples are presented of why proteomics may be helpful to nephrology and may possibly affect future directions in renal research.

Human medulloblastoma (MB) is a malignant brain tumor that comprises four distinct molecular subgroups including the Sonic Hedgehog (SHH)-MB group. A leading cause of the SHH subgroup is an aberrant activation of the SHH pathway, a developmental signaling that regulates postnatal development of the cerebellum by promoting the mitotic expansion of granule neural precursors (GNPs) in the external granule layer (EGL). The abnormal SHH signaling pathway drives not only SHH-MB but also its cancer stem-like cells (SLCs), which represent a fraction of the tumor cell population that maintain cancer growth and have been associated with high grade tumors. Here, we report the first proteomic analysis of human SHH-MB SLCs before and after Retinoic Acid (RA)-induced differentiation. A total of 994 nLC-MS buckets were statistically analysed returning 68 modulated proteins between SLCs and their differentiated counterparts. Heat Shock Protein 70 (Hsp70) was one of the proteins that characterized the protein profile of SLCs. By means of Ingenuity Pathway Analysis (IPA), Genomatix analysis and extending the network obtained using the differentially expressed proteins we found a correlation between Hsp70 and the NF-κB complex. A key driver of the SHH-MB group is cMET whose downstream proliferation/survival signalling is indeed via PI3K/Akt/NF-κB. We confirmed the results of the proteomic analysis by western blot, underlining that a P-p65/NF-κB activatory complex is highly expressed in SLCs. Taking together these results we define a new protein feature of SHH-MB SLCs.

Prolonged exposure to palmitate impairs insulin secretion and leads to beta-cell death. Some evidence suggests that palmitate could induce these effects through defects in mitochondrial function. However, the mechanisms of lipotoxicity are not well understood. In particular, little is known about mitochondrial response to induced-palmitate stress and the mechanisms through which glucagon-like peptide-1 (GLP-1) exerts its potential protective effect in beta-cell mitochondrial dysfunction. The aim of this study was to analyze the protein expression profiles of enriched mitochondrial preparations of INS-1E beta-cells treated with palmitate in the presence and in the absence of GLP-1 using gel-based and gel-free proteomic approaches. INS1E beta-cells were incubated in the presence of 0.5 mM palmitate for 24 h, in the presence and in the absence of 10 nM GLP-1, and mitochondria were isolated. Co-incubation of palmitate-treated beta-cell lines with GLP-1 identified several GLP-1 responsive mitochondrial proteins from different functional classes indicating major changes in ATP production, oxidative stress, apoptosis, lipid and amino acid metabolism. Moreover, an interaction network analysis of proteins and metabolites found to be differentially expressed has been performed to understand the pathways involved in the palmitate and GLP-1 activity at the mitochondrial level. In summary, our results provided a snapshot of mitochondrial proteins and potential pathways affected by palmitate treatment and gave us information on the potential protective role of GLP-1.

In order to characterize newborn mouse gut microbiota phylotypes in very early-life stages, an original metaproteomic pipeline, based on LC-MS(2)-spectra and Mascot driven NCBI non-redundant repository database interrogation was developed. An original computational analysis assisted in the generation of a taxonomic gut architecture from protein hits to operational taxonomic units (OTUs) and related functional categories. Regardless of the mouse's genetic background, a prevalence of Firmicutes (Lactobacillaceae) and Proteobacteria (Enterobacteriaceae) was observed among the entire Eubacteria taxonomic node. However, a higher abundance of Firmicutes was retrieved for Balb/c gut microbiota compared to Rag2(ko) mice, the latter was mainly characterized by a Proteobacteria enriched microbiota. The metaproteomic-obtained OTUs were supported, for the identification (ID) of the cultivable bacteria fraction, corroborated by axenic culture-based MALDI-TOF MS IDs. Particularly, functional analysis of Rag2(ko) mice gut microbiota proteins revealed the presence of abundant glutathione, riboflavin metabolism and pentose phosphate pathway components, possibly related to genetic background. The metaproteomic pipeline herein presented may represent a useful tool to investigate the highly debated onset of the human gut microbiota in the first days of life, when the bacterial composition, despite its very low diversity (complexity), is still very far from an exhaustive description and other complex microbial consortia., Biological Significance: The manuscript deals with a "frontier" topic regarding the study of the gut microbiota and the application of a metaproteomic pipeline to unveil the complexity of this fascinating ecosystem at the very early stages of life. Indeed during these phases, its diversity is very low but the bacterial content is highly "instable", and the relative balance between mucosal and fecal bacteria starts its dynamics of "fight" to get homeostasis. However, in the neonatal period, especially immediately after birth, a comprehensive description of this microbial eco-organ is still lacking, while it should be mandatory to highlight its first mechanisms of homeostasis and perturbation, while it co-develops with and within the host species. In order to unravel its low but almost unknown microbial community multiplicity, the newborn mouse gut, characterized by a "very" low complexity, was herein selected as model to design a LC-MS(2)-based shotgun metaproteomic approach, potentially suitable to study onset and shaping in human newborns. A microbiological semi-automatic computational analysis was performed to infer gut phylotypes; such as proof of evidence, related OTUs were compared to axenic-culture-based MALDI-TOF MS IDs showing consistency at family and phyla levels for the bacterial cultivable fraction. This article is part of a Special Issue entitled: Trends in Microbial Proteomics., (© 2013. Published by Elsevier B.V. All rights reserved.)

Neuroblastoma is one of the most aggressive solid tumors in the childhood. Therapy resistance to anticancer drugs represents the major limitation to the effectiveness of clinical treatment. To better understand the mechanisms underlying cisplatin resistance, we performed a comparative proteomic study of the human neuroblastoma cell line SH-SY5Y and its cisplatin resistant counterpart by both the classical 2-DE electrophoresis coupled to mass spectrometry and the more innovative label-free nLC-MS(E). The differentially expressed proteins were classified by bioinformatic tools according to their biological functions and their involvement in several cellular processes. Moreover, a meta-mining investigation of protein ontologies was also performed on available data from previously published proteomics studies to highlight the modulation of significant cellular pathways, which may regulate the sensitivity of neuroblastoma to cisplatin. In particular, we hypothesized a major role of the transcription factor nuclear factor-erythroid 2-related factor 2 (Nrf2) pathway. Confocal microscopy experiments, enzyme assay, and Western blotting of proteins regulated by Nrf2 provided evidences that this pathway, playing a protective role in normal cells, may represent a potential novel target to control cisplatin resistance in neuroblastoma.