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1.
N-Terminomics/TAILS Profiling of Proteases and Their Substrates in Ulcerative Colitis.
Gordon, MH, Anowai, A, Young, D, Das, N, Campden, RI, Sekhon, H, Myers, Z, Mainoli, B, Chopra, S, Thuy-Boun, PS, et al
ACS chemical biology. 2019;(11):2471-2483
Abstract
Dysregulated protease activity is often implicated in the initiation of inflammation and immune cell recruitment in gastrointestinal inflammatory diseases. Using N-terminomics/TAILS (terminal amine isotopic labeling of substrates), we compared proteases, along with their substrates and inhibitors, between colonic mucosal biopsies of healthy patients and those with ulcerative colitis (UC). Among the 1642 N-termini enriched using TAILS, increased endogenous processing of proteins was identified in UC compared to healthy patients. Changes in the reactome pathways for proteins associated with metabolism, adherens junction proteins (E-cadherin, liver-intestinal cadherin, catenin alpha-1, and catenin delta-1), and neutrophil degranulation were identified between the two groups. Increased neutrophil infiltration and distinct proteases observed in ulcerative colitis may result in extensive break down, altered processing, or increased remodeling of adherens junctions and other cellular functions. Analysis of the preferred proteolytic cleavage sites indicated that the majority of proteolytic activity and processing comes from host proteases, but that key microbial proteases may also play a role in maintaining homeostasis. Thus, the identification of distinct proteases and processing of their substrates improves the understanding of dysregulated proteolysis in normal intestinal physiology and ulcerative colitis.
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2.
Small-protein Enrichment Assay Enables the Rapid, Unbiased Analysis of Over 100 Low Abundance Factors from Human Plasma.
Harney, DJ, Hutchison, AT, Su, Z, Hatchwell, L, Heilbronn, LK, Hocking, S, James, DE, Larance, M
Molecular & cellular proteomics : MCP. 2019;(9):1899-1915
Abstract
Unbiased and sensitive quantification of low abundance small proteins in human plasma (e.g. hormones, immune factors, metabolic regulators) remains an unmet need. These small protein factors are typically analyzed individually and using antibodies that can lack specificity. Mass spectrometry (MS)-based proteomics has the potential to address these problems, however the analysis of plasma by MS is plagued by the extremely large dynamic range of this body fluid, with protein abundances spanning at least 13 orders of magnitude. Here we describe an enrichment assay (SPEA), that greatly simplifies the plasma dynamic range problem by enriching small-proteins of 2-10 kDa, enabling the rapid, specific and sensitive quantification of >100 small-protein factors in a single untargeted LC-MS/MS acquisition. Applying this method to perform deep-proteome profiling of human plasma we identify C5ORF46 as a previously uncharacterized human plasma protein. We further demonstrate the reproducibility of our workflow for low abundance protein analysis using a stable-isotope labeled protein standard of insulin spiked into human plasma. SPEA provides the ability to study numerous important hormones in a single rapid assay, which we applied to study the intermittent fasting response and observed several unexpected changes including decreased plasma abundance of the iron homeostasis regulator hepcidin.
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3.
Quantitative proteomics analysis of vitreous body from type 2 diabetic patients with proliferative diabetic retinopathy.
Li, J, Lu, Q, Lu, P
BMC ophthalmology. 2018;(1):151
Abstract
BACKGROUND To compare the abundance of vitreous proteins between the patients with proliferative diabetic retinopathy (PDR) and idiopathic macular hole (IMH). METHODS In this study, we performed mass spectrometry-based label-free quantitative proteomics analysis of vitreous samples from type 2 diabetic patients with PDR (n = 9) and IMH subjects (n = 9) and identified the abundance of 610 proteins. RESULTS Out of 610 proteins, 64 proteins (Group A) were unique to PDR patients, while 212 proteins (Group B) could be identified in IMH vitreous only. Among the other 334 proteins that could be detected in both PDR and IMH eyes, 62 proteins differed significantly (p < 0.05, fold change > 2), which included 52 proteins (Group C) and 10 proteins (Group D) over- and under-expressed in PDR vitreous compared with the control. All proteins in these four groups were counted as significant proteins in our study. CONCLUSIONS We identified and quantified 610 proteins in total, which included 338 significant proteins in our study. Protein distribution analysis demonstrated a clear separation of protein expression in PDR and IMH. The protein function analysis illustrated that immunity and transport related proteins might be associated with PDR.
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4.
Proteomics: a tool to develop novel diagnostic methods and unravel molecular mechanisms of pediatric diseases.
Torres-Arroyo, A, Ruiz-Lara, A, Castillo-Villanueva, A, Méndez-Cruz, ST, Espinosa-Padilla, SE, Espinosa-Rosales, FJ, Zarate-Mondragón, F, Cervantes-Bustamante, R, Bosch-Canto, V, Vizzuett-López, I, et al
Boletin medico del Hospital Infantil de Mexico. 2017;(3):233-240
Abstract
Proteomics is the study of the expression of changes and post-translational modifications (PTM) of proteins along a metabolic condition either normal or pathological. In the field of health, proteomics allows obtaining valuable data for treatment, diagnosis or pathophysiological mechanisms of different illnesses. To illustrate the aforementioned, we describe two projects currently being performed at the Instituto Nacional de Pediatría: The immuno-proteomic study of cow milk allergy and the Proteomic study of childhood cataract. Cow's milk proteins (CMP) are the first antigens to which infants are exposed and generate allergy in some of them. In Mexico, the incidence of CMP allergy has been estimated at 5-7%. Clinical manifestations include both gastrointestinal and extra-gastrointestinal symptoms, making its diagnosis extremely difficult. An inappropriate diagnosis affects the development and growth of children. The goals of the study are to identify the main immune-reactive CMP in Mexican pediatric population and to design more accurate diagnostic tools for this disease. Childhood cataract is a major ocular disease representing one of the main causes of blindness in infants; in developing countries, this disease promotes up to 27% of cases related to visual loss. From this group, it has been estimated that close to 60% of children do not survive beyond two years after vision lost. PTM have been pointed out as the main cause of protein precipitation at the crystalline and, consequently, clouding of this tissue. The study of childhood cataract represents an outstanding opportunity to identify the PTM associated to the cataract-genesis process.
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5.
HLA class I binding prediction via convolutional neural networks.
Vang, YS, Xie, X
Bioinformatics (Oxford, England). 2017;(17):2658-2665
Abstract
MOTIVATION Many biological processes are governed by protein-ligand interactions. One such example is the recognition of self and non-self cells by the immune system. This immune response process is regulated by the major histocompatibility complex (MHC) protein which is encoded by the human leukocyte antigen (HLA) complex. Understanding the binding potential between MHC and peptides can lead to the design of more potent, peptide-based vaccines and immunotherapies for infectious autoimmune diseases. RESULTS We apply machine learning techniques from the natural language processing (NLP) domain to address the task of MHC-peptide binding prediction. More specifically, we introduce a new distributed representation of amino acids, name HLA-Vec, that can be used for a variety of downstream proteomic machine learning tasks. We then propose a deep convolutional neural network architecture, name HLA-CNN, for the task of HLA class I-peptide binding prediction. Experimental results show combining the new distributed representation with our HLA-CNN architecture achieves state-of-the-art results in the majority of the latest two Immune Epitope Database (IEDB) weekly automated benchmark datasets. We further apply our model to predict binding on the human genome and identify 15 genes with potential for self binding. AVAILABILITY AND IMPLEMENTATION Codes to generate the HLA-Vec and HLA-CNN are publicly available at: https://github.com/uci-cbcl/HLA-bind . CONTACT xhx@ics.uci.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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6.
Platelet clinical proteomics: Facts, challenges, and future perspectives.
García, Á
Proteomics. Clinical applications. 2016;(8):767-73
Abstract
In recent years, proteomics has been applied to platelet clinical research. Platelets are small enucleated cells that play a fundamental role in hemostasis. In a pathological context, unwanted platelet activation is related to various diseases, primarily thrombosis, but also cancer metastasis, inflammation, immunity, and neurodegenerative diseases. The absence of a nucleus is one of the reasons why proteomics can be considered an ideal analytical tool for platelet research. Indeed, platelet proteomics has allowed the identification of many novel signaling proteins and receptors, several of which are being pursued as potential therapeutic targets. Encouraged by this success, several research groups have recently initiated clinical proteomics studies covering diseases where platelets are involved in some way, such as coronary artery disease, storage pool diseases, uremia, cystic fibrosis, and Alzheimer disease. The goal was to identify platelet biomarkers and drug targets that can help to improve the treatment/diagnosis of the disease and provide further mechanistic evidences of the role platelets play in the pathology. The present article will comment on the recent progress of clinical proteomics in the context of platelet research, challenges, and perspectives for the future ahead.
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7.
Comparative proteomic analysis of the response to silver ions and yeast extract in Salvia miltiorrhiza hairy root cultures.
Wang, Y, Shen, Y, Shen, Z, Zhao, L, Ning, D, Jiang, C, Zhao, R, Huang, L
Plant physiology and biochemistry : PPB. 2016;:364-373
Abstract
Biotic and abiotic stresses can inhibit plant growth, resulting in losses of crop productivity. However, moderate adverse stress can promote the accumulation of valuable natural products in medicinal plants. Elucidating the underlying molecular mechanisms thus might help optimize the variety of available plant medicinal materials and improve their quality. In this study, Salvia miltiorrhiza hairy root cultures were employed as an in vitro model of the Chinese herb Danshen. A comparative proteomic analysis using 2-dimensional gel electrophoresis and MALDI-TOF-MS was performed. By comparing the gel images of groups exposed to the stress of yeast extract (YE) combined with Ag(+) and controls, 64 proteins were identified that showed significant changes in protein abundance for at least one time point after treatment. According to analysis based on the KEGG and related physiological experimental verification, it was found that YE and Ag(+) stress induced a burst of reactive oxygen species and activated the Ca(2+)/calmodulin signaling pathway. Expression of immune-suppressive proteins increased. Epidermal cells underwent programmed cell death. Energy metabolism was enhanced and carbon metabolism shifted to favor the production of secondary metabolites such as lignin, tanshinone and salvianolic acids. The tanshinone and salvianolic acids were deposited on the collapsed epidermal cells forming a physicochemical barrier. The defense proteins and these natural products together enhanced the stress resistance of the plants. Since higher levels of natural products represent good quality in medicinal materials, this study sheds new light on quality formation mechanisms of medicinal plants and will hopefully encourage further research on how the planting environment affects the efficacy of herbal medicines.
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8.
A Combined Omics Approach to Generate the Surface Atlas of Human Naive CD4+ T Cells during Early T-Cell Receptor Activation.
Graessel, A, Hauck, SM, von Toerne, C, Kloppmann, E, Goldberg, T, Koppensteiner, H, Schindler, M, Knapp, B, Krause, L, Dietz, K, et al
Molecular & cellular proteomics : MCP. 2015;(8):2085-102
Abstract
Naive CD4(+) T cells are the common precursors of multiple effector and memory T-cell subsets and possess a high plasticity in terms of differentiation potential. This stem-cell-like character is important for cell therapies aiming at regeneration of specific immunity. Cell surface proteins are crucial for recognition and response to signals mediated by other cells or environmental changes. Knowledge of cell surface proteins of human naive CD4(+) T cells and their changes during the early phase of T-cell activation is urgently needed for a guided differentiation of naive T cells and may support the selection of pluripotent cells for cell therapy. Periodate oxidation and aniline-catalyzed oxime ligation technology was applied with subsequent quantitative liquid chromatography-tandem MS to generate a data set describing the surface proteome of primary human naive CD4(+) T cells and to monitor dynamic changes during the early phase of activation. This led to the identification of 173 N-glycosylated surface proteins. To independently confirm the proteomic data set and to analyze the cell surface by an alternative technique a systematic phenotypic expression analysis of surface antigens via flow cytometry was performed. This screening expanded the previous data set, resulting in 229 surface proteins, which were expressed on naive unstimulated and activated CD4(+) T cells. Furthermore, we generated a surface expression atlas based on transcriptome data, experimental annotation, and predicted subcellular localization, and correlated the proteomics result with this transcriptional data set. This extensive surface atlas provides an overall naive CD4(+) T cell surface resource and will enable future studies aiming at a deeper understanding of mechanisms of T-cell biology allowing the identification of novel immune targets usable for the development of therapeutic treatments.
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9.
Novel Host Proteins and Signaling Pathways in Enteropathogenic E. coli Pathogenesis Identified by Global Phosphoproteome Analysis.
Scholz, R, Imami, K, Scott, NE, Trimble, WS, Foster, LJ, Finlay, BB
Molecular & cellular proteomics : MCP. 2015;(7):1927-45
Abstract
Enteropathogenic Escherichia coli (EPEC) uses a type III secretion system (T3SS) to directly translocate effector proteins into host cells where they play a pivotal role in subverting host cell signaling needed for disease. However, our knowledge of how EPEC affects host protein phosphorylation is limited to a few individual protein studies. We employed a quantitative proteomics approach to globally map alterations in the host phosphoproteome during EPEC infection. By characterizing host phosphorylation events at various time points throughout infection, we examined how EPEC dynamically impacts the host phosphoproteome over time. This experimental setup also enabled identification of T3SS-dependent and -independent changes in host phosphorylation. Specifically, T3SS-regulated events affected various cellular processes that are known EPEC targets, including cytoskeletal organization, immune signaling, and intracellular trafficking. However, the involvement of phosphorylation in these events has thus far been poorly studied. We confirmed the MAPK family as an established key host player, showed its central role in signal transduction during EPEC infection, and extended the repertoire of known signaling hubs with previously unrecognized proteins, including TPD52, CIN85, EPHA2, and HSP27. We identified altered phosphorylation of known EPEC targets, such as cofilin, where the involvement of phosphorylation has so far been undefined, thus providing novel mechanistic insights into the roles of these proteins in EPEC infection. An overlap of regulated proteins, especially those that are cytoskeleton-associated, was observed when compared with the phosphoproteome of Shigella-infected cells. We determined the biological relevance of the phosphorylation of a novel protein in EPEC pathogenesis, septin-9 (SEPT9). Both siRNA knockdown and a phosphorylation-impaired SEPT9 mutant decreased bacterial adherence and EPEC-mediated cell death. In contrast, a phosphorylation-mimicking SEPT9 mutant rescued these effects. Collectively, this study provides the first global analysis of phosphorylation-mediated processes during infection with an extracellular, diarrheagenic bacterial pathogen.
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10.
Quantitative proteomics identifies the membrane-associated peroxidase GPx8 as a cellular substrate of the hepatitis C virus NS3-4A protease.
Morikawa, K, Gouttenoire, J, Hernandez, C, Dao Thi, VL, Tran, HT, Lange, CM, Dill, MT, Heim, MH, Donzé, O, Penin, F, et al
Hepatology (Baltimore, Md.). 2014;(2):423-33
Abstract
UNLABELLED The hepatitis C virus (HCV) NS3-4A protease is not only an essential component of the viral replication complex and a prime target for antiviral intervention but also a key player in the persistence and pathogenesis of HCV. It cleaves and thereby inactivates two crucial adaptor proteins in viral RNA sensing and innate immunity, mitochondrial antiviral signaling protein (MAVS) and TRIF, a phosphatase involved in growth factor signaling, T-cell protein tyrosine phosphatase (TC-PTP), and the E3 ubiquitin ligase component UV-damaged DNA-binding protein 1 (DDB1). Here we explored quantitative proteomics to identify novel cellular substrates of the NS3-4A protease. Cell lines inducibly expressing the NS3-4A protease were analyzed by stable isotopic labeling using amino acids in cell culture (SILAC) coupled with protein separation and mass spectrometry. This approach identified the membrane-associated peroxidase GPx8 as a bona fide cellular substrate of the HCV NS3-4A protease. Cleavage by NS3-4A occurs at Cys 11, removing the cytosolic tip of GPx8, and was observed in different experimental systems as well as in liver biopsies from patients with chronic HCV. Overexpression and RNA silencing studies revealed that GPx8 is involved in viral particle production but not in HCV entry or RNA replication. CONCLUSION We provide proof-of-concept for the use of quantitative proteomics to identify cellular substrates of a viral protease and describe GPx8 as a novel proviral host factor targeted by the HCV NS3-4A protease.