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      Alterations in the chondrocyte surfaceome in response to pro-inflammatory cytokines

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          Abstract

          Background

          Chondrocytes are exposed to an inflammatory micro-environment in the extracellular matrix (ECM) of articular cartilage in joint diseases such as osteoarthritis (OA) and rheumatoid arthritis (RA). In OA, degenerative changes and low-grade inflammation within the joint transform the behaviour and metabolism of chondrocytes, disturb the balance between ECM synthesis and degradation, and alter the osmolality and ionic composition of the micro-environment. We hypothesize that chondrocytes adjust their physiology to the inflammatory microenvironment by modulating the expression of cell surface proteins, collectively referred to as the ‘surfaceome’. Therefore, the aim of this study was to characterize the surfaceome of primary equine chondrocytes isolated from healthy joints following exposure to the pro-inflammatory cytokines interleukin-1-beta (IL-1β) and tumour necrosis factor-alpha (TNF-α). We employed combined methodology that we recently developed for investigating the surfaceome in stem cells. Membrane proteins were isolated using an aminooxy-biotinylation technique and analysed by mass spectrometry using high throughput shotgun proteomics. Selected proteins were validated by western blotting.

          Results

          Amongst the 431 unique cell surface proteins identified, a high percentage of low-abundance proteins, such as ion channels, receptors and transporter molecules were detected. Data are available via ProteomeXchange with identifier PXD014773. A high number of proteins exhibited different expression patterns following chondrocyte stimulation with pro-inflammatory cytokines. Low density lipoprotein related protein 1 (LPR-1), thrombospondin-1 (TSP-1), voltage dependent anion channel (VDAC) 1–2 and annexin A1 were considered to be of special interest and were analysed further by western blotting.

          Conclusions

          Our results provide, for the first time, a repository for proteomic data on differentially expressed low-abundance membrane proteins on the surface of chondrocytes in response to pro-inflammatory stimuli.

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          Most cited references72

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          TGF-beta signal transduction.

          The transforming growth factor beta (TGF-beta) family of growth factors control the development and homeostasis of most tissues in metazoan organisms. Work over the past few years has led to the elucidation of a TGF-beta signal transduction network. This network involves receptor serine/threonine kinases at the cell surface and their substrates, the SMAD proteins, which move into the nucleus, where they activate target gene transcription in association with DNA-binding partners. Distinct repertoires of receptors, SMAD proteins, and DNA-binding partners seemingly underlie, in a cell-specific manner, the multifunctional nature of TGF-beta and related factors. Mutations in these pathways are the cause of various forms of human cancer and developmental disorders.
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            PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry.

            A number of different approaches have been described to identify proteins from tandem mass spectrometry (MS/MS) data. The most common approaches rely on the available databases to match experimental MS/MS data. These methods suffer from several drawbacks and cannot be used for the identification of proteins from unknown genomes. In this communication, we describe a new de novo sequencing software package, PEAKS, to extract amino acid sequence information without the use of databases. PEAKS uses a new model and a new algorithm to efficiently compute the best peptide sequences whose fragment ions can best interpret the peaks in the MS/MS spectrum. The output of the software gives amino acid sequences with confidence scores for the entire sequences, as well as an additional novel positional scoring scheme for portions of the sequences. The performance of PEAKS is compared with Lutefisk, a well-known de novo sequencing software, using quadrupole-time-of-flight (Q-TOF) data obtained for several tryptic peptides from standard proteins. Copyright 2003 John Wiley & Sons, Ltd.
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              Biochemical and metabolic abnormalities in articular cartilage from osteo-arthritic human hips. II. Correlation of morphology with biochemical and metabolic data.

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                Author and article information

                Contributors
                matta.csaba@med.unideb.hu
                ali.mobasheri@oulu.fi
                Journal
                BMC Mol Cell Biol
                BMC Mol Cell Biol
                BMC Molecular and Cell Biology
                BioMed Central (London )
                2661-8850
                26 June 2020
                26 June 2020
                2020
                : 21
                : 47
                Affiliations
                [1 ]GRID grid.7692.a, ISNI 0000000090126352, Department of Rheumatology & Clinical Immunology, , University Medical Centre Utrecht, ; Utrecht, The Netherlands
                [2 ]GRID grid.7122.6, ISNI 0000 0001 1088 8582, Department of Anatomy, Histology and Embryology, Faculty of Medicine, , University of Debrecen, ; Debrecen, Hungary
                [3 ]GRID grid.5475.3, ISNI 0000 0004 0407 4824, Department of Veterinary Pre-Clinical Sciences, School of Veterinary Science and Medicine, , University of Surrey, ; Guildford, UK
                [4 ]GRID grid.12361.37, ISNI 0000 0001 0727 0669, John van Geest Cancer Research Centre, , Nottingham Trent University, ; Nottingham, NG11 8NS UK
                [5 ]GRID grid.432720.0, Bruker UK Limited, ; Coventry, UK
                [6 ]Exonate Ltd., Medicity, Thane Road, Nottingham, UK
                [7 ]GRID grid.10858.34, ISNI 0000 0001 0941 4873, Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, , University of Oulu, ; Oulu, Finland
                [8 ]GRID grid.493509.2, Department of Regenerative Medicine, , State Research Institute Centre for Innovative Medicine, ; Vilnius, Lithuania
                [9 ]GRID grid.415598.4, ISNI 0000 0004 0641 4263, Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, , Queen’s Medical Centre, ; Nottingham, UK
                [10 ]GRID grid.7692.a, ISNI 0000000090126352, Department of Orthopedics, , UMC Utrecht, ; Utrecht, The Netherlands
                Author information
                http://orcid.org/0000-0002-9678-7420
                http://orcid.org/0000-0001-6261-1286
                Article
                288
                10.1186/s12860-020-00288-9
                7318434
                32586320
                57bd228d-54d3-439c-bdd0-69ee6aab058c
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 30 September 2019
                : 3 June 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004963, Seventh Framework Programme;
                Award ID: HEALTH.2012.2.4.5-2
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000341, Arthritis Research UK;
                Award ID: 20194
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004895, European Social Fund;
                Award ID: DOTSUT-215
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100011264, FP7 People: Marie-Curie Actions;
                Award ID: 625746
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                surfaceome,aminooxy-biotin,mass spectrometry,proteomics,osteoarthritis,biomarker,inflammation,chondrocyte

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