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  • Strippoli, Raffaele; Loureiro, Jesus; Moreno, Vanessa; Benedicto, Ignacio; Perez Lozano, Maria Luisa; Barreiro, Olga; Pellinen, Teijo; Minguet, Susana; Foronda, Miguel; Teresa Osteso, Maria; Calvo, Enrique; Vazquez, Jesus; Lopez Cabrera, Manuel; Angel del Pozo, Miguel (2015)
  • Carnielli, Carolina Moretto; Soares Macedo, Carolina Carneiro; De Rossi, Tatiane; Granato, Daniela Campos; Rivera, Cesar; Domingues, Romenia Ramos; Pauletti, Bianca Alves; Yokoo, Sami; Heberle, Henry; Busso-Lopes, Ariane Fidelis; Cervigne, Nilva Karla; Sawazaki-Calone, Iris; Meirelles, Gabriela Vaz; Marchi, Fabio Albuquerque; Telles, Guilherme Pimentel; Minghim, Rosane; Prado Ribeiro, Ana Carolina; Brandao, Thais Bianca; Castro, Gilberto de; Alejandro Gonzalez-Arriagada, Wilfredo; Gomes, Alexandre; Penteado, Fabio; Santos-Silva, Alan Roger; Lopes, Marcio Ajudarte; Rodrigues, Priscila Campioni; Sundquist, Elias; Salo, Tuula; da Silva, Sabrina Daniela; Alaoui-Jamali, Moulay A.; Graner, Edgard; Fox, Jay W.; Della Coletta, Ricardo; Paes Leme, Adriana Franco (2018)
    Different regions of oral squamous cell carcinoma (OSCC) have particular histopathological and molecular characteristics limiting the standard tumor-node-metastasis prognosis classification. Therefore, defining biological signatures that allow assessing the prognostic outcomes for OSCC patients would be of great clinical significance. Using histopathology-guided discovery proteomics, we analyze neoplastic islands and stroma from the invasive tumor front (ITF) and inner tumor to identify differentially expressed proteins. Potential signature proteins are prioritized and further investigated by immunohistochemistry (IHC) and targeted proteomics. IHC indicates low expression of cystatin-B in neoplastic islands from the ITF as an independent marker for local recurrence. Targeted proteomics analysis of the prioritized proteins in saliva, combined with machine-learning methods, highlights a peptide-based signature as the most powerful predictor to distinguish patients with and without lymph node metastasis. In summary, we identify a robust signature, which may enhance prognostic decisions in OSCC and better guide treatment to reduce tumor recurrence or lymph node metastasis.
  • Nyman, Tuula A.; Lorey, Martina B.; Cypryk, Wojciech; Matikainen, Sampsa (2017)
    Introduction: The immune system is our defense system against microbial infections and tissue injury, and understanding how it works in detail is essential for developing drugs for different diseases. Mass spectrometry-based proteomics can provide in-depth information on the molecular mechanisms involved in immune responses.Areas covered: Summarized are the key immunology findings obtained with MS-based proteomics in the past five years, with a focus on inflammasome activation, global protein secretion, mucosal immunology, immunopeptidome and T cells. Special focus is on extracellular vesicle-mediated protein secretion and its role in immune responses.Expert commentary: Proteomics is an essential part of modern omics-scale immunology research. To date, MS-based proteomics has been used in immunology to study protein expression levels, their subcellular localization, secretion, post-translational modifications, and interactions in immune cells upon activation by different stimuli. These studies have made major contributions to understanding the molecular mechanisms involved in innate and adaptive immune responses. New developments in proteomics offer constantly novel possibilities for exploring the immune system. Examples of these techniques include mass cytometry and different MS-based imaging approaches which can be widely used in immunology.
  • Heininen, Juho; Julku, Ulrika; Myöhänen, Timo; Kotiaho, Tapio; Kostiainen, Risto (2021)
    We developed a new multiplexed reversed phase liquid chromatography-high resolution tandem mass spectrometric (LC-MS/MS) method. The method is based on isobaric labeling with a tandem mass tag (TMT10-plex) and stable isotope-labeled internal standards, and was used to analyze amino acids in mouse brain microdialysis samples. The TMT10-plex labeling of amino acids allowed analysis of ten samples in one LC-MS/MS run, significantly increasing the sample throughput. The method provides good chromatographic performance (peak half-width between 0.04-0.12 min), allowing separation of all TMTlabeled amino acids with acceptable resolution and high sensitivity (limits of detection typically around 10 nM). The use of stable isotope-labeled internal standards, together with TMT10-plex labeling, ensured good repeatability (relative standard deviation 0.994), indicating good quantitative performance of the multiplexed method. The method was applied to study the effect of d-amphetamine microdialysis perfusion on amino acid concentrations in the mouse brain. All amino acids were reliably detected and quantified, indicating that the method is sensitive enough to detect low concentrations of amino acids in brain microdialysis samples. (c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( )
  • Nyman, Tuula A.; Matikainen, Sampsa (2018)
    Viral infections are a major burden to human and animal health. Immune response against viruses consists of innate and adaptive immunity which are both critical for the eradication of the viral infection. The innate immune system is the first line of defense against viral infections. Proper innate immune response is required for the activation of adaptive, humoral and cell-mediated immunity. Macrophages are innate immune cells which have a central role in detecting viral infections including influenza A and human immunodeficiency viruses. Macrophages and other host cells respond to viral infection by modulating their protein expression levels, proteins' posttranslational modifications, as well as proteins' intracellular localization and secretion. Therefore the detailed characterization how viruses dynamically manipulate host proteome is needed for understanding the molecular mechanisms of viral infection. It is critical to identify cellular host factors which are exploited by different viruses, and which are less prone for mutations and could serve as potential targets for novel antiviral compounds. Here, we review how proteomics studies have enhanced our understanding of macrophage response to viral infection with special focus on Influenza A and Human immunodeficiency viruses, and virus infections of swine. (C) 2017 Elsevier B.V. All rights reserved.
  • Gut, Philipp; Matilainen, Sanna; Meyer, Jesse G.; Pallijeff, Pieti; Richard, Joy; Carroll, Christopher J.; Euro, Liliya; Jackson, Christopher B.; Isohanni, Pirjo; Minassian, Berge A.; Alkhater, Reem A.; Ostergaard, Elsebet; Civiletto, Gabriele; Parisi, Alice; Thevenet, Jonathan; Rardin, Matthew J.; He, Wenjuan; Nishida, Yuya; Newman, John C.; Liu, Xiaojing; Christen, Stefan; Moco, Sofia; Locasale, Jason W.; Schilling, Birgit; Suomalainen, Anu; Verdin, Eric (2020)
    Mitochondrial acyl-coenzyme A species are emerging as important sources of protein modification and damage. Succinyl-CoA ligase (SCL) deficiency causes a mitochondrial encephalomyopathy of unknown pathomechanism. Here, we show that succinyl-CoA accumulates in cells derived from patients with recessive mutations in the tricarboxylic acid cycle (TCA) gene succinyl-CoA ligase subunit-beta (SUCLA2), causing global protein hyper-succinylation. Using mass spectrometry, we quantify nearly 1,000 protein succinylation sites on 366 proteins from patient-derived fibroblasts and myotubes. Interestingly, hyper-succinylated proteins are distributed across cellular compartments, and many are known targets of the (NAD(+))-dependent desuccinylase SIRT5. To test the contribution of hyper-succinylation to disease progression, we develop a zebrafish model of the SCL deficiency and find that SIRT5 gain-of-function reduces global protein succinylation and improves survival. Thus, increased succinyl-CoA levels contribute to the pathology of SCL deficiency through post-translational modifications. The pathomechanism of succinyl-CoA ligase (SCL) deficiency, a hereditary mitochondrial disease, is not fully understood. Here, the authors show that increased succinyl-CoA levels contribute to SCL pathology by causing global protein hyper-succinylation.
  • Öhman, Tiina; Tamene, Fitsum; Göös, Helka; Loukovaara, Sirpa; Varjosalo, Markku (2018)
    Aging is a phenomenon that is associated with profound medical implications. Idiopathic epiretinal membrane (iEMR) and macular hole (MH) are the major vision-threatening vitreoretinal diseases affecting millions of aging people globally, making these conditions an important public health issue. iERM is characterized by fibrous tissue developing on the surface of the macula, which leads to biomechanical and biochemical macular damage. MH is a small breakage in the macula and is associated with many ocular conditions. Although several individual factors and pathways are suggested, a systems pathology level understanding of the molecular mechanisms underlying these disorders is lacking. Therefore, we performed mass spectrometry-based label-free quantitative proteomics analysis of the vitreous proteomes from patients with iERM and MH to identify the key proteins, as well as the multiple interconnected biochemical pathways, contributing to the development of these diseases. We identified a total of 1,014 unique proteins, many of which are linked to inflammation and the complement cascade, revealing the inflammation processes in retinal diseases. Additionally, we detected a profound difference in the proteomes of iEMR and MH compared to those of diabetic retinopathy with macular edema and rhegmatogenous retinal detachment. A large number of neuronal proteins were present at higher levels in the iERM and MH vitreous, including neuronal adhesion molecules, nervous system development proteins, and signaling molecules, pointing toward the important role of neurodegenerative component in the pathogenesis of age-related vitreoretinal diseases. Despite them having marked similarities, several unique vitreous proteins were identified in both iERM and MH, from which candidate targets for new diagnostic and therapeutic approaches can be provided.