Literature DB >> 19132682

Mass spectrometric and computational analysis of cytokine-induced alterations in the astrocyte secretome.

Sarah Dunn Keene1, Todd M Greco, Ioannis Parastatidis, Seon-Hwa Lee, Ethan G Hughes, Rita J Balice-Gordon, David W Speicher, Harry Ischiropoulos.   

Abstract

The roles of astrocytes in the CNS have been expanding beyond the long held view of providing passive, supportive functions. Recent evidence has identified roles in neuronal development, extracellular matrix maintenance, and response to inflammatory challenges. Therefore, insights into astrocyte secretion are critically important for understanding physiological responses and pathological mechanisms in CNS diseases. Primary astrocyte cultures were treated with inflammatory cytokines for either a short (1 day) or sustained (7 days) exposure. Increased interleukin-6 secretion, nitric oxide production, cyclooxygenase-2 activation, and nerve growth factor (NGF) secretion confirmed the astrocytic response to cytokine treatment. MS/MS analysis, computational prediction algorithms, and functional classification were used to compare the astrocyte protein secretome from control and cytokine-exposed cultures. In total, 169 secreted proteins were identified, including both classically and nonconventionally secreted proteins that comprised components of the extracellular matrix and enzymes involved in processing of glycoproteins and glycosaminoglycans. Twelve proteins were detected exclusively in the secretome from cytokine-treated astrocytes, including matrix metalloproteinase-3 (MMP-3) and members of the chemokine ligand family. This compilation of secreted proteins provides a framework for identifying factors that influence the biochemical environment of the nervous system, regulate development, construct extracellular matrices, and coordinate the nervous system response to inflammation.

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Year:  2009        PMID: 19132682      PMCID: PMC2667946          DOI: 10.1002/pmic.200800385

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  57 in total

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