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1.
Proteomics ; 15(4): 714-24, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25404527

ABSTRACT

Chemokines and cytokines, primarily known for their roles in the immune and inflammatory response, have also been identified as key components of the neurogenic niche where they are involved in the modulation of neural stem cell proliferation and differentiation. However, a complete understanding of the functional role played in neural differentiation and a comprehensive profiling of these secreted molecules are lacking. By exploiting the multiplexing capability of magnetic bead-based immunoassays, we have investigated the changes of the expression levels of a set of chemokines and cytokines released from the pluripotent neural cell line mes-c-myc A1 following its differentiation from a proliferating phenotype (A1P) toward a neural (A1D) phenotype. We found a subset of molecules exclusively released from A1P, whereas others were differentially detected in A1P and A1D conditioned media. Among them, we identified monocyte chemoattractant protein-1/chemokine ligand 2 (MCP-1/CCL2) as a proneurogenic factor able to affect neuronal differentiation of A1 cells as well as of neuroblasts from primary cultures and to induce the elongation and/or formation of neuritic processes. Altogether, data are suggestive of a main role played by the CCL2/CCR2 signaling pathway and in general of the network of secreted cytokines/chemokines in the differentiation of neural progenitor cells toward a neural fate.


Subject(s)
Chemokine CCL2/metabolism , Immunoassay/methods , Neurogenesis/physiology , Proteome/metabolism , Proteomics/methods , Animals , Cell Line , Cytokines/analysis , Cytokines/chemistry , Cytokines/metabolism , Mesencephalon/cytology , Mesencephalon/metabolism , Mice , Neural Stem Cells , Proteins/analysis , Proteins/metabolism , Proteome/analysis
2.
PLoS One ; 8(10): e77303, 2013.
Article in English | MEDLINE | ID: mdl-24146976

ABSTRACT

The emergence of high-throughput protein quantification methodologies has enabled the comprehensive characterization by longitudinal and cross-sectional studies of biological fluids under physiological and pathological conditions. In particular, the simultaneous investigation of cytokines and growth factors signaling pathways and their associated downstream effectors by integrated multiplexed approaches offers a powerful strategy to gain insights into biological networks and processes in living systems. A growing body of research indicates that bioactive molecules of human reproductive fluids, including human follicular fluid (hFF), may affect oocyte quality, fertilization and embryo development, thus potentially influencing the physiopathology of pregnancy-related conditions. In this work, an iTRAQ labeling strategy has been complemented with a multiplexed protein array approach to analyze hFFs with the aim to investigate biological processes and pathways related to in vitro fertilization (IVF) outcome. The iTRAQ labeling strategy lead to the quantification of 89 proteins, 30 of which were differentially expressed in hFFs with successful compared to unsuccessful IVF outcome. The targeted study, based on multiplexed antibody protein arrays, allowed the simultaneous quantification of 27 low abundance proteins, including growth factors, chemokines and cytokines endowed with pro- and anti-inflammatory activity. A significant number of differentially regulated proteins were involved in biological functions related to blood coagulation, acute phase response signaling and complement system. Overall, the present results provide an integrated overview of protein changes in hFFs associated to IVF outcome, thus improving current knowledge in reproductive medicine and fertility research.


Subject(s)
Fertilization in Vitro , Follicular Fluid/metabolism , Oocytes/metabolism , Proteome , Signal Transduction , Computational Biology , Cross-Sectional Studies , Cytokines/metabolism , Female , Humans , Intercellular Signaling Peptides and Proteins/metabolism , Pregnancy , Pregnancy Outcome , Protein Array Analysis/methods , Proteomics/methods , Reproducibility of Results
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