ABSTRACT
The initial phases of neuronal differentiation are key to neuronal function. A particularly informative model to study these initial phases are retinoic acid-stimulated SH-SY5Y cells. Although these progressions are associated with redox-sensitive processes, it is largely undefined how the cellular proteome underpins redox dynamics and the management of reactive oxygen species. Here, we map the global cysteine-based redox landscape of SH-SY5Y cells using quantitative redox proteomics. We find evidence that redox alterations occurred early in differentiation and affect the expression of neuronal marker proteins and the extension of neurites. The spatiotemporal analysis of reactive oxygen species suggests a NOX2-dependent peak in cytoplasmic superoxide anions/hydrogen peroxide generation 2 h after retinoic acid stimulation. At the same time point, 241 out of 275 proteins with an altered cysteine redox state are reversibly oxidized in response to retinoic acid. Our analyses pinpoint redox alterations of proteins involved in the retinoic acid homeostasis and cytoskeletal dynamics.
Subject(s)
Proteomics , Tretinoin , Cell Differentiation , Cysteine/metabolism , Oxidation-Reduction , Reactive Oxygen Species/metabolism , Tretinoin/pharmacologyABSTRACT
Proteins are released from cells by different secretory pathways. The secretory pathway via the ER-Golgi route - realized by a signal sequence - is referred to as "classical secretion". In contrast, alternative secretory pathways were summarized as "unconventional protein secretion". Until now, unconventional protein secretion was lacking attention due to the absence of detailed mechanistic insight and limited experimental access. However, there is a growing number of experimental data showing that a large proportion of secreted proteins is released by these alternative routes. Secretomics - the analysis of all secreted proteins of a cell population - offers the opportunity to gain more functional insight into unconventional protein secretion. Several pitfalls in secretome analysis starting with the analyzed cell model and sample preparation to data analysis have to be considered for detailed characterization of the secretome. Here, we highlight the investigation of secretomes by quantitative LC-MS/MS analysis and discuss pitfalls and opportunities in the characterization of unconventionally secreted proteins by secretome analysis.
Subject(s)
Proteome/metabolism , Secretory Pathway , Animals , Humans , Proteins/metabolismABSTRACT
Secretome analysis faces several challenges including detection of low abundant proteins and the discrimination of bona fide secreted proteins from false-positive identifications stemming from cell leakage or serum. Here, we developed a two-step secretomics approach and applied it to the analysis of secreted proteins of C2C12 skeletal muscle cells since the skeletal muscle has been identified as an important endocrine organ secreting myokines as signaling molecules. First, we compared culture supernatants with corresponding cell lysates by mass spectrometry-based proteomics and label-free quantification. We identified 672 protein groups as candidate secreted proteins due to their higher abundance in the secretome. On the basis of Brefeldin A mediated blocking of classical secretory processes, we estimated a sensitivity of >80% for the detection of classical secreted proteins for our experimental approach. In the second step, the peptide level information was integrated with UniProt based protein information employing the newly developed bioinformatics tool "Lysate and Secretome Peptide Feature Plotter" (LSPFP) to detect proteolytic protein processing events that might occur during secretion. Concerning the proof of concept, we identified truncations of the cytoplasmic part of the protein Plexin-B2. Our workflow provides an efficient combination of experimental workflow and data analysis to identify putative secreted and proteolytic processed proteins.
