Journal of Proteome Research · 2011 · 31 citations · 41 references
Tissue EngineeringHyperosmotic TreatmentEngineeringAdult Stem CellLabel-free ProfilingBiomedical EngineeringCellular PhysiologyRegenerative MedicineBone Morphogenic ProteinStem CellsCell TransplantationCartilage Tissue EngineeringCell BiologyMesenchymal Stem CellInduced Pluripotent Stem CellPrimes CellsLabel-free Protein ProfilingStem Cell EngineeringStem Cell ResearchStem-cell TherapyCellular BiochemistryMedicineEmbryonic Stem CellExtracellular Matrix
Our previous work suggested that treatment of cells with hyperosmotic media during 2D passaging primes cells for cartilage tissue engineering applications. Here, we used label-free proteomic profiling to evaluate the effects of control and hyperosmotic treatment environments on the phenotype of multipotent adipose-derived stem cells (ASCs) cultivated with a chondrogenic growth factor cocktail. Spectra were recorded in a data-independent fashion at alternate low (precursor) and high (product) fragmentation voltages (MS(E)). This method was supplemented with data mining of accurate mass and retention time matches in precursor ion spectra across the experiment. The results indicated a complex cellular response to osmotic treatment, with a number of proteins differentially expressed between control and treated cell groups. The roles of some of these proteins have been documented in the literature as characteristic of the physiological states studied, especially aldose reductase (osmotic stress). This protein acted as a positive control in this work, providing independent corroborative validation. Other proteins, including 5'-nucleotidase and transgelin, have been previously linked to cell differentiation state. This study demonstrates that label-free profiling can serve as a useful tool in characterizing cellular responses to chondrogenic treatment regimes, recommending its use in optimization of cell priming protocols for cartilage tissue engineering.
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KEGG: Kyoto Encyclopedia of Genes and Genomes
Minoru Kanehisa · Nucleic Acids Research · 2000 · 37.5K citations · Full text
KEGG: Kyoto Encyclopedia of Genes and Genomes
Hiroyuki Ogata, Susumu Goto, Kazushige Sato et al. · Nucleic Acids Research · 1999 · 32.2K citations · Full text