| Affiliation: | 1. Department of Molecular Virology, Immunology and Medical Genetics, The Ohio State University, , Columbus, OH, USA;2. Comprehensive Cancer Center, The Ohio State University, , Columbus, OH, USA;3. Department of Internal Medicine, Division of Hematology, The Ohio State University, , Columbus, OH, USA;4. Myeloma Unit, Division of Hematology, Azienda Ospedaliera Citta` della Salute e della Scienza di Torino, University of Turin, , Torino, Italy;5. Department of Chemistry and Biochemistry, The Ohio State University, , Columbus, OH, USA;6. Nanoscale Science and Engineering Center, The Ohio State University, , Columbus, OH, USA;7. Department of Chemical and Biomolecular Engineering, The Ohio State University, , Columbus, OH, USA |
| Abstract: | Multiple myeloma (MM) is a hematological malignancy caused by a microenviromentally aided persistence of plasma cells in the bone marrow. The role that extracellular vesicles (EVs), microvesicles and exosomes, released by MM cells have in cell‐to‐cell communication and signaling in the bone marrow is currently unknown. This paper describes the proteomic content of EVs derived from MM.1S and U266 MM cell lines. First, we compared the protein identifications between the vesicles and cellular lysates of each cell line finding a large overlap in protein identifications. Next, we applied label‐free spectral count quantitation to determine proteins with differential abundance between the groups. Finally, we used bioinformatics to categorize proteins with significantly different abundances into functional groups. The results illustrate the first use of label‐free spectral counting applied to determine relative protein abundances in EVs. |
