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Characterization of multiple myeloma vesicles by label‐free relative quantitation
Author(s) -
Harshman Sean W.,
Canella Alessandro,
Ciarlariello Paul D.,
Rocci Alberto,
Agarwal Kitty,
Smith Emily M.,
Talabere Tiffany,
Efebera Yvonne A.,
Hofmeister Craig C.,
Benson Don M.,
Paulaitis Michael E.,
Freitas Michael A.,
Pichiorri Flavia
Publication year - 2013
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201300142
Subject(s) - microvesicles , extracellular vesicle , multiple myeloma , cell culture , vesicle , quantitative proteomics , biology , bone marrow , plasma cell , cell , proteomics , extracellular vesicles , microbiology and biotechnology , exosome , computational biology , chemistry , immunology , biochemistry , microrna , gene , genetics , membrane
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 ( EV s), 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 EV s derived from MM .1 S and U 266 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 EV s.