Premium
Label‐free quantitative proteomic analysis of extracellular vesicles released from fibroblasts derived from patients with spinal muscular atrophy
Author(s) -
Roberto Justin,
Poulin Kathy L.,
Parks Robin J.,
Vacratsis Panayiotis O.
Publication year - 2021
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.202000301
Subject(s) - spinal muscular atrophy , sma* , biology , biomarker discovery , biomarker , proteome , proteomics , microbiology and biotechnology , extracellular , amyotrophic lateral sclerosis , pathology , bioinformatics , medicine , biochemistry , disease , gene , mathematics , combinatorics
Abstract Spinal muscular atrophy (SMA) is an autosomal recessive disorder that represents a significant cause of infant mortality. SMA is characterized by reduced levels of the Survival Motor Neuron protein leading to the loss of alpha motor neurons in the spinal cord and brain stem as well as defects in peripheral tissues such as skeletal muscle and liver. With progress in promising therapies such as antisense oligonucleotide and gene replacement, there remains a need to better understand disease subtypes and develop biomarkers for improved diagnostics and therapeutic monitoring. In this study, we have examined the utility of extracellular vesicles as a source of biomarker discovery in patient‐derived fibroblast cells. Proteome examination utilizing data‐independent acquisition and ion mobility mass spectrometry identified 684 protein groups present in all biological replicates tested. Label‐free quantitative analysis identified 116 statistically significant protein alterations compared to control cells, including several known SMA biomarkers. Protein level differences were also observed in regulators of Wnt signaling and Cajal bodies. Finally, levels of insulin growth factor binding protein‐3 were validated as being significantly higher in extracellular vesicles isolated from SMA cells. We conclude that extracellular vesicles represent a promising source for SMA biomarker discovery as well as a relevant constituent for advancing our understanding of SMA pathophysiology.