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Proteomic Profiling of the Human Fetal Multipotent Mesenchymal Stromal Cells Secretome

Authors: Arseniy A. Lobov; Natalia M. Yudintceva; Alexey G. Mittenberg; Sergey V. Shabelnikov; Natalia A. Mikhailova; Anna B. Malashicheva; Mikhail G. Khotin;

Proteomic Profiling of the Human Fetal Multipotent Mesenchymal Stromal Cells Secretome

Abstract

Secretome of multipotent mesenchymal stromal cells (MSCs) is actively used in biomedical applications such as alveolar bone regeneration, treatment of cardiovascular disease, and neurodegenerative disorders. Nevertheless, hMSCs have low proliferative potential and production of the industrial quantity of their secretome might be challenging. Human fetal multipotent mesenchymal stromal cells (FetMSCs) isolated from early human embryo bone marrow are easy to expand and might be a potential source for pharmaceutical substances production based on their secretome. However, the secretome of FetMSCs was not previously analyzed. Here, we describe the secretome of FetMSCs using LC-MALDI shotgun proteomics. We identified 236 proteins. Functional annotation of the identified proteins revealed their involvement in angiogenesis, ossification, regulation of apoptosis, and immune response processes, which made it promising for biomedical applications. The proteins identified in the FetMSCs secretome are involved in the same biological processes as proteins from previously described adult hMSCs secretomes. Nevertheless, many of the common hMSCs secretome components (such as VEGF, FGF, Wnt and TGF-β) have not been identified in the FetMSCs secretome.

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Keywords

Proteomics, Proteome, multipotent mesenchymal stromal cells, Organic chemistry, MSCs, Bone Marrow Cells, Regenerative Medicine, Article, proteomics, QD241-441, Bone Marrow, Tandem Mass Spectrometry, Humans, Cell Proliferation, mesenchymal stem cells, regenerative biomedicine, FetMSCs, Gene Expression Profiling, Computational Biology, Cell Differentiation, Mesenchymal Stem Cells, secretome, Culture Media, Conditioned, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Chromatography, Liquid

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold