A Comparison of Proteins Expressed between Human and Mouse Adipose-Derived Mesenchymal Stem Cells by a Proteome Analysis through Liquid Chromatography with Tandem Mass Spectrometry.
Saifun NaharYoshiki NakashimaChika Miyagi-ShiohiraTakao KinjoNaoya KobayashiIssei SaitohMasami WatanabeHirofumi NoguchiJiro FujitaPublished in: International journal of molecular sciences (2018)
Adipose-derived mesenchymal stem cells (ADSCs) have become a common cell source for cell transplantation therapy. Clinical studies have used ADSCs to develop treatments for tissue fibrosis, such as liver cirrhosis and pulmonary fibroma. The need to examine and compare basic research data using clinical research data derived from mice and humans is expected to increase in the future. Here, to better characterize the cells, the protein components expressed by human ADSCs used for treatment, and mouse ADSCs used for research, were comprehensively analyzed by liquid chromatography with tandem mass spectrometry. We found that 92% (401 type proteins) of the proteins expressed by ADSCs in humans and mice were consistent. When classified by the protein functions in a gene ontology analysis, the items that differed by >5% between human and mouse ADSCs were "biological adhesion, locomotion" in biological processes, "plasma membrane" in cellular components, and "antioxidant activity, molecular transducer activity" in molecular functions. Most of the listed proteins were sensitive to cell isolation processes. These results show that the proteins expressed by human and murine ADSCs showed a high degree of correlation.
Keyphrases
- tandem mass spectrometry
- liquid chromatography
- endothelial cells
- ultra high performance liquid chromatography
- mesenchymal stem cells
- mass spectrometry
- high performance liquid chromatography
- simultaneous determination
- cell therapy
- high resolution mass spectrometry
- gas chromatography
- single cell
- pluripotent stem cells
- induced pluripotent stem cells
- gene expression
- stem cells
- umbilical cord
- bone marrow
- pulmonary hypertension
- oxidative stress
- induced apoptosis
- genome wide
- big data
- electronic health record
- ms ms
- signaling pathway
- machine learning
- copy number
- artificial intelligence
- dna methylation
- metabolic syndrome
- insulin resistance
- protein protein
- current status
- cell cycle arrest