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Facile preparation of salivary extracellular vesicles for cancer proteomics.

Sun Y, Xia Z, Shang Z, Sun K, Niu X, Qian L, Fan LY, Cao CX, Xiao H - Sci Rep (2016)

Bottom Line: Affinity chromatography column combined with filter system (ACCF) was developed to efficiently remove the high abundant proteins and viscous interferences of saliva.Protein profiling in the SEVs obtained by this strategy was compared with conventional centrifugation method, which demonstrated that about 70% more SEVs proteins could be revealed.Our results demonstrated that SEVs prepared through the developed strategy are valuable samples for proteomics and could serve as a promising liquid biopsy for cancer.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Microbial Metabolism, Laboratory of Analytical Biochemistry and Bioseparation, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.

ABSTRACT
Extracellular vesicles (EVs) are membrane surrounded structures released by cells, which have been increasingly recognized as mediators of intercellular communication. Recent reports indicate that EVs participate in important biological processes and could serve as potential source for cancer biomarkers. As an attractive EVs source with merit of non-invasiveness, human saliva is a unique medium for clinical diagnostics. Thus, we proposed a facile approach to prepare salivary extracellular vesicles (SEVs). Affinity chromatography column combined with filter system (ACCF) was developed to efficiently remove the high abundant proteins and viscous interferences of saliva. Protein profiling in the SEVs obtained by this strategy was compared with conventional centrifugation method, which demonstrated that about 70% more SEVs proteins could be revealed. To explore its utility for cancer proteomics, we analyzed the proteome of SEVs in lung cancer patients and normal controls. Shotgun proteomic analysis illustrated that 113 and 95 proteins have been identified in cancer group and control group, respectively. Among those 63 proteins that have been consistently discovered only in cancer group, 12 proteins are lung cancer related. Our results demonstrated that SEVs prepared through the developed strategy are valuable samples for proteomics and could serve as a promising liquid biopsy for cancer.

No MeSH data available.


Related in: MedlinePlus

Gene Ontology analysis of candidate SEVs’ protein biomarkers for lung cancer.
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f6: Gene Ontology analysis of candidate SEVs’ protein biomarkers for lung cancer.

Mentions: To discover potential biomarkers, we further analyzed these 63 proteins that were unique to lung cancer (Table 2). The Gene Ontology information of these 63 proteins showed that about 80% were involved in response to stimulus and 60% were related to stress response and multicellular organismal process (Fig. 6). The Gene Ontology information further revealed the extracellular nature of these proteins, they were mainly present in region part, membrane-bounded organelle, vesicle or exosome and blood microparticle. Molecular function results of these proteins showed that 90% gene referred to binding, which includes protein binding, enzyme binding, identical protein binding, and protease binding.


Facile preparation of salivary extracellular vesicles for cancer proteomics.

Sun Y, Xia Z, Shang Z, Sun K, Niu X, Qian L, Fan LY, Cao CX, Xiao H - Sci Rep (2016)

Gene Ontology analysis of candidate SEVs’ protein biomarkers for lung cancer.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4835767&req=5

f6: Gene Ontology analysis of candidate SEVs’ protein biomarkers for lung cancer.
Mentions: To discover potential biomarkers, we further analyzed these 63 proteins that were unique to lung cancer (Table 2). The Gene Ontology information of these 63 proteins showed that about 80% were involved in response to stimulus and 60% were related to stress response and multicellular organismal process (Fig. 6). The Gene Ontology information further revealed the extracellular nature of these proteins, they were mainly present in region part, membrane-bounded organelle, vesicle or exosome and blood microparticle. Molecular function results of these proteins showed that 90% gene referred to binding, which includes protein binding, enzyme binding, identical protein binding, and protease binding.

Bottom Line: Affinity chromatography column combined with filter system (ACCF) was developed to efficiently remove the high abundant proteins and viscous interferences of saliva.Protein profiling in the SEVs obtained by this strategy was compared with conventional centrifugation method, which demonstrated that about 70% more SEVs proteins could be revealed.Our results demonstrated that SEVs prepared through the developed strategy are valuable samples for proteomics and could serve as a promising liquid biopsy for cancer.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Microbial Metabolism, Laboratory of Analytical Biochemistry and Bioseparation, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.

ABSTRACT
Extracellular vesicles (EVs) are membrane surrounded structures released by cells, which have been increasingly recognized as mediators of intercellular communication. Recent reports indicate that EVs participate in important biological processes and could serve as potential source for cancer biomarkers. As an attractive EVs source with merit of non-invasiveness, human saliva is a unique medium for clinical diagnostics. Thus, we proposed a facile approach to prepare salivary extracellular vesicles (SEVs). Affinity chromatography column combined with filter system (ACCF) was developed to efficiently remove the high abundant proteins and viscous interferences of saliva. Protein profiling in the SEVs obtained by this strategy was compared with conventional centrifugation method, which demonstrated that about 70% more SEVs proteins could be revealed. To explore its utility for cancer proteomics, we analyzed the proteome of SEVs in lung cancer patients and normal controls. Shotgun proteomic analysis illustrated that 113 and 95 proteins have been identified in cancer group and control group, respectively. Among those 63 proteins that have been consistently discovered only in cancer group, 12 proteins are lung cancer related. Our results demonstrated that SEVs prepared through the developed strategy are valuable samples for proteomics and could serve as a promising liquid biopsy for cancer.

No MeSH data available.


Related in: MedlinePlus