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SAL_12216 details
Primary information
SALIDSAL_12216
Biomarker nameIg heavy chain variable region
Biomarker TypeNA
Sampling MethodAll saliva samples used in this experiment were provided by The First Affiliated Hospital of Wenzhou Medical University and approved by the ethics committee.
Collection MethodFreshly collected saliva (5 mL) were centrifuged at 12,000g (Rotor FA-45-24-11, Centrifuge 5424 R, Eppendorf AG, Hamburg, Germany) for 30 min at 4 degreeC to remove cell debris and microvesicles.
Analysis MethodWestern blot + LC-MS/MS
Collection SiteSaliva
Disease CategoryHealthy
Disease/ConditionHealthy
Disease SubtypeNA
Fold Change/ ConcentrationNA
Up/DownregulatedNA
ExosomalExosomal
OrganismHomo sapiens
PMID33159572
Year of Publication2021
Biomarker IDA0A2Y9CYE1
Biomarker CategoryProtein
SequenceSCAASGFTFSNYWMFWVRQAPGKGLEWVANIKQDGGEKFYVDSVKGRFTISRANAENSLYLQMNSLRAEDTAVYYCARDILRYSGEPWGQGTLVTVSS
Title of studyDeep dive on the proteome of salivary extracellular vesicles: comparison between ultracentrifugation and polymer-based precipitation isolation
Abstract of studySalivary extracellular vesicles (EVs), as novel functional carriers and potential biomarkers, are usually obtained by ultracentrifugation (UC) and polyethylene glycol (PEG)-based precipitation methods. However, salivary EVs obtained by these two methods have not been systematically compared. Here, we perform an in-depth analysis on EVs isolated by these two methods using proteomics. Both methods obtain EVs ranging from 40 to 210 nm, with the PEG method resulting in a wider size distribution. PEG-separated products were irregularly shaped and aggregated, while UC-separated ones were monodispersed and teacup-shaped. Additionally, the expression of EV-specific markers was higher in UC-separated EVs. Using tandem mass spectrometry proteomics, we identified and quantified 1217 kinds of saliva exosomal proteins and 361 kinds of differential proteins, showing that UC can isolate more EV-related proteins. These results offer some guidance for EV separating and provide potential direction for the use of EVs in non-invasive diagnosis.