http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105842327-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-6848
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N27-62
filingDate 2016-03-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2018-11-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2018-11-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-105842327-B
titleOfInvention Gastric cancer syndrome of spleen deficiency sialoprotein finger-print molecule diagnostic model method for building up
abstract The invention discloses a kind of gastric cancer syndrome of spleen deficiency sialoprotein finger-print molecule diagnostic model method for building up, include the following steps:Sample collection;Nanometer magnetic bead pre-processes;Sample pretreatment;Saliva sample elutes loading;Mass spectral analysis;Data acquire;Data analysis;Establish diagnostic model.The present invention carries out gastric cancer syndrome of spleen deficiency disease binding molecule diagnosis research with WCX and MALDI-TOF-MS proteomic techniques, based on sialoprotein matter group, it is found that gastric cancer syndrome of spleen deficiency compared with non-syndrome of spleen deficiency, has 6 differential protein peaks to have statistical significance.Gastric cancer syndrome of spleen deficiency and Normal group compare, and it is statistically significant to share 106 differential protein mass peaks, wherein there is 101 protein peak differences tools to be very significant, wherein 26 mass peaks are expressed in syndrome of spleen deficiency group and lowered, and 80 mass peaks are in syndrome of spleen deficiency group up-regulated expression.
priorityDate 2016-03-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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