Abstract:
The preset invention relates to a high resolution mass spectrometry based novel bioinformatics platform for the identification of glycation proteins and advanced glycation end-product. Particularly, the bioinformatics platform of the present invention facilitates an efficient and accurate investigation of quantitative changes of glycation proteins and advanced glycation end-products which are included in various types of samples but had not been informed yet, and uses a high resolution mass spectrometry, and thereby can be effectively used for the prediction or diagnosis of a disease including cancer by examining a disease marker in a sample.
Abstract:
The present invention relates to a diagnosis method of liver cancer using mass spectrometry of α-fetoprotein derived glycopeptide. Particularly, according to the AFP glycopeptide analysis method of the invention, fucosylation rate of the glycopeptide having the sequence composed of Val-Asn-Phe-Thr-Glu-Ile-Gln-Lys is analyzed to diagnose liver cancer in the early developmental grade. In particular, fucosylation rate is higher in the liver cancer patients than in other liver disease patients, so that the comparison of the fucosylation rate can be useful to diagnose or distinguish liver cancer from other liver diseases in the early HCC patients.
Abstract:
The present invention relates to a bioinformation processing analysis method for the identification and quantification of O-linked glycopeptide using high resolution mass spectrum. Particularly, according to the bioinformation processing analysis method of the present invention, the quantitative changes of O-linked glycopeptide containing non-informed sugar chains included in various samples can be efficiently and accurately analyzed; the prediction or diagnosis of disease including cancer can be made easy by using a high resolution mass spectrometer; or the investigation of O-linked glycopeptide structure of a therapeutic glycoprotein can be efficiently achieved.
Abstract:
The present invention relates to a method for diagnosing cancer using information on the aberrant glycosylation of a glycoprotein involved in cancer progress. More particularly, the present invention relates to a cancer diagnosis peptide marker which is screened by the steps of: separating a glycoprotein aberrantly glycosylated according to the occurrence and progress of cancer from the blood of a lung cancer patient by using lectin; and selecting a marker peptide produced by the hydrolysis of the glycoprotein isolated by lectin. The marker peptide can be effectively used as a cancer diagnosis marker and for the diagnosis of cancer.
Abstract:
The present invention relates to a diagnosis method of liver cancer using mass spectrometry of α-fetoprotein derived glycopeptide. Particularly, according to the AFP glycopeptide analysis method of the invention, fucosylation rate of the glycopeptide having the sequence composed of Val-Asn-Phe-Thr-Glu-Ile-Gln-Lys is analyzed to diagnose liver cancer in the early developmental grade. In particular, fucosylation rate is higher in the liver cancer patients than in other liver disease patients, so that the comparison of the fucosylation rate can be useful to diagnose or distinguish liver cancer from other liver diseases in the early HCC patients.
Abstract:
The preset invention relates to a high resolution mass spectrometry based novel bioinformatics platform for the identification of glycation proteins and advanced glycation end-product. Particularly, the bioinformatics platform of the present invention facilitates an efficient and accurate investigation of quantitative changes of glycation proteins and advanced glycation end-products which are included in various types of samples but had not been informed yet, and uses a high resolution mass spectrometry, and thereby can be effectively used for the prediction or diagnosis of a disease including cancer by examining a disease marker in a sample.
Abstract:
The present invention relates to a more efficient and accurate method for the identification and quantification of comparatively low abundant glycopeptides, compared with general peptides, using mass spectrum obtained by using high resolution mass spectrometer. Therefore, the method of the present invention can be effectively used for the techniques for identification of biotherapeutics and diagnosis of cancer or disease by screening glycopeptide, the disease marker (Biomarker), from various samples.
Abstract:
The present invention relates to a more efficient and accurate method for the identification and quantification of comparatively low abundant glycopeptides, compared with general peptides, using mass spectrum obtained by using high resolution mass spectrometer. Therefore, the method of the present invention can be effectively used for the techniques for identification of biotherapeutics and diagnosis of cancer or disease by screening glycopeptide, the disease marker (Biomarker), from various samples.