Clustering of MS/MS spectra for glycan biomarker discovery

Anoop Mayampurath, Chuan-Yih Yu

Motivation• Currently, glycomic profiles only use MS data,

which give us only the general view of glycan chain in terms of abundance.

Analysis of MALDI-TOF Mass Spectrometry Data for Discovery ofPeptide and Glycan Biomarkers of Hepatocellular Carcinoma

•This paper introduces computational methods for quantitative comparison of peptides and glycans in serum for biomarker discovery using MS data only.

J. Proteome Res., 2008, 7 (2), pp 603–610 Publication Date (Web): January 12, 2008 (Article) DOI: 10.1021/pr0705237

HCC: Hepatocellular Carcinoma( Cancer of liver)

CLD: Chronic liver disease

High Energy CID• TOF/TOF has high-energy dissociation that causes

cross-ring dissociation. • Data will contain X, and A series ions.• We will be able gather glycan linkage information

from this data.

Our goal

• We want to enhance this method by extending the analysis to tandem MS data which give us structural glycan information.

• The goal is find out whether the linkage of glycans will be the causes of disease or not.

• Furthermore, we world like to build a reliable protocol incorporate this kind of data.

Concept

Pair-wise correlation Find the differences of two spectra

Health spectra(H1, H2, H3…Hk)

Disease spectra(D1, D2, D3…Dk)

Remove the least significant component. Repeat until all the score above threshold.

Flowchart

Dataset

• We contacted to the author to ask for the data set.

• If we don’t have it in time, we will create our simulated date.