Method for analyzing iTRAQ (isobaric Tags for Relative and Absolute Quantitation) data

A data and database technology, applied in the field of quantitative data analysis of proteomics, can solve problems such as sensitivity and accuracy that are difficult to achieve ideal results
CN102321733AInactive Publication Date: 2012-01-18SHANGHAI CLUSTER BIOTECH
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI CLUSTER BIOTECH
Publication Date
2012-01-18
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention designs a method for analyzing iTRAQ (isobaric Tags for Relative and Absolute Quantitation) data aiming at the characteristics of iTRAQ protein quantitative data analysis. The method has a main flow which comprises the following steps of: 1, screening differential protein: screening the initial iTRAQ data in groups to acquire a difference result; 2, performing GO (Gene Ontology) analysis: performing query mapping on a GO database to acquire completer gene function information so as to display a directed acyclic graph; 3, performing Pathway analysis which is similar to GO analysis: performing comparative query with a KEGG (Kyoto Encyclopedia of Genes and Genomes) database to construct an interaction pathway between genes; and step 4, performing Gene network analysis: integrating three different interaction relations to obtain a gene interaction network graph.
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Description

technical field

[0001] The invention belongs to the field of biotechnology and relates to the quantitative data analysis of proteomics. Background technique

[0002] iTRAQ (Isotope Labeling Relative and Absolute Quantitation Technology) is a newly developed proteomics quantitative research technology in recent years. It has the advantages of good quantitative effect and high repeatability, and can quantify up to four different samples at the same time. Analysis, scientists engaged in biological research often use iTRAQ technology to accelerate quantitative research on proteins.

[0003] In the study of proteomics, only knowing the composition of the protein is not enough to give a final conclusion on the protein, because the concentration of the protein is extremely important to realize its function in the cell, and the change in the concentration of a specific protein , can predict the mutation process of cells. However, it is difficult to achieve ideal results in terms o...

Claims

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