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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

Inactive Publication Date: 2012-01-18
SHANGHAI CLUSTER BIOTECH
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Problems solved by technology

However, it is difficult to achieve ideal results in terms of sensitivity and accuracy by using traditional methods to measure relative and absolute concentrations of proteins.

Method used

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

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Embodiment Construction

[0014] According to the present invention, a method for analyzing iTRAQ data is applied to the analysis of protein iTRAQ analysis data. In the present invention, the iTRAQ analysis data of mouse cells will be used as an example to illustrate the specific implementation steps of the method:

[0015] Step 1. Differential protein screening. The raw data of the screening came from the analysis results of the proteinpilot software after iTRAQ detection of mouse cells. The data were screened between groups according to the experimental group to obtain differentially expressed proteins. The follow-up analysis took the differential screening results of group C and group B in the experimental data as an example.

[0016] Step 2: GO (Gene ontology) analysis. The differentially expressed proteins obtained in the previous step can be used as input data for GO analysis, and the differentially expressed proteins are transferred to the Gene ontology database ( www.geneontology.org) to map ...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68G01N33/68
Inventor 曾华宗
Owner SHANGHAI CLUSTER BIOTECH
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