A method for detecting differentially expressed proteins

Abstract

The invention relates to a method for detecting differentially expressed proteins, which is oriented to the relative quantitative data analysis of markers and non-markers based on primary spectrum information in quantitative proteomics, including peptide spectrum matching, credibility evaluation, and peptide signal extraction , Peptide ratio calculation, protein ratio calculation, statistical analysis, according to the ratio of mass spectrometry signal intensity corresponding to a protein in two or more samples to determine whether it is a differentially expressed protein. For the data collected by mass spectrometry experiments with a scale of nearly 100 GB, quickly and automatically analyze the signals of different proteins in the mass spectrometer as accurately as possible to extract protein signals; determine the differential expression of proteins in a statistical sense, and the accuracy of the results sex is evaluated.

Description

technical field [0001] The invention relates to the field of quantitative proteomics, in particular to a method for detecting differentially expressed proteins. Background technique [0002] Quantitative proteomics mainly studies the expression of proteins in complex biological samples through biological mass spectrometry, and one of the important research goals is to detect differentially expressed proteins in different biological samples. [0003] For some important proteins, such as the core fucose protein associated with cancer, the expression level in cancer patients is much higher than that in normal people. The differentially expressed core fucose protein can be used as a marker for early diagnosis of liver cancer. Differentially expressed proteins play a dominant role in other life processes such as biological signaling, cellular aging, and post-translational modifications. According to reports, in 2011, member companies of the Pharmaceutical Research and Manufactu...

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Problems solved by technology

[0006] The main problem of the existing analysis methods for protein mass spectrometry data is that the ability to deal with signal overlap and signal interference is weak, and a considerable proportion of the qualitative and quantitative results obtained are inaccurate, and there are almost no algorithms. Evaluate the accuracy of protein quantification results

As a result, the differentially expressed proteins detected by this method cannot be fully trusted, and a variety of traditional biochemical methods need to be used to verify them one by one. It also consumes a lot of manpower and material resources, and increases the research cycle.

This issue has been a bottleneck limiting breakthroughs in biomarker detection research

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