Method for detecting differentially-expressed protein

Abstract

The invention relates to a method for detecting differentially-expressed protein. For quantitative proteomics, on the basis of marked and unmarked relative quantitative data analysis of primary spectrogram information, whether certain protein differentially expresses protein is judged according to corresponding spectrogram signal intensity ratio of the certain protein in two or more samples, and the method comprises the following steps: matching a peptide spectrum, evaluating credibility, extracting peptide fragment signals, calculating a peptide fragment ratio, calculating a protein ratio, and performing statistical analysis. For about 100 GB data collected through mass spectrum experiment, automated analysis is performed rapidly, for signals of different protein in a mass spectrometer, the protein signals can be extracted accurately as soon as possible, protein differential expression is determined from statistical significance, and accuracy of results 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 uses mass spectrometry to study the expression of proteins in complex biological samples, 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 an early diagnostic marker for liver cancer. Differentially expressed proteins play a dominant role in other life processes such as biological signaling, cellular senescence, and post-translational modification. According to reports, in 2011, the member companies of the Pharmaceutical Research and Manufacturers o...

AI Technical Summary

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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