Method for quantifying trace amount of biological sample proteome by utilizing isotope labeling technology

Abstract

The invention provides a method for quantifying a trace amount of biological sample proteome by utilizing an isotope labeling technology. An accompanying sample is designed for a target sample, the accompanying sample is marked again, protein detection loss is transferred to the accompanying sample, detection of trace amount of biological sample protein is achieved, the technical obstacles existing in proteome analysis of trace amount of biological samples in the prior art are overcome, and practical information capable of being used for identification or quantification is obtained.

Description

technical field [0001] The invention relates to the field of proteomics, in particular to a method for quantifying the proteome of microbiological samples by using isotope labeling technology. Background technique [0002] Proteomics is a science that takes the proteome as the research object to study the protein composition and changes of cells, tissues or organisms. The study of the proteome can not only provide the material basis for life activities, but also provide a basis for the elucidation of many disease mechanisms and Overcoming provides a theoretical basis and a solution. In biomedical research, it is often necessary to analyze the proteins of trace biological samples, for example: by studying single cells or a small number of cells, the law of their biogenesis and development can be understood, by analyzing a small amount of clinical tissues, their heterogeneity can be analyzed, by analyzing a small amount of body fluid (urine) fluid, blood, etc.) is expected to...

AI Technical Summary

Problems solved by technology

Professor Nikolai Slavov reduces the interference and loss caused by manual operation by compatible and optimizing the automated sample preparation system and using the peptide in vitro labeling (tandem mass tag) technology. This preparation system has a very high technical threshold, and the peptide in vitro labeling technology It needs to be matched with specific algorithms and programs for data analysis, and it is not suitable for large-scale applications

[0008] Overall, the current proteomics methods for a small number of samples and single cells either greatly increase the cost of experiments, or are not well accepted in the initial stage of development, and there is no method that can adapt to the existing proteomic workflow , can be widely accepted and directly applied by researchers

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