Method for searching differential expression proteins among different cells or tissues of Rugao yellow chicken based on non-standard quantitative proteomics technology

Abstract

The invention relates to a method for searching differential expression proteins among different cells or tissues of Rugao yellow chicken based on a non-standard quantitative proteomics technology. The method comprises the following steps: (1) extracting tissues or cell proteins of different cells or tissues of chicken; (2) carrying out pancreatin enzymolysis on different groups of cells or tissueproteins obtained in the step (1); (3) carrying out liquid chromatography-mass spectrometry analysis on the cell or tissue proteins subjected to enzymolysis; and (4) performing database search and annotation analysis on an analysis result. According to the present invention, with the method, the differential expression proteins between different tissues and cells can be rapidly obtained; 2, the method is simple, feasible, high in repeatability and accurate in result; and 3, the method is suitable for other species.

Description

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AI Technical Summary

Benefits of technology

In this new way we have developed an improved technique that allows us to find specific types of molecules called certain genes within each cell/tissue found inside red turkeys (Rho). By comparing these genetic material from various parts of their body taken together they will be able to identify differences therebetween - even if it's just one part per million across all three organs being studied at once. These techniques make research faster than current methods like Western blotting but still work well enough when studying small samples such as young birds.

Problems solved by technology

This patents discusses how proteomic techniques have developed over recent years that help scientists better understanding complex systems like living organisms. These methods involve extracting specific parts from their body fluids (blood) and performing various measurements to determine important properties related thereto. By comparing these data sets against each other, they provide valuable insights regarding genetics and biochemistry processes involved in health care applications.

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