Cell cycle detection kit based on mass spectrometry detection technology

Abstract

The invention discloses a cell cycle detection kit based on mass spectrometry detection technology, and a detection method thereof. The proportion of the cell cycle located by the cells of each subgroup in a sample is determined at a unicellular level for a small amount of cells of clinical and scientific research organization samples by utilizing the mass spectrometry detection technology, thereby revealing the influence produced by the change of the proliferation capacity of the specific cell subgroups in the sample under physiological and pathological states of the sample.

Description

【Technical field】 [0001] The invention relates to the technical field of cell biology, in particular to a cell cycle detection kit and a cell cycle detection method based on mass spectrometry flow detection technology. 【Background technique】 [0002] Mass flow cytometry detection technology is a technology that detects rare metal-labeled antibodies by mass spectrometer at the single-cell level, and performs multi-parameter, high-throughput qualitative analysis of each cell. Compared with the traditional flow cytometry technology, this technology has the advantages of more detection parameters and higher signal-to-noise ratio. It is currently the most advanced single-cell flow cytometry technology and has been widely used in the fields of clinical medicine and biological research. Applications. [0003] The cell cycle refers to all the changes that cells undergo from the end of the last cell division to the end of the next cell division. According to whether the process of ...

AI Technical Summary

Problems solved by technology

At present, the main commercial cell detection kits can not distinguish between M phase and G0 phase cells very well, and there are long sample cell processing cycles (need to be sorted first and then detected), and the sample detection throughput is low (only one can be detected each time). One sample), the test result is less stable (there are some shortcomings such as the sample cell state changes due to the sample live cell processing time is too long, and the processing and detection are not synchronized) and other shortcomings

Therefore, the current commercial cell cycle detection technology is not yet able to evaluate the cell cycle status of different types of tissue cells in the same sample at the single cell level, and can only be characterized at the cell population level, and the research methods cannot meet the needs of low sample sizes. , High-throughput description of the cell proliferation state of different types of cells in sample tissue

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