High-throughput single-cell transcriptome and gene mutation integrated analysis integrated device

Abstract

The invention discloses a high-throughput single-cell transcriptome and gene mutation integrated analysis integrated device, which includes a high-throughput single-cell coding chip and an integrated analysis device; the integrated analysis device includes a casing and is arranged in the casing A temperature-controlled thermal cycle module, a fluorescence imaging module, and a data storage and analysis module, the fluorescence imaging module includes a light source assembly, a microscope objective lens, a fluorescence spectroscopic assembly, and an imaging detector. In the present invention, by designing a high-throughput single-cell coding chip with triple coding functions of micropore spatial coordinates, cellular nucleic acid tags, and molecular nucleic acid tags, the gene mutation, transcriptome, and protein expression information of single cells can be matched one by one; PCR amplification can be realized through the temperature-controlled thermal cycle module, the fluorescence image of the sample can be collected through the fluorescence imaging module, and the fluorescence image can be stored and analyzed through the data storage and analysis module, which can realize the integrated analysis of single-cell transcriptome and gene mutation.

Description

technical field [0001] The invention relates to the field of biological detection, in particular to a high-throughput single-cell transcriptome and gene mutation integrated analysis integrated device. Background technique [0002] Tumor is one of the major diseases that seriously affect human health. There are great differences in tumor cells from genotype to phenotype (high heterogeneity of tumors), and this high heterogeneity is related to the degree of malignancy and drug resistance of tumors. Sex, recurrence and metastasis are closely related, which is one of the root causes of difficult early diagnosis of tumors, complicated clinical diagnosis and treatment, drug-resistant recurrence and poor prognosis. A comprehensive analysis of tumor heterogeneity is the key to precise tumor treatment. [0003] The development of high-throughput sequencing technology brings hope for the analysis of heterogeneous tumor populations. At present, conventional high-throughput sequencing...

AI Technical Summary

Problems solved by technology

However, the three-generation sequencing technology used in this study to detect mutations has great limitations. The mutation detection rate is limited by the specific mutation site. The highest single mutation detection rate is only 23%, and the average number of cells that can detect mutations does not exceed 5%, the author finally used the random forest machine learning algorithm to predict the tumor population, which could not realize the direct identification of the tumor cell population, and did not correspond well to the heterogeneity of the genome and transcriptome

Moreover, the technique is cumbersome to operate, requires a high sample volume, and costs a lot, making it unsuitable for general promotion.

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