Integrated device for integrated analysis of high-throughput single-cell transcriptome and gene mutation

Abstract

The invention discloses an integrated device for integrated analysis of high-throughput single-cell transcriptome and gene mutation. The integrated device includes a high-throughput single-cell codingchip and an integrated analysis device body, wherein the integrated analysis device body includes a housing and a temperature-control thermal cycle module, a fluorescence imaging module and a data storage analysis module which are disposed in the housing, and the fluorescence imaging module includes a light source component, a microscope objective, a fluorescence splitting component and an imaging detector. One-to-one correspondence of gene mutation, transcriptome and protein expression information of single cells can be achieved through the designed high-throughput single-cell coding chip which is provided with triple-encoding functions of micropore spatial coordinates, cellular nucleic acid tags and molecular nucleic acid tags, and PCR amplification can be realized through the temperature-control thermal cycle module; and the fluorescence imaging module is used for collecting fluorescence images of a sample, and the fluorescence images are stored and analyzed through the data storage analysis module, so that integrated analysis of single-cell transcriptome and gene mutation is achieved.

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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