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Method for single cell classification and screening and device therefor

A classification method and technology of a classification device, applied in the field of bioinformatics, can solve the problems of cumbersome preparation process, lack of accuracy evaluation, low sensitivity of subgroup classification, screening and detection, etc., and achieve the effect of improving accuracy

Active Publication Date: 2013-03-06
BGI SHENZHEN CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, these techniques use surfactants, fluorescent dyes, and antigen antibodies, which are highly toxic to cells and can only sort specifically labeled or non-specifically labeled single cell suspensions. The early sample preparation process is cumbersome, and currently many fluorescent The specificity of probes and monoclonal antibodies (including CD molecules on the cell surface) is more controversial, and many cell subpopulations do not have corresponding specific markers / specific antigens; on the other hand, these technologies use biology, immunology, chemistry, etc. Methods, through phenotypic measurement (including cell size, cell granularity, cell surface area, nuclear-to-cytoplasmic ratio, etc.), for statistical analysis, the sensitivity for subgroup classification, screening and detection is low, and there is a lack of effective accuracy assessment

Method used

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  • Method for single cell classification and screening and device therefor
  • Method for single cell classification and screening and device therefor
  • Method for single cell classification and screening and device therefor

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0134] Example 1: Classification of renal cancer single cells

[0135] 1-1. Reads positioning

[0136] The reads results obtained by sequencing each single-cell sample were compared with the reference genome sequence (human genome HG18) using SOAPaligner alignment software (http: / / soap.genomics.org.cn / soapaligner.html). Two thousand copies and the read length of Reads is 100bp, so when SOAP is compared, each Reads is set to have a maximum of 3 misalignments (Mismacth), and Gap parameters are not allowed to ensure that the positions of Reads that can be compared are accurate.

[0137] 1-2. Basic data statistics

[0138] According to the above comparison results, the sequencing depth and coverage of each sample (single cell or tissue) relative to the reference genome sequence are calculated. After statistics, when the whole genome is sequenced and the Mean Depth is around 3×, due to PCR amplification There is a certain bias (Bias), so the coverage of the sample fluctuates grea...

Embodiment 2

[0229] Example 2: Classification and screening of leukemia single cells

[0230] 2-1. Reads positioning

[0231] A 30× depth exome sequencing was performed on each single cancer cell, and the obtained reads results were compared with the reference genome sequence (human genome HG18) using SOAPaligner2.0 alignment software. Since the number of human SNPs is 2 / 1000 and the read length of Reads is about 100bp, we set each Reads to have a maximum of 2 mismatches (mismacth) during SOAP alignment, and Gap is not allowed to ensure that the alignment is to the reference The accuracy of Reads on the genome.

[0232] 2-2. Basic data statistics

[0233] A total of 53 cancer cells and 8 oral epithelial cells (normal cells) were sequenced. Table 5 shows the coverage and depth numerical information of exome sequencing for each cell sample.

[0234] Table 5 Coverage and depth of exome sequencing for each cell sample

[0235]

[0236]

[0237] 2-3. Data filtering

[0238] Same as ...

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Abstract

The invention provides a method for single cell classification and screening and a device therefor. The method comprises the following steps of carrying out comparison of reads obtained by sample sequencing and a reference genome, carrying out data filtration of a comparison result, determining a consistent genotype of all single cell samples according to filtered data, saving the consistent genotype of the all single cell samples into a SNP data set, extracting genotype files of loci corresponding to reference genome SNP data set positions from the saved SNP data set, selecting a cell mutation SNP locus, and carrying out cell classification and functional gene screening according to a genotype file of the cell mutation SNP locus. The method and the device avoid cell marking, solve the problem that the traditional single cell classification method can not realize classification of a certain cell subset having no corresponding specific markers, realize complete analysis of genetic variation information of a single cell genome, and greatly improve the accuracy of cell subset classification.

Description

technical field [0001] The present invention relates to bioinformatics, and in particular to single cell sorting and screening methods and devices used in said methods. Background technique [0002] There are significant differences in gene expression, copy number variation, and epigenetics among different individuals, between different tissues of individuals, and even different parts of the same tissue. Cell-to-cell heterogeneity also exists, even in vitro cultured cell populations with identical genetic backgrounds. Cellular heterogeneity is particularly pronounced for stem or precursor cells, since any change in state is heritable. In order to better study cell biology and reveal the rules of cell heterogeneity, it is very necessary to develop technical methods applied to single cell research. Therefore, some scholars proposed the concept of "single cell analysis (SCA)", from "omics (Omics) " point of view. Single cell sorting and screening provide an important basis f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68C12Q1/04C12N5/00C12M1/00G16B30/10G16B20/20
CPCG06F19/22C12Q1/6827C12Q1/68C12Q1/6869G16B20/00G16B30/00G16B30/10G16B20/20
Inventor 徐讯鲍莉何伟明侯勇陶晔
Owner BGI SHENZHEN CO LTD
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