Method for analyzing and mining functional genes by combining genome three-dimensional structure difference identification and transcriptome gene expression level difference

A technology of three-dimensional structure and identification method, which is applied in the field of identification of three-dimensional structure differences of genomes, and can solve problems such as the small number of differential loops.

Pending Publication Date: 2021-03-26
BIOMARKER TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology helps improve health by providing benefits that are more effective than existing treatments or drugs currently available on market today.

Problems solved by technology

This patented technical problem addressed in this patents relates to developing efficient methods or tools capable of identifying specific regions within complex biological systems such as yeast cellular architecture. These areas include interactions between certain parts like nucleus components and their surrounding environment, including neighboring cells' cytoplasmatic membrane domains. By studying these areas, we aim to discover new ways to study various aspects related to gene functions and how they interact through molecular mechanisms involving protein binding sites and chromostructures.

Method used

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  • Method for analyzing and mining functional genes by combining genome three-dimensional structure difference identification and transcriptome gene expression level difference
  • Method for analyzing and mining functional genes by combining genome three-dimensional structure difference identification and transcriptome gene expression level difference
  • Method for analyzing and mining functional genes by combining genome three-dimensional structure difference identification and transcriptome gene expression level difference

Examples

Experimental program
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Effect test

Embodiment 1

[0062] Example 1 Identification method of genome three-dimensional structure difference

[0063] In this embodiment, the Hi-C data of chordoma and normal samples (two biological replicates for each sample, and the two samples are named H01 and H02 respectively) are used as the analysis object to provide a method for identifying differences in the three-dimensional genome structure. details as follows:

[0064] 1. Acquisition of effective Hi-C data

[0065] Using bwa and HiC-Pro to compare and quality control the Hi-C data, only keep the valid Hi-C data, and finally obtain the interaction matrix with bin sizes of 100000, 20000 and 10000bp.

[0066] 2. Identification of difference AB Compartment

[0067] (1) Use HiTC and bin=100000 to obtain the identification result of AB Compartment for each sample;

[0068] (2) The identification of A and BCompartment is carried out separately for the biological repeats of each sample, and the consistent identification results among the biolo

Embodiment 2

[0084] Example 2 A functional gene mining method that combines the identification of genome three-dimensional structure differences and the analysis of transcriptome gene expression level differences

[0085] This example takes the identification results of genome three-dimensional structure differences in Example 1 and transcriptomics gene expression differential data of normal and chordoma samples as analysis objects, and provides a method that combines identification of genome three-dimensional structure differences and transcriptome gene expression level differential analysis The functional gene mining method is as follows:

[0086] (1) Use bedtools to correlate the differentially expressed genes with the AB and BA types in the differential AB Compartment to get the intersection, and obtain the differentially expressed gene information corresponding to the differential AB Compartment;

[0087] (2) Extend the boundary of the differential TAD by 40,000 bp to the inside and outs

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Abstract

The invention relates to the technical field of biological information, in particular to a method for analyzing and mining functional genes by combining genome three-dimensional structure difference identification and transcriptome gene expression level difference. The invention provides a genome three-dimensional structure difference identification method, which comprises identification of difference AB Compartment, identification of difference TAD and identification of difference Loop on the basis of HiC data, and can realize efficient identification of different levels of genome three-dimensional structure differences of animals and plants by using in-situ HiC data. The invention provides a method for analyzing and excavating functional genes by utilizing the genome three-dimensional structure difference identification method in combination with transcriptome gene expression level difference, and by utilizing the combined analysis method, difference analysis can be performed from two aspects of a genome three-dimensional structure and a transcriptome, so that efficient excavation of animal and plant functional genes is realized.

Description

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Claims

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Application Information

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Owner BIOMARKER TECH
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