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Biomarker system screening method based on multi-omics

A technology of biomarkers and screening methods, applied in the field of biomarker screening, can solve problems such as one-sided conclusions, complicated interactions, and inconvenience in biomarker screening and further exploration.

Active Publication Date: 2018-11-16
SHENZHEN INST OF ADVANCED TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The number of biomarkers for complex diseases is huge and the interactions among them are intricate. However, traditional technologies screen biomarkers based on a single omics data. The screening methods for biomarkers have low accuracy, and the conclusions are too one-sided. The biological significance is not great, which makes it inconvenient for researchers in the field of life sciences to screen and further explore biomarkers

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Embodiment 1

[0036] refer to figure 2 , the first embodiment of the present invention provides a multi-omics-based biomarker system screening method, including:

[0037] Step S10, based on each mRNA expression profile data in two patient sample groups with different conditions, obtain a list of significantly differentially expressed genes;

[0038] As mentioned above, the different conditions are the differences between the two groups of patient samples, which may include but not limited to: 1. Age difference, for example, one group is younger than 50 years old, and the other group is older than 80 years old; 2. Physical condition, for example, One group has diabetes and the other group does not have diabetes; 3. Gender difference, one group is male and the other group is female; 4. Nationality or race difference, one group is yellow, the other group is white, etc. Wait.

[0039] As mentioned above, what is obtained in this step is the list of significantly differentially expressed gene...

Embodiment 2

[0054] refer to image 3 , the second embodiment of the present invention provides a multi-omics-based biomarker system screening method, based on the above figure 2 In the first embodiment shown, in the step S20, the acquisition of miRNA omics-level characteristic markers includes:

[0055] Step S21, obtaining a target gene set list through the miRNA-target gene relationship prediction algorithm;

[0056] As mentioned above, in the step of obtaining characteristic markers at the miRNA omics level, two data need to be input, one is the list of significantly differentially expressed genes, and the other is the data for predicting the relationship between miRNA-target genes, which is the list of target gene sets . The list of target gene sets can be obtained from existing databases through calculation. That is, each miRNA corresponds to a target gene set list, which contains its target gene set.

[0057] The miRNA-target gene relationship prediction algorithm is the sequenc...

Embodiment 3

[0066] refer to Figure 4 , the third embodiment of the present invention provides a multi-omics-based biomarker system screening method, based on the above figure 2 In the first embodiment shown, in the step S20, the acquisition of characteristic markers at the proteomics level includes:

[0067] Step S25, obtain the protein name corresponding to each gene in the list of significantly differentially expressed genes, and obtain the protein interaction data pair matching the protein name corresponding to each gene in the list of significantly differentially expressed genes, as PPI data set;

[0068] As mentioned above, a protein is a substance with a certain spatial structure formed by a polypeptide chain composed of amino acids in the form of "dehydration condensation" after twists and turns. Also, chromosomes are composed of DNA and histones together. A gene is a nucleic acid sequence on DNA that encodes a specific protein, so genes and proteins have a corresponding relat...

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Abstract

The invention provides a biomarker system screening method based on multi-omics. The method includes according to expression profile data of each mRNA in patient sample clusters under two different conditions, acquiring a significant difference expression gene list; according to the significant difference expression gene list, acquiring miRNA omics-level characteristic markers and proteomics-levelcharacteristic markers; creating feature vectors of significant difference expression genes in the significant difference expression gene list, and screening multi-omics biomarkers among the patientsample clusters under two different conditions according to the vectors. The biomarker system screening method has the advantages that the biomarkers are screened according to transcriptomics-level data, miRNA omics-level data and proteomics-level data, so that the accuracy of the screening method is high; result coverage is comprehensive for multi-factor multi-level measurement, and great convenience is provided to researchers in the life science field in screening and further exploration of the biomarkers.

Description

technical field [0001] The present invention relates to the technical field of biomarker screening, and more specifically, relates to a multi-omics-based biomarker system screening method. Background technique [0002] In the study of complex diseases, biomarkers have become direct and effective diagnostic methods and research objects that have attracted much attention because they play an important role in many aspects such as early detection, treatment and efficacy monitoring of diseases. Using gene chip technology and deep sequencing technology can quantitatively analyze the expression of a large number of RNAs and discover potential disease biomarkers at the same time. miRNA-omics can also be applied to discover potential biomarkers. Studying the complexity of the proteome is more conducive to answering questions about life activities and screening important proteins as potential biomarkers. [0003] The number of biomarkers for complex diseases is huge and the interac...

Claims

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Application Information

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IPC IPC(8): G06F19/20
Inventor 王莹莹周静雯蔡云鹏
Owner SHENZHEN INST OF ADVANCED TECH
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