Tissue exosome phosphorylated proteome-based multi-omics analysis method

Abstract

The invention provides a tissue exosome phosphorylated proteome-based multi-omics analysis method. The method comprises the following steps of: S1, separating exosomes of a tissue sample and specifically enriching phosphorylated proteins; S2, carrying out sequencing analysis on the enriched phosphorylated protein to obtain main regulation kinase; S3, analyzing transcriptome data of the tissue sample to obtain a main regulation transcription factor; S4, analyzing the genome variation data of the tissue sample to obtain a tumor-related gene; and S5, performing strategy analysis on the analysis data obtained in the steps S2, S3 and S4 to obtain a cancer-related main regulation kinase network and a drug action target. The method is suitable for the joint analysis technology of phosphorylated proteome sequencing data, transcriptome data and gene mutation data of any disease exosome sample, and a foundation is laid for exploring markers related to diseases and selecting more effective and accurate disease treatment targets.

Description

technical field [0001] The invention relates to the technical field of proteomics and gene transcriptomics, in particular to a multi-omics analysis method for exosome proteomics and transcriptomics. Background technique [0002] The form of gene expression includes transcriptome and proteome. Analysis of gene expression profiles allows the exploration and identification of underlying molecular and cellular processes. With advances in key high-throughput technologies, such as RNA-sequencing and shotgun proteomics, it is now possible to probe gene transcription and protein expression with unprecedented depth and coverage. The transcriptome and proteome, as well as post-transcriptional and post-translational modifications, are dynamic and tightly regulated in response to different environmental stimuli and growth conditions. While transcriptomes and proteomes each have many bioinformatics approaches, these approaches are limited in their ability to provide a systematically co...

AI Technical Summary

Problems solved by technology

However, there is currently a lack of multi-omic analysis methods based on tissue exosome phosphorylated proteome

[0006] The present invention is an integrated analysis method for exosome phosphorylated protein group, transcript group and gene variation data group of lung cancer tissue. After searching, there is no similarity in the same industry in China.

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