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Model for predicting cell proliferation activity by taking 87 genes as biomarkers

A biomarker and cell proliferation technology, applied in the field of predicting cell proliferation activity, can solve problems such as differences in living environment, inability of cells to be cultured in vitro, proliferation ability cannot reflect proliferation ability, etc.

Pending Publication Date: 2020-10-02
ZHEJIANG UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are great difficulties in this method at present: 1. Some cells cannot be cultured in vitro; 2. Due to the huge difference in the living environment of some cells, their proliferative ability under in vitro culture conditions cannot reflect the true proliferative ability in the in vivo environment

Method used

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  • Model for predicting cell proliferation activity by taking 87 genes as biomarkers
  • Model for predicting cell proliferation activity by taking 87 genes as biomarkers
  • Model for predicting cell proliferation activity by taking 87 genes as biomarkers

Examples

Experimental program
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Effect test

Embodiment 1

[0036] Example 1: Use the Tabula Muris database, TCGA database, GTEx database and CCLE database to establish a cell proliferation gene set containing 87 genes, predict the proliferation activity of 81 different normal cell types collected in the Tabula Muris database, and assist in judging TCGA Whether there are a large number of normal cells with proliferation activity in the cancer tissues in the database guides cancer treatment and evaluation methods for cell proliferation markers.

[0037] (1) Data collection

[0038] 53,760 single-cell RNA-Seq data from 81 different normal cell types generated by Smart-Seq2 single-cell sequencing technology were obtained from the Tabula Muris database. The RNA-Seq data of 9630 carcinomas and paracancerous tissues of 32 cancers were obtained from The Cancer Genome Atlas (TCGA) database, and the prognosis data of 31 cancers were also obtained. RNA-Seq data for 17,382 tissues of 54 tissues were obtained from the GTEx database. The RNA-Seq ...

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PUM

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Abstract

The invention provides a model for predicting cell proliferation activity by taking 87 genes as biomarkers. The expression level of the cell proliferation gene set is positively related to the proliferation activity of cells. The invention provides a method for evaluating cell proliferation activity without in-vitro culture. In combination with a single cell sequencing technology, the proliferation activity of each cell type in vivo can be rapidly, simply and conveniently determined. The invention can help people judge whether notably proliferated normal cells exist in cancer tissues or not. When a large number of cells exist in cancer tissues, treatment and evaluation means for cell proliferation markers are interfered and possibly fail; when a large number of cells do not exist in cancertissues, a treatment and evaluation means for the cell proliferation marker is expected to be successful. The method has auxiliary guiding significance for cancer diagnosis and treatment based on a cell proliferation mechanism.

Description

technical field [0001] The invention belongs to the fields of gene technology and biomedicine, and in particular relates to a method for predicting cell proliferation activity by using 87 genes as biomarkers Background technique [0002] Massive disordered proliferation of cancer cells is a key mechanism of tumorigenesis. For the mechanism of cell proliferation, people have developed chemotherapy and other therapeutic methods. At the same time, a number of cell proliferation gene markers, such as MKI67, MCM2 and PCNA, have been developed, and their mRNA or protein expression levels are used to indicate the proliferation activity of cancer cells, thereby assisting in evaluating the prognosis of postoperative patients. Especially for the protein expression of MKI67, the Ki-67 index was developed to mark the ratio of Ki-67 positive cells in pathological samples to evaluate lung cancer, breast cancer, prostate cancer, cervical cancer, colorectal cancer, bladder cancer, Prognos...

Claims

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Application Information

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IPC IPC(8): G16B40/30G16B50/00G16B5/00G16B25/10
CPCG16B40/30G16B50/00G16B5/00G16B25/10C12Q1/6886C12Q2600/158
Inventor 吴超郑敏
Owner ZHEJIANG UNIV
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