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Biological material function prediction and evaluation method

An evaluation method and biomaterial technology, applied in the field of biomaterial function prediction and evaluation, can solve the problems of labor-intensive, long experimental period, and large heterogeneity of the sample library, and achieve the effect of improving the judgment accuracy.

Active Publication Date: 2021-11-05
PEKING UNIV SCHOOL OF STOMATOLOGY
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Problems solved by technology

[0005] The present invention is to provide a high accuracy and predictable Functional prediction and evaluation methods of biomaterials

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  • Biological material function prediction and evaluation method
  • Biological material function prediction and evaluation method
  • Biological material function prediction and evaluation method

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with the examples.

[0023] The invention provides a method for predicting and evaluating the function of biological materials, which comprises the following steps: (1) culturing human-derived bone marrow mesenchymal stem cells in the environment of the material to be tested; (2) collecting the human-derived bone marrow mesenchymal stem cells cultured in the step (1) Bone marrow mesenchymal stem cells, extracting total RNA, purifying and building a library, and sequencing the transcriptome; (3) after the batch effect correction and feature extraction of the transcriptome data of the sample to be tested (that is, the data obtained in step (2)), Input the function prediction evaluation model of the present invention (the function prediction evaluation model is the Ensemble Learning intelligent prediction model constructed by integrating Ridge Classifier CV, Support Vector Machine, Decision Tree and Gaussi...

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Abstract

The invention relates to a biological material function prediction and evaluation method, and solves the technical problems of intensive labor, long experimental period and high heterogeneity of a sample library in the existing evaluation method. The biological material function prediction and evaluation method comprises the following steps of (1) culturing human bone marrow mesenchymal stem cells in an environment of a material to be detected; (2) collecting the human bone marrow mesenchymal stem cells cultured in the step (1), extracting total RNA (Ribonucleic Acid), purifying and establishing a library, and sequencing a transcriptome to obtain transcriptome data of a to-be-detected sample; and (3) performing batch effect correction and feature extraction on the transcriptome data of the to-be-detected sample obtained in the step (2), inputting the transcriptome data into a function prediction evaluation model, and calculating the confidence of the to-be-detected sample for different cell types. The method can be used in the field of biological material function prediction and evaluation.

Description

technical field [0001] The invention relates to an evaluation model of a biological material, in particular to a method for predicting and evaluating the function of a biological material. Background technique [0002] At present, the evaluation content of medical materials at home and abroad is mainly divided into two aspects: physical and chemical performance evaluation and biological evaluation. Among them, the evaluation of biological performance focuses on biological toxicity and safety evaluation, but lacks a unified evaluation system for functional evaluation. For example, the evaluation of the stem cell fate regulation function of biomaterials has not yet been included in the national medical biomaterial effectiveness and safety evaluation standards. Therefore, the material evaluation data in this area are generated in various biomaterial research laboratories. Due to the lack of uniform standards for characterization methods and characterization techniques, there i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6869G06N20/00
CPCC12Q1/6869G06N20/00
Inventor 邓旭亮周莹莹张学慧平现凤
Owner PEKING UNIV SCHOOL OF STOMATOLOGY
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