Induced pluripotent stem cell directional differentiation regulation method based on zangfu syndrome differentiation theory

By constructing a dual-modal database and deep learning model based on the theory of visceral differentiation, the optimal combination of differentiation-inducing factors is automatically screened, solving the problems of low efficiency and poor functional adaptability of pluripotent stem cell directed differentiation, and realizing efficient directed differentiation of stem cells and generation of mature functional cells.

CN122290715APending Publication Date: 2026-06-26GUANGDONG KANGDUN HIGH TECH IND GRP CO
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG KANGDUN HIGH TECH IND GRP CO
Filing Date
2026-03-19
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In existing technologies, the efficiency of induced pluripotent stem cell directed differentiation is unstable, with high heterogeneity, and terminally differentiated cells lack mature function, making it difficult to meet clinical transplantation needs.

Method used

A dual-modal database was constructed based on the theory of visceral differentiation. The pathogenesis of viscera and stem cell differentiation pathways was analyzed using a multi-layer Transformer-XL model. The optimal combination of differentiation-inducing factors was automatically screened through graph path search and multi-objective optimization algorithms to achieve the directed differentiation of pluripotent stem cells into target visceral functional cells.

Benefits of technology

It improves the efficiency of stem cell directed differentiation and the functional maturity of target cells, enhances the functional adaptability of stem cells, and meets the needs of clinical transplantation.

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Abstract

This invention discloses a method for regulating the directed differentiation of induced pluripotent stem cells based on the theory of visceral syndrome differentiation, relating to the field of stem cell and regenerative medicine. The method includes the following steps: S1: Constructing a dual-modal database integrating TCM visceral syndrome differentiation data and pluripotent stem cell differentiation omics data; S2: Constructing a cross-modal sequence dataset based on the dual-modal database, training the cross-modal sequence dataset using a multilayer Transformer-XL model, analyzing the long-distance dependencies among visceral pathogenesis, pluripotent stem cell differentiation pathways, and regulatory factors, and obtaining their correlation network; S3: Analyzing the repair needs of target viscera, and automatically selecting the optimal combination of differentiation-inducing factors corresponding to TCM syndromes based on their correlation network; S4: Achieving the directed differentiation of pluripotent stem cells into functional cells of target viscera based on the optimal combination of differentiation-inducing factors. This invention improves the efficiency of stem cell directed differentiation and the functional adaptability of stem cells, and has clinical application value in medicine.
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