DataVXSmall MethodsPaper
journal article·2022-08

An Appearance Data‐Driven Model Visualizes Cell State and Predicts Mesenchymal Stem Cell Regenerative Capacity

Di Wu, Lu Zhao, Bingdong Sui, Lingping Tan, Lu Lu, Xueli Mao, Guiqing Liao, Songtao Shi, Yang Cao, Xiaobao Yang, Xiaoxing Kou

Small Methods· Volume 6· Issue 8
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Source abstract

Abstract

Abstract Mesenchymal stem cells (MSCs) are widely used in treating various diseases. However, lack of a reliable evaluation approach to characterize the potency of MSCs has dampened their clinical applications. Here, a function‐oriented mathematical model is established to evaluate and predict the regenerative capacity (RC) of MSCs. Processed by exhaustive testing, the model excavates four optimal fitted indices, including nucleus roundness, nucleus/cytoplasm ratio, side‐scatter height, and ERK1/2 from the given index combinations. Notably, three of them except ERK1/2 are cell appearance‐associated features. The predictive power of the model is validated via screening experiments of these indices by predicting the RC of newly enrolled and chemical inhibitor‐treated MSCs. Further RNA‐sequencing analysis reveals that cell appearance‐based indices may serve as major indicators to visualize the results of integration‐weighted signals in and out of cells and reflect MSC stemness. In general, this study proposes an appearance data‐driven predictive model for the RC and stemness of MSCs.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Mesenchymal stem cell research · MicroRNA in disease regulation · Molecular Biology Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Hospital of Stomatology Guanghua School of Stomatology South China Center of Craniofacial Stem Cell Research Guangdong Provincial Key Laboratory of Stomatology Sun Yat‐sen University Guangzhou 510055 China

Hospital of Stomatology Guanghua School of Stomatology Department of Oral and Maxillofacial Surgery Guangdong Provincial Key Laboratory of Stomatology Sun Yat‐sen University Guangzhou 510055 China

Hospital of Stomatology Guanghua School of Stomatology Department of Orthodontics Guangdong Provincial Key Laboratory of Stomatology Sun Yat‐sen University Guangzhou 510055 China

State Key Laboratory of Military Stomatology National Clinical Research Center for Oral Diseases Shaanxi International Joint Research Center for Oral Diseases Center for Tissue Engineering School of Stomatology The Fourth Military Medical University Xi'an 710032 China

Key Laboratory of Stem Cells and Tissue Engineering Ministry of Education Sun Yat‐sen University Guangzhou 510080 China

School of Physics and Optoelectronics South China University of Technology Guangzhou 510640 China

Funding

National Natural Science Foundation of China · Pearl River S and T Nova Program of Guangzhou

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