{"title":"干细胞培养生物材料的筛选","authors":"Margot J Amitrano, Mina Cho, William L Murphy","doi":"10.1021/acsbiomaterials.5c00088","DOIUrl":null,"url":null,"abstract":"<p><p>Stem cells have a considerable role to play in future biomedical breakthroughs due to their therapeutic potential. As stem cells may be studied in a variety of different applications, a \"one size fits all\" approach to the stem cell culture substrate is not appropriate. Different biomaterial formulations may be necessary in different contexts. Screening can help identify biomaterials for specific applications to harness stem cells' full potential. In this review, we cover experimental setups appropriate for screening applications, as well as data collection tools for both material and cell characterization. Finally, we cover high throughput data processing techniques, emphasizing the potential of introducing machine learning (ML) techniques into the analytical process. With increased use of ML-based analytical techniques, biomaterial screening has the potential to contribute to the rapid development of biomaterials for targeted stem cell applications.</p>","PeriodicalId":8,"journal":{"name":"ACS Biomaterials Science & Engineering","volume":" ","pages":"3816-3825"},"PeriodicalIF":5.5000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Screening of Biomaterials for Stem Cell Culture Applications.\",\"authors\":\"Margot J Amitrano, Mina Cho, William L Murphy\",\"doi\":\"10.1021/acsbiomaterials.5c00088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Stem cells have a considerable role to play in future biomedical breakthroughs due to their therapeutic potential. As stem cells may be studied in a variety of different applications, a \\\"one size fits all\\\" approach to the stem cell culture substrate is not appropriate. Different biomaterial formulations may be necessary in different contexts. Screening can help identify biomaterials for specific applications to harness stem cells' full potential. In this review, we cover experimental setups appropriate for screening applications, as well as data collection tools for both material and cell characterization. Finally, we cover high throughput data processing techniques, emphasizing the potential of introducing machine learning (ML) techniques into the analytical process. With increased use of ML-based analytical techniques, biomaterial screening has the potential to contribute to the rapid development of biomaterials for targeted stem cell applications.</p>\",\"PeriodicalId\":8,\"journal\":{\"name\":\"ACS Biomaterials Science & Engineering\",\"volume\":\" \",\"pages\":\"3816-3825\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Biomaterials Science & Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1021/acsbiomaterials.5c00088\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/6/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Biomaterials Science & Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1021/acsbiomaterials.5c00088","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/9 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Screening of Biomaterials for Stem Cell Culture Applications.
Stem cells have a considerable role to play in future biomedical breakthroughs due to their therapeutic potential. As stem cells may be studied in a variety of different applications, a "one size fits all" approach to the stem cell culture substrate is not appropriate. Different biomaterial formulations may be necessary in different contexts. Screening can help identify biomaterials for specific applications to harness stem cells' full potential. In this review, we cover experimental setups appropriate for screening applications, as well as data collection tools for both material and cell characterization. Finally, we cover high throughput data processing techniques, emphasizing the potential of introducing machine learning (ML) techniques into the analytical process. With increased use of ML-based analytical techniques, biomaterial screening has the potential to contribute to the rapid development of biomaterials for targeted stem cell applications.
期刊介绍:
ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics:
Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology
Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions
Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis
Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering
Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends
Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring
Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration
Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials
Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture