2023
DOI: 10.1016/j.mattod.2023.01.018
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Omics-based approaches to guide the design of biomaterials

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Cited by 12 publications
(7 citation statements)
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“…There have been studies demonstrated that the chemical and physical signals could interact with receptors in cell membranes and activate intracellular signalling pathways which could regulate cell behaviors and determine cell fate. 272 Thus, it is significant to fabricate PMs with proper surface topology and chemical compositions to improve cell microenvironment and facilitate tissue regeneration. For instance, PLGA/PLGA- b -PEG microspheres with controllable fuzzy surface textures were fabricated based on the interfacial instability of an emulsion.…”
Section: Biomedical Applicationsmentioning
confidence: 99%
“…There have been studies demonstrated that the chemical and physical signals could interact with receptors in cell membranes and activate intracellular signalling pathways which could regulate cell behaviors and determine cell fate. 272 Thus, it is significant to fabricate PMs with proper surface topology and chemical compositions to improve cell microenvironment and facilitate tissue regeneration. For instance, PLGA/PLGA- b -PEG microspheres with controllable fuzzy surface textures were fabricated based on the interfacial instability of an emulsion.…”
Section: Biomedical Applicationsmentioning
confidence: 99%
“…Genetic ad epigenetic alterations, mRNA and protein expression, gene modifications and metabolite levels can be analyzed using omic techniques. 201 In addition, the prediction of cell–biomaterial interactions using omic techniques has the potential to transform biomedical research, as they can replace the traditional “trial-and-error” methods with high-throughput functional readouts of the genome, epigenome, transcriptome, proteome and metabolome. 202 Rigorous computational analysis based on omic techniques can offer valuable insights into biological responses to biomaterials.…”
Section: Summary and Perspectivesmentioning
confidence: 99%
“…Multi-omic techniques can enable phenotypic mapping, which may provide valuable insights into the requirements and characteristics of individual patients. 201 Based on the integration of multi-omic data, machine learning (ML)-based predictive algorithms can elucidate the intricate interplay between cells and biomaterials. ML offers innovative methods for integrating and analyzing diverse omic data and understanding cell–biomaterial interactions through molecular pathway analysis.…”
Section: Summary and Perspectivesmentioning
confidence: 99%
“…In recent years, the remarkable growth of omics technologies has revolutionized various fields, enabling high-throughput analysis of biological data in genomics, proteomics, metabolomics and other areas, presenting vast opportunities in personalized medicine [27,28], biomarkers and drug discovery [29][30][31], disease research [32][33][34] and regenerative medicine [35]. However, forensic sciences have only recently started to embrace omics approaches in research contexts [36], and even less so into routine use for caseworks.…”
Section: Introductionmentioning
confidence: 99%