REVIEW article
Front. Chem. Eng.
Sec. Biochemical Engineering
Volume 7 - 2025 | doi: 10.3389/fceng.2025.1629455
This article is part of the Research TopicBioinformatic Approaches to Tissue EngineeringView all articles
-Omics Approaches to Study and Model Cell-Cell Interactions in Engineered Tissues
Provisionally accepted
- University of Wisconsin-Madison, Madison, United States
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Omics technologies have emerged as powerful tools to uncover cellular diversity within tissues, and the role of cell-cell communication in tissue development, function, and disease. In this review, we will discuss recent advancements in -omics technologies that are used to interrogate the biomolecular mechanisms that underly tissue form and function. We will specifically discuss the application ofomics technologies, along with bioinformatic tools, towards identifying new cell types and cell-cell interactions within native tissues. We will then examine how insights from -omics technologies can inform the design of engineered tissues, particularly through the lens of recapitulating native cell-cell interactions. Finally, we will discuss how -omics can be employed to benchmark and analyze engineered tissues for applications that span fundamental science and translation. Overall, the integration of -omics and tissue engineering will improve our understanding of the roles of cellular diversity and cell-cell communication in regulating tissue health and disease and subsequently inform how cell-cell interactions can be leveraged to design therapies for human health applications.
Keywords: Tissue engineering1, cell-cell interactions2, cell diversity3, genomics4, transcriptomics5, Proteomics6, metabolomics7. (Min
Received: 15 May 2025; Accepted: 13 Aug 2025.
Copyright: © 2025 Stark, Jenison and Ngo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mai T Ngo, University of Wisconsin-Madison, Madison, United States
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