4.8 Review

Integrating Micro and Nano Technologies for Cell Engineering and Analysis: Toward the Next Generation of Cell Therapy Workflows

Journal

ACS NANO
Volume 16, Issue 10, Pages 15653-15680

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.2c05494

Keywords

cell therapy; cell sorting; cell engineering; intracellular delivery; single cell analysis; bioinformatics; multi-omics; spatial-omics; integrated workflows; clinical translation

Funding

  1. National Cancer Institute of the National Institutes of Health (NIH) [U54CA199091]
  2. NIH [GM132709-01]

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The field of cell therapy has the potential to treat a wide range of diseases with limited treatment options. Recent advancements in micro and nanotechnology have enabled the development of single cell analysis methods and precise manipulation of cells. This review explores how these technologies have influenced the understanding of disease pathophysiology and the development of cell-based therapeutics.
The emerging field of cell therapy offers the potential to treat and even cure a diverse array of diseases for which existing interventions are inadequate. Recent advances in micro and nanotechnology have added a multitude of single cell analysis methods to our research repertoire. At the same time, techniques have been developed for the precise engineering and manipulation of cells. Together, these methods have aided the understanding of disease pathophysiology, helped formulate corrective interventions at the cellular level, and expanded the spectrum of available cell therapeutic options. This review discusses how micro and nanotechnology have catalyzed the development of cell sorting, cellular engineering, and single cell analysis technologies, which have become essential workflow components in developing cell-based therapeutics. The review focuses on the technologies adopted in research studies and explores the opportunities and challenges in combining the various elements of cell engineering and single cell analysis into the next generation of integrated and automated platforms that can accelerate preclinical studies and translational research.

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