Literature DB >> 30917060

Technologies for the Directed Evolution of Cell Therapies.

Dino Di Carlo1.   

Abstract

The next generation of therapies is moving beyond the use of small molecules and proteins to using whole cells. Compared with the interactions of small-molecule drugs with biomolecules, which can largely be understood through chemistry, cell therapies act in a chemical and physical world and can actively adapt to that world, amplifying complexity but also the potential for truly breakthrough impact. Although there has been success in introducing targeting proteins into cells to achieve a therapeutic effect, for example, chimeric antigen receptor (CAR) T cells, our ability to engineer cells is generally limited to introducing proteins, but not modulating large-scale traits or structures of cellular "machines," which play critical roles in disease. Example traits include the ability to secrete compounds, deform through tissue, adhere to surrounding cells, apply force to phagocytose targets, or move through extracellular matrix. There is an opportunity to increase the efficacy of cell therapies through the use of quantitative automation tools, to analyze, sort, and select rare cells with beneficial traits. Combined with methods of genetic or epigenetic mutagenesis to create diversity, such approaches can enable the directed cellular evolution of new therapeutically optimal populations of cells and uncover genetic underpinnings of these optimal traits.

Entities:  

Keywords:  artificial selection; cell therapy; directed evolution; microfluidics; microtechnology; single-cell analysis

Mesh:

Year:  2019        PMID: 30917060     DOI: 10.1177/2472630319834897

Source DB:  PubMed          Journal:  SLAS Technol        ISSN: 2472-6303            Impact factor:   3.047


  4 in total

1.  IL-2 secretion-based sorting of single T cells using high-throughput microfluidic on-cell cytokine capture.

Authors:  Robert Dimatteo; Dino Di Carlo
Journal:  Lab Chip       Date:  2022-04-12       Impact factor: 7.517

2.  Sequentially addressable dielectrophoretic array for high-throughput sorting of large-volume biological compartments.

Authors:  A Isozaki; Y Nakagawa; M H Loo; Y Shibata; N Tanaka; D L Setyaningrum; J-W Park; Y Shirasaki; H Mikami; D Huang; H Tsoi; C T Riche; T Ota; H Miwa; Y Kanda; T Ito; K Yamada; O Iwata; K Suzuki; S Ohnuki; Y Ohya; Y Kato; T Hasunuma; S Matsusaka; M Yamagishi; M Yazawa; S Uemura; K Nagasawa; H Watarai; D Di Carlo; K Goda
Journal:  Sci Adv       Date:  2020-05-29       Impact factor: 14.136

Review 3.  Single-cell sorting based on secreted products for functionally defined cell therapies.

Authors:  Hiromi Miwa; Robert Dimatteo; Joseph de Rutte; Rajesh Ghosh; Dino Di Carlo
Journal:  Microsyst Nanoeng       Date:  2022-07-22       Impact factor: 8.006

4.  High-throughput selection of cells based on accumulated growth and division using PicoShell particles.

Authors:  Mark van Zee; Joseph de Rutte; Rose Rumyan; Cayden Williamson; Trevor Burnes; Randor Radakovits; Andrew Sonico Eugenio; Sara Badih; Sohyung Lee; Dong-Hyun Lee; Maani Archang; Dino Di Carlo
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-25       Impact factor: 12.779

  4 in total

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