Recapitulation and Modulation of the Cellular Architecture of a User-Chosen Cell of Interest Using Cell-Derived, Biomimetic Patterning

TitleRecapitulation and Modulation of the Cellular Architecture of a User-Chosen Cell of Interest Using Cell-Derived, Biomimetic Patterning
Publication TypeJournal Article
Year of Publication2015
AuthorsSlater, JH, Culver, JC, Long, BL, Hu, CW, Hu, J, Birk, TF, Qutub, AA, Dickinson, ME, West, JL
JournalACS Nano
Pagination150522134039004
Date Published05/2015
ISSN1936-086X
Keywordsactin cytoskeleton; biomimetic; cell adhesion; cell arrays; cell engineering; cell patterning; cell population heterogeneity; cell population homogeneity; cell-derived patterning; image-guided patterning; laser scanning lithography; Mechanotransduction; nanopatterning; SELF-ASSEMBLED MONOLAYERS
Abstract

Heterogeneity of cell populations can confound population-averaged measurements and obscure important findings or foster inaccurate conclusions. The ability to generate a homogeneous cell population, at least with respect to a chosen trait, could significantly aid basic biological research and development of high-throughput assays. Accordingly, we developed a high-resolution, image-based patterning strategy to produce arrays of single-cell patterns derived from the morphology or adhesion site arrangement of user-chosen cells of interest (COIs). Cells cultured on both cell-derived patterns displayed a cellular architecture defined by their morphology, adhesive state, cytoskeletal organization, and nuclear properties that quantitatively recapitulated the COIs that defined the patterns. Furthermore, slight modifications to pattern design allowed for suppression of specific actin stress fibers and direct modulation of adhesion site dynamics. This approach to patterning provides a strategy to produce a more homogeneous cell population, decouple the influences of cytoskeletal structure, adhesion dynamics, and intracellular tension on mechanotransduction-mediated processes, and a platform for high-throughput cellular assays.

DOI10.1021/acsnano.5b01366
Short TitleACS Nano
Full Text