$$\rightleftharpoonup{xx}$$
$$\longleftharp{xx}$$,
$$\longrightharp{xx}$$,
Human pluripotent stem cells (hPSCs)1,2 self-renew unlimitedly and differentiate into various tissue lineages, which could revolutionize drug development, cell-based therapies, tissue engineering, and regenerative medicine3,4,5,6. General culture dishes and microtiter plates, however, are not designed to enable precise physical and chemical cell manipulation at the cellular level with the range of nano- to micro-meters, which is a critical factor for cellular expansion, self-renewal, and differentiation. To address this drawback, studies have investigated the roles of cellular microenvironments in regulating cell-fate decisions and cell functions4. In recent years, an increasing number of studies have been conducted to reconstruct cellular microenvironments in vitro7,8. Nano- and micro-fabrication processes have established these microenvironments through the manipulation of chemical9,10,11,12,13,14,15,16,17 and physical18,19,20 environmental cues. Until now, there were no reports to systematically investigate the underlying mechanisms of chemical and physical environmental cues on cell-fate decisions and functions within a single platform.
Here, we introduce a strategy based on simple design principles to establish a robust screening platform (Figure 1). First, we describe the development procedure of an integrated platform for creating versatile, artificial cellular microenvironments by using a nanofiber array and a microfluidic structure: The Multiplexed Artificial Cellular MicroEnvironment (MACME) array (Figure 1A and 2A). The nanofiber array has 12 different microenvironments in varying combinations of nanofiber materials and densities. Electrospinning was used to fabricate nanofibers. The nanofiber materials, such as polystyrene (PS)21, polymethylglutarimide (PMGI)22, and gelatin (GT)23, were designed to test their chemical properties, which might affect cell adhesion and maintenance of pluripotency (Figure 2B). Nanofiber densities were varied by changing electrospinning time and the generated nanofibers were defined according to their densities (DNF, with D = XLow/Low/Mid/High). The microfluidic structure is composed of polydimethylsiloxane (PDMS) harboring 48 cell-culture chambers, which can be positioned along the standard dimensions of the 96-well microplate. PDMS is a biocompatible and gas-exchangeable polymer generally used to fabricate microfluidic devices24. Each microfluidic channel was designed to be 700-µm wide and 8.4-mm long and had two inlets at its edges (Table 1). The chambers had different heights (250, 500, and 1000 µm) to manipulate the initial cell-seeding densities (0.3, 0.6, and 1.2 × 105 cells/cm2), which might correlate with survival, proliferation, and differentiation of hPSCs25 (Figure 2C). The number of cells seeded into a chamber is proportional to the column density above the chamber floor, and thus initial cell seeding density was controlled by introducing the same cell suspension into culture chambers with different heights. All channels were designed to be ≥ 250-µm-high26 to minimize the effects of low-oxygen tension27 and shear stress28 on the cells. Channel heights of 250, 500, and 1000 µm are abbreviated here as XCD with X = Low, Mid, and High, respectively. The environments with distinct nanofiber densities and initial cell-seeding densities were shortened as "Material_NF density_Cell density" (e.g., GT_HighNF_HighCD: an environment characterized by high-density GT nanofibers and high initial cell-seeding density).
Subsequently, we describe how to perform single-cell analyses to systematically investigate cell behavior in response to environmental factors (Figure 1B). As a proof-of-concept, we identified the optimal cellular environment for hPSC self-renewal, which is a key function for hPSC maintenance (Figure 1B)29. Image-based cytometry, followed by statistical analyses, allows for quantitative interpretation of individual cellular phenotypic responses to cellular environments. Among a variety of cellular functions, this paper provides a detailed procedure to identify the optimal conditions for maintaining hPSC self-renewal.