A non-destructive culturing and cell sorting method for cardiomyocytes and neurons using a double alginate layer

Content Size-Dependent Alginate Microcapsule Formation Using Centrifugation to Eliminate Empty Microcapsules for On-Chip Imaging Cell Sorter Application

Alginate microcapsules are one of the attractive non-invasive platforms for handling individual cells and clusters, maintaining their isolation for further applications such as imaging cell sorter and single capsule qPCR. However, the conventional cell encapsulation techniques provide huge numbers of unnecessary empty homogeneous alginate microcapsules, which spend an excessive majority of the machine time on observations and analysis. Here, we developed a simple alginate cell encapsulation method to form content size-dependent alginate microcapsules to eliminate empty microcapsules using microcapillary centrifugation and filtration. Using this method, the formed calcium alginate microcapsules containing the HeLa cells were larger than 20m, and the other empty microcapsules were less than 3m under 4000 rpm centrifugation condition. We collected cell-containing alginate microcapsules by eliminating empty microcapsules from the microcapsule mixture with simple one-step filtration of a 20 m cell strainer. The electrical surface charge density and optical permeability of those cell-encapsulated alginate microcapsules were also evaluated. We found that the surface charge density of cell-encapsulated alginate microbeads is more than double that of cells, indicating that less voltage is required for electrical cell handling with thin alginate gel encapsulation of samples. The permeability of the alginate microcapsule was not improved by changing the reflective index of the medium buffer, such as adding alginate ester. However, the minimized thickness of the alginate gel envelope surrounding cells in the microcapsules did not degrade the detailed shapes of encapsulated cells. Those results confirmed the advantage of alginate encapsulation of cells with the centrifugation method as one of the desirable tools for imaging cell sorting applications.

Scaffold free retinal pigment epithelium sheet engineering using modified alginate-RGD hydrogel

Tissue-specific extracellular matrix (ECM) plays a critical role in cell survival and homeostasis, which are particularly essential for directing differentiation of different complex tissues such as retina. However, ECM maintenance should be considered to design an effective therapeutic strategy for retina regeneration. To achieve this, cell sheet engineering has emerged as a growing approach to closely reconstruct basal membrane of cells through a scaffold-free manner. Several irreversible sight-threatening diseases are characterized by the dysfunction and lose of retinal pigment epithelium (RPE), leading to vision loss and eventually total blindness in patients. According to impressive developments in achievement of RPE from human embryonic stem cells (hESCs), we obtained RPE cells without any extrinsic factors in a co-culture system, and cultured them on a temporary alginate hydrogel substrate. Subsequently, Arg-Gly-Asp (RGD) peptide was superficially immobilized on the upper layer of hydrogel to improve cell attachment before harvesting sheet layer. RPE cell sheet layer was released by treating pre-seeded hydrogels with sodium citrate as a calcium chelating agent and characterized in both in vitro and in vivo models. RPE sheets formed tight junction and expressed high levels of retina structural markers such as ZO-1, Bestrophin and Collagen type IV. One week after in vivo transplantation of RPE sheet, cells survived in the subretinal space, indicating that our harvesting method is non-invasive. To sum up, we introduced a unique scaffold-free method for RPE cell sheet engineering, which can find potential use for future therapeutic purposes.

Deciphering the single-cell omic: innovative application for translational medicine

Traditional technologies to investigate system biology are limited by the detection of parameters resulting from the averages of large populations of cells, missing cells produced in small numbers, and attempting to uniform the heterogeneity. The advent of proteomics and genomics at a single-cell level has set the basis for an outstanding improvement in analytical technology and data acquisition. It has been well demonstrated that cellular heterogeneity is closely related to numerous stochastic transcriptional events leading to variations in patterns of expression among single genetically identical cells. The new-generation technology of single-cell analysis is able to better characterize a cell's population, identifying and differentiating outlier cells, in order to provide both a single-cell experiment and a corresponding bulk measurement, through the identification, quantification and characterization of all system biology aspects (genomics, transcriptomics, proteomics, metabolomics, degradomics and fluxomics). The movement of omics into single-cell analysis represents a significant and outstanding shift.