Considerable progress has been made in the field of microfluidics to develop complex systems for modeling human skin and dermal wound healing processes. While microfluidic models have attempted to integrate multiple cell types and/or 3D culture systems, to date they have lacked some elements needed to fully represent dermal wound healing. This paper describes a cost‐effective, multicellular microfluidic system that mimics the paracrine component of early inflammation close to normal wound healing. Collagen and Matrigel are tested as materials for coating and adhesion of dermal fibroblasts and human umbilical vein endothelial cells (HUVECs). The wound‐on‐chip model consists of three interconnecting channels and is able to simulate wound inflammation by adding tumor necrosis factor alpha (TNF‐α) or by triculturing with macrophages. Both the approaches significantly increase IL‐1β, IL‐6, IL‐8 in the supernatant (p < 0.05), and increases in cytokine levels are attenuated by cotreatment with an anti‐inflammatory agent, Dexamethasone. Incorporation of M1 and M2 macrophages cocultured with fibroblasts and HUVECs leads to a stimulation of cytokine production as well as vascular structure formation, particularly with M2 macrophages. In summary, this wound‐on‐chip system can be used to model the paracrine component of the early inflammatory phase of wound healing and has the potential for the screening of anti‐inflammatory compounds.

Among the multiple metabolic signals involved in the establishment of the hepatic zonation, oxygen could play a key role. Indeed, depending on hepatocyte position in the hepatic lobule, gene expression and metabolism are differently affected by the oxygen gradient present across the lobule. The aim of this study is to understand whether an oxygen gradient, generated in vitro in our developed device, is sufficient to instruct a functional metabolic zonation during the differentiation of human embryonic stem cells (hESCs) from endoderm toward terminally differentiated hepatocytes, thus mimicking the in vivo situation. For this purpose, a microfluidic device was designed for the generation of a stable oxygen gradient. The oxygen gradient was applied to differentiating hESCs at the pre-hepatoblast stage. The definitive endoderm and hepatic endoderm cells were characterized by the expression of the transcription factor SOX-17 and alpha-fetoprotein (AFP). Immature and mature hepatocytes were characterized by hepatocyte nuclear factor 4-alpha (HNF-4α) and albumin (ALB) expression and also analyzed for cytochrome P450 (CYP3A4) zonation and glycogen accumulation through PAS staining. Metabolic zonated genes expression was assessed through quantitative real time PCR. Application of the oxygen gradient during differentiation induced zonated glycogen storage, which was higher in the hepatocytes grown in high pO₂ compared to those grown in low pO₂. The mRNA levels of glutamine synthetase (GLUL), beta-catenin (CTNNB) and its direct target cyclin D1 (CCND1) showed significantly higher expression in the cells grown in low pO₂ compared to those grown in high pO₂. On the contrary, carbamoyl-phosphate synthetase 1 (CPS1), ALB, the proliferative marker ki67 (MKI67) and cyclin A (CCNA) resulted to be significantly higher expressed in cells cultured in high pO₂ compared to those cultured in low pO₂. These results indicate that the oxygen gradient generated in our device can instruct the establishment of a functional metabolic zonation in differentiating hESCs. The possibility to obtain differentiated hepatocytes in vitro may allow in the future to deepen our knowledge about the physiology/pathology of hepatocytes in relation to the oxygen content.

Cyanobacteria are important agents in global carbon and nitrogen cycling and hold great promise for biotechnological applications. Model organisms such as Synechocystis sp. and Synechococcus sp. have advanced our understanding of photosynthetic capacity and circadian behavior, mostly using population-level measurements in which the behavior of individuals cannot be monitored. Synechocystis sp. cells are small and divide slowly, requiring long-term experiments to track single cells. Thus, the cumulative effects of drift over long periods can cause difficulties in monitoring and quantifying cell growth and division dynamics. To overcome this challenge, we enhanced a microfluidic cell-culture device and developed an image analysis pipeline for robust lineage reconstruction. This allowed simultaneous tracking of many cells over multiple generations, and revealed that cells expand exponentially throughout their cell cycle. Generation times were highly correlated for sister cells, but not between mother and daughter cells. Relationships between birth size, division size, and generation time indicated that cell-size control was inconsistent with the “sizer” rule, where division timing is based on cell size, or the “timer” rule, where division occurs after a fixed time interval. Instead, single cell growth statistics were most consistent with the “adder” rule, in which division occurs after a constant increment in cell volume. Cells exposed to light-dark cycles exhibited growth and division only during the light period; dark phases pause but do not disrupt cell-cycle control. Our analyses revealed that the “adder” model can explain both the growth-related statistics of single Synechocystis cells and the correlation between sister cell generation times. We also observed rapid phenotypic response to light-dark transitions at the single cell level, highlighting the critical role of light in cyanobacterial cell-cycle control. Our findings suggest that by monitoring the growth kinetics of individual cells we can build testable models of circadian control of the cell cycle in cyanobacteria.

Analysis of cardiomyocyte cellular responses to ischemia mimetic events by accurately controlling fast oxygen dynamics through microfluidic devices.