A pH-sensor scaffold for mapping spatiotemporal gradients in three-dimensional in vitro tumour models

• DOI: 10.1016/j.bios.2022.114401
• Publication Date: 2022-05-19T01:02:07Z
• Authors: Riccardo Rizzo; Valentina Onesto; Stefania Forciniti; Anil Chandra; Saumya Prasad; Helena Iuele; Francesco Colella; Giuseppe Gigli; Loretta L. del Me...
• Keywords: Tumour microenvironment; Cell metabolism; 0303 health sciences; Alginate microgels; Cell metabolism; Computational analysis; In vitro 3D tumour models; Optical pH-sensors; Tumour microenvironment; Alginates; Humans; Hydrogen-Ion Concentration; Biosensing Techniques; Microgels; Neoplasms; Microgels; Alginates; Biosensing Techniques; Hydrogen-Ion Concentration; Optical pH-sensors; 3. Good health; In vitro 3D tumou; 03 medical and health sciences; Neoplasms; Alginate microgels; Humans; Physics - Biological Physics; Computational analysis

The detection of extracellular pH at single cell resolution is challenging and requires advanced sensibility. Sensing pH at high spatial and temporal resolution might provide crucial information in understanding the role of pH and its fluctuations in a wide range of physio-pathological cellular processes, including cancer. Here, a method to embed silica-based fluorescent pH sensors into alginate-based three-dimensional (3D) microgels tumour models, coupled with a computational method for fine data analysis, is presented. By means of confocal laser scanning microscopy, live-cell time-lapse imaging of 3D alginate microgels was performed and the extracellular pH metabolic variations were monitored in both in vitro 3D mono- and 3D co-cultures of tumour and stromal pancreatic cells. The results show that the extracellular pH is cell line-specific and time-dependent. Moreover, differences in pH were also detected between 3D monocultures versus 3D co-cultures, thus suggesting the existence of a metabolic crosstalk between tumour and stromal cells. In conclusion, the system has the potential to image multiple live cell types in a 3D environment and to decipher in real-time their pH metabolic interplay under controlled experimental conditions, thus being also a suitable platform for drug screening and personalized medicine.