Mitochondrial Transfer in Cancer: A Comprehensive Review.

Depending on their tissue of origin, genetic and epigenetic marks and microenvironmental influences, cancer cells cover a broad range of metabolic activities that fluctuate over time and space. At the core of most metabolic pathways, mitochondria are essential organelles that participate in energy and biomass production, act as metabolic sensors, control cancer cell death, and initiate signaling pathways related to cancer cell migration, invasion, metastasis and resistance to treatments. While some mitochondrial modifications provide aggressive advantages to cancer cells, others are detrimental. This comprehensive review summarizes the current knowledge about mitochondrial transfers that can occur between cancer and nonmalignant cells. Among different mechanisms comprising gap junctions and cell-cell fusion, tunneling nanotubes are increasingly recognized as a main intercellular platform for unidirectional and bidirectional mitochondrial exchanges. Understanding their structure and functionality is an important task expected to generate new anticancer approaches aimed at interfering with gains of functions (e.g., cancer cell proliferation, migration, invasion, metastasis and chemoresistance) or damaged mitochondria elimination associated with mitochondrial transfer.

In-Plate Cryopreservation of 2D and 3D Cell Models: Innovative Tools for Biomedical Research and Preclinical Drug Discovery.

Cell-based assays performed in multiwell plates are utilized in basic and translational research in a variety of cell models. The assembly of these multiwell platforms and their use is often laboratory specific, preventing the standardization of methods and the comparison of outputs across different analytical sites. Moreover, when cell models are based on primary cells with specialized culture requirements, including three-dimensional (3D) cell culture, their complexity and the need for manipulation by experienced operators can add significant cost and introduce long lead times to analysis, both of which are undesirable in any preclinical situation. To address this issue, we explored adaptations of cryopreservation technology that allow cells to be cryopreserved in-plate, ready for use in analysis, and have developed a method applicable to cells from different origins and different culture formats. Here we describe the application of this technology to conventional two-dimensional (2D) monolayers of human mesenchymal stem cells (MSCs) and human macrophages derived from primary monocytes, and to 3D cultures of hepatic organoids, colon organoids, and colon tumor organoids, each presented for cryopreservation in their obligate extracellular matrix. We demonstrated that cell viability, cell physiology, and cytotoxic sensitivity were maintained after cryopreservation, such that the models offer the means to uncouple model assembly from analytical use and to standardize cell models in product form for distribution to end users.

Can asymmetric post-translational modifications regulate the behavior of STAT3 homodimers?

Signal transducer and activator of transcription 3 (STAT3) is a ubiquitous and pleiotropic transcription factor that plays essential roles in normal development, immunity, response to tissue damage and cancer. We have developed a Venus-STAT3 bimolecular fluorescence complementation assay that allows the visualization and study of STAT3 dimerization and protein-protein interactions in living cells. Inactivating mutations on residues susceptible to post-translational modifications (PTMs) (K49R, K140R, K685R, Y705F and S727A) changed significantly the intracellular distribution of unstimulated STAT3 dimers when the dimers were formed by STAT3 molecules that carried different mutations (ie they were "asymmetric"). Some of these asymmetric dimers changed the proliferation rate of HeLa cells. Our results indicate that asymmetric PTMs on STAT3 dimers could constitute a new level of regulation of STAT3 signaling. We put forward these observations as a working hypothesis, since confirming the existence of asymmetric STAT3 homodimers in nature is extremely difficult, and our own experimental setup has technical limitations that we discuss. However, if our hypothesis is confirmed, its conceptual implications go far beyond STAT3, and could advance our understanding and control of signaling pathways.

3D gastrointestinal models and organoids to study metabolism in human colon cancer.

Recent advances in the field of cancer metabolism raised awareness for the importance of the tumour microenvironment in tumour growth and progression. The initial theory by Heinrich Warburg was that cancer cells had a deficient oxidative respiration and thus had to perform aerobic glycolysis to produce energy. However, further research suggested that there is a metabolic reprogramming within the tumour microenvironment, controlled by communication between tumour and stromal cells. The importance of this communication exposes the need to use complex models in cancer research. Until recently, classic cell models included immortalized 2D cell lines or patient-derived tumour xenografts. Despite having contributed to many discoveries, these models present many limitations. Improved models are now being developed using 3D cell culture technology. These models are more physiologically relevant allowing the co-culture of different cells types and establishing a gradient concentration of solutes. Recent developments in organoid technology contributed largely to the expansion of 3D cell technology. Organoids can be developed from different tissues including tumours, representing the cell population and spatial organization of the tissue of origin. In the field of cancer metabolism, the interaction of different cell types, the stroma, and the different solutes and oxygen concentrations are crucial parameters. Current models to study metabolism either include only one cell population or are unable to represent solute/oxygen gradients or to collect samples in a proficient manner. The characteristics of organoid culture thus makes them a potent model to use in metabolic studies, drug development, disease model or even personalized medicine.