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Kerins, C.

Publications and source records attributed to Kerins, C..

2 recordsLinked to original sources

ALS mutations do not alter perineuronal net formation in human stem cell-derived motor neurons

Perineuronal nets (PNNs) are extracellular matrix structures that stabilise synaptic inputs and regulate neuronal plasticity. Although PNN dysregulation is observed in several neurological disorders, their relevance to amyotrophic lateral sclerosis (ALS) remains unclear. In particular, the extent to which PNN alterations in ALS are motor neuron (MN)-intrinsic is unknown. We investigated whether human pluripotent stem cell-derived MNs form PNN-like structures in vitro, and whether ALS-associated mutations alter this process. We show that MNs generate PNN-like structures containing hyaluronan, tenascin-R, and aggrecan and that their formation and gene expression were not altered by ALS mutations. To explore whether PNN dysregulation reflects contributions from other cell types or selective MN vulnerability, we conducted meta-analyses of transcriptomic datasets from pluripotent stem cell-derived astrocytes carrying ALS-associated mutations, as well as datasets comparing MN populations with differential susceptibility to ALS. These analyses revealed no consistent differences in PNN-related gene expression in human stem cell-derived MN. In contrast, transcriptomic analyses of human post-mortem ALS tissues revealed significant dysregulation of PNN-related genes, including core PNN components and linker proteins. These findings suggest that PNN changes in ALS are not MN-intrinsic, but may result from interactions with other cell types in the central nervous system such as glia.

neuroscience↗

Optimization of 3D bioprinting of human neuroblastoma cells using sodium alginate hydrogel

There are many parameters in extrusion-based three-dimensional (3D) bioprinting of different materials that require fine-tuning to obtain the optimal print resolution and cell viability. To standardize this process, methods such as parameter optimization index (POI) have been introduced. The POI aims at pinpointing the optimal printing speed and pressure to achieve the highest accuracy keeping theoretical shear stress low. Here we applied the POI to optimize the process of 3D bioprinting human neuroblastoma cell-laden 2% sodium alginate (SA) hydrogel using freeform reversible embedding of suspended hydrogels (FRESH). Our results demonstrate a notable difference between optimal parameters for printing 2% SA with and without cells in the hydrogel. We also detected a significant influence of long-term cell culture on the printed constructs. This observation suggests that the POI has to be evaluated in the perspective of the final application. When taking these conditions into consideration, we could define a set of parameters that resulted in good quality prints maintaining high neuroblastoma cell viability (83% viable cells) during 7 days of cell culture using 2% SA and FRESH bioprinting. These results can be further used to manufacture neuroblastoma in vitro 3D culture systems to be used for cancer research.

bioengineering↗