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International Journal of Bioprinting               Laser bioprinting of hiPSC-derived neural stem cells and neurons



            1. Introduction                                    laser-based bioprinting  applied in this study, results  on
                                                               potential cell impairment are not directly transferable. We
            Three-dimensional (3D)-bioprinted organ models are   prefer laser-based bioprinting due to its versatility, to print
            promising alternatives for testing of pharmaceuticals,   droplets of cell-containing sols (non-gelled precursors
            chemicals, or cosmetics on animals or simple cell cultures.   of gels) with low or high cell density (>10   mL ) and
                                                                                                    8
                                                                                                        -1
            They could also provide better understanding into cellular   low or high viscosity (1 mPa·s up to more than 1 Pa·s for
            mechanisms of specific diseases and, by applying patient-  printing of cells) with volumes from a few picoliters up to
            derived  cells,  could  enable generation  of patient-specific   the nanoliter range. For instance, Chrisey et al. published
            disease models for personalized medicine.
                                                               two studies of printing rat neuronal cells with laser-based
               For  neural  disorders,  like  epilepsy,  schizophrenia,   bioprinting, applying a neuronal blastoma cell line  and
                                                                                                        [42]
            bipolar  disorder,  Parkinson’s  disease,  or  Alzheimer’s   dorsal root ganglion neurons . They applied different
                                                                                       [23]
            disease, which affect more than one out of seven people ,   biomaterials in each study and investigated cell survival
                                                        [1]
            different cell-based brain models are being investigated ,   after printing. To the best of our knowledge, however, a
                                                        [2]
            which usually are based on simple cell culture systems,   direct comparison of the behavior of different neural cell
            3D cell cultures in hydrogels, cell-seeded scaffolds, or cell   types upon laser-based bioprinting has not been explored
            aggregates (organoids, spheroids) [3-11] . 3D bioprinting could   yet, and has only been investigated to a very limited extent
            advance such models toward 3D brain tissue constructs   in studies applying other printing technologies  [43,44] .
            with a higher level of complexity and functionality.
                                                                  Having all the different options for cells raises the
               For personalized brain models, patient-derived neural   following questions: (i) Which cellular differentiation
            cells can be generated by reprogramming cells from blood or   stages are optimal for printing brain tissue models? (ii) For
            skin to human induced-pluripotent stem cells (hiPSCs) [12,13]    these differentiation stages, does co-printing of other cell
            and differentiating them to multipotent neural stem cells   types like glial cells support neuronal network formation?
            (NSCs)  and further down the neuronal differentiation   In this study, we investigated laser printing of NSCs
                  [14]
            pathway. Thus, different types of required cells like neurons,   and  pre-differentiated  neurons,  partially  together  with
            glial cells such as astrocytes or oligodendrocytes, and   astrocytes, which were all derived from hiPSCs.
            endothelial cells can be generated [15-17]  and 3D-bioprinted   In a previous study, we compared the application
            with determined brain-tissue-like patterning.
                                                               of different biomaterials for printing of hiPSCs  and
                                                                                                       [45]
               Published studies demonstrating the printing of   found that the best approach was to print with a bioink
            neural cells applied mouse, rat, or human cells. These   composed of hyaluronic acid and cell culture medium onto
            were primary neurons (rat [18-24]  and mouse ), primary   a layer of Matrigel . Given these findings, we used the
                                                                              TM
                                                [25]
            neural stem and progenitor cells or neural stem cell lines   same biomaterials in our experiments on hiPSC-derived
            (mouse [26,27] ), neural progenitor cell lines (human ), or   NSCs presented here. Matrigel  was also used by other
                                                                                        TM
                                                     [18]
            neurons and neural stem and progenitor cells derived from   groups [28,30,42]  for printing of neural cells.
            iPSCs (mouse  and human [28-33] ). Gu et al. printed hiPSCs   Our present study includes assessment of post-printing
                       [28]
            and differentiated them to neurons post-printing  and   viability  and proliferation  of NSCs and  pre-differentiated
                                                    [34]
            also used immortalized human neural progenitor cells .   neurons (all derived from hiPSCs), maintenance of NSCs
                                                        [35]
            Aside from neural stem cells and neurons, glial cells such   stemness, differentiation of printed NSCs toward neurons
            as astrocytes (rat ), oligodendrocytes (mouse iPSC-  and glia cells, formation of dendrites and synapses by
                           [19]
            derived ), and Schwann cells (rat [36-40] , porcine ) were   printed NSCs during differentiation, as well as statistical
                  [28]
                                                   [41]
            printed.
                                                               evaluation of the functionality of neuronal networks formed
               For different printing technologies and bioinks,   by printed post-differentiated NSCs and neurons. We used
            these studies demonstrated printing of neural cells in   fluorescence calcium imaging to monitor and evaluate the
            controlled patterns, achieving high viability post-printing,   behavior of the printed neuronal networks. Thereby, the
            maintenance of neuronal phenotypes, morphology, and   frequency and intensity of collective neuronal activity, i.e.,
            basic electrophysiological functions [18,21-23,25,29,30,32,37-39,41] ;   events in which many neurons are active simultaneously, are
            neurite outgrowth, formation of synaptic contacts and   considered a measure of the functionality of these networks.
            networks, as well as spontaneous and stimulated neuronal   NSCs were compared with NSCs cultivated under
            activity were shown [19,20,22,24,25,28,32,35] .
                                                               neuronal differentiation conditions (pre-differentiated) for 5,
               For these printing experiments, mostly extrusion   10, or 20 days to identify the optimal differentiation stage for
            and inkjet printers were used. Since their nozzle-based   generating neuronal networks by laser printing. Furthermore,
            printing techniques differ fundamentally from nozzle-free   we also studied whether co-printing of astrocytes increases

            Volume 9 Issue 2 (2023)                        345                     https://doi.org/10.18063/ijb.v9i2.672
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