Fundamental knowledge gaps exist with respect to the plasticity of cells from adult soma and the potential diversity of body shape and behavior in living constructs derived from such genetically wild-type cells. Here we introduce Anthrobots, a spheroid-shaped multicellular biological robot platform with diameters ranging from 30 to 500 microns. Anthrobots have an inherent capacity for motility in aqueous environments, via cilia covering their surface. Each Anthrobot starts out as a single cell, derived from the adult human lung, and self-construct into a multicellular motile biological machine after having been cultured in extra cellular matrix for 2 weeks, followed by a transfer into a minimally viscous and adhesive habitat. Anthrobots exhibit a wide range of behaviors with motility patterns ranging from tight loops to straight lines with speeds ranging from 5-50 microns/second. Our anatomical investigations reveal that this diversity in their movement types is significantly correlated with their diversity in morphological types. Anthrobots can assume diverse morphologies from fully polarized to wholly ciliated bodies with spherical or ellipsoidal shapes, each correlating with a distinct movement type. Anthrobots were found to be able to traverse live human tissues in various ways as a function of these different movement types. Remarkably, Anthrobots are shown to be able to induce rapid repair of wounds in human neural cell sheets in vitro. By controlling microenvironmental cues, entirely novel structure, behavior, and biomedically-relevant capabilities can be discovered in morphogenetic processes not requiring direct genetic manipulation.
In this direct replication of Mueller and Oppenheimer’s (2014) Study 1, participants watched a lecture while taking notes with a laptop ( n = 74) or longhand ( n = 68). After a brief distraction and without the opportunity to study, they took a quiz. As in the original study, laptop participants took notes containing more words spoken verbatim by the lecturer and more words overall than did longhand participants. However, laptop participants did not perform better than longhand participants on the quiz. Exploratory meta-analyses of eight similar studies echoed this pattern. In addition, in both the original study and our replication, higher word count was associated with better quiz performance, and higher verbatim overlap was associated with worse quiz performance, but the latter finding was not robust in our replication. Overall, results do not support the idea that longhand note taking improves immediate learning via better encoding of information.
All living cells maintain a charge distribution across their cell membrane (membrane potential) by carefully controlled ion fluxes. These bioelectric signals regulate cell behavior (such as migration, proliferation, differentiation) as well as higher-level tissue and organ patterning. Thus, voltage gradients represent an important parameter for diagnostics as well as a promising target for therapeutic interventions in birth defects, injury, and cancer. However, despite much progress in cell and molecular biology, little is known about bioelectric states in human stem cells. Here, we present simple methods to simultaneously track ion dynamics, membrane voltage, cell morphology, and cell activity (pH and ROS), using fluorescent reporter dyes in living human neurons derived from induced neural stem cells (hiNSC). We developed and tested functional protocols for manipulating ion fluxes, membrane potential, and cell activity, and tracking neural responses to injury and reinnervation in vitro. Finally, using morphology sensor, we tested and quantified the ability of physiological actuators (neurotransmitters and pH) to manipulate nerve repair and reinnervation. These methods are not specific to a particular cell type and should be broadly applicable to the study of bioelectrical controls across a wide range of combinations of models and endpoints.
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