Ai Feedback
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These results highlight the need to characterize the final properties of MNPs after protein adsorption in biological media, and demonstrate the impact of these properties on the internalization mechanisms in neural cells.
Feedback mechanisms in neural systems provide pathways for reciprocal actions of pre- and post-synaptic cells.
Learning mechanisms in neural network models have two basic types [ 67].
Still, little is known about GSK3 signaling mechanisms in neural progenitor regulation in vivo.
The data from this study will contribute to further investigations of miRNA regulatory mechanisms in neural systems, as well as to functional studies.
Our work provides a global view of rat neural tissue-specific miRNA profiles and a target map of miRNAs, which is expected to contribute to future investigations of miRNA regulatory mechanisms in neural systems.
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We also examined the effects of individual medium components and combinations thereof in order to address the possible underlying molecular and biochemical mechanisms involved in neural differentiation.
By contrast, fish have the remarkable ability to repair most functional components of the CNS [ 2, 3] making them a valuable model in which to identify key molecular mechanisms involved in neural regeneration [ 4– 6].
This finding narrows the understanding of disease mechanisms in a neural context.
Based on previous studies in sensory systems, two alternative neural mechanisms, multiplicative increase in neural gain [1] [16] vs. enhanced feature selectivity of the neurons in sensory cortices [17] [21], have been suggested to underlie selective attention.
Our strategies for extracting significant tissue-specific miRNA expression profiles, approaches for public data integration and extensive curated data sources may serve as valuable tools for the further experimental investigation of regulatory mechanisms of miRNAs in neural systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com