Publications by authors named "R S Pinals"

Single-walled carbon nanotubes (SWCNTs) with adsorbed single-stranded DNA (ssDNA) are applied as sensors to investigate biological systems, with potential applications ranging from clinical diagnostics to agricultural biotechnology. Unique ssDNA sequences render SWCNTs selectively responsive to target analytes such as (GT)-SWCNTs recognizing the neuromodulator, dopamine. It remains unclear how the ssDNA conformation on the SWCNT surface contributes to functionality, as observations have been limited to computational models or experiments under dehydrated conditions that differ substantially from the aqueous biological environments in which the nanosensors are applied.

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Cells rely on their cytoskeleton for key processes including division and directed motility. Actin filaments are a primary constituent of the cytoskeleton. Although actin filaments can create a variety of network architectures linked to distinct cell functions, the microscale molecular interactions that give rise to these macroscale structures are not well understood.

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Article Synopsis
  • Researchers have developed a cutting-edge brain-like 3D hydrogel model that mimics important aspects of human brain function, including neuron and immune cell interactions, to better study neurological diseases.
  • This integrated model, called miBrain, includes all six major types of brain cells and demonstrates key features like neuronal activity, functional connectivity, and myelin production.
  • The model is being used to investigate Alzheimer's disease, revealing how astrocytes might influence neuronal tau pathology and dysfunction through communication with microglia.
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Human induced pluripotent stem cell (hiPSC)–based models of the brain will be key to unraveling the role of APOE ɛ4 in the interconnected cellular changes underlying Alzheimer’s disease.

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Alzheimer's disease (AD) is a devastating, complex, and incurable disease that represents an increasingly problematic global health issue. The etiology of sporadic AD that accounts for a vast majority of cases remains poorly understood, with no effective therapeutic interventions. Genetic studies have identified AD risk genes including the most prominent, , of which the ɛ4 allele increases risk in a dose-dependent manner.

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