Biomedical subjects

Susana R Neves

Publications and source records attributed to Susana R Neves.

3 recordsLinked to original sources

PubMed2006

Role of the Go/i signaling network in the regulation of neurite outgrowth.

Neurite outgrowth is a complex differentiation process stimulated by many neuronal growth factors and transmitters and by electrical activity. Among these stimuli are ligands for G-protein-coupled receptors (GPCR) that function as neurotransmitters. The pathways involved in GPCR-triggered neurite outgrowth are not fully understood. Many of these receptors couple to Galphao, one of the most abundant proteins in the neuronal growth cones. We have studied the Go signaling network involved in neurite outgrowth in Neuro2A cells. Galphao can induce neurite outgrowth. The CB1 cannabinoid receptor, a Go/i-coupled receptor expressed endogenously in Neuro2A cells, triggers neurite outgrowth by activating Rap1, which promotes the Galphao-stimulated proteasomal degradation of Rap1GAPII. CB1-receptor-mediated Rap1 activation leads to the activation of a signaling network that includes the small guanosine triphosphate (GTP)ases Ral and Rac, the protein kinases Src, and c-Jun N-terminal kinase (JNK), which converge onto the activation of signal transducer and activator of transcription 3 (Stat3), a key transcription factor that mediates the gene expression process of neurite outgrowth in Neuro2A cells. This review describes current findings from our laboratory and also discusses alternative pathways that Go/i might mediate to trigger neurite outgrowth. We also analyze the role neurotransmitters, which stimulate Go/i to activate a complex signaling network controlling neurite outgrowth, play in regeneration after neuronal injury.

Animals↗

PubMed2002

G protein pathways.

The heterotrimeric guanine nucleotide-binding proteins (G proteins) are signal transducers that communicate signals from many hormones, neurotransmitters, chemokines, and autocrine and paracrine factors. The extracellular signals are received by members of a large superfamily of receptors with seven membrane-spanning regions that activate the G proteins, which route the signals to several distinct intracellular signaling pathways. These pathways interact with one another to form a network that regulates metabolic enzymes, ion channels, transporters, and other components of the cellular machinery controlling a broad range of cellular processes, including transcription, motility, contractility, and secretion. These cellular processes in turn regulate systemic functions such as embryonic development, gonadal development, learning and memory, and organismal homeostasis.

Animals↗

PubMed2002

Modeling of signaling networks.

Biochemical networks, including those containing signaling pathways, display a wide range of regulatory properties. These include the ability to propagate information across different time scales and to function as switches and oscillators. The mechanisms underlying these complex behaviors involve many interacting components and cannot be understood by experiments alone. The development of computational models and the integration of these models with experiments provide valuable insight into these complex systems-level behaviors. Here we review current approaches to the development of computational models of biochemical networks and describe the insights gained from models that integrate experimental data, using three examples that deal with ultrasensitivity, flexible bistability and oscillatory behavior. These types of complex behavior from relatively simple networks highlight the necessity of using theoretical approaches in understanding higher order biological functions.

Animals↗