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Plexins and semaphorins are ligand-receptor pairs that serve as guidance molecules in the nervous system and play some roles in immunity. Plexins are similar to the Toll-like receptors (TLRs) in their evolutionary conservation from flies to mammals. By studying plexin-A4-deficient (Plxna4(-/-)) innate immune cells, in this study we show a novel influence of plexin-A4 on TLR signaling. Plxna4(-/-) cells exhibit defective inflammatory cytokine production upon activation by a spectrum of TLR agonists and bacteria. Plexin-A4 is required for TLR-induced activation of the small guanosine triphosphate hydrolase (GTPase) Rac1 (ras-related C3 botulinum toxin substrate 1). Rac1 activation is accompanied by JNK (c-Jun N-terminal kinase) and NF-κB activation, culminating in TLR-induced binding of NF-κB and AP-1 to the promoters of inflammatory cytokines. Plxna4(-/-) mice are remarkably resistant to TLR agonist-induced inflammation and polymicrobial peritonitis caused by cecal ligation and puncture. Administration of a ligand of plexin-A4, Sema3A (semaphorin 3A), exacerbates the cytokine storm caused by TLR agonists and bacterial sepsis. TLR engagement can induce Sema3A expression, thus completing an autocrine loop. These findings expand the role of plexins to TLR signaling and suggest plexin-A4 and Sema3A as new intervention points for treating sepsis.
Pubmed ID: 21098092
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NEURON is a simulation environment for modeling individual neurons and networks of neurons. It provides tools for conveniently building, managing, and using models in a way that is numerically sound and computationally efficient. It is particularly well-suited to problems that are closely linked to experimental data, especially those that involve cells with complex anatomical and biophysical properties. NEURON has benefited from judicious revision and selective enhancement, guided by feedback from the growing number of neuroscientists who have used it to incorporate empirically-based modeling into their research strategies. NEURON's computational engine employs special algorithms that achieve high efficiency by exploiting the structure of the equations that describe neuronal properties. It has functions that are tailored for conveniently controlling simulations, and presenting the results of real neurophysiological problems graphically in ways that are quickly and intuitively grasped. Instead of forcing users to reformulate their conceptual models to fit the requirements of a general purpose simulator, NEURON is designed to let them deal directly with familiar neuroscience concepts. Consequently, users can think in terms of the biophysical properties of membrane and cytoplasm, the branched architecture of neurons, and the effects of synaptic communication between cells. * helps users focus on important biological issues rather than purely computational concerns * has a convenient user interface * has a user-extendable library of biophysical mechanisms * has many enhancements for efficient network modeling * offers customizable initialization and simulation flow control * is widely used in neuroscience research by experimentalists and theoreticians * is well-documented and actively supported * is free, open source, and runs on (almost) everything
View all literature mentionsMus musculus with name C57BL/6J from IMSR.
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