Scientists from Baylor College of Medicine (Texas, USA) and the Wellcome Trust Sanger Institute (Cambridge, UK) have deciphered how neurons can synthesize a diverse range of proteins from a relatively limited number of genes – a discovery with important implications for understanding how complex neural circuitry is formed and maintained throughout our lives.
A long-standing question in neurobiology is how each of the tens of thousands of neurons that populate the mammalian brain are instructed to establish the specific connections that give rise to our complex neural networks. Researchers postulate that the expression of distinct sets of proteins in each individual neuron act as molecular cues to direct the course of each neurons fate. The protocadherin (Pcdh) family of proteins are prime candidates for this job, as each individual neuron expresses an overlapping but distinct combination of Pcdh proteins.
In the August 1 issue of Genes & Development, Dr. Allan Bradley and colleagues report on their identification of the mechanism of neuron-specific Pcdh expression. The Pcdh family of proteins is encoded by three gene clusters (Pcdh-a, Pcdh-ß, and Pcdh-g) on human chromosome #5, and mouse chromosome #18. The a and g clusters each contain genes with several variable exons (coding regions of DNA). Each variable exon can be separately joined to a constant region of the gene, thereby creating the genetic blueprint for a Pcdh protein that will have a unique variable region and a common constant region.
Heather Cosel | EurekAlert!
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The operational speed of semiconductors in various electronic and optoelectronic devices is limited to several gigahertz (a billion oscillations per second). This constrains the upper limit of the operational speed of computing. Now researchers from the Max Planck Institute for the Structure and Dynamics of Matter in Hamburg, Germany, and the Indian Institute of Technology in Bombay have explained how these processes can be sped up through the use of light waves and defected solid materials.
Light waves perform several hundred trillion oscillations per second. Hence, it is natural to envision employing light oscillations to drive the electronic...
Most natural and artificial surfaces are rough: metals and even glasses that appear smooth to the naked eye can look like jagged mountain ranges under the microscope. There is currently no uniform theory about the origin of this roughness despite it being observed on all scales, from the atomic to the tectonic. Scientists suspect that the rough surface is formed by irreversible plastic deformation that occurs in many processes of mechanical machining of components such as milling.
Prof. Dr. Lars Pastewka from the Simulation group at the Department of Microsystems Engineering at the University of Freiburg and his team have simulated such...
Investigation of the temperature dependence of the skyrmion Hall effect reveals further insights into possible new data storage devices
The joint research project of Johannes Gutenberg University Mainz (JGU) and the Massachusetts Institute of Technology (MIT) that had previously demonstrated...
Researchers at Chalmers University of Technology, Sweden, recently completed a 5-year research project looking at how to make fibre optic communications systems more energy efficient. Among their proposals are smart, error-correcting data chip circuits, which they refined to be 10 times less energy consumptive. The project has yielded several scientific articles, in publications including Nature Communications.
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After helping develop a new approach for organic synthesis -- carbon-hydrogen functionalization -- scientists at Emory University are now showing how this approach may apply to drug discovery. Nature Catalysis published their most recent work -- a streamlined process for making a three-dimensional scaffold of keen interest to the pharmaceutical industry.
"Our tools open up whole new chemical space for potential drug targets," says Huw Davies, Emory professor of organic chemistry and senior author of the paper.
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