They grow neurons on a microchip and check for substances that inhibit the formation of a network between the cells.
Scientists from the "Leibniz-Institut für Analytische Wissenschaften" (ISAS) in Dortmund have invented a rapid method for screening neurotoxins: The "Miniaturisation for the Life Sciences" group used a microchip to pattern human neurons as a hexagonal array of nodes and let the neurons grow connections to build a network. When the cells were exposed to a neurotoxin, however, the growth of this network was disturbed, and could be used to quantify neurotoxicity. Jonathan West, who led the project, has called the method the "network formation assay" (NFA).
"The formation of connections between neurons is one of the basic principles of memory and learning, and its disturbance is frequently a clinical sign of neurotoxicity", says Christoph van Thriel from the "Leibniz-Institut für Arbeitsforschung" (IfADo) in Dortmund, a collaborator on the project. "The NFA therefore represents an in vitro model that is comparable to the in vivo state." Thus, the NFA can improve the ability to predict the neurotoxic effects of a chemical and ultimately reduce animal testing.
In addition, a typical NFA screen takes only a few hours, enabling scientists to test a great number of substances in a very short time. The need for rapid screening methods has grown since the EU has implemented the REACH legislation.
Jonathan West and his colleagues have recently published their NFA method in the "Lab on a Chip" journal. This month it was highlighted in the RSC "Chemical Technology" magazine.
Tinka Wolf | idw
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The Max Planck Institute for Physics (MPP) is opening up a new research field. A workshop from November 21 - 22, 2016 will mark the start of activities for an innovative axion experiment. Axions are still only purely hypothetical particles. Their detection could solve two fundamental problems in particle physics: What dark matter consists of and why it has not yet been possible to directly observe a CP violation for the strong interaction.
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