Reconsidering Cancer's Bad Guy
News Nov 20, 2012
These findings are the subject of a paper, published this week in Nature Communications. They point the way to new avenues of research into degenerative brain diseases like Alzheimer’s.
How to repair brain injuries is a fundamental question facing brain researchers. Scientists have been familiar with the protein S100A4 for some time as a factor in metastasis, or how cancer spreads. However it’s the first time the protein has been shown to play a role in brain protection and repair.
“This protein is not normally in the brain, only when there’s trauma or degeneration. When we deleted the protein in mice we discovered that their brains were less protected and able to resist injury. We also discovered that S100A4 works by activating signalling pathways inside neurons,” says Postdoc Oksana Dmytriyeva, who worked on the research in a team at the Protein Laboratory in the Department of Neuroscience and Pharmacology at the University of Copenhagen.
The villain turns out to be the hero
This research stands on the shoulders of many years of work on S100A4 in its deadlier role in cancer progression. The discovery represents a significant development for the new Neuro-Oncology Group that moved to the University of Copenhagen’s Protein Laboratory Group from the Danish Cancer Society in October.
“We were surprised to find this protein in this role, as we thought it was purely a cancer protein. We are very excited about it and we’re looking forward to continuing our research in a practical direction. We hope that the findings will eventually benefit people who need treatment for neurodegenerative disorders like Alzheimer’s disease, although obviously we have a long way to go before we get to that point,” says Oksana Dmytriyeva.
For scientists wrestling with problems as diverse as containing superhot plasma in a fusion reactor, improving the accuracy of weather forecasts, or probing the unexplained dynamics of a distant galaxy, turbulence-spawning shear flow is a serious complicating factor. A new supercomputer-powered effort aims to make modelling shear far easier.
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