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Brain region-specific gene expression profiles in freshly isolated rat microglia

Overview of attention for article published in Frontiers in Cellular Neuroscience, March 2015
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Title
Brain region-specific gene expression profiles in freshly isolated rat microglia
Published in
Frontiers in Cellular Neuroscience, March 2015
DOI 10.3389/fncel.2015.00084
Pubmed ID
Authors

Karlijn J Doorn, John J P Brevé, Benjamin Drukarch, Hendrikus W Boddeke, Inge Huitinga, Paul J Lucassen, Anne-Marie van Dam

Abstract

Microglia are important cells in the brain that can acquire different morphological and functional phenotypes dependent on the local situation they encounter. Knowledge on the region-specific gene signature of microglia may hold valuable clues for microglial functioning in health and disease, e.g., Parkinson's disease (PD) in which microglial phenotypes differ between affected brain regions. Therefore, we here investigated whether regional differences exist in gene expression profiles of microglia that are isolated from healthy rat brain regions relevant for PD. We used an optimized isolation protocol based on a rapid isolation of microglia from discrete rat gray matter regions using density gradients and fluorescent-activated cell sorting. Application of the present protocol followed by gene expression analysis enabled us to identify subtle differences in region-specific microglial expression profiles and show that the genetic profile of microglia already differs between different brain regions when studied under control conditions. As such, these novel findings imply that brain region-specific microglial gene expression profiles exist that may contribute to the region-specific differences in microglia responsivity during disease conditions, such as seen in, e.g., PD.

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Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Canada 1 <1%
Unknown 179 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 27%
Researcher 30 16%
Student > Master 26 14%
Student > Bachelor 21 11%
Student > Doctoral Student 12 7%
Other 18 10%
Unknown 27 15%
Readers by discipline Count As %
Neuroscience 48 26%
Agricultural and Biological Sciences 43 23%
Medicine and Dentistry 22 12%
Biochemistry, Genetics and Molecular Biology 16 9%
Immunology and Microbiology 8 4%
Other 11 6%
Unknown 35 19%