Introduction and validation of a new semi-automated method to determine sympathetic fiber density in target tissues

Show simple item record Bleck, Dennis Ma, Li Erdene-Bymbadoo, Lkham Brinks, Ralph Schneider, Matthias Tian, Li Pongratz, Georg 2019-12-17T07:49:01Z 2019-12-17T07:49:01Z 2019-05-29
dc.identifier.citation Bleck , D , Ma , L , Erdene-Bymbadoo , L , Brinks , R , Schneider , M , Tian , L & Pongratz , G 2019 , ' Introduction and validation of a new semi-automated method to determine sympathetic fiber density in target tissues ' , PLoS One , vol. 14 , no. 5 , 0217475 .
dc.identifier.other PURE: 126416568
dc.identifier.other PURE UUID: d887a939-92b1-4480-af74-f773c660d22a
dc.identifier.other RIS: urn:966204F7328B5B3C416EE63484F21C58
dc.identifier.other WOS: 000469323000056
dc.identifier.other ORCID: /0000-0003-0222-7076/work/66365361
dc.description.abstract In recent years, the role of sympathetic nervous fibers in chronic inflammation has become increasingly evident. At the onset of inflammation, sympathetic activity is increased in the affected tissue. However, sympathetic fibers are largely absent from chronically inflamed tissue. Apparently, there is a very dynamic relationship between sympathetic innervation and the immune system in areas of inflammation, and hence a rapid and easy method for quantification of nerve fiber density of target organs is of great value to answer potential research questions. Currently, nervous fiber densities are either determined by tedious manual counting, which is not suitable for high throughput approaches, or by expensive automated processes relying on specialized software and high-end microscopy equipment. Usually, tyrosine hydroxylase (TH) is used as the marker for sympathetic fibers. In order to overcome the current quantification bottleneck with a cost-efficient alternative, an automated process was established and compared to the classic manual approach of counting TH-positive sympathetic fibers. Since TH is not exclusively expressed on sympathetic fibers, but also in a number of catecholamine-producing cells, a prerequisite for automated determination of fiber densities is to reliably distinct between cells and fibers. Therefore, an additional staining using peripherin exclusively expressed in nervous fibers as a secondary marker was established. Using this novel approach, we studied the spleens from a syndecan-3 knockout (SDC3KO) mouse line, and demonstrated equal results on SNS fiber density for both manual and automated counts (Manual counts: wildtype: 22.57 +/- 11.72 fibers per mm2; ko: 31.95 +/- 18.85 fibers per mm2; p = 0.05; Automated counts: wildtype: 31.6 +/- 18.98 fibers per mm2; ko: 45.49 +/- 19.65 fibers per mm2; p = 0.02). In conclusion, this new and simple method can be used as a high-throughput approach to reliably and quickly estimate SNS nerve fiber density in target tissues. en
dc.format.extent 14
dc.language.iso eng
dc.relation.ispartof PLoS One
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 1182 Biochemistry, cell and molecular biology
dc.subject MOLECULE HB-GAM
dc.subject INNERVATION
dc.subject EXPRESSION
dc.subject MORPHOLOGY
dc.subject RESISTANT
dc.subject NEURONS
dc.subject GLANDS
dc.title Introduction and validation of a new semi-automated method to determine sympathetic fiber density in target tissues en
dc.type Article
dc.contributor.organization Neuroscience Center
dc.contributor.organization Helsinki Institute of Life Science HiLIFE
dc.contributor.organization University of Helsinki
dc.description.reviewstatus Peer reviewed
dc.relation.issn 1932-6203
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

Files in this item

Total number of downloads: Loading...

Files Size Format View
journal.pone.0217475.pdf 1.241Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record