001     1034510
005     20241218210704.0
024 7 _ |a 10.25493/XSGR-HXQ
|2 doi
037 _ _ |a FZJ-2024-07273
100 1 _ |a Kuckertz, Anika
|0 P:(DE-Juel1)178766
|b 0
|u fzj
245 _ _ |a Muscarinic acetylcholine M2 receptor densities in areas of the rat iso- and proisocortex (v1)
260 _ _ |c 2024
|b EBRAINS
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Dataset
|b dataset
|m dataset
|0 PUB:(DE-HGF)32
|s 1734524595_24846
|2 PUB:(DE-HGF)
336 7 _ |a Chart or Table
|0 26
|2 EndNote
336 7 _ |a Dataset
|2 DataCite
336 7 _ |a DATA_SET
|2 ORCID
336 7 _ |a ResearchData
|2 DINI
520 _ _ |a The present dataset provides the densities of a key neuromodulatory molecule in signal transfer, namely the muscarinic acetylcholine M 2 receptor, in all isocortical and proisocortical areas of the rat brain. The agonistic binding site of the M 2 receptors were visualized by means of quantitative *in vitro* receptor autoradiography and the selective tritiated ligand oxotremorine-M following an established experimental protocol, and neighbouring sections were processed histologically for the visualization of cell bodies. Isocortical and proisocortical areas were identified based on cytoarchitectonic criteria and differences in the regional and laminar distribution of the M 2 receptor, and receptor densities quantified by densitometric analysis. We provide here the M 2 receptor densities of 48 architectonically distinct areas belonging to the entire rat iso- and proisocortex.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
|0 G:(EU-Grant)945539
|c 945539
|f H2020-SGA-FETFLAG-HBP-2019
|x 1
536 _ _ |a HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)
|0 G:(DE-HGF)InterLabs-0015
|c InterLabs-0015
|x 2
536 _ _ |a EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)
|0 G:(EU-Grant)101147319
|c 101147319
|f HORIZON-INFRA-2022-SERV-B-01
|x 3
588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Neuroscience
|2 Other
700 1 _ |a Haghir, Hossein
|b 1
700 1 _ |a Zilles, Karl
|0 P:(DE-Juel1)131714
|b 2
700 1 _ |a Palomero-Gallagher, Nicola
|0 P:(DE-Juel1)131701
|b 3
|e Corresponding author
|u fzj
773 _ _ |a 10.25493/XSGR-HXQ
909 C O |o oai:juser.fz-juelich.de:1034510
|p openaire
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
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914 1 _ |y 2024
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
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980 _ _ |a dataset
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 _ _ |a UNRESTRICTED


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