Published on 08 August 2019

Density measurements of different receptors for Area PGp (IPL) [human, v1.0]

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Zilles, K.;Palomero-Gallagher, N.;Amunts, K.;Caspers, S.

Description

This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in Area PGp (IPL) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Overview of available measurements [ receptor | neurotransmitter | labeling agent ]: AMPA | glutamate | [3H]AMPA kainate | glutamate | [3H]kainate NMDA | glutamate | [3H]MK-801 mGluR2/3 | glutamate | [3H]LY341495 GABAA | GABA | [3H]muscimol GABAB | GABA | [3H]CGP54626 GABAA/BZ | GABA | [3H]flumazenil muscarinic M1 | acetylcholine | [3H]pirenzepine muscarinic M2 | acetylcholine | [3H]oxotremorine-M muscarinic M3 | acetylcholine | [3H]4-DAMP nicotinic α4β2 | acetylcholine | [3H]epibatidine α1 | noradrenalin/norepinephrine | [3H]prazosin α2 | noradrenalin/norepinephrine | [3H]UK-14,304 5-HT1A | serotonin | [3H]8-OH-DPAT 5-HT2 | serotonin | [3H]ketanserin D1 | dopamine | [3H]SCH23390 Information on the used tissue samples and corresponding subjects for the receptor fingerprints, profiles and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset. For methodological details, see: Zilles, K. et al. (2002). Quantitative analysis of cyto- and receptorarchitecture of the human brain, pp. 573-602. In: Brain Mapping: The Methods, 2nd edition (A.W. Toga and J.C. Mazziotta, eds.). San Diego, Academic Press. Palomero-Gallagher N, Zilles K. (2018) Cyto- and receptorarchitectonic mapping of the human brain. In: Handbook of Clinical Neurology 150: 355-387

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Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

31%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Human Brain Project Neuroinformatics Platform

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

28%

Source

Scholar Data Model

Keywords

Neuroscience

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00