Mouse anti neun antibody
The Mouse anti-NeuN antibody is a laboratory reagent used for the detection and identification of neuronal nuclei in various cell and tissue samples. It binds specifically to the NeuN (Neuronal Nuclei) antigen, which is a DNA-binding, neuron-specific protein that is expressed in the nuclei of most neuronal cell types. This antibody can be used in techniques such as immunohistochemistry and immunocytochemistry to visualize and analyze neuronal populations.
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61 protocols using mouse anti neun antibody
Immunohistochemical Analysis of Brain Sections
Immunohistochemical and Western Blot Analysis of Neural Markers
Hippocampal Cellular Changes Characterization
Immunohistochemical Analysis of Neuronal Autophagy
Visualizing Neuronal Expression of Optogenetic Markers
Immunofluorescent Detection of Amyloid-β and Nurr1 in Mouse Brain
Immunohistochemical Analysis of Ischemic Brain
Perfusion, Fixation, and Immunostaining of Brain Tissue
For immunostaining, brain sections were blocked with 5% normal donkey serum for 1 h at room temperature and incubated with primary antibodies (rabbit anti-GFAP 1:200, Dako, #GA524; goat anti-Iba1, 1:500 Wako, #011-27991; NeuroTrace™ 1:200, Thermo Fischer; mouse anti-NeuN Antibody 1:500, Merck, #MAB377; rabbit anti-Neurofilament 200 antibody 1:200, Merck, #N4142; guinea pig anti-Neurofilament L, 1:200, Synaptic Systems, rat anti-CD31 antibody 1:50, BD Biosciences, #MEC13.3; goat anti-CD13, 1:200; R&D Systems, #AF2335) overnight at 4°C. The next day, sections were incubated with corresponding secondary antibodies (1:500, Thermo Fischer Scientific). Nuclei were counterstained with DAPI (1:2,000 in 0.1 M PB, Sigma). Mounting was performed using Mowiol.
Quantifying Neuronal and Microglia Responses
NeuN-immunoreactive nuclei were counted in the hippocampal CA1 region using OPTIMAS software (version 6.5; CyberMetrics® Corporation, Phoenix, AZ, USA). Iba-1 immunoreactivity was assessed based on the intensity and pixel number of immunoreactive signals using ImageJ software (version 1.80; National Institutes of Health, Bethesda, MD, USA) as described previously [61 (link)].
Quantitative Analysis of NeuN-Positive Neurons
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