Anti neun antibody mab377
The Anti-NeuN antibody (MAB377) is a mouse monoclonal antibody that specifically recognizes the neuron-specific nuclear protein NeuN (Neuronal Nuclei). This antibody is a widely used tool for the identification and quantification of neuronal cells in various applications, such as immunohistochemistry and immunocytochemistry.
Lab products found in correlation
7 protocols using anti neun antibody mab377
Antibody Characterization for Neurodegenerative Research
Quantifying Neuronal Apoptosis Using TUNEL
To quantify the degree of apoptotic cell death in the cortex and hippocampus, ten coronal sections from rostro-to-caudal region of the cortex and hippocampus were examined and TUNEL-positive cells were manually counted in a defined sampling region. One sampling region of interest from the hippocampal CA1 and two sampling regions in the cortex were defined. Only TUNEL-label cells colocalized with condensed nuclei staining were counted. The number of TUNEL-positive cells was the sum of apoptotic cell counts from all sample fields in the quantified sections of one embedded block. The number of TUNEL-positive cells reported was the mean of n number in each group.
Chitosan Nanoparticle Cerebral Protection
Lentiviral Transduction of Hippocampal Slices
Immuno-histochemical Analysis of Glial Markers
Antibody Panel for Neurodegeneration Analysis
Immunofluorescence Tissue Fixation and Staining
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!