Neuronal Analysis
Neuronal Analysis - Related Videos
09:27
Cell Subtype-specific Analysis of Neuronal Membrane Proteasome in Somatosensory Neurons
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2025
The neuronal membrane proteasome (NMP) was recently identified in a subset of somatosensory neurons as a key regulator of touch, pain, and itch perception. This article presents a robust workflow for analyzing cell-type-specific NMP expression and function using cell sorting, transcriptome profiling, and culture-based immunofluorescent analyses.
15:04
A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
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Cited by 46 •
2009
This article describes a novel protocol and reagent set designed for sensitive measurement of neurotoxic effects of compounds and treatments on co-cultures of neurons and astrocytes using high content analysis. Results demonstrate that high content analysis represents an exciting novel technology for neurotoxicity assessment.
11:48
Analysis of Dendritic Spine Morphology in Cultured CNS Neurons
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Cited by 69 •
2011
Numerous recent studies have identified mutations in synaptic proteins associated with brain pathologies. Primary cultured cortical neurons offer great flexibility in examining the effects of these disease-associated proteins on dendritic spine morphology and motility.
11:41
Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales
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Cited by 61 •
2010
We have developed a computer program to analyze neuronal morphology. In combination with two existing open source analysis tools, our program performs Sholl analysis and determines the number of neurites, branch points, and neurite tips. The analyses are performed so that local changes in neurite morphology can be observed.
13:32
Laser Capture Microdissection of Enriched Populations of Neurons or Single Neurons for Gene Expression Analysis After Traumatic Brain Injury
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Cited by 22 •
2013
We describe how to use laser capture microdissection (LCM) to obtain enriched populations of hippocampal neurons or single neurons from frozen sections of the injured rat brain for subsequent gene expression analysis using quantitative real time PCR and/or whole-genome microarrays.
FAQs
Each method captures a different level of neuronal organization. Microscopy reveals cellular structure, electrophysiology measures membrane potential and action potentials, calcium imaging tracks activity through calcium-related signals, and molecular labeling identifies selected cellular features. Combining these approaches allows researchers to relate a neuron’s morphology and molecular identity to its electrical behavior and participation in neural circuits.
These measurements distinguish several stages of neuronal communication. Membrane-potential recordings show changes in electrical state, action-potential measurements identify rapid signaling events, and synaptic analysis examines communication between neurons. Considering these signals together helps connect cellular electrical activity with circuit-level behavior rather than treating isolated voltage changes as independent observations.
Connectivity provides a functional context for observations made within individual neurons. Morphology can characterize cellular form, while activity measurements show how neurons behave; connectivity helps relate those findings to interactions among cells. This combined perspective supports analysis of how local cellular properties contribute to information processing across neural circuits.
Method selection should follow the feature being investigated. Microscopy or molecular labeling is appropriate when structure or cellular identity is central, whereas electrophysiology is suited to membrane potential and action potentials. Calcium imaging can examine neuronal activity, and combining methods is useful when the study must connect morphology, signaling, and network behavior.
Researchers can compare cellular morphology, electrical activity, synaptic signaling, connectivity, and broader network activity between healthy and diseased tissue. Differences across these levels may show whether a condition primarily affects neuronal structure, signaling, or circuit function. Such comparisons provide a framework for characterizing disease-related changes and evaluating how cellular alterations relate to nervous-system performance.
The approach supports studies of neurodevelopment, neurodegeneration, brain injury, and therapeutic strategies. In each setting, measurements can connect changes in individual neurons with effects on circuits, behavior, or cognition. This multilevel information helps researchers investigate how nervous systems develop, how function is disrupted, and how potential interventions may influence neuronal and network activity.