Neuronal Phenotype Expression
Neuronal Phenotype Expression - Related Videos
09:34
Identification of Growth Inhibition Phenotypes Induced by Expression of Bacterial Type III Effectors in Yeast
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Cited by 34 •
2010
In this video, we describe a procedure for the expression of bacterial type III effectors in yeast and the identification of effector-induced growth inhibition phenotypes. Such phenotypes can be subsequently exploited to elucidate effector functions and targets.
09:17
Assessing Neurodegenerative Phenotypes in Drosophila Dopaminergic Neurons by Climbing Assays and Whole Brain Immunostaining
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Cited by 57 •
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Here we describe two assays that have been established to study age-dependent neurodegeneration of dopaminergic (DA) neurons in Drosophila: the climbing/startle-induced negative geotaxis assay which allows to study the functional effects of DA neurons degeneration and the tyrosine hydroxylase immunostaining which is used to identify and count DA neurons in whole brain mounts.
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.
10:41
Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction
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Cited by 4 •
2016
Morphology, size and location of intracellular organelles are evolutionarily conserved and appear to directly affect their function. Understanding the molecular mechanisms underlying these processes has become an important goal of modern biology. Here we show how these studies can be facilitated by the application of quantitative techniques.
11:34
Identification of Specific Sensory Neuron Populations for Study of Expressed Ion Channels
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Cited by 5 •
2013
Afferent sensory neurons signal sensory information from the periphery to the central nervous system. Identifying specific afferent neurons will help in understanding their physiology. We describe a method of retrograde labeling to identify afferent neurons, and study the voltage-gated ion channels in these neurons using patch clamp electrophysiology and immunocytochemistry.
FAQs
Developmental signals provide context for activating neuronal gene programs, while transcription factors regulate which genes are expressed within a cell. This coordinated control can establish traits such as neuron-specific molecular markers, characteristic morphology, neurotransmitter identity, electrical excitability, and synaptic function. Its importance is that phenotype expression reflects an integrated regulatory program rather than a single isolated cellular feature.
A single molecular marker can indicate that a neuronal program is present, but it does not by itself establish the associated structural or functional state. Researchers therefore combine neuron-specific proteins with cell shape, electrophysiological activity, and connectivity. This multimodal assessment helps determine whether cells show a more complete neuronal phenotype rather than only one molecular characteristic.
Differentiated neurons are expected to display neuronal characteristics across molecular, structural, and functional measurements, whereas progenitors have not acquired the full set of these traits. Comparing neuron-specific proteins, morphology, electrical activity, and connectivity can therefore help separate differentiated cells from precursor populations. This distinction is especially relevant when interpreting developmental samples or evaluating cells produced from stem cells.
Assessment usually combines several readouts rather than relying on one test. Researchers examine neuron-specific proteins for molecular evidence, inspect cell shape for structural evidence, measure electrophysiological activity for functional evidence, and evaluate connectivity for evidence of neuronal interactions. Considering these readouts together provides a broader basis for judging whether experimental cells express neuronal traits consistently.
It provides criteria for determining whether stem cell-derived cells have acquired neuronal characteristics rather than remaining in an earlier cellular state. Researchers can compare neuron-specific proteins, morphology, electrophysiological activity, and connectivity in these cells. The resulting profile helps evaluate how convincingly the derived cells reproduce neuronal properties and supports interpretation of differentiation experiments.
Neuronal phenotype expression offers a framework for examining how genetic or environmental changes alter neuronal traits. Investigators can look for corresponding differences in neuron-specific proteins, cell shape, electrical excitability, synaptic function, or connectivity. Linking such changes to phenotype provides a way to study how disruptions in regulation may contribute to neurological disorders while keeping molecular and functional observations connected.