C-fos Notch1 Analysis
C-fos Notch1 Analysis - Related Videos
08:37
Fluorescence Activated Cell Sorting (FACS) and Gene Expression Analysis of Fos-expressing Neurons from Fresh and Frozen Rat Brain Tissue
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Cited by 34 •
2016
Here we present a Fluorescence Activated Cell Sorting (FACS) protocol to study molecular alterations in Fos-expressing neuronal ensembles from both fresh and frozen brain tissue. The use of frozen tissue allows FACS isolation of many brain areas over multiple sessions to maximize the use of valuable animal subjects.
08:07
Simultaneous Detection of c-Fos Activation from Mesolimbic and Mesocortical Dopamine Reward Sites Following Naive Sugar and Fat Ingestion in Rats
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Cited by 24 •
2016
The goal of this study is to identify reward-related distributed brain networks by delineating a reliable immunohistological technique using cellular c-fos activation to measure simultaneous changes in dopamine pathways and terminal sites after novel ingestion of fat and sugar in rats.
05:44
The c-FOS Protein Immunohistological Detection: A Useful Tool As a Marker of Central Pathways Involved in Specific Physiological Responses In Vivo and Ex Vivo
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Cited by 44 •
2016
Here, we present a protocol based on c-FOS protein immunohistological detection, a classical technique used for the identification of neuronal populations involved in specific physiological responses in vivo and ex vivo.
10:09
Methods for Evaluating the Role of c-Fos and Dusp1 in Oncogene Dependence
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2019
Here, we describe protocols for the genetic and chemical validation of c-Fos and Dusp1 as a drug target in leukemia using in vitro and in vivo genetic and humanized mouse models. This method can be applied to any target for genetic validation and therapeutic development.
11:52
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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2017
The segmentation clock drives oscillatory gene expression across the pre-somitic mesoderm (PSM). Dynamic Notch activity is key to this process. We use imaging and computational analyses to extract temporal dynamics from spatial expression data to demonstrate that Delta ligand and Notch receptor expression oscillate in the vertebrate PSM.
FAQs
c-Fos reports a transcriptional response associated with neuronal stimulation, while Notch1 signaling reflects receptor activation followed by release and nuclear entry of the Notch1 intracellular domain. Their signals therefore describe different aspects of neural state: one emphasizes activity responsiveness, and the other connects signaling to transcriptional regulation, cell-fate decisions, and plasticity.
Notch1 signaling becomes transcriptionally relevant when its intracellular domain enters the nucleus and influences Notch-responsive genes. Measuring or interpreting Notch1 without considering this signaling step may not distinguish receptor presence from pathway activity. This distinction helps relate observed Notch1 patterns to changes in gene regulation and possible effects on neural cell behavior.
A comparison can show whether neuronal activation occurs alongside changes in Notch1-related signaling. Such relationships help investigators examine how activity-dependent responses intersect with cell-fate regulation and plasticity. The analysis is most informative when expression patterns are considered together rather than treating either marker as a complete explanation of the neural response.
In neural cells or tissue, combined c-Fos and Notch1 measurements can connect activity-associated transcription with signaling pathways that influence cell fate. This makes the approach useful for examining progenitor behavior, particularly when researchers want to relate neural stimulation or tissue state to transcriptional regulation during development or after injury.
The core workflow is to examine c-Fos and Notch1 expression in neural cells or tissue, then compare the resulting patterns in relation to neuronal activity and signaling. Interpretation should distinguish activity-associated c-Fos changes from Notch1 pathway effects, including nuclear action of the Notch1 intracellular domain, rather than combining both signals into one measure.
The approach is relevant when investigators study activity-dependent signaling, neural development, tissue injury, or mechanisms underlying neurological disease. It can help connect neuronal responses with progenitor behavior and cell-fate regulation. These applications make the paired analysis valuable for asking how neural activity and Notch1 signaling interact across changing physiological or pathological contexts.
Comparing the markers can characterize relationships among neural activity, Notch1 signaling, transcriptional regulation, and plasticity. In developmental or injury-related studies, the patterns may also provide context for progenitor behavior and cell-fate changes. The result is a molecular profile that supports interpretation of circuit-related responses and disease mechanisms without relying on either indicator alone.