Cell Autonomous Effects
Cell Autonomous Effects - Related Videos
08:48
Stable and Efficient Genetic Modification of Cells in the Adult Mouse V-SVZ for the Analysis of Neural Stem Cell Autonomous and Non-autonomous Effects
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Cited by 2 •
2016
Here we describe a procedure based on the use of lentiviral particles for the long-term genetic modification of neural stem cells and/or their adjacent ependymal cells in the adult ventricular-subventricular neurogenic niche which allows the separate analysis of cell autonomous and non-autonomous, niche-dependent effects on neural stem cells.
11:40
Quantitative Autonomic Testing
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Cited by 179 •
2011
Standardized, comprehensive and fully quantitative testing of autonomic functions is described. The autonomic tests consist of evaluation of all three major autonomic domains including cardiovagal, adrenergic and sudomotor. The severity and distribution of dysautonomia is quantitated using Composite Autonomic Severity Scores.
04:47
Autonomously Bioluminescent Mammalian Cells for Continuous and Real-time Monitoring of Cytotoxicity
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Cited by 7 •
2013
Mammalian cells expressing the bacterial bioluminescence gene cassette (lux) produce light autonomously. The resulting bioluminescent dynamics upon chemical exposure have been demonstrated to reflect the treatment effects on cellular growth and metabolism, making these cells an inexpensive, continuous, real-time toxicity screening tool that can easily be adapted for high-throughput automation.
10:38
Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
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Cited by 78 •
2012
Circadian clocks function within individual cells, i.e., they are cell-autonomous. Here, we describe methods for generating cell-autonomous clock models using non-invasive, luciferase-based real-time bioluminescence technology. Reporter cells provide tractable, functional model systems for studying circadian biology.
03:18
Developing a Translaminar Pressure Model Using a Translaminar Autonomous System
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2025
Source: Sharma, T. P., et al., Translaminar Autonomous System Model for the Modulation of Intraocular and Intracranial Pressure in Human Donor Posterior Segments. J. Vis. Exp. (2020).This video demonstrates the procedure of preparing a human eye to study the effects of translaminar pressure on retinal ganglion cell signaling by simulating intraocular and intracranial pressures in a translaminar autonomous system.
FAQs
The interpretation depends on where the phenotype appears. If only genetically altered cells change their behavior, fate, or function while nearby unaltered cells do not, the evidence supports an internal cellular cause. If neighboring cells also change, the result points toward non-autonomous signaling or another effect that extends beyond the altered population.
A phenotype confined to altered cells strengthens the link between the genetic alteration and the affected cellular outcome. It suggests that the relevant change can be expressed through the altered cell’s own genes, molecular machinery, or internal state, rather than requiring a response initiated in surrounding cells. This helps assign gene function more precisely.
Changes in proliferation, differentiation, survival, or specialized cellular activity can all be examined as candidate outcomes. The important question is not merely whether a mutation produces a phenotype, but whether that phenotype stays with the altered cells. Its localization helps distinguish an intrinsic effect on cell behavior or fate from a broader tissue response.
Researchers compare genetically altered cells with nearby unaltered cells in the same tissue, then assess the relevant behavior, fate, or function in both populations. The comparison should also record whether neighboring unaltered cells change. Confined effects support cell autonomy, whereas effects in neighbors provide evidence for non-autonomous signaling.
During development, comparing altered and nearby unaltered cells can show whether a gene affects a cell’s own fate or behavior, or instead influences tissue organization through neighboring cells. Examining proliferation and differentiation is especially informative because these outcomes reveal whether the alteration changes developmental progression locally or more broadly.
Mutations may alter proliferation, differentiation, survival, or specialized cellular activities. Determining whether each change remains in genetically altered cells or appears in neighboring cells helps characterize the scope of the disease-related mechanism. This distinction can separate a defect originating within affected cells from consequences mediated through signaling or other effects in surrounding tissue.