Gene Detection Per Cell
Gene Detection Per Cell - Related Videos
08:14
Detection of Intracellular Gene Expression in Live Cells of Murine, Human and Porcine Origin Using Fluorescence-labeled Nanoparticles
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Cited by 1 •
2015
This manuscript describes a novel technique which allows the detection of intracellular gene expression after endocytosis of fluorescence-labeled nanoparticles directly in live cells. The method does not require manipulation of the cells and is not restricted with respect to the target gene or species.
02:48
Loop-Mediated Isothermal Amplification for Bacterial Gene Detection
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2025
Source: Domesle, K. J., et al. Loop-Mediated Isothermal Amplification for Screening Salmonella in Animal Food and Confirming Salmonella from Culture Isolation. J. Vis. Exp. (2020).This video demonstrates the loop-mediated isothermal amplification (LAMP) technique for detecting a target bacterial gene by amplifying DNA at a constant temperature. The reaction mixture is prepared by adding an isothermal master mix, specific primers for the target gene, and samples containing DNA templates. The...
12:55
Using the Gene Pulser MXcell Electroporation System to Transfect Primary Cells with High Efficiency
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Cited by 11 •
2010
This procedure shows how to use the Gene Pulser MXcell electroporation system to rapidly and easily identify the best electroporation conditions for mouse embryonic fibroblasts (MEFs) or other primary cells. Considerations for troubleshooting are also discussed in the associated video.
01:58
Cell Specific Gene Expression
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2020
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
10:34
Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
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Cited by 2 •
2010
This procedure describes a quick and easy workflow to introduce siRNA into difficult to transfect cell lines and follow gene expression by real-time PCR. Use of an automated cell counter, multi-well electroporation plate, and automated electrophoresis station provide quick and reliable results without the need for expensive robotic handling.
FAQs
Complementary probes recognize matching RNA sequences, allowing selected transcripts to produce detectable signals in individual cells. This target-specific recognition helps distinguish whether a particular gene is present rather than measuring all tissue-derived RNA together. In neuroscience, probe-based detection can therefore support comparisons among neuronal and glial cells that occupy the same sample or brain region.
Bulk tissue measurements combine RNA from many cells, which can obscure differences between cell populations. Separating or spatially resolving individual cells preserves those distinctions and exposes cell-to-cell variation in detected genes. This added resolution is especially important when neighboring neuronal and glial populations contribute different expression patterns to the same brain region.
These methods provide different routes for converting cellular RNA into measurable information. Reverse transcription converts RNA into a detectable complementary form, amplification increases the measurable signal, and sequencing identifies transcript information through sequence-based analysis. The overview presents these processes as alternative or combined components for determining gene presence and relative abundance in individual cells.
A typical workflow first isolates individual cells or preserves their positions through spatial resolution. Researchers then target cellular RNA and convert it into detectable signals using complementary probes, reverse transcription, amplification, sequencing, or combinations of these approaches. The resulting measurements indicate which selected genes are present and support comparisons of their relative abundance among cells.
In neuroscience, these measurements help distinguish neuronal and glial cell types and identify variation among cells that might be hidden in a combined tissue measurement. Researchers can also compare expression patterns across brain regions or across developmental and disease states. These comparisons provide a cellular basis for studying how brain organization and condition-associated changes differ among populations.
Cell-resolved gene measurements can contribute to circuit characterization by linking expression patterns with cellular populations and brain regions. They also support biomarker discovery and investigations of cellular responses to injury or treatment. Because the approach preserves differences among individual cells, it can help identify which populations show particular molecular patterns during development, disease, or experimental intervention.