Host Cell Rna
Host Cell Rna - Related Videos
09:35
Using Click Chemistry to Measure the Effect of Viral Infection on Host-Cell RNA Synthesis
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Cited by 15 •
2013
This method describes the use of click chemistry to measure changes in host cell transcription after infection with the Rift Valley fever virus (RVFV) strain MP-12. Results can be visualized qualitatively via fluorescence microscopy or obtained quantitatively through flow cytometry. This method is adaptable for use with other viruses.
04:23
Determining Viral RNA Distribution in Host Cells by Fluorescence In Situ Hybridization
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2026
Source: Vallery, T. K. & Steitz, J. A. Quantitative Fluorescence In Situ Hybridization (FISH) and Immunofluorescence (IF) of Specific Gene Products in KSHV-Infected Cells. J. Vis. Exp. (2019)This video demonstrates fluorescence in situ hybridization to visualize viral RNA in virus-infected cells. It outlines the steps involved in probe hybridization, signal amplification, and confocal imaging.
04:42
Visualization of Viral Double-Stranded RNA and Host Pattern Recognition Receptors in Infected Epithelial Cells
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2026
Source: Mateer, E., et al., Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection. J. Vis. Exp. (2019)This video demonstrates the confocal imaging of viral double-stranded RNA (dsRNA) and cytoplasmic pattern recognition receptors (PRRs) in virus-infected epithelial cells. It highlights how antibody-based fluorescent labeling reveals the interaction between viral replication intermediates and host immune sensors.
04:15
Extracting Host Cell Lysate from Infected Host Cells Cultured in a Permeable Membrane System
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2025
This video demonstrates a permeable membrane insert system to investigate the impact of bacterial toxins on host cells in a controlled and isolated manner. This approach allows for the selective exposure of the cells to the toxins while maintaining a physical separation that mimics the natural host-pathogen interaction.
17:25
RNA Extraction from Neuroprecursor Cells Using the Bio-Rad Total RNA Kit
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Cited by 1 •
2007
FAQs
RNA molecules do not all follow the same path after transcription. Depending on their type and cellular context, they may be processed, transported to particular cellular locations, translated into protein, or regulated without serving as a protein-coding template. These steps determine whether an RNA contributes directly to protein production, supports the translation machinery, transfers coding information, or modulates cellular activity.
RNA polymerase generates RNA from DNA, so the resulting RNA population reflects which genetic information is being transcribed. Comparing these populations across development, stress, disease, or infection can reveal shifts in gene expression. Those shifts provide molecular evidence of altered cellular activity and help connect a changing cell state with affected pathways.
Messenger RNA patterns indicate changes in transcripts that can direct protein production, whereas ribosomal and transfer RNAs relate to the machinery and information-transfer steps needed for translation. Regulatory noncoding RNAs add another layer by influencing cellular activity without fitting the same coding role. Examining these classes together gives a broader view than measuring one RNA category alone.
When a cell encounters an invading pathogen, changes in its RNA patterns can indicate that cellular programs have shifted in response. Analysis can therefore distinguish infection-associated changes in cell activity from baseline expression patterns, depending on the cellular context examined. This makes host RNA informative for studying how infection affects cells, even when the immediate research focus is the host response.
Researchers examine RNA patterns using RNA sequencing or related methods, then use the resulting expression information to characterize cell states and identify molecular pathways. The central analytical step is comparison and interpretation of RNA profiles in their biological context, such as development, stress, disease, or infection. The outcome is a molecular description of how cellular activity differs between conditions.
It is useful when researchers need a broad view of gene-expression changes rather than evidence about a single transcript. Host cell RNA profiles can be compared across developmental stages or conditions involving stress, disease, or infection. These comparisons support cell-state characterization and pathway discovery, making the approach valuable when the biological response is complex or involves many coordinated changes.
Distinct RNA-expression patterns can point to molecular features associated with a cellular condition, providing candidates for biomarkers. The same information can identify pathways altered in disease or infection and thereby inform therapeutic research. These findings can guide further investigation by highlighting molecular signals and biological processes associated with the condition under study.