Nascent Rna
Nascent Rna - Related Videos
06:46
Metabolic Labeling of the Nascent Transcriptome in Xenopus Early Embryogenesis
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2026
We provide detailed methods to metabolically label and purify nascent transcripts for transcriptome analysis in Xenopus early embryos using 5-ethynyl-uridine (5-EU).
08:26
Transcriptional Analysis by Nascent RNA FISH of In Vivo Trophoblast Giant Cells or In Vitro Short-term Cultures of Ectoplacental Cone Explants
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Cited by 2 •
2016
Trophoblast giant cells (TGCs) play a key role in the placenta to ensure a healthy pregnancy. We present a protocol for assessing the transcriptional status of genes in TGCs by nascent fluorescent in situ hybridization on cryostat sections of post-implantation embryos or short-term cultures of embryonic day 7 ectoplacental cones.
10:15
Isolation of Ribosome Bound Nascent Polypeptides in vitro to Identify Translational Pause Sites Along mRNA
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Cited by 2 •
2012
A technique to identify translational pause sites on mRNA is described. This procedure is based on isolation of nascent polypeptides accumulating on ribosomes during in vitro translation of a target mRNA, followed by the size analysis of the nascent chains using a denaturing gel electrophoresis.
09:14
Examination of Proteins Bound to Nascent DNA in Mammalian Cells Using BrdU-ChIP-Slot-Western Technique
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Cited by 4 •
2016
In this protocol, we describe a novel BrdU-ChIP-Slot-Western technique to examine proteins and histone modifications associated with newly synthesized or nascent DNA.
12:38
Use of Immunolabeling to Analyze Stable, Dynamic, and Nascent Microtubules in the Zebrafish Embryo
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Cited by 1 •
2017
Immunolabeling methods to analyze distinct populations of microtubules in the developing zebrafish brain are described here, which are broadly applicable to other tissues. The first protocol outlines an optimized method for immunolabeling stable and dynamic microtubules. The second protocol provides a method to image and quantify nascent microtubules specifically.
FAQs
Nascent RNA measurements help distinguish a change in transcription from a change in RNA stability. If newly produced transcripts shift, the result points to altered gene production, whereas total RNA levels alone may also reflect how long existing molecules persist. This distinction is important when interpreting rapid immune responses, where both gene activation and transcript turnover can influence observed RNA abundance.
RNA polymerases connect DNA templates to the production of emerging transcripts, while the short length of these molecules makes them useful indicators of activity near the time of synthesis. Capturing these transcripts therefore links an observed RNA signal to active transcription rather than only to the accumulated pool of older RNA.
Total RNA measurements combine newly made transcripts with RNA that was already present. Nascent RNA analysis narrows attention to the transcriptional component, allowing investigators to ask whether a gene changed because its production changed or because existing RNA became more or less stable. This distinction improves interpretation of expression data from immune and infection studies.
Pathogen recognition, cytokine stimulation, and antiviral signaling can rapidly activate or silence immune genes. Measuring newly produced transcripts reveals these transcriptional responses as they occur, rather than showing only the later abundance of accumulated RNA. This timing helps investigators characterize how immune cells change gene expression after sensing infection-related or signaling cues.
Researchers can use metabolic labeling, run-on assays, or sequencing approaches that distinguish new RNA from preexisting RNA. These strategies offer different ways to capture transcriptional activity, but their shared purpose is to identify recently produced transcripts. That focus allows measurements to reflect ongoing gene expression instead of the entire pool of RNA present in a sample.
By measuring newly produced transcripts, investigators can assess how immune cells activate or silence genes after pathogen recognition, cytokine stimulation, or antiviral signaling. The resulting data help characterize host responses while separating transcriptional regulation from RNA stability. This provides a clearer basis for studying the timing and direction of gene-control changes during infection-related responses.
Nascent RNA analysis can reveal whether infection-associated changes arise from altered transcription rather than changes in the persistence of existing RNA. In turn, researchers can examine host responses and pathogen-driven gene control with greater mechanistic clarity. These findings may help identify transcriptional processes or response pathways that warrant investigation as potential therapeutic targets.