Rna Capture Assay
Rna Capture Assay - Related Videos
07:42
Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
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Cited by 15 •
2015
The goal of this protocol is to use laser-capture micro-dissection as an effective method to isolate pure populations of cell types from heterogeneous prostate tissues for downstream RNA analysis.
09:36
Capture and Identification of RNA-binding Proteins by Using Click Chemistry-assisted RNA-interactome Capture (CARIC) Strategy
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Cited by 15 •
2018
A detailed protocol for applying the click chemistry-assisted RNA-interactome capture (CARIC) strategy to identify proteins binding to both coding and noncoding RNAs is presented.
09:21
Laser Capture Microdissection of Paraformaldehyde-Fixed Mouse Liver Tissue for RNA Analysis
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2026
This protocol describes a method to isolate RNA from defined histological regions of paraformaldehyde-fixed, Optimal Cutting Temperature compound-embedded mouse liver tissue using laser capture microdissection, enabling targeted downstream gene expression analysis.
02:14
Prey Capture Assay: A Method to Study the Prey Capture Behavior of Zebrafish Larva
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2023
This video describes the prey capture assay. The video discusses the method to study prey capture behavior of zebrafish larvae after the laser ablation of specific neurons.
07:01
RNA Isolation from Cell Specific Subpopulations Using Laser-capture Microdissection Combined with Rapid Immunolabeling
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Cited by 9 •
2015
Gene expression analysis of a subset of cells in a specific tissue represents a major challenge. This article describes how to isolate high-quality total RNA from a specific cell population by combining a rapid immunolabeling method with laser capture microdissection.
FAQs
Selectivity arises when complementary oligonucleotide probes hybridize to the RNA transcripts chosen for study. This pairing directs recovery toward selected molecules rather than the entire RNA mixture in a biological sample. The resulting enrichment supports focused measurement of gene expression or sequence features, especially when the investigation centers on particular transcripts or regulatory RNA species.
Biotin provides an affinity tag on the probe or resulting RNA-probe complex, while streptavidin-coated magnetic beads bind that tag. This interaction allows the complexes to be recovered from the surrounding sample. Washing removes material that was not retained, and elution releases the enriched RNA for subsequent quantitative analysis or sequencing.
A complex biological sample may contain many RNA species, but the assay concentrates analysis on transcripts selected by the probes. This focused enrichment can make particular gene-expression signals, sequence variation, or low-level RNA species easier to examine than an unfocused measurement of the entire mixture. The approach therefore connects probe selection directly to the biological question.
By isolating selected molecules before measurement, the method produces an enriched material fraction for downstream testing. That concentration is relevant when the target RNA occurs at a low level within a complex sample. Quantitative methods can then assess transcript abundance, while sequencing can examine the recovered molecules for sequence variation or other transcript-level information.
A typical workflow begins by combining the biological sample with complementary probes for the selected transcripts. The RNA-probe complexes are recovered through an affinity interaction involving tags such as biotin and streptavidin-coated magnetic beads. After washing, the retained material is eluted and directed to quantitative measurement or sequencing, depending on the study goal.
The enriched RNA can be measured with quantitative methods to evaluate transcript abundance. Alternatively, sequencing can characterize the recovered material and reveal sequence variation or low-level RNA species. These readouts allow the same targeted isolation strategy to support either expression-focused studies or investigations requiring sequence-level information.
Applications include examining regulatory RNAs, investigating disease-associated transcripts, detecting pathogen-related RNA, and supporting transcriptome profiling. Its value lies in connecting selective recovery with a defined biological question. Researchers can focus analysis on transcripts relevant to regulation, disease, infection, or broader expression patterns rather than treating every RNA molecule in the sample identically.