Microrna Detection
Microrna Detection - Related Videos
01:22
MicroRNAs
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2019
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
08:30
MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)
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Cited by 18 •
2012
Quantitative Real Time polymerase chain reaction (qPCR) is a rapid and sensitive method to investigate the expression levels of various microRNA (miRNA) molecules in tumor samples. Using this method expression of hundreds of different miRNA molecules can be amplified, quantified, and analyzed from the same cDNA template.
09:06
MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
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Cited by 1 •
2025
The protocol describes a tandem immunofluorescence hybridization assay with formalin-fixed paraffin-embedded tissue to detect and quantify microRNA and multiplexed proteins simultaneously.
08:51
Northern Blot to Detect and Quantify Specific MicroRNA in Total RNA Extract of Plant Tissue
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2025
In this video, we demonstrate the northern blot, a hybridization technique to detect and quantify microRNAs (miRNAs) from total RNA extracted from plant tissue.
14:41
RNA Blot Analysis for the Detection and Quantification of Plant MicroRNAs
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Cited by 13 •
2020
This method demonstrates use of the northern hybridization technique to detect miRNAs from total RNA extract.
FAQs
MicroRNAs are short molecules, so assays must distinguish them from closely related sequences that may differ only slightly. Sequence-specific hybridization and amplification therefore require careful design to preserve specificity. This issue is important when interpreting expression profiles, because signals from related microRNAs can otherwise be difficult to attribute confidently to the intended target.
These methods translate microRNA recognition into measurable signals through different analytical strategies. Quantitative reverse-transcription PCR emphasizes targeted measurement, whereas Northern blotting, microarrays, and small-RNA sequencing support broader profiling approaches. The appropriate choice depends on whether the investigation prioritizes selected microRNAs or a wider view of the small-RNA population.
Altered profiles can reflect changes in host immune responses, pathogen-associated regulation, or interactions between host and pathogen. Comparing detected microRNAs across relevant samples can therefore connect molecular changes with cellular state and infection. Such patterns help investigators examine how infection-related regulation differs from other biological or disease-associated conditions.
Method selection should follow the biological question and the desired breadth of measurement. A targeted approach such as quantitative reverse-transcription PCR can focus on selected sequences, while microarrays or small-RNA sequencing can survey broader profiles; Northern blotting provides another measurement strategy. In each case, assay design must address short size and sequence similarity.
MicroRNA detection can be applied to blood or other samples, allowing investigators to examine circulating biomarkers as well as signals associated with immune or infected cellular environments. The resulting profiles may support disease classification and comparisons of host responses. Their value depends on relating the measured pattern to the relevant cellular state or infection context.
In this field, detection profiles support investigations of immune signaling and host-pathogen interactions while also enabling biomarker-oriented studies. Researchers can use measured patterns to examine disease-associated changes, classify disease states, and assess whether circulating signals have potential diagnostic relevance. The approach links sequence-level measurements with broader questions about infection and immune regulation.