Plasma Microrna Quantification
Plasma Microrna Quantification - Related Videos
07:37
Circulating MicroRNA Quantification Using DNA-binding Dye Chemistry and Droplet Digital PCR
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Cited by 10 •
2016
A sensitive and accurate method for cell-free microRNAs quantification using a dye-based chemistry and droplet digital PCR technology is described.
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...
10:23
Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR
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Cited by 13 •
2018
This report describes a protocol for measuring the absolute levels of plasma miRNA, using quantitative real-time reverse transcription PCR with or without pre-amplification. This protocol affords better understanding of the quantity of plasma miRNAs and allows qualitative assessment of corresponding data from different studies or laboratories.
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.
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
Circulating microRNAs act as measurable molecular signals in plasma because their abundance can reflect gene-regulatory activity and cell-to-cell communication. Measuring their levels allows investigators to examine biological changes without relying only on cellular material from a tissue. This extracellular perspective is especially useful when studying molecular signatures associated with disease or changes following treatment.
Normalization helps distinguish biological differences in microRNA abundance from variation introduced during plasma handling, RNA extraction, or measurement. Without this adjustment, sample-to-sample differences may reflect technical recovery rather than genuine molecular changes. Appropriate normalization therefore strengthens comparisons among plasma samples and supports more reliable interpretation of biomarker patterns and treatment-associated responses.
Quantitative PCR is suited to measuring selected microRNA sequences, whereas sequencing can profile many sequences in the same analysis. The choice depends on whether the study focuses on a defined set of candidates or seeks a broader molecular profile. Both approaches require careful interpretation because extraction and sample variation can influence the measured signal.
A typical workflow begins with plasma and isolates cell-free RNA, then converts the recovered microRNAs into complementary DNA through reverse transcription. The resulting material is analyzed either by quantitative PCR for selected sequences or by sequencing for broader profiling. Normalization is incorporated to account for variation associated with extraction and the original sample.
The measurements can support investigations of gene regulation, communication between cells, disease-associated biomarkers, and responses to treatment. Researchers can compare circulating molecular signatures across biological conditions or monitor whether those signatures change during an intervention. These applications make plasma microRNA analysis relevant to both mechanistic biology and the development of molecular monitoring strategies.
Stable circulating signals can be evaluated as disease-associated biomarkers or as indicators of treatment response. Because the analysis uses plasma rather than requiring direct access to the signaling cells, it supports research into minimally invasive diagnostic and monitoring strategies. Reliable quantification is essential for determining whether observed molecular signatures consistently reflect the biological condition of interest.