Mirna Network
Mirna Network - Related Videos
03:59
miRNA Extraction: A Method to Extract miRNA from Plasma Sample
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2023
MicroRNAs (miRNAs) are tissue specific, small, non-coding RNAs regulating gene expression, and could represent ideal candidates for early detection of lung cancer. In the featured protocol, we will isolate microRNA from patient blood samples for early lung cancer screening.
04:33
Circulating miRNA Extraction: A Method to Isolate miRNA from Plasma Samples Via Organic Extraction and Small RNA Enrichment
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2023
This video describes the extraction of circulating microRNA from plasma samples of colorectal cancer patients using organic extraction followed by glass-fiber column enrichment. miRNAs are stable in biological fluids such as serum and plasma, which renders them ideal circulating biomarkers for cancer diagnosis, prognosis, and treatment decision-making and monitoring. This method will help identify new circulating biomarkers capable of predicting clinical outcomes in patients.
04:00
Modelling Intratumoral Treatment with miRNA Inhibitors: A Method to Analyze the Effect of miRNA Inhibitors on Tumor Growth in Murine Model
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2023
This video demonstrates the in vivo delivery of miRNA inhibitors as therapeutic agents against tumor growth in orthotopic mouse models. The intratumoral administration of synthetic miRNA inhibitors or antagomiRs allows them to bind and inhibit endogenous miRNAs, thereby causing mRNA upregulation and suppression of tumor growth.
05:38
RNA Extraction Assay: A Method to Extract RNA from miRNA Transfected Lung Cancer Cells
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2023
This video describes the RNA extraction protocol from miRNA transfected lung cancer cells. This approach can be used to identify a combinatorial miRNA treatment activity in halting the cell cycle and angiogenesis.
03:34
Cell Cycle Analysis: An Approach to Study Cell Cycle Regulation of miRNA-transfected Lung Cancer Cells
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2023
miRNA or microRNA are key regulators of cell cycle progression. This video describes a flow cytometry-based cell cycle analysis of lung cancer cells transfected with miRNA, to study the effect of miRNA on cell cycle regulation. Inhibition of proliferation by halting cell cycle progression has shown potential to be a promising approach for cancer treatment.
FAQs
Association places mature miRNA in an Argonaute-containing RNA-induced silencing complex, where it can guide sequence-based recognition of complementary messenger RNA regions. This interaction can reduce translation or promote transcript degradation. Examining this step clarifies how a regulatory signal becomes altered gene expression and why target-site complementarity is central to interpreting network effects.
The network's many-to-many structure allows one miRNA to influence multiple genes while several miRNAs can regulate one transcript. This arrangement lets regulatory influence diverge or converge across signaling pathways, feedback loops, and cell-state responses. Consequently, an observed cellular effect may reflect coordinated regulation rather than the action of one isolated miRNA-gene pair.
Analyzing the network captures both distributed regulation, in which one miRNA affects multiple genes, and convergent regulation, in which several miRNAs influence one transcript. This broader view can connect gene regulation with signaling pathways and feedback loops. It is therefore suited to studying coordinated cellular responses rather than treating each interaction as an isolated event.
Signaling pathways, feedback loops, and cell-state responses provide context for interpreting miRNA network activity. A network may therefore be examined as part of broader cellular regulation rather than as a fixed list of independent interactions. This context is particularly relevant when relating network behavior to health, disease, or changes in cellular function.
A useful investigation follows the regulatory sequence from miRNA processing to mature miRNA association with Argonaute-containing complexes, target recognition, and effects on translation or transcript stability. Researchers can then examine how multiple miRNAs and targets connect with signaling pathways or feedback loops. This workflow links molecular events to cellular functions and supports interpretation of disease-related network changes.
MiRNA networks can contribute to biomarker development by providing a framework for connecting regulatory patterns with health or disease states. Investigators can focus on network components and relationships rather than viewing each miRNA independently. Such analysis may help identify molecular features for further evaluation as biomarkers while showing how candidate signals relate to broader cellular regulation.
Because miRNAs influence multiple genes and transcripts can be controlled by several miRNAs, their network relationships can reveal regulatory points connected to disease mechanisms. In medicine, researchers use this systems context to support therapeutic target identification and to examine how a regulatory relationship might affect broader cellular functions.
The medical relevance of miRNA networks extends across cancer, cardiovascular disorders, and other conditions. In these settings, the networks provide a framework for studying disease mechanisms, developing biomarkers, and identifying therapeutic targets. Their connection to signaling pathways and cell-state responses also helps place molecular observations within changes in cellular function.