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Micro ribonucleic acid (microRNA, miRNA, μRNA) are small, single-stranded, non-coding RNA molecules containing 21–23 nucleotides. Found in plants, animals, and even some viruses, miRNAs are involved in RNA silencing and post-transcriptional regulation of gene expression. miRNAs base-pair to complementary sequences in messenger RNA (mRNA) molecules, then…
The analysis highlights History and Applications as prominent areas in the source structure around MicroRNA. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around MicroRNA shows recurring relationship patterns in the source. For example, MicroRNA → Animal, Drosophila, For, In, Partially, Perfect, Recent, RNA, RNAs, The, This, UTR, While Another extracted example is MicroRNA → For, LNA, Morpholino, O-methyl RNA, PCR, RNase-free, RNases, RT-PCR, The, This, Variations, While. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
mirnas mirna expression gene mrna also rna genes target micrornas may found human cells protein role many dna regulation development
TTTA extracted 68 structured relationships around MicroRNA. Examples in this analysis include viruses → instance of → miRNA repertoires in the two kingdoms appear to have emerged independently with different primary modes of action.microRNAs are useful phylogenetic markers because of their appa… and the relationships of arthropods → instance of → and they are being looked upon as a possible solution to outstanding phylogenetic problems. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| viruses | instance of | miRNA repertoires in the two kingdoms appear to have emerged independently with different primary modes of action.microRNAs are useful phylogenetic markers because of their appa… | 0.80 | text |
| the relationships of arthropods | instance of | and they are being looked upon as a possible solution to outstanding phylogenetic problems | 0.80 | text |
| MicroRNA | related to Cellular functions | The | 0.60 | section |
| MicroRNA | related to Cellular functions | For | 0.60 | section |
| MicroRNA | related to Cellular functions | RNAs | 0.60 | section |
| MicroRNA | related to Cellular functions | Animal | 0.60 | section |
| MicroRNA | related to Cellular functions | UTR | 0.60 | section |
| MicroRNA | related to Cellular functions | Perfect | 0.60 | section |
| MicroRNA | related to Cellular functions | RNA | 0.60 | section |
| MicroRNA | related to Cellular functions | This | 0.60 | section |
| MicroRNA | related to Cellular functions | In | 0.60 | section |
| MicroRNA | related to Cellular functions | Partially | 0.60 | section |
The concept neighborhoods around MicroRNA bring nearby vocabulary together. In this analysis, examples include Micrornas, Small and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MicroRNA, one of the stronger structural bridges in this analysis connects MicroRNA with Human and animal diseases. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around MicroRNA to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MicroRNA · EN edition · Analysis: TopicsToTalkAbout