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Transcriptome instability is a genome-wide, pre-mRNA splicing-related characteristic of certain cancers. In general, pre-mRNA splicing is dysregulated in a high proportion of cancerous cells. For certain types of cancer, like in colorectal and prostate, the number of splicing errors per cancer has been shown to vary greatly between individual cancers, a…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Transcriptome instability.
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.
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The extracted context around Transcriptome instability shows recurring relationship patterns in the source. For example, Transcriptome instability → genome-wide. 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.
transcriptome instability splicing cancers pre-mrna certain cells colorectal prostate dnmt3a genome-wide splicing-related characteristic general dysregulated high proportion cancerous types cancer
TTTA extracted 1 structured relationship around Transcriptome instability. Examples in this analysis include Transcriptome instability → is a → genome-wide. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Transcriptome instability | is a | genome-wide | 0.90 | text |
The concept neighborhoods around Transcriptome instability bring nearby vocabulary together. In this analysis, examples include Transcriptome, Cancers and Certain. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Transcriptome instability map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Transcriptome instability to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Transcriptome instability · EN edition · Analysis: TopicsToTalkAbout