Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Myc is a family of regulator genes and proto-oncogenes that code for transcription factors. The Myc family consists of three related human genes: c-myc (MYC), l-myc (MYCL), and n-myc (MYCN). c-myc (also sometimes referred to as MYC) was the first gene to be discovered in this family, due to homology with the viral gene v-myc.
The analysis highlights Interactions, Function and Overview as prominent areas in the source structure around Myc.
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 Myc shows recurring relationship patterns in the source. For example, Myc → AKT, Also, AMPK, Burkitt, Classical, CML, CR, Cre-Loxp, Drosophila, During, Haplo-insufficient, IgM, In, In Drosophila Myc, John, Later, Less TOR, One, S6K, Sedivy Another extracted example is Myc → Cells, Forced Expression, Generating, Human Myc, InterPro, IPR002418, IPR003327The Myc ProteinNCBI Human, IPR011598, Klf4 Archived, Medicine Medical Subject Headings, MEFS, MeSH, National Library, Oct-4, PDB, Proteins, Proto-Oncogene, Sox-2, The Interactive FlyFactorBookC-MycPDBe-KB, Wayback MachineDrosophila Myc. 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.
c-myc genes expression cells cancer cell also stem gene family transcription human factors lymphoma role n-myc myc-nick proteins differentiation myc-r
TTTA extracted 140 structured relationships around Myc. Examples in this analysis include Myc → Alt. symbols → c-Myc, v-myc and Myc → Domains → InterPro. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Myc | Alt. symbols | c-Myc, v-myc | 1.00 | infobox |
| Myc | Domains | InterPro | 1.00 | infobox |
| Myc | HGNC | 7553 | 1.00 | infobox |
| Myc | Locus | Chr. 8 q24.21 | 1.00 | infobox |
| Myc | NCBI gene | 4609 | 1.00 | infobox |
| Myc | OMIM | 190080 | 1.00 | infobox |
| Myc | RefSeq | NM_001354870.1 | 1.00 | infobox |
| Myc | Search for | Search forStructuresSwiss-modelDomainsInterPro | 1.00 | infobox |
| Myc | Structures | Swiss-model | 1.00 | infobox |
| Myc | Symbol | MYC | 1.00 | infobox |
| Myc | UniProt | P01106 | 1.00 | infobox |
| Myc | Wikidata | Q20969939 | 1.00 | infobox |
| Myc | causes | tumorigenesis | 0.90 | text |
| Myc | is a | family of regulator genes and proto-oncogenes that code for transcription factors | 0.90 | text |
The concept neighborhoods around Myc bring nearby vocabulary together. In this analysis, examples include Expression, Cells and Gene. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Myc, one of the stronger structural bridges in this analysis connects Myc with Interactions. 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 Myc to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Interactions, Function & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Myc · EN edition · Analysis: TopicsToTalkAbout