Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) is a family of transcription factor protein complexes that controls transcription of DNA, cytokine production and cell survival. NF-κB is found in almost all animal cell types and is involved in cellular responses to stressful stimuli like cytokines, free radicals, heavy metals…
The analysis highlights Members and Products as prominent areas in the source structure around NF-κB.
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 NF-κB shows recurring relationship patterns in the source. For example, NF-κB → BAFF, DNA, Given, However, IKK1/IKKa, IKK2-IκB-RelA, In, It, IκBα, LTβR, Mechanistically, Moreover, Most, NEMO-IKK2, NF-κB/RelB, NF-κB2, Nfkb2, Nfkb2-mediated, NIK, On Another extracted example is NF-κB → Activation, AIDS, DNA-binding, HIV, HIV-1, IKK, IKKα, IKKβ, IKKγ, In, IκB, IκBα, NEMO, The, This, Translocation, When, With, Yersinia, YopP. 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.
activation cells cell activity genes pathway p52 cancer immune also protein transcription proteins relb response canonical system p100 expression non-canonical
TTTA extracted 226 structured relationships around NF-κB. Examples in this analysis include NF-κB → Domains → InterPro and NF-κB → HGNC → 7794. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| NF-κB | Domains | InterPro | 1.00 | infobox |
| NF-κB | HGNC | 7794 | 1.00 | infobox |
| NF-κB | Locus | Chr. 4 q24 | 1.00 | infobox |
| NF-κB | NCBI gene | 4790 | 1.00 | infobox |
| NF-κB | OMIM | 164011 | 1.00 | infobox |
| NF-κB | RefSeq | NM_003998 | 1.00 | infobox |
| NF-κB | Search for | Search forStructuresSwiss-modelDomainsInterPro | 1.00 | infobox |
| NF-κB | Structures | Swiss-model | 1.00 | infobox |
| NF-κB | Symbol | NFKB1 | 1.00 | infobox |
| NF-κB | UniProt | P19838 | 1.00 | infobox |
| NF-κB | is a | subject of much active research among pharmaceutical companies as a target for anti-cancer therapy.However | 0.90 | text |
| NF-κB | is a | Fas transcription activator and the alternative NF-κB is a Fas transcription repressor | 0.90 | text |
| NF-κB | is a | central component of the cellular response to damage | 0.90 | text |
| NF-κB | is a | key player in the inflammatory response | 0.90 | text |
The concept neighborhoods around NF-κB bring nearby vocabulary together. In this analysis, examples include Activation, Genes and Activity. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For NF-κB, one of the stronger structural bridges in this analysis connects NF-κB with Signaling. 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 NF-κB to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Members & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — NF-κB · EN edition · Analysis: TopicsToTalkAbout