Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Interferon-lambda receptor (IFNLR), formerly known as the interleukin-28 receptor (IL28R), is a type II cytokine receptor found largely in epithelial cells. It binds the type III interferons (IFN-λs), which in humans include IFN-λ1 (IL29), IFN-λ2 (IL28A), IFN-λ3 (IL28B), and IFN-λ4. It is a heterodimer of two chains, α (IFNLR1) and β (IL10RB, shared with…
The analysis highlights Geography, Function and Location as prominent areas in the source structure around Interferon-lambda receptor.
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 Interferon-lambda receptor shows recurring relationship patterns in the source. For example, Interferon-lambda receptor → IL28RA, CRF2/12, IFNLR, IL-28R1 Another extracted example is Interferon-lambda receptor → InterPro. 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.
receptor type cells signaling interferons also interferon ifnlr1 ifnlr expression cell binding chain cytokine found two monocytes gene il10rb result
TTTA extracted 33 structured relationships around Interferon-lambda receptor. Examples in this analysis include Interferon-lambda receptor → Alt. symbols → IL28RA, CRF2/12, IFNLR, IL-28R1 and Interferon-lambda receptor → Domains → InterPro. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Interferon-lambda receptor | Alt. symbols | IL28RA, CRF2/12, IFNLR, IL-28R1 | 1.00 | infobox |
| Interferon-lambda receptor | Domains | InterPro | 1.00 | infobox |
| Interferon-lambda receptor | HGNC | 18584 | 1.00 | infobox |
| Interferon-lambda receptor | Locus | Chr. 1 p36.11 | 1.00 | infobox |
| Interferon-lambda receptor | NCBI gene | 163702 | 1.00 | infobox |
| Interferon-lambda receptor | OMIM | 607404 | 1.00 | infobox |
| Interferon-lambda receptor | RefSeq | NM_170743 | 1.00 | infobox |
| Interferon-lambda receptor | Search for | Search forStructuresSwiss-modelDomainsInterPro | 1.00 | infobox |
| Interferon-lambda receptor | Structures | Swiss-model | 1.00 | infobox |
| Interferon-lambda receptor | Symbol | IFNLR1 | 1.00 | infobox |
| Interferon-lambda receptor | UniProt | Q8IU57 | 1.00 | infobox |
| IL-10 | instance of | The β chain is also used in the receptors for other cytokines | 0.80 | text |
The concept neighborhoods around Interferon-lambda receptor bring nearby vocabulary together. In this analysis, examples include Type, Also and Signaling. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Interferon-lambda receptor, one of the stronger structural bridges in this analysis connects Interferon-lambda receptor with Function. 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 Interferon-lambda receptor to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Geography, Function & Location, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Interferon-lambda receptor · EN edition · Analysis: TopicsToTalkAbout