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The high-affinity IgE receptor, also known as FcεRI, or Fc epsilon RI, is the high-affinity receptor for the Fc region of immunoglobulin E (IgE), an antibody isotype involved in allergy disorders and parasite immunity. FcεRI is a tetrameric receptor complex that binds Fc portion of the ε heavy chain of IgE. It consists of one alpha (FcεRIα – antibody…
Regions, Measurement & Standards
Explore the main themes, entities and connections around FCER1. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
cells fcεri basophils fcεriα ige receptor mast also fc antibody beta inflammation q23 eosinophils known epsilon ri expressed chr distribution
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| FCER1 | Alt. symbols | FcεRIα, FCE1A | 1.00 | infobox |
| FCER1 | Domains | InterPro | 1.00 | infobox |
| FCER1 | HGNC | 3609 | 1.00 | infobox |
| FCER1 | Locus | Chr. 1 q23 | 1.00 | infobox |
| FCER1 | NCBI gene | 2205 | 1.00 | infobox |
| FCER1 | OMIM | 147140 | 1.00 | infobox |
| FCER1 | RefSeq | NM_002001 | 1.00 | infobox |
| FCER1 | Search for | Search forStructuresSwiss-modelDomainsInterPro | 1.00 | infobox |
| FCER1 | Structures | Swiss-model | 1.00 | infobox |
| FCER1 | Symbol | FCER1A | 1.00 | infobox |
| FCER1 | UniProt | P12319 | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.