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FCER1: Regions, Measurement & Standards

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…

Language: English [EN]
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FCER1 topic overview

The analysis highlights Regions, Measurement and Standards as prominent areas in the source structure around FCER1.

Related topics
34
Source areas
3
Connected nodes
37
Extracted relationships
11
Concept neighborhoods
25
Bridge connections
37

What this topic covers Research coverage

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.

Overview · 17 topics
Tissue distribution · 11 topics
Mechanism of action · 6 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Alt. symbols
FcεRIα, FCE1A
Domains
InterPro
HGNC
3609
Locus
Chr. 1 q23
NCBI gene
2205
OMIM
147140

Explore all related topics Closing gaps

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.

Overview

Tissue distribution

Mechanism of action

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How FCER1 connects Entity context

The extracted context around FCER1 shows recurring relationship patterns in the source. For example, FCER1 → FcεRIα, FCE1A Another extracted example is FCER1 → InterPro. Use these groups to spot repeated connection types before inspecting the individual relationships.

FCER1

Top relations

Alt. symbols · 1
FCER1 → FcεRIα, FCE1A
Domains · 1
FCER1 → InterPro
HGNC · 1
FCER1 → 3609
Locus · 1
FCER1 → Chr. 1 q23
NCBI gene · 1
FCER1 → 2205
OMIM · 1
FCER1 → 147140
RefSeq · 1
FCER1 → NM_002001
Search for · 1
FCER1 → Search forStructuresSwiss-modelDomainsInterPro
Structures · 1
FCER1 → Swiss-model
Symbol · 1
FCER1 → FCER1A

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

cells fcεri basophils fcεriα ige receptor mast also fc antibody beta inflammation q23 eosinophils known epsilon ri expressed chr distribution

FCER1 relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around FCER1. Examples in this analysis include FCER1 → Alt. symbols → FcεRIα, FCE1A and FCER1 → Domains → InterPro. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
FCER1Alt. symbolsFcεRIα, FCE1A1.00infobox
FCER1DomainsInterPro1.00infobox
FCER1HGNC36091.00infobox
FCER1LocusChr. 1 q231.00infobox
FCER1NCBI gene22051.00infobox
FCER1OMIM1471401.00infobox
FCER1RefSeqNM_0020011.00infobox
FCER1Search forSearch forStructuresSwiss-modelDomainsInterPro1.00infobox
FCER1StructuresSwiss-model1.00infobox
FCER1SymbolFCER1A1.00infobox
FCER1UniProtP123191.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around FCER1 bring nearby vocabulary together. In this analysis, examples include Isotype, Parasite and Region. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • smooth muscle cells
    • Airway
    • Muscle
    • Smooth
    • Mast
    • Basophils
    • Fcεri
    • Antibodies
    • Cytokines
    • Release
    • Eosinophils
    • Expressed
    • Mediators
  • antibody
    • Allergy
    • Fcεriβ
    • Fcεriγ
    • High-affinity
    • Isotype
    • Parasite
    • Region
    • Beta
    • Epsilon
    • Known
    • Ri
    • Fc
  • mast cells
    • Mast
    • Basophils
    • Fcεri
    • Eosinophils
    • Expressed
    • Mediators
    • Crosslinking
    • Degranulation
    • Q23
    • Release
    • Fcεriβ
    • Fcεriγ
  • langerhans cells
    • Mast
    • Basophils
    • Fcεri
    • Eosinophils
    • Expressed
    • Mediators
    • Fcεriβ
    • Fcεriγ
    • Airway
    • Crosslinking
    • Cytokines
    • Degranulation
  • antigen-presenting cells
    • Mast
    • Basophils
    • Fcεri
    • Eosinophils
    • Expressed
    • Mediators
    • Fcεriβ
    • Fcεriγ
    • Airway
    • Crosslinking
    • Cytokines
    • Degranulation
  • basophils
    • Mast
    • Cells
    • Degranulation
    • Eosinophils
    • Fcεriα
    • Fcεri
    • Fcεriβ
    • Fcεriγ
    • Antibodies
    • Beta
    • Crosslinking
    • Expressed
  • ige
    • Receptor
    • Isotype
    • Parasite
    • Region
    • Tetrameric
    • Airway
    • Antibodies
    • Autoantibodies
    • Cytokines
    • Found
    • Known
    • Muscle
  • fcεriα
    • Autoantibodies
    • Isolated
    • Basophils
    • Fcεriβ
    • Fcεriγ
    • Antibodies
    • Chr
    • Crosslinking
    • Degranulation
    • Distribution
    • Found
    • Ige

Connections between topic areas Semantic bridges

For FCER1, one of the stronger structural bridges in this analysis connects FCER1 with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
FCER1 — Overview · splits 20 ⟂ 18
FCER1 — Tissue distribution · splits 26 ⟂ 12
FCER1 — Mechanism of action · splits 31 ⟂ 7

Map overview Semantic statistics

FCER1

Nodes38
Edges37
Triples11
Avg. degree1.95
Density0.052632
Components1

Source & methodology

TTTA analyzes the structure around FCER1 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions, Measurement & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — FCER1 · EN edition · Analysis: TopicsToTalkAbout

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