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MiR-33: Applications, Regions & Products

miR-33 is a family of microRNA precursors, which are processed by the Dicer enzyme to give mature microRNAs. miR-33 is found in several animal species, including humans. In some species there is a single member of this family which gives the mature product mir-33. In humans there are two members of this family called mir-33a and mir-33b, which are…

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MiR-33 topic overview

The analysis highlights Applications, Regions and Products as prominent areas in the source structure around MiR-33.

Related topics
21
Source areas
3
Connected nodes
24
Extracted relationships
25
Concept neighborhoods
11
Bridge connections
24

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.

Function · 13 topics
Overview · 6 topics
Applications · 2 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
mir33a
Domain
Metazoa
GO
0035195
HGNC
31634
Locus
Chr. 22 q13.2
miRBase
MI0000091

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

Function

Applications

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 MiR-33 connects Entity context

The extracted context around MiR-33 shows recurring relationship patterns in the source. For example, MiR-33 → ABC, ABCA1, ABCG1, Further, HDL, Involved, It, Potential, This Another extracted example is MiR-33 → Page, Rfam. Use these groups to spot repeated connection types before inspecting the individual relationships.

MiR-33

Top relations

related to Function · 9
MiR-33 → ABC, ABCA1, ABCG1, Further, HDL, Involved, It, Potential, This
related to External links · 2
MiR-33 → Page, Rfam
Alt. Symbols · 1
MiR-33 → mir33a
Domain · 1
MiR-33 → Metazoa
GO · 1
MiR-33 → 0035195
HGNC · 1
MiR-33 → 31634
Locus · 1
MiR-33 → Chr. 22 q13.2
miRBase · 1
MiR-33 → MI0000091
miRBase family · 1
MiR-33 → MIPF0000070
NCBI Gene · 1
MiR-33 → 407039

Important terminology

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

Important terminology

family microrna humans mir-33a mature species related including mir-33b genes chr 22 q13 rfam function p53 dicer intronic metabolism fatty

MiR-33 relationships Subject–Predicate–Object triples

TTTA extracted 25 structured relationships around MiR-33. Examples in this analysis include MiR-33 → Alt. Symbols → mir33a and MiR-33 → Domain → Metazoa. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MiR-33Alt. Symbolsmir33a1.00infobox
MiR-33DomainMetazoa1.00infobox
MiR-33GO00351951.00infobox
MiR-33HGNC316341.00infobox
MiR-33LocusChr. 22 q13.21.00infobox
MiR-33miRBaseMI00000911.00infobox
MiR-33miRBase familyMIPF00000701.00infobox
MiR-33NCBI Gene4070391.00infobox
MiR-33PDB structuresPDBe1.00infobox
MiR-33RfamRF006671.00infobox
MiR-33RNA typemiRNA1.00infobox
MiR-33SO00012441.00infobox
MiR-33SymbolmiR-33a1.00infobox
MiR-33is afamily of microRNA precursors0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around MiR-33 bring nearby vocabulary together. In this analysis, examples include Including, Mature and P53. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • MiR-33
    • Including
    • Mature
    • P53
    • Related
    • Species
    • Animal
    • Dicer
    • Enzyme
    • Found
    • Give
    • Gives
    • Member
  • mir-33
    • Including
    • Mature
    • P53
    • Related
    • Species
    • Animal
    • Dicer
    • Enzyme
    • Found
    • Give
    • Gives
    • Member
  • humans
    • Called
    • Intronic
    • Located
    • Members
    • Micrornas
    • Precursors
    • Processed
    • Regions
    • Several
    • Two
    • Within
    • Genes
  • microrna
    • Animal
    • Dicer
    • Enzyme
    • Found
    • Give
    • Micrornas
    • Precursors
    • Processed
    • Several
    • Function
    • Humans
    • Including
  • dicer
    • Animal
    • Enzyme
    • Found
    • Give
    • Micrornas
    • Precursors
    • Processed
    • Several
    • Humans
    • Including
    • Mature
    • Species
  • protein-coding genes
    • Mir-33b
    • Mir-33a
    • Intronic
    • Located
    • Members
    • Regions
    • Two
    • Within
    • Acid
    • Fatty
    • Humans
    • Metabolism
  • fatty acid degradation
    • Acid
    • Fatty
    • Genes
    • Metabolism
    • Mir-33b
    • Related
    • Mir-33a
    • Mir-33
  • intronic
    • Located
    • Members
    • Regions
    • Two
    • Within
    • Mir-33b
    • Mir-33a

Connections between topic areas Semantic bridges

For MiR-33, one of the stronger structural bridges in this analysis connects MiR-33 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.

Min side: 3
MiR-33Function · splits 11 ⟂ 14
MiR-33Overview · splits 18 ⟂ 7
MiR-33Applications · splits 22 ⟂ 3

Map overview Semantic statistics

MiR-33

Nodes25
Edges24
Triples25
Avg. degree1.92
Density0.08
Components1

Source & methodology

TTTA analyzes the structure around MiR-33 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Regions & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — MiR-33 · EN edition · Analysis: TopicsToTalkAbout

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