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GCaMP: History, Applications & Research

GCaMP is a genetically encoded calcium indicator (GECI) initially developed in 2001 by Junichi Nakai. It is a synthetic fusion of green fluorescent protein (GFP), calmodulin (CaM), and M13, a peptide sequence from myosin light-chain kinase. When bound to Ca2+, GCaMP fluoresces green with a peak excitation wavelength of 480 nm and a peak emission…

Language: English [EN]
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GCaMP topic overview

The analysis highlights History, Applications and Research as prominent areas in the source structure around GCaMP.

Related topics
72
Source areas
4
Connected nodes
76
Extracted relationships
45
Related term clusters
17
Bridge connections
76

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.

Applications in research · 38 topics
History and development · 14 topics
Overview · 14 topics
Structure · 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.

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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

Structure

History and development

Applications in research

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How GCaMP connects Entity context

The extracted context around GCaMP shows recurring relationship patterns in the source. For example, GCaMP → Bear, Bonder, Ca2, G-protein, GPCR, Greer, McCarthy, MS4A, Similarly, Since Ca2 Another extracted example is GCaMP → C-termini, C-terminus, Ca2, CaM, GFP, M13, N-terminus, The GFP, Upon Ca2. Use these groups to spot repeated connection types before inspecting the individual relationships.

GCaMP

Top relations

related to Signaling pathway activation · 10
GCaMP → Bear, Bonder, Ca2, G-protein, GPCR, Greer, McCarthy, MS4A, Similarly, Since Ca2
related to Structure · 9
GCaMP → C-termini, C-terminus, Ca2, CaM, GFP, M13, N-terminus, The GFP, Upon Ca2
related to Variants in use · 9
GCaMP → Ca2, GCaMP-X, GCaMP6, GCaMP6f, GCaMP6m, GCaMP6s, L-type, Since, Yang
related to Neuronal activity · 7
GCaMP → Ca2, Caenorhabditis, Drosophila, GECIs, GEVIs, Nguyen, Recently
related to history · 5
GCaMP → Ca2, GCaMP1, GCaMP2, Nakai, Tallini
related to Cardiac conduction · 4
GCaMP → Ca2, Chi, GCaMP2, Tallini
is a · 1
GCaMP → genetically encoded calcium indicator

Important terminology

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

Important terminology

ca2 used activity et al neurons also signaling fluorescent gfp neuronal calmodulin vivo green use mouse zebrafish imaging calcium developed

GCaMP relationships Subject–Predicate–Object triples

TTTA extracted 45 structured relationships around GCaMP. Examples in this analysis include GCaMP → is a → genetically encoded calcium indicator and GCaMP → related to Cardiac conduction → Ca2. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
GCaMPis agenetically encoded calcium indicator0.90text
GCaMPrelated to Cardiac conductionCa20.60section
GCaMPrelated to Cardiac conductionTallini0.60section
GCaMPrelated to Cardiac conductionGCaMP20.60section
GCaMPrelated to Cardiac conductionChi0.60section
GCaMPrelated to historyNakai0.60section
GCaMPrelated to historyGCaMP10.60section
GCaMPrelated to historyCa20.60section
GCaMPrelated to historyTallini0.60section
GCaMPrelated to historyGCaMP20.60section
GCaMPrelated to Neuronal activityCa20.60section
GCaMPrelated to Neuronal activityCaenorhabditis0.60section

Related concept clusters Related term clusters

The concept neighborhoods around GCaMP bring nearby vocabulary together. In this analysis, examples include Used, Activity and Neurons. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • GCaMP
    • Used
    • Activity
    • Neurons
    • Signaling
    • Expression
    • Zebrafish
    • Neuronal
    • Al
    • Control
    • Et
    • Since
    • Cardiac
  • gcamp
    • Used
    • Activity
    • Neurons
    • Signaling
    • Expression
    • Zebrafish
    • Neuronal
    • Al
    • Control
    • Et
    • Since
    • Cardiac
  • ca2+
    • Gcamp
    • Neurons
    • Used
    • Levels
    • Signaling
    • Al
    • Et
    • Instance
    • Measure
    • Vivo
    • Activity
    • Biological
  • voltage-gated ca2+ channels
    • Gcamp
    • Neurons
    • Used
    • Levels
    • Signaling
    • Al
    • Et
    • Instance
    • Measure
    • Vivo
    • Activity
    • Biological
  • green fluorescent protein
    • Indicators
    • Red
    • Green
    • Use
    • Excitation
    • Imaging
    • Calmodulin
    • Gfp
    • Also
    • Cell
    • Sequence
    • M13
  • red fluorescent protein
    • Use
    • Indicators
    • Red
    • Green
    • Excitation
    • Calmodulin
    • Imaging
    • Gfp
    • Also
    • Since
    • Sequence
    • Cam
  • calmodulin
    • Signaling
    • Cam
    • M13
    • Cardiac
    • Green
    • Fluorescent
    • Gfp
    • Sequence
    • Development
    • Since
    • Expression
    • Variants
  • zebrafish
    • Mice
    • Expression
    • Measure
    • Used
    • Gcamp
    • Activity
    • Al
    • Et
    • Neurons
    • Control
    • Excitation
    • Cardiac

Connections between topic areas Semantic bridges

For GCaMP, one of the stronger structural bridges in this analysis connects GCaMP with Applications in research. 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
GCaMP — Applications in research · splits 38 ⟂ 39
GCaMP — Overview · splits 62 ⟂ 15
GCaMP — History and development · splits 62 ⟂ 15
GCaMP — Structure · splits 70 ⟂ 7

Map overview Semantic statistics

GCaMP

Nodes77
Edges76
Triples45
Avg. degree1.97
Density0.025974
Components1

Source & methodology

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

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

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