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Postsynaptic density: Regions & Science
The postsynaptic density (PSD) is a protein dense specialization attached to the postsynaptic membrane. PSDs were originally identified by electron microscopy as an electron-dense region at the membrane of a postsynaptic neuron. The PSD is in close apposition to the presynaptic active zone and ensures that receptors are in close proximity to presynaptic…
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Postsynaptic density topic overview
The analysis highlights Regions and Science as prominent areas in the source structure around Postsynaptic density.
Related topics
29
Source areas
6
Connected nodes
35
Extracted relationships
97
Concept neighborhoods
22
Bridge connections
35
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.
Structure · 12 topics
Overview · 7 topics
General review · 5 topics
Function · 3 topics
Imaging · 1 topics
Structure and composition · 1 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.
Latin
densitas postsynaptica
MeSH
D057907
System
Nervous system
TH
H2.00.06.2.00021
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Postsynaptic density connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Postsynaptic density shows recurring relationship patterns in the source. For example, Postsynaptic density → Alié Alexandre, An, April, Banker, Baron MK, Berzins, Bibcode, Biol, Blomberg, BMC Evol, Boeckers TM, Boussac, Cell, Cell Biol, Chem, Cheng, Churchill, Cohen RS, Collins MO, Cotman CW Another extracted example is Postsynaptic density → Bibcode, December, Enlightening, June, Kennedy MB, Neuron, Neurosciences, October, PMID, S0166-2236, S0896-6273, S2CID, Science, Signal-processing, The, Trends, Ziff EB. Use these groups to spot repeated connection types before inspecting the individual relationships.
Postsynaptic density relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 97 structured relationships around Postsynaptic density. Examples in this analysis include Postsynaptic density → Latin → densitas postsynaptica and Postsynaptic density → MeSH → D057907. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Postsynaptic density
Latin
densitas postsynaptica
1.00
infobox
Postsynaptic density
MeSH
D057907
1.00
infobox
Postsynaptic density
System
Nervous system
1.00
infobox
Postsynaptic density
TH
H2.00.06.2.00021
1.00
infobox
LICONN embed the sample in a transparent gel
instance of
experimental optical expansion techniques
0.80
text
and use antibodies for labelling
instance of
experimental optical expansion techniques
0.80
text
Postsynaptic density
related to Composition
Many
0.60
section
Postsynaptic density
related to Composition
PSD
0.60
section
Postsynaptic density
related to Composition
These
0.60
section
Postsynaptic density
related to Composition
PSD95
0.60
section
Postsynaptic density
related to Composition
NMDA
0.60
section
Postsynaptic density
related to Composition
AMPA
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Postsynaptic density bring nearby vocabulary together. In this analysis, examples include Postsynaptic, Proteins and Kennedy. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Postsynaptic density
Postsynaptic
Proteins
Kennedy
Mass
Mb
Spectrometry
Al
Et
Protein
Identified
Membrane
Receptors
postsynaptic density
Postsynaptic
Proteins
Kennedy
Mb
Mass
Spectrometry
Al
Et
Protein
Synapses
Identified
Membrane
postsynaptic
Proteins
Kennedy
Mass
Mb
Spectrometry
Al
Et
Protein
Identified
Membrane
Receptors
Structure
postsynaptic density-95
Proteins
Kennedy
Mass
Mb
Spectrometry
Al
Et
Protein
Identified
Membrane
Receptors
Structure
scaffold proteins
Many
Psds
Activity
Mass
Spectrometry
Psd
Receptors
Signaling
Synaptic
Cellular
Kennedy
Mb
proteins
Many
Psds
Activity
Mass
Spectrometry
Psd
Receptors
Signaling
Synaptic
Cellular
Kennedy
Mb
synaptic plasticity
Psd
Synapses
Proteins
Activity
Cellular
Many
Presynaptic
Al
Et
Receptors
Structure
Composition
cellular junctions
Mass
Spectrometry
Et
Protein
Psd
Receptors
Signaling
Structure
Composition
Synaptic
Psds
Proteins
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Postsynaptic density, one of the stronger structural bridges in this analysis connects Postsynaptic density with Structure. 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
Postsynaptic density — Structure· splits 23 ⟂ 13Postsynaptic density — Overview· splits 28 ⟂ 8Postsynaptic density — General review· splits 30 ⟂ 6Postsynaptic density — Function· splits 32 ⟂ 4
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Postsynaptic density
Nodes36
Edges35
Triples97
Avg. degree1.94
Density0.055556
Components1
Source & methodology
TTTA analyzes the structure around Postsynaptic density to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
