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Patch-sequencing: Works & Applications

Patch-sequencing (patch-seq) is a modification of patch-clamp technique that combines electrophysiological, transcriptomic and morphological characterization of individual neurons. In this approach, the neuron's cytoplasm is collected and processed for RNAseq after electrophysiological recordings are performed on it. The cell is simultaneously filled…

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Patch-sequencing topic overview

The analysis highlights Works and Applications as prominent areas in the source structure around Patch-sequencing.

Related topics
55
Source areas
8
Connected nodes
63
Extracted relationships
24
Concept neighborhoods
17
Bridge connections
63

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.

Patch-sequencing workflow · 13 topics
Background · 12 topics
Future directions · 10 topics
Downstream data analysis · 9 topics
Overview · 5 topics
Preparation and model system choice · 4 topics
Applications · 1 topics
Limitations · 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.

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

Background

Preparation and model system choice

Patch-sequencing workflow

Downstream data analysis

Applications

Limitations

Future directions

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 Patch-sequencing connects Entity context

See recurring relationship patterns around Patch-sequencing before inspecting the individual extracted relationships.

Important terminology

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

Important terminology

cell data patch-seq neurons cells neuronal morphological electrophysiological patch quality pipette recording types sequencing well using type seal nucleus neuron

Patch-sequencing relationships Subject–Predicate–Object triples

TTTA extracted 24 structured relationships around Patch-sequencing. Examples in this analysis include pancreatic or cardiac cells → instance of → Patch-seq is also applied to non-neuronal studies and MIES → instance of → The data is recorded and analyzed with commercial or open-source software. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
pancreatic or cardiac cellsinstance ofPatch-seq is also applied to non-neuronal studies0.80text
MIESinstance ofThe data is recorded and analyzed with commercial or open-source software0.80text
PATCHMASTERinstance ofThe data is recorded and analyzed with commercial or open-source software0.80text
pCLAMPinstance ofThe data is recorded and analyzed with commercial or open-source software0.80text
WaveSurferinstance ofThe data is recorded and analyzed with commercial or open-source software0.80text
among others.Neurons are pre-stimulated to verify their resting membrane potentialinstance ofThe data is recorded and analyzed with commercial or open-source software0.80text
stabilize their baseline acrossinstance ofThe data is recorded and analyzed with commercial or open-source software0.80text
within experimentsinstance ofThe data is recorded and analyzed with commercial or open-source software0.80text
the Compresstome vibratomeinstance ofHealthy brain slices are typically prepared using tools0.80text
ensuring optimal conditions for accurateinstance ofHealthy brain slices are typically prepared using tools0.80text
reliable recordings.Nucleus extractionNegative pressure is used to move the nucleus near the pipette tip while moving the electrode near the center of the somainstance ofHealthy brain slices are typically prepared using tools0.80text
astrocytes or other types of neuronsinstance ofin some cases including RNA contamination from adjacent cells0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Patch-sequencing bring nearby vocabulary together. In this analysis, examples include Transcriptomic, Morphology and Reconstruction. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • electrophysiological
    • Morphological
    • Properties
    • Data
    • Recording
    • Morphology
    • Quality
    • Neuronal
    • Technique
    • Expression
    • Neuron
    • Nucleus
    • Sequencing
  • cell bodies (soma)
    • Pipette
    • Type
    • Types
    • Recording
    • Neuronal
    • Seal
    • Neurons
    • Patch-seq
    • Genes
    • Expression
    • Neuron
    • Data
  • cell culture
    • Pipette
    • Type
    • Types
    • Recording
    • Neuronal
    • Seal
    • Neurons
    • Patch-seq
    • Genes
    • Expression
    • Neuron
    • Data
  • induced pluripotent stem cells (ipsc)
    • Data
    • Using
    • Well
    • Different
    • Imaging
    • Transcriptomic
    • Expression
    • Type
    • Quality
    • Neurons
    • Patch-seq
    • Classification
  • data quality
    • Transcriptomic
    • Morphological
    • Expression
    • Properties
    • Electrophysiological
    • Classification
    • Including
    • Cells
    • Patch-seq
    • Quality
    • Morphology
    • Neuronal
  • cell sorting
    • Pipette
    • Type
    • Types
    • Recording
    • Neuronal
    • Seal
    • Neurons
    • Patch-seq
    • Genes
    • Expression
    • Neuron
    • Data
  • downstream data analysis
    • Nucleus
    • Transcriptomic
    • Morphological
    • Expression
    • Properties
    • Reconstruction
    • Imaging
    • Electrophysiological
    • Classification
    • Including
    • Cells
    • Patch-seq
  • morphology
    • Properties
    • Transcriptomic
    • Well
    • Types
    • Patch-seq
    • Different
    • Reconstruction
    • Would
    • Technique
    • Expression
    • Neuron
    • Nucleus

Connections between topic areas Semantic bridges

For Patch-sequencing, one of the stronger structural bridges in this analysis connects Patch-sequencing with Patch-sequencing workflow. 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
Patch-sequencing — Patch-sequencing workflow · splits 50 ⟂ 14
Patch-sequencing — Background · splits 51 ⟂ 13
Patch-sequencing — Future directions · splits 53 ⟂ 11
Patch-sequencing — Downstream data analysis · splits 54 ⟂ 10
Patch-sequencing — Overview · splits 58 ⟂ 6
Patch-sequencing — Preparation and model system choice · splits 59 ⟂ 5

Map overview Semantic statistics

Patch-sequencing

Nodes64
Edges63
Triples24
Avg. degree1.97
Density0.03125
Components1

Source & methodology

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

Source: Wikipedia — Patch-sequencing · EN edition · Analysis: TopicsToTalkAbout

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