Single-cell transcriptomics

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Experimental steps

Lysate Reverse transcription Micropipetting Laser capture microdissection Fluorescence Activated Cell Sorting

34 related topics

Data analysis

Gene regulatory networks Stochastic Clustering Biclustering K-means clustering

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Overview

Transcriptomes Cells Heterogeneous Cellular developmental Neurology

30 related topics

Background

RNA sequencing Microarrays Transcripts Northern blots Quantitative PCR

9 related topics

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Map overview Semantic statistics

Nodes103

Edges102

Triples46

Avg. degree1.98

Density0.019417

Components1

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Single-cell transcriptomics

Top relations

related to Integration · 10

Single-cell transcriptomics → An, Another, As, Cell-cell Communication, Consequently, Laleh Haghverdi, Mutual, The, This, With

related to External links · 4

Single-cell transcriptomics → Dissecting Tumor Heterogeneity, RNA, Single Cell Discoveries, Single-Cell TranscriptomicsThe

Important terminology Word statistics

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Important terminology

cell cells single-cell data expression gene used analysis genes single methods cdna clustering transcriptomics pcr rna-seq scrna-seq rna individual sequencing

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
those developed by 10x Genomics.Single cell RNA-seq techniques that rely on split-pool barcoding can uniquely label cells without requiring the isolation of individual cells	instance of	the integration of microfluidic devices with scRNA-seq has been highly optimized in protocols	0.80	text
including sci-RNA-seq	instance of	the integration of microfluidic devices with scRNA-seq has been highly optimized in protocols	0.80	text
SPLiT-seq	instance of	the integration of microfluidic devices with scRNA-seq has been highly optimized in protocols	0.80	text
and microSPLiT.Quantitative PCR	instance of	the integration of microfluidic devices with scRNA-seq has been highly optimized in protocols	0.80	text
10x Genomics Chromium	instance of	In droplet-based technologies	0.80	text
single cells are isolated in droplets together with beads coated with barcoded oligonucleotides	instance of	In droplet-based technologies	0.80	text
axons	instance of	of total RNA is not sequenced by scRNA-seq due to the prevalence of local transcriptomes in cellular processes	0.80	text
dendrites	instance of	of total RNA is not sequenced by scRNA-seq due to the prevalence of local transcriptomes in cellular processes	0.80	text
myelin	instance of	of total RNA is not sequenced by scRNA-seq due to the prevalence of local transcriptomes in cellular processes	0.80	text
and endfeet	instance of	of total RNA is not sequenced by scRNA-seq due to the prevalence of local transcriptomes in cellular processes	0.80	text
and microSPLiT	instance of	the integration of microfluidic devices with scRNA-seq has been highly optimized in protocols	0.80	text
Principal component analysis	instance of	similarly behaving genes that differentiate one cell cluster from another can be identified using this method.Dimensionality reductionDimensionality reduction algorithms	0.80	text

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Single-cell transcriptomics

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Single-cell transcriptomics

Top relations

Important terminology Word statistics

Important terminology

Entity relationships Subject–Predicate–Object triples

Related concept clusters Concept neighborhoods

Connections between topic areas Semantic bridges