Single-Cell Sequencing

Sequencing methods that measure genetic or transcriptomic information from individual cells to reveal hidden biological variation.

Core metadata

ID: single_cell_sequencing
Era: Modern
First known date: 2009 (year)
Region: Cambridge, United Kingdom / single-cell mRNA-seq
Review status: source_checked
Maturity: N/A

Prerequisites

Dependents

None.

Fields

None.

Node sources

mRNA-Seq whole-transcriptome analysis of a single cell (Nature Methods, 2009, primary_paper) • Supports: node
mRNA-Seq whole-transcriptome analysis of a single cell (PubMed, 2009, official_agency) • Supports: node

Prerequisite edge evidence

Edge/source evidence summary:

Prerequisite edges: 3
Average edge confidence: 68%
Prerequisite sources: 2
expert_inference: 3

Prerequisite	Type	Confidence	Evidence level	Note	Sources
DNA Sequencing (dna_sequencing)	enabling	68%	expert_inference	DNA Sequencing provides a capability that enables this technology without being the only possible path.	DNA sequencing with chain-terminating inhibitors (Proceedings of the National Academy of Sciences / PubMed, 1977, primary_paper) • Supports: edge
Bioinformatics (bioinformatics)	enabling	68%	expert_inference	Bioinformatics provides a capability that enables this technology without being the only possible path.	Bioinformatics (National Human Genome Research Institute, 2026, official_agency) • Supports: edge
Microfluidics (microfluidics)	enabling	68%	expert_inference	Microfluidics provides a capability that enables this technology without being the only possible path.	No sources recorded.

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