Proceedings of the National Academy of Sciences · 2015 · 1.6K citations · 24 references
Life SciencesNeurobiologyNeuroscienceCell DifferentiationCellular NeuroscienceTranscriptomicsCell-type-specific TranscriptomicsNeuronal Cell TypesNeuronal DifferentiationSingle-cell AnalysisSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsCell Type DiversityCell Type ResolutionNeuronal Cell Type TranscriptomicsNeuronal TranscriptomicsSingle-cell Transcriptomics In NeuroscienceTranscriptome AnalysisTranscriptomics Of Neural TissueWhole Transcriptome Analysis
The brain contains an immense number of cells and cellular connections. The study presents the first single‑cell whole‑transcriptome analysis of human adult cortical samples. The authors used a single‑cell transcriptomic approach to identify all major brain cell types and characterize neuronal subtypes. The analysis revealed all major brain cell types, delineated neuronal subtypes, showed developmental stage changes in neurons, and identified a subset of adult neurons expressing MHC class I genes, indicating they are not immune privileged.
Significance The brain comprises an immense number of cells and cellular connections. We describe the first, to our knowledge, single cell whole transcriptome analysis of human adult cortical samples. We have established an experimental and analytical framework with which the complexity of the human brain can be dissected on the single cell level. Using this approach, we were able to identify all major cell types of the brain and characterize subtypes of neuronal cells. We observed changes in neurons from early developmental to late differentiated stages in the adult. We found a subset of adult neurons which express major histocompatibility complex class I genes and thus are not immune privileged.
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Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Amit Zeisel, Ana B. Muñoz‐Manchado, Simone Codeluppi et al. · Science · 2015 · 3.4K citations · Full text
Quantitative single-cell RNA-seq with unique molecular identifiers
Saiful Islam, Amit Zeisel, Simon Joost et al. · Nature Methods · 2013 · 1.3K citations · Full text