| Literature DB >> 30147644 |
Mark van den Hurk1, Jennifer A Erwin2,3, Gene W Yeo4,5, Fred H Gage6, Cedric Bardy1,7.
Abstract
The human brain is composed of a complex assembly of about 171 billion heterogeneous cellular units (86 billion neurons and 85 billion non-neuronal glia cells). A comprehensive description of brain cells is necessary to understand the nervous system in health and disease. Recently, advances in genomics have permitted the accurate analysis of the full transcriptome of single cells (scRNA-seq). We have built upon such technical progress to combine scRNA-seq with patch-clamping electrophysiological recording and morphological analysis of single human neurons in vitro. This new powerful method, referred to as Patch-seq, enables a thorough, multimodal profiling of neurons and permits us to expose the links between functional properties, morphology, and gene expression. Here, we present a detailed Patch-seq protocol for isolating single neurons from in vitro neuronal cultures. We have validated the Patch-seq whole-transcriptome profiling method with human neurons generated from embryonic and induced pluripotent stem cells (ESCs/iPSCs) derived from healthy subjects, but the procedure may be applied to any kind of cell type in vitro. Patch-seq may be used on neurons in vitro to profile cell types and states in depth to unravel the human molecular basis of neuronal diversity and investigate the cellular mechanisms underlying brain disorders.Entities:
Keywords: cellular phenotyping; electrophysiology; human neuron transcriptome; induced pluripotent stem cell (iPSC); neuronal diversity; patch clamping; patch-seq; single-cell RNA-seq
Year: 2018 PMID: 30147644 PMCID: PMC6096303 DOI: 10.3389/fnmol.2018.00261
Source DB: PubMed Journal: Front Mol Neurosci ISSN: 1662-5099 Impact factor: 5.639
FIGURE 4Natural variation in expression of housekeeping genes in single neurons. TaqMan quantitative real-time PCR was performed on SMARTer cDNA generated from n = 56 single human neurons successfully isolated for Patch-seq to profile the expression levels of ACTB and GAPDH housekeeping genes. ACTB and GAPDH were readily expressed though at variable levels from cell to cell as revealed by both qRT-PCR (A) and RNA-sequencing (B). (C) Single-neuron expression of ACTB and GAPDH housekeeping genes is highly correlated between qRT-PCR and RNA-sequencing measurements.
Comparison of Patch-seq methods for multimodal profiling of single neurons.
| Patch-seq | Patch-seq | Patch-seq | |
|---|---|---|---|
| Patch-seq-analyzed cell type(s) | |||
| Precautions against RNase | ✓ | ✓ | ? |
| Transcriptome sampling method | Entire neuron isolation including dendrites and axon | Aspiration of cell soma contents | Aspiration of cell soma contents |
| Analysis of transcripts from distal neurites | ✓ | χ | χ |
| Addition of RNase inhibitor to internal solution (to reduce RNase activity) | χ | ✓ | χ |
| Addition of EGTA to internal solution (to chelate divalent cations that are cofactors for RNase) | ✓ | ✓ | ✓ |
| Single-cell RNA reverse-transcribed and amplified immediately (<4 h) after collection | ✓ | ? | χ |
| scRNA-seq protocol | Smart-seq (SMARTer) | Smart-seq2 | STRT-C1 |