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Method Article
This protocol explains how to collect single neurons, microglia, and astrocytes from the central nucleus of the amygdala with high accuracy and anatomic specificity using laser capture microdissection. Additionally, we explain our use of microfluidic RT-qPCR to measure a subset of the transcriptome of these cells.
Profound transcriptional heterogeneity in anatomically adjacent single cells suggests that robust tissue functionality may be achieved by cellular phenotype diversity. Single-cell experiments investigating the network dynamics of biological systems demonstrate cellular and tissue responses to various conditions at biologically meaningful resolution. Herein, we explain our methods for gathering single cells from anatomically specific locations and accurately measuring a subset of their gene expression profiles. We combine laser capture microdissection (LCM) with microfluidic reverse transcription quantitative polymerase chain reactions (RT-qPCR). We also use this microfluidic RT-qPCR platform to measure the microbial abundance of gut contents.
Measuring the gene expression profiles of single cells has demonstrated extensive phenotypic heterogeneity within a tissue. This complexity has complicated our understanding of the biological networks that govern tissue function. Our group and others have explored this phenomenon in many tissues and conditions1,2,3,4,5,6. These experiments not only suggest that regulation of gene expression networks underlie such heterogeneity, but also that single-cell resolution reveals a complexity in tissue function that tissue-level resolution fails to appreciate. Indeed, merely a small minority of cells may respond to a specific condition or challenge, but the impact of those cells on overall physiology may be substantial. Additionally, a system biology approach that applies multivariate methods to high dimensional datasets from multiple cell types and tissues can elucidate system-wide treatment effects.
We combine LCM and microfluidic RT-qPCR to obtain such datasets. We take this approach here in contrast to gathering single cells via fluorescence-activated cell sorting (FACS) and using RNA sequencing (RNA-seq) to measure their transcriptome. The advantage of LCM over FACS is that the exact anatomic specificity of single cells can be documented with LCM, relatively and absolutely. Further, while RNA-seq can measure more features that RT-qPCR, microfluidic RT-qPCR is less expensive and has a higher sensitivity and specificity7.
In this representative experiment, we investigated the effects of opioid dependence and naltrexone-precipitated opioid withdrawal on rat neuronal, microglia, and astrocyte gene expression in the central nucleus of the amygdala (CeA) and gut microflora abundance4. Four treatment groups were analyzed: 1) Placebo, 2) Morphine, 3) Naltrexone, and 4) Withdrawal (Figure 1). We found that opioid dependence did not substantially alter gene expression, but that opioid withdrawal induced the expression of inflammatory genes, Tnf in particular. Astrocytes were the most affected cell type. The gut microbiome was profoundly impacted by opioid withdrawal as indicated by a decrease in the Firmicutes to Bacteroides ratio, which is an established marker of gut dysbiosis8,9.
This study was carried out in accordance with the recommendations of Animal Care and Use Committee (IACUC) of Thomas Jefferson University and Drexel University College of Medicine. The protocol was approved by the Thomas Jefferson University and Drexel University College of Medicine IACUC.
1. Animal model
2. Sample harvesting
3. Slicing
4. Immunofluorescence staining
5. Ethanol and xylene dehydration series
6. Laser capture microdissection
7. Single-cell microfluidic RT-qPCR
8. Measuring the bacterial abundance with microfluidic RT-qPCR
The selection of the single cells was validated both visually and molecularly. Visually, cellular morphology was viewed before cell collection. Cells collected were then viewed at the QC station and the cellular nuclei stain (DAPI) overlapped with the single cell selection marker fluorescence. Figure 2A shows representative images of a slide with hemisected rat forebrain containing the CeA. Subsequent images (Figure 2
Single-cell biology has demonstrated the heterogeneity of cellular phenotypes and robustness of tissue function. These findings have provided insight into the organization of biological systems at both macro and micro scales. Here, we describe the combination of two methods, LCM and microfluidic qPCR, to obtain single-cell transcriptome measures that provide anatomic specificity and transcriptional accuracy at a relatively low cost (Figure 1). Our group takes a systems biology approach and o...
The authors declare that they have no competing financial interests.
The work presented here was funded through NIH HLB U01 HL133360 awarded to JS and RV, NIDA R21 DA036372 awarded to JS and EVB, and T32 AA-007463 awarded to Jan Hoek in support of SJO'S.
Name | Company | Catalog Number | Comments |
20X DNA Binding Dye | Fluidigm | 100-7609 | NA |
2x GE Assay Loading Reagent | Fluidigm | 85000802-R | NA |
48.48 Dynamic Array IFC for Gene Expression | Fluidigm | BMK-M-48.48 | NA |
96.96 Dynamic Array IFC for Gene Expression | Fluidigm | BMK-M-96.96 | NA |
Anti-Cd11β Antibody | Genway Biotech | CCEC48 | Microglia Stain |
Anti-NeuN Antibody, clone A60 | EMD Millipore | MAB377 | Neuronal Stain |
ArcturusXT Laser Capture Microdissection System | Arcturus | NA | NA |
Biomark HD | Fluidigm | NA | RT-qPCR platform |
Bovine Serum Antigen | Sigma-Aldrich | B4287 | |
CapSure Macro LCM Caps | ThermoFisher Scientific | LCM0211 | NA |
CellDirect One-Step qRT-PCR Kit | ThermoFisher Scientific | 11753500 | Lysis buffer solution components |
DAPI | ThermoFisher Scientific | 62248 | Nucleus Stain |
DNA Suspension Buffer | TEKnova | T0221 | |
Exonuclease I | New Englnad BioLabs, Inc. | M0293S | NA |
ExtracSure Sample Extraction Device | ThermoFisher Scientific | LCM0208 | NA |
Fisherbrand Superfrost Plus Microscope Slides | ThermoFisher Scientific | 22-037-246 | Plain glass slides |
GeneAmp Thin-Walled Reaction Tube | ThermoFisher Scientific | N8010611 | |
GFAP Monoclonal Antibody | ThermoFisher Scientific | A-21294 | Astrocyte Stain |
Goat anti-Mouse IgG (H+L), Superclonal™ Recombinant Secondary Antibody, Alexa Fluor 488 | ThermoFisher Scientific | A28175 | Seconadry Antibody |
IFC Controller | Fluidigm | NA | NA |
RNaseOut | ThermoFisher Scientific | 10777019 | |
SsoFast EvaGreen Supermix with Low Rox | Bio-Rad | PN 172-5211 | Rox master mix |
SuperScript VILO cDNA Synthesis Kit | ThermoFisher Scientific | 11754250 | Contains VILO and SuperScript |
T4 Gene 32 Protein | New Englnad BioLabs, Inc. | M0300S | NA |
TaqMan PreAmp Master Mix | ThermoFisher Scientific | 4391128 | NA |
TE Buffer | TEKnova | T0225 | NA |
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