Method Article

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

DOI:

10.3791/55219

February 25th, 2017

In This Article

Summary

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We describe a method to sort single mammalian cells and to quantify the expression of up to 96 target genes of interest in each cell. This method includes the use of internal qPCR standards to enable the estimation of absolute transcript counts.

Abstract

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Gene expression measurements from bulk populations of cells can obscure the considerable transcriptomic variation of individual cells within those populations. Single-cell gene expression measurements can help assess the role of noise in gene expression, identify correlations in the expression of pairs of genes, and reveal subpopulations of cells that respond differently to a stimulus. Here, we describe a procedure to measure the expression of up to 96 genes in single mammalian cells isolated from a population growing in tissue culture. Cells are sorted into lysis buffer by fluorescence-activated cell sorting (FACS), and the mRNA species of interest are reverse-transcribed and amplified. Gene expression is then measured using a microfluidic real-time PCR machine, which performs up to 96 qPCR assays on up to 96 samples at a time. We also describe the generation and use of PCR amplicon standards to enable the estimation of the absolute number of each transcript. Compared with other methods of measuring gene expression in single cells, this approach allows for the quantification of more distinct transcripts than RNA FISH at a lower cost than RNA-Seq.

Introduction

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Individual cells in a population can show widely differing responses to a uniform physiological stimulus1,2,3,4. The genetic variation of cells in a population is one mechanism for this variety of responses, but there are also several non-genetic factors that can increase the variability of responses, even in a clonal population of cells. For example, the levels of individual proteins and other important signaling molecules can vary on a cell-by-cell basis, giving rise to variation in downstream gene expression profiles. Additionally, gene a....

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Protocol

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1. Advance Preparation

  1. Select up to 96 genes of interest whose expression will be measured.
    NOTE: At least one of these genes should be a "housekeeping gene," such as ACTB or GAPDH, that is known to be expressed at a relatively high and constant level under the conditions used in the experiment. This gene will be used to identify positively sorted wells (step 8.1) and amplified samples (step 10.1).
    NOTE: For the example experiment, well-characterized, direct targets of p53 with a variety of known functions11,14 and GAPDH as a housekeeping control were selected. Please see Reference 11 for....

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Results

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A general overview of the protocol is shown in Figure 1, including steps for cell treatment, the isolation of single cells by FACS, the generation and pre-amplification of cDNA libraries from single-cell lysates, the confirmation of single-cell cDNA libraries in sorted wells, and the measurement of gene expression by qPCR.

In preparation for single-cell isolation and gene expression analysis, it is necessary to .......

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Discussion

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We have presented a method for isolating individual mammalian cells from a population of adherent cells grown in culture and for assaying the expression of approximately 96 genes in each cell. Good advance preparation is critical for this method to work well. In particular, designing and testing primer pairs specific to the transcripts of interest (steps 1.2-1.3) are time-consuming but important steps, as the primers determine the quality of the single-cell measurements. Once reliable primer pairs have been obtained, the.......

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Disclosures

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The authors have nothing to disclose.

Acknowledgements

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We would like to thank V. Kapoor in the CCR ETIB Flow Cytometry Core for her aid in performing the cell sorting during the development of this protocol. We also thank M. Raffeld and the CCR LP Molecular Diagnostics Unit and J. Zhu and the NHLBI DNA Sequencing and Genomics Core for their aid in performing the qPCR during the development of this protocol. This research was supported by the Intramural Program of the NIH.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
RNeasy Plus Mini KitQiagen74134
High Capacity cDNA Reverse Transcription Kit with RNase InhibitorThermoFisher4374966
Phusion High-Fidelity DNA PolymeraseNew England BioLabsM0530S
QIAquick Gel Extraction KitQiagen28704
Quant-iT High-Sensitivity dsDNA Assay KitThermoFisherQ33120 
2.0 ml low adhesion microcentrifuge tubesUSA Scientific1420-2600
DNA Suspension BufferTeknovaT0221
Axygen 0.2 ml Maxymum Recovery Thin Wall PCR TubesCorningPCR-02-L-C
GE 96.96 Dynamic Array DNA Binding Dye Sample & Assay Loading Reagent KitFluidigm100-3415
HyClone RPMI 1640 mediaGE Healthcare Life SciencesSH30027.01
Fetal Bovine Serum, Certified (US)ThermoFisher16000-044
Antibiotic-Antimycotic SolutionCorning30-004-CI
NeocarzinostatinSigmaN9162
ELIMINaseDecon Labs1101
SUPERase-InThermoFisherAM2696
CellsDirect One-Step qRT-PCR KitThermoFisher11753500
E. coli DNAAffymetrix14380 10 MG
ThermalSeal Sealing Film, SterileExcel ScientificSTR-THER-PLT
BD FACSAria IIuBD Biosciences
HyClone Trypsin 0.05%GE Healthcare Life SciencesSH30236.01
PBS, 1xCorning21-040-CV
Falcon 40 µm Cell StrainerCorning352340
Exonuclease INew England BioLabsM0293S
SsoFast EvaGreen Supermix with Low ROXBio-Rad172-5210
96.96 Dynamic Array IFC for Gene Expression (microfluidic qPCR chip)FluidigmBMK-M-96.96
IFC Controller HX (loading machine)Fluidigm
BioMark or BioMark HD (microfluidic qPCR machine)Fluidigm
Real-Time PCR Analysis software Fluidigm
MATLAB softwareMathWorks

References

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  1. Feinerman, O., Veiga, J., Dorfman, J. R., Germain, R. N., Altan-Bonnet, G. Variability and Robustness in T Cell Activation from Regulated Heterogeneity in Protein Levels. Science. 321 (5892), 1081-1084 (2008).
  2. Spencer, S. L., Gaudet, S., Albeck, J. G., Burke, J. M., Sorger, P. K.

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Tags

FACS SortingMicrofluidic qPCRAbsolute QuantificationCell Lysis BufferSerial DilutionRT STA ProgramExonuclease I TreatmentData Analysis Protocol

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