Method Article

Investigating Drivers of Antireward in Addiction Behavior with Anatomically Specific Single-Cell Gene Expression Methods

DOI:

10.3791/64014

⸱

August 4th, 2022

In This Article

Summary

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The combination of laser capture microdissection and microfluidic RT-qPCR provides anatomic and biotechnical specificity in measuring the transcriptome in single neurons and glia. Applying creative methods with a system's biology approach to psychiatric disease may lead to breakthroughs in understanding and treatment such as the neuroinflammation antireward hypothesis in addiction.

Abstract

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Increasing rates of addiction behavior have motivated mental health researchers and clinicians alike to understand antireward and recovery. This shift away from reward and commencement necessitates novel perspectives, paradigms, and hypotheses along with an expansion of the methods applied to investigate addiction. Here, we provide an example: A systems biology approach to investigate antireward that combines laser capture microdissection (LCM) and high-throughput microfluidic reverse transcription quantitative polymerase chain reactions (RT-qPCR). Gene expression network dynamics were measured and a key driver of neurovisceral dysregulation in alcohol and opioid withdrawal, neuroinflammation, was identified. This combination of technologies provides anatomic and phenotypic specificity at single-cell resolution with high-throughput sensitivity and specific gene expression measures yielding both hypothesis-generating datasets and mechanistic possibilities that generate opportunities for novel insights and treatments.

Introduction

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Addiction remains a growing challenge in the developed world1,2. Despite major scientific and clinical advances, rates of addiction continue to increase while the efficacy of established treatments remains stable at best3,4,5. However, advances in biotechnology and scientific approaches have led to novel methods and hypotheses to further investigate the pathophysiology of substance dependence6,7,8. Indeed, recent developments....

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Protocol

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This study was carried out in accordance with the recommendations of Animal Care and Use Committee (IACUC) of Thomas Jefferson University. The protocol was approved by Thomas Jefferson University IACUC.

1. Animal model

  1. House male Sprague Dawley (>120 g, Harlan, Indianapolis, IN, USA) rat triplets individually with free access to ethanol-chow (2 rats) or control-chow mixture (1 rat).
    NOTE: This representative experiment employed the Lieber-DeCarli protocol to study the neurobiology of alcohol withdrawal25,26. Rat triplets consist of a three-rat....

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Results

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Validation of single-cell collection is performed visually during LCM procedures. Cell nuclei are assessed at the QC station. The cell type can be determined by emission of tagged fluorophore for that cell type and its general morphology. If non-desired cells have been selected on the cap, their genetic material can be destroyed with a UV laser at the QC station. Further validation by molecular analysis is also necessary. In this representative example16, two types of neurons were selected-tyrosin.......

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Discussion

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Alcohol use disorder remains a challenging disease to treat. Our group has approached this disorder by investigating antireward processes with a systems neuroscience perspective. We measured gene expression changes in single NTS neurons and microglia in an alcohol withdrawal time series16. The NTS was chosen for its prominent role in the autonomic dysregulation that occurs in alcohol withdrawal syndrome. We combine LCM with single-cell microfluidic RT-qPCR allowing for robust numbers of samples an.......

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Disclosures

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The authors declare that they have no competing financial interests.

Acknowledgements

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The work presented here was funded through NIH HLB U01 HL133360 awarded to JS and RV, NIDA R21 DA036372 awarded to JS and EVB, T32 AA-007463 awarded to Jan Hoek in support of SJO'S, and National Institute of Alcoholism and Alcohol Abuse: R01 AA018873.

....

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
20X DNA Binding DyeFluidigm100-7609NA
2x GE Assay Loading ReagentFluidigm85000802-RNA
96.96 Dynamic Array IFC for Gene Expression (referred to as qPCR chip in text)FluidigmBMK-M-96.96NA
Anti-Cd11β AntibodyGenway BiotechCCEC48Microglia Stain
Anti-NeuN Antibody, clone A60EMD MilliporeMAB377Neuronal Stain
Anti-tyrosine hydroxylase antibodyabcamab112Stain for TH+ neurons
ArcturusXT Laser Capture Microdissection SystemArcturusNANA
Biomark HDFluidigmNART-qPCR platform
Bovine Serum AntigenSigma-AldrichB4287
CapSure Macro LCM CapsThermoFisher Scientific LCM0211NA
CellDirect One-Step qRT-PCR KitThermoFisher Scientific11753500Lysis buffer solution components
CellsDirect Resuspension & Lysis Buffer KitThermoFisher Scientific11739010Invitrogen
DAPIThermoFisher Scientific62248Nucleus Stain
DNA Suspension BufferTEKnovaT0221
Donkey anti-Rabbit IgG (H+L) ReadyProbe Secondary Antibody, Donkey anti-Rabbit IgG (H+L) ReadyProbe Secondary Antibody, Alexa Fluor 488ThermoFisher ScientificR37118Seconadry Antibody
Exonuclease INew Englnad BioLabs, Inc.M0293SNA
ExtracSure Sample Extraction DeviceThermoFisher ScientificLCM0208NA
FisherbrandTM Superfrost Plus Microscope SlidesThermoFisher Scientific22-037-246Plain glass slides
GeneAmp Thin-Walled Reaction TubeThermoFisher ScientificN8010611
Goat anti-Mouse IgG (H+L), Superclona Recombinant Secondary Antibody, Alexa Fluor 555ThermoFisher ScientificA28180Seconadry Antibody
IFC ControllerFluidigmNANA
RNaseOutThermoFisher Scientific10777019
SsoFast EvaGreen Supermix with Low RoxBio-RadPN 172-5211NA
SuperScript VILO cDNA Synthesis KitThermoFisher Scientific11754250Contains VILO and SuperScript
T4 Gene 32 ProteinNew Englnad BioLabs, Inc.M0300SNA
TaqMan PreAmp Master MixThermoFisher Scientific4391128NA
TE BufferTEKnovaT0225NA
TempPlate Semi-Skirted 96-Well PCR Plate, 0.2 mLUSA Scientific1402-9700NA

References

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  1. Substance Use and Mental Health Indicators in the United States: Results from the 2019 National Survey on Drug Use and Health. , Available from: https://www.samhsa.gov/data/ (2020).
  2. Prevalence of Serious Mental Illness (SMI). NIH. 49, Available from: https://www.nimh.nih.gov/health/statistics/mental-illness.shtml (2020).
  3. Mattick, R. P., Kimber, J., Breen, C., Davoli, M. Buprenorphine maintenance versus placebo or methadone maintenance for opioid dependence.

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Tags

Single Cell Gene ExpressionAntireward MechanismsAddiction BehaviorLaser Capture MicrodissectionMicrofluidic RT qPCRGene Expression NetworksNeuroinflammationNeuronal SubtypesHousekeeping Gene NormalizationGene Correlation Network

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