Evidence map›Paper›PMID 32101709›Full record

ReviewTrends in neurosciences2020

Classification of Midbrain Dopamine Neurons Using Single-Cell Gene Expression Profiling Approaches.

Jean-Francois Poulin, Zachary Gaertner, Oscar Andrés Moreno-Ramos, Rajeshwar Awatramani

Abstract readReview
In one paragraph

Review in Trends in neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

136 citing papers in PubMed.

  1. Review
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  10. KChIP4a is a Biophysical Amplifier of Inhibition in Atypical Dopamine Neurons and Controls Learning from Negative Prediction Errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  11. GluDs are ionotropic dopamine receptors tuned by G-proteins.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. VGLUT2 in Parkinson's disease: an emerging therapeutic target.Expert opinion on therapeutic targets · 2026
    Review
  14. A brief history of dopamine prediction errors.Frontiers in computational neuroscience · 2026
    Review
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Review

76 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jean-Francois PoulinDepartment of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
Zachary GaertnerDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Oscar Andrés Moreno-RamosDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Rajeshwar AwatramaniDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address: r-awatramani@northwestern.edu.

Funding

Rodent Behavior CoreP50DA044121 · NIDA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI APKARIAN, APKAR VANIA · 2018 to 2022
$9.0M
Training Program in Neurobiology of Information StorageT32MH067564 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniel A Dombeck · 2003 to 2026
$4.7M
Molecular, anatomic, and functional characterization of midbrain dopamine neuron subtypesR01MH110556 · NIMH · NORTHWESTERN UNIVERSITY · PI AWATRAMANI, RAJESHWAR B, DOMBECK, DANIEL A · 2017 to 2021
$3.5M
Rational derivation of DA neuron subtypes from iPS cells for improved modelling of Parkinson's diseaseR01NS096240 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AWATRAMANI, RAJESHWAR B, KRAINC, DIMITRI · 2016 to 2020
$3.0M
NIDA NIH HHS P50 DA044121NIMH NIH HHS R01 MH110556NIMH NIH HHS T32 MH067564NINDS NIH HHS R01 NS096240
6 · The paper itself

Abstract

Dysfunctional dopamine (DA) signaling has been associated with a broad spectrum of neuropsychiatric disorders, prompting investigations into how midbrain DA neuron heterogeneity may underpin this variety of behavioral symptoms. Emerging literature indeed points to functional heterogeneity even within anatomically defined DA clusters. Recognizing the need for a systematic classification scheme, several groups have used single-cell profiling to catalog DA neurons based on their gene expression profiles. We aim here not only to synthesize points of congruence but also to highlight key differences between the molecular classification schemes derived from these studies. In doing so, we hope to provide a common framework that will facilitate investigations into the functions of DA neuron subtypes in the healthy and diseased brain.

Indexed as

Dopaminergic NeuronsMesencephalonBrainDopamineGene Expression ProfilingDopaminecell typedopaminergic systemintersectionalmolecular diversityneuroanatomysingle-cell RNA-seq

Identifiers

PMID32101709
PMCPMC7285906

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.