Evidence map›Paper›PMID 28621310›Full record

ArticleNature communications2017

Single-cell profiling reveals heterogeneity and functional patterning of GPCR expression in the vascular system.

H Kaur, J Carvalho, M Looso, P Singh, R Chennupati, J Preussner, S Günther, J Albarrán-Juárez, D Tischner, S Classen and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
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

60 citing papers in PubMed, 100 citations in OpenAlex.

  1. Review
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  7. Electrocalcium coupling in brain capillaries: Rapidly traveling electrical signals ignite local calcium signals.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Single-Cell RNA-Seq Reveals Coronary Heterogeneity and Identifies CD133Arteriosclerosis, thrombosis, and vascular biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Multiple Subthreshold GPCR Signals Combined by the G-Proteins GαThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  14. Vascular mechanotransduction.Physiological reviews · 2023
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Role of G-protein coupled receptors in cardiovascular diseases.Frontiers in cardiovascular medicine · 2023
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

H KaurDepartment of Pharmacology, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
J CarvalhoDepartment of Pharmacology, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
M LoosoECCPS Bioinformatics Facility, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
P SinghDepartment of Pharmacology, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
R ChennupatiDepartment of Pharmacology, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
J PreussnerECCPS Bioinformatics Facility, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
S GüntherECCPS Deep sequencing platform, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
J Albarrán-JuárezDepartment of Pharmacology, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
D TischnerDepartment of Pharmacology, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
S ClassenHarvey Vascular Centre, Kerckhoff-Klinik, Benekestraße 2-8, 61231 Bad Nauheim, Germany.ORCID 0000-0002-3524-2080
S OffermannsDepartment of Pharmacology, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
N WettschureckDepartment of Pharmacology, Max Planck Institute for Heart and Lung Research, Ludwigstr 43, 61231 Bad Nauheim, Germany.
Max Planck Institute for Heart and Lung Research · DEGoethe University Frankfurt · DEKerckhoff Klinik · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G-protein-coupled receptor (GPCR) expression is extensively studied in bulk cDNA, but heterogeneity and functional patterning of GPCR expression in individual vascular cells is poorly understood. Here, we perform a microfluidic-based single-cell GPCR expression analysis in primary smooth muscle cells (SMC) and endothelial cells (EC). GPCR expression is highly heterogeneous in all cell types, which is confirmed in reporter mice, on the protein level and in human cells. Inflammatory activation in murine models of sepsis or atherosclerosis results in characteristic changes in the GPCR repertoire, and we identify functionally relevant subgroups of cells that are characterized by specific GPCR patterns. We further show that dedifferentiating SMC upregulate GPCRs such as Gpr39, Gprc5b, Gprc5c or Gpr124, and that selective targeting of Gprc5b modulates their differentiation state. Taken together, single-cell profiling identifies receptors expressed on pathologically relevant subpopulations and provides a basis for the development of new therapeutic strategies in vascular diseases.

Indexed as

Cell DifferentiationInflammationAnimalsAortaAtherosclerosisCluster AnalysisExonsGreen Fluorescent ProteinsHumansLigandsMiceMice, Inbred C57BLMyocytes, Smooth MuscleReal-Time Polymerase Chain ReactionReceptors, G-Protein-CoupledSepsisGreen Fluorescent ProteinsLigandsReceptors, G-Protein-Coupled

Identifiers

PMID28621310
PMCPMC5481776
OpenAlexW2625034005

What OpenQuestion holds

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LicenceCC BY
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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.