Evidence map›Paper›PMID 30374154›Full record

ArticleScientific reports2018

Development and validation of an in vitro model system to study peripheral sensory neuron development and injury.

Iwan Jones, Tushar Devanand Yelhekar, Rebecca Wiberg, Paul J Kingham, Staffan Johansson, Mikael Wiberg, Leif Carlsson

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Glial cells in neuropathic pain.Physiological reviews · 2026
    Review
  2. Article
  3. Temporal Transcriptional Regulation of Human Neuronal Differentiation via Forward Programming.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Decoding Pain: Next-Generation In Vitro Systems for Mechanistic Insights and Drug Discovery.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Review
  6. In Vitro Models for Peripheral Nerve Regeneration.Advanced healthcare materials · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Global analyses of mRNA expression in human sensory neurons reveal eIF5A as a conserved target for inflammatory pain.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Article
  13. Article
  14. Review
  15. Review
  16. Studying human nociceptors: from fundamentals to clinic.Brain : a journal of neurology · 2021
    Review
  17. The Form and Function of PIEZO2.Annual review of biochemistry · 2021
    Review
  18. Article
  19. Article
  20. Review
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

7 authors.

Iwan JonesUmeå Center for Molecular Medicine (UCMM), Umeå University, Umeå, Sweden.
Tushar Devanand YelhekarLaboratory of Ion Channels and Neuronal Signaling, Department of Integrative Medical Biology (IMB), Umeå University, Umeå, Sweden.
Rebecca WibergLaboratory of Neural Repair and Cellular Therapy, Department of Integrative Medical Biology (IMB), Umeå University, Umeå, Sweden.
Paul J KinghamLaboratory of Neural Repair and Cellular Therapy, Department of Integrative Medical Biology (IMB), Umeå University, Umeå, Sweden.ORCID http://orcid.org/0000-0003-2596-5936
Staffan JohanssonLaboratory of Ion Channels and Neuronal Signaling, Department of Integrative Medical Biology (IMB), Umeå University, Umeå, Sweden.ORCID http://orcid.org/0000-0003-1022-5097
Mikael WibergLaboratory of Neural Repair and Cellular Therapy, Department of Integrative Medical Biology (IMB), Umeå University, Umeå, Sweden.
Leif CarlssonUmeå Center for Molecular Medicine (UCMM), Umeå University, Umeå, Sweden. leif.carlsson@umu.se.

Funding

Vetenskapsrådet (Swedish Research Council) #22292
6 · The paper itself

Abstract

The ability to discriminate between diverse types of sensation is mediated by heterogeneous populations of peripheral sensory neurons. Human peripheral sensory neurons are inaccessible for research and efforts to study their development and disease have been hampered by the availability of relevant model systems. The in vitro differentiation of peripheral sensory neurons from human embryonic stem cells therefore provides an attractive alternative since an unlimited source of biological material can be generated for studies that specifically address development and injury. The work presented in this study describes the derivation of peripheral sensory neurons from human embryonic stem cells using small molecule inhibitors. The differentiated neurons express canonical- and modality-specific peripheral sensory neuron markers with subsets exhibiting functional properties of human nociceptive neurons that include tetrodotoxin-resistant sodium currents and repetitive action potentials. Moreover, the derived cells associate with human donor Schwann cells and can be used as a model system to investigate the molecular mechanisms underlying neuronal death following peripheral nerve injury. The quick and efficient derivation of genetically diverse peripheral sensory neurons from human embryonic stem cells offers unlimited access to these specialised cell types and provides an invaluable in vitro model system for future studies.

Indexed as

Models, BiologicalAction PotentialsCell DifferentiationCoculture TechniquesHuman Embryonic Stem CellsHumansNociceptorsPeripheral Nerve InjuriesReceptor, Nerve Growth FactorReceptor, trkASchwann CellsSensory Receptor CellsSmall Molecule LibrariesReceptor, Nerve Growth FactorReceptor, trkASmall Molecule Libraries

Identifiers

PMID30374154
PMCPMC6206093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.