Evidence map›Paper›PMID 32379225›Full record

ArticlePain2020

Assigning transcriptomic class in the trigeminal ganglion using multiplex in situ hybridization and machine learning.

Lars J von Buchholtz, Ruby M Lam, Joshua J Emrick, Alexander T Chesler, Nicholas J P Ryba

Open access · greenAbstract read
In one paragraph

Article in Pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  5. Nerve Types and Classification of Neurons Innervating Oral Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  10. The anatomy, neurophysiology, and cellular mechanisms of intradental sensation.Frontiers in pain research (Lausanne, Switzerland) · 2024
    Review
  11. Article
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  13. Meningeal Mechanisms and the Migraine Connection.Annual review of neuroscience · 2023
    Review
  14. Article
  15. Article
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  17. Article
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  19. Article
  20. Article
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

5 authors at 2 institutions in 1 country.

Lars J von BuchholtzNational Institute of Dental and Craniofacial Research, Bethesda, MD, United States.
Ruby M LamNational Center for Integrative and Complementary Health, Bethesda, MD, United States.
Joshua J EmrickNational Institute of Dental and Craniofacial Research, Bethesda, MD, United States.
Alexander T CheslerNational Center for Integrative and Complementary Health, Bethesda, MD, United States.
Nicholas J P RybaNational Institute of Dental and Craniofacial Research, Bethesda, MD, United States.
National Institute of Dental and Craniofacial Research · USNational Center for Complementary and Integrative Health · US

Funding

Taste And SmellZIADE000561 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI RYBA, NICHOLAS J · 2009 to 2025
$26.2M
Studies on the molecular, cells, and circuit that underlie somatosensation and painZIAAT000028 · NCCIH · NATIONAL CENTER FOR COMPLEMENTARY & INTEGRATIVE HEALTH · PI CHESLER, ALEXANDER · 2014 to 2025
$12.0M
NIDCR DIR Clinical TrainingZIEDE000727 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI MAYS, JACQUELINE · 2009 to 2025
$6.8M
Intramural NIH HHS ZIA DE000561
6 · The paper itself

Abstract

abstractSingle cell sequencing has provided unprecedented information about the transcriptomic diversity of somatosensory systems. Here, we describe a simple and versatile in situ hybridization (ISH)-based approach for mapping this information back to the tissue. We illustrate the power of this approach by demonstrating that ISH localization with just 8 probes is sufficient to distinguish all major classes of neurons in sections of the trigeminal ganglion. To further simplify the approach and make transcriptomic class assignment and cell segmentation automatic, we developed a machine learning approach for analyzing images from multiprobe ISH experiments. We demonstrate the power of in situ class assignment by examining the expression patterns of voltage-gated sodium channels that play roles in distinct somatosensory processes and pain. Specifically, this analysis resolves intrinsic problems with single cell sequencing related to the sparseness of data leading to ambiguity about gene expression patterns. We also used the multiplex in situ approach to study the projection fields of the different neuronal classes. Our results demonstrate that the surface of the eye and meninges are targeted by broad arrays of neural classes despite their very different sensory properties but exhibit idiotypic patterns of innervation at a quantitative level. Very surprisingly, itch-related neurons extensively innervated the meninges, indicating that these transcriptomic cell classes are not simply labeled lines for triggering itch. Together, these results substantiate the importance of a sensory neuron's peripheral and central connections as well as its transcriptomic class in determining its role in sensation.

Indexed as

TranscriptomeTrigeminal GanglionIn Situ HybridizationMachine LearningNeurons

Identifiers

PMID32379225
PMCPMC7606614
OpenAlexW3023002781

What OpenQuestion holds

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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.