Evidence map›Paper›PMID 36452863›Full record

ArticleCell reports methods2022

Derivation of nociceptive sensory neurons from hiPSCs with early patterning and temporally controlled

William Plumbly, Nikolaos Patikas, Sarah F Field, Stefanie Foskolou, Emmanouil Metzakopian

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. GABAJournal of neurochemistry · 2025
    Article
  6. Article
  7. The pain target NaPflugers Archiv : European journal of physiology · 2024
    Article
  8. 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 1 institution in 1 country.

William PlumblyUK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK.
Nikolaos PatikasUK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK.
Sarah F FieldUK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK.
Stefanie FoskolouUK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK.
Emmanouil MetzakopianUK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK.
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite development of protocols to differentiate human pluripotent stem cells (hPSCs), those used to produce sensory neurons remain difficult to replicate and result in heterogenous populations. There is a growing clinical burden of chronic pain conditions, highlighting the need for relevant human cellular models. This study presents a hybrid differentiation method to produce nociceptive sensory neurons from hPSCs. Lines harboring an inducible

Indexed as

Chronic PainInduced Pluripotent Stem CellsBasic Helix-Loop-Helix ProteinsHumansNAV1.7 Voltage-Gated Sodium ChannelNerve Tissue ProteinsNociceptionNociceptorsSensory Receptor CellsBasic Helix-Loop-Helix ProteinsNAV1.7 Voltage-Gated Sodium ChannelNerve Tissue ProteinsNEUROG2 protein, humanSCN9A protein, humanchronic pain modelselectrophysiologyhuman iPSCiPSC differentiationmulti-electrode array platformsensory neuronssingle-cell RNA-seq

Identifiers

PMID36452863
PMCPMC9701618
OpenAlexW4309341282

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.