Evidence map›Paper›PMID 37206924›Full record

ArticleFrontiers in cell and developmental biology2023

Isolation of human pluripotent stem cell-derived sensory neuron subtypes by immunopanning.

Kenyi Saito-Diaz, Christina James, Archie Jayesh Patel, Nadja Zeltner

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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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 at 1 institution in 1 country.

Kenyi Saito-DiazCenter for Molecular Medicine, University of Georgia, Athens, GA, United States.
Christina JamesCenter for Molecular Medicine, University of Georgia, Athens, GA, United States.
Archie Jayesh PatelCenter for Molecular Medicine, University of Georgia, Athens, GA, United States.
Nadja ZeltnerCenter for Molecular Medicine, University of Georgia, Athens, GA, United States.
University of Georgia · US

Funding

Precision Medicine for the Peripheral Nervous System Disorder Familiar DysautonomiaR01NS114567 · NINDS · UNIVERSITY OF GEORGIA · PI Nadja Zeltner · 2021 to 2026
$3.0M
NINDS NIH HHS R01 NS114567
6 · The paper itself

Abstract

Sensory neurons (SNs) detect a wide range of information from the body and the environment that is critical for homeostasis. There are three main subtypes of SNs: nociceptors, mechanoreceptors, and proprioceptors, which express different membrane proteins, such as TRKA, TRKB, or TRKC, respectively. Human pluripotent stem cell technology provides an ideal platform to study development and diseases of SNs, however there is not a viable method to isolate individual SN subtype for downstream analysis available. Here, we employ the method immunopanning to isolate each SN subtype. This method is very gentle and allows proper survival after the isolation. We use antibodies against TRKA, TRKB, and TRKC to isolate nociceptors, mechanoreceptors, and proprioceptors, respectively. We show that our cultures are enriched for each subtype and express their respective subtype markers. Furthermore, we show that the immunopanned SNs are electrically active and respond to specific stimuli. Thus, our method can be used to purify viable neuronal subtypes using respective membrane proteins for downstream studies.

Indexed as

human pluripotent stem cell (hPSC)immunopanningmechanoreceptornociceptorperipheral nervous system (PNS)proprioceptorsensory neurons

Identifiers

PMID37206924
PMCPMC10189519
OpenAlexW4368376703

What OpenQuestion holds

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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.