Evidence map›Paper›PMID 34318289›Full record

ArticleCell reports methods2021

A high-content platform for physiological profiling and unbiased classification of individual neurons.

Daniel M DuBreuil, Brenda M Chiang, Kevin Zhu, Xiaofan Lai, Patrick Flynn, Yechiam Sapir, Brian J Wainger

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Interleukin-1α links peripheral CaScientific reports · 2024
    Article
  4. Interleukin-1α links peripheral CabioRxiv : the preprint server for biology · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Heat But Not Mechanical Hypersensitivity Depends on Voltage-Gated CaThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  10. 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

7 authors at 2 institutions in 2 countries.

Daniel M DuBreuilDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Brenda M ChiangDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Kevin ZhuDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Xiaofan LaiDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Patrick FlynnDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Yechiam SapirDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Brian J WaingerDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Harvard University · USBroad Institute · US

Funding

A Human Stem Cell-Derived Neuromuscular Junction Model for Amyotrophic Lateral SclerosisDP2NS106664 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WAINGER, BRIAN JASON · 2017 to 2017
$2.6M
NINDS NIH HHS DP2 NS106664
6 · The paper itself

Abstract

High-throughput physiological assays lose single-cell resolution, precluding subtype-specific analyses of activation mechanism and drug effects. We demonstrate APPOINT (automated physiological phenotyping of individual neuronal types), a physiological assay platform combining calcium imaging, robotic liquid handling, and automated analysis to generate physiological activation profiles of single neurons at large scale. Using unbiased techniques, we quantify responses to sequential stimuli, enabling subgroup identification by physiology and probing of distinct mechanisms of neuronal activation within subgroups. Using APPOINT, we quantify primary sensory neuron activation by metabotropic receptor agonists and identify potential contributors to pain signaling. We expand the role of neuroimmune interactions by showing that human serum directly activates sensory neurons, elucidating a new potential pain mechanism. Finally, we apply APPOINT to develop a high-throughput, all-optical approach for quantification of activation threshold and pharmacologically validate contributions of ion channel families to optical activation.

Indexed as

PainSensory Receptor CellsHigh-Throughput Screening AssaysHumansSignal Transduction

Identifiers

PMID34318289
PMCPMC8312640
OpenAlexW3147680635

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.