Evidence map›Paper›PMID 34913129›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Live Imaging of the Dynamics of Mammalian Neural Crest Cell Migration.

Emma L Moore, Paul A Trainor

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
1.0field-weighted citation impact, top 22% 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. Cell extrusion drives neural crest cell delamination.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. 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

2 authors at 1 institution in 1 country.

Emma L MooreStowers Institute for Medical Research, Kansas City, MO, USA.ORCID 0000-0003-4116-918X
Paul A TrainorStowers Institute for Medical Research, Kansas City, MO, USA.ORCID 0000-0003-2774-3624
Stowers Institute for Medical Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural crest cells (NCC) are a multipotent cell population that play an important role in vertebrate development. Often touted as the fourth-germ layer, NCC are induced at the border of the neural and non-neural ectoderm during the neurulation phase of embryogenesis. NCC undergo an epithelial to mesenchymal transition (EMT) that facilitates their delamination and migration throughout the embryo. After reaching their final destination, NCC then differentiate into numerous distinct cell types including neurons and glia, melanocytes, and craniofacial chondrocytes and osteoblasts. Research into the signals and mechanisms regulating each step of NCC development has been instrumental to our understanding of vertebrate development, evolution, and disease. However, studying the single and collective cellular dynamics of mammalian NCC migration has proven difficult due to the challenges accessing, and limitations visualizing, NCC within an embryo that develops in utero. The following chapter describes methods for studying the dynamics of cranial NCC migration in whole mouse embryos and in two-dimensional (2D) and 3D explant cultures of the neural plate, but these methods can be adapted for NCC at any axial level of the embryo.

Indexed as

Neural CrestAnimalsCell DifferentiationCell MovementEpithelial-Mesenchymal TransitionMiceMultipotent Stem CellsVertebratesCell migrationCraniofacial developmentLive imagingMouse embryoNeural crest cellsSingle-cell dynamicsWhole embryo culture

Identifiers

PMID34913129
OpenAlexW4200168164

What OpenQuestion holds

Textmetadata
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.