Evidence map›Paper›PMID 22525126›Full record

ArticleJournal of visualized experiments : JoVE2012

High-resolution live imaging of cell behavior in the developing neuroepithelium.

Raman M Das, Arwen C Wilcock, Jason R Swedlow, Kate G Storey

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Embryonic Chicken (Comparative medicine · 2019
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Chicken embryo spinal cord slice culture protocol.Journal of visualized experiments : JoVE · 2013
    Article
  11. 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

4 authors.

Raman M DasNeural Development Group, Division of Cell and Developmental Biology, College of Life Sciences, University of Dundee, Dundee, UK.
Arwen C Wilcock
Jason R Swedlow
Kate G Storey

Funding

Wellcome Trust 083611
6 · The paper itself

Abstract

The embryonic spinal cord consists of cycling neural progenitor cells that give rise to a large percentage of the neuronal and glial cells of the central nervous system (CNS). Although much is known about the molecular mechanisms that pattern the spinal cord and elicit neuronal differentiation, we lack a deep understanding of these early events at the level of cell behavior. It is thus critical to study the behavior of neural progenitors in real time as they undergo neurogenesis. In the past, real-time imaging of early embryonic tissue has been limited by cell/tissue viability in culture as well as the phototoxic effects of fluorescent imaging. Here we present a novel assay for imaging such tissue for long periods of time, utilizing a novel ex vivo slice culture protocol and wide-field fluorescence microscopy (Fig. 1). This approach achieves long-term time-lapse monitoring of chick embryonic spinal cord progenitor cells with high spatial and temporal resolution. This assay may be modified to image a range of embryonic tissues. In addition to the observation of cellular and sub-cellular behaviors, the development of novel and highly sensitive reporters for gene activity (for example, Notch signaling) makes this assay a powerful tool with which to understand how signaling regulates cell behavior during embryonic development.

Indexed as

AnimalsChick EmbryoEmbryonic DevelopmentEmbryonic Stem CellsImage Processing, Computer-AssistedNeural Stem CellsNeuroepithelial CellsSpinal Cord

Identifiers

PMID22525126
PMCPMC3466664

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.