Evidence map›Paper›PMID 28880279›Full record

ArticleNature protocols2017

Live-cell confocal microscopy and quantitative 4D image analysis of anchor-cell invasion through the basement membrane in Caenorhabditis elegans.

Laura C Kelley, Zheng Wang, Elliott J Hagedorn, Lin Wang, Wanqing Shen, Shijun Lei, Sam A Johnson, David R Sherwood

Abstract read
In one paragraph

Article in Nature protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. A Window into Mammalian Basement Membrane Development: Insights from thebioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Visualizing cytoplasmic ATP inSTAR protocols · 2022
    Article
  17. Article
  18. A light sheet fluorescence microscopy protocol forFrontiers in cell and developmental biology · 2022
    Article
  19. Article
  20. Review
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

8 authors.

Laura C KelleyDepartment of Biology, Regeneration Next, Duke University, Durham, North Carolina, USA.
Zheng WangDepartment of Biology, Regeneration Next, Duke University, Durham, North Carolina, USA.
Elliott J HagedornDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Howard Hughes Medical Institute, Boston, Massachusetts, USA.
Lin WangCenter for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wanqing ShenCenter for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shijun LeiCenter for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Sam A JohnsonLight Microscopy Core Facility, Duke University, Durham, North Carolina, USA.
David R SherwoodDepartment of Biology, Regeneration Next, Duke University, Durham, North Carolina, USA.

Funding

Understanding how cells invade through basement membrane in vivoR35GM118049 · NIGMS · DUKE UNIVERSITY · PI David R Sherwood · 2016 to 2026
$6.8M
Genetic Analysis of Cell Invasion through Basement MembranesR01GM079320 · NIGMS · DUKE UNIVERSITY · PI SHERWOOD, DAVID R · 2007 to 2015
$2.8M
Visualizing and Elucidating the Role of Force on Type IV Collagen in DevelopmentR21HD084290 · NICHD · DUKE UNIVERSITY · PI SHERWOOD, DAVID R · 2016 to 2017
$412k
NICHD NIH HHS R21 HD084290NIGMS NIH HHS R01 GM079320NIGMS NIH HHS R35 GM118049
6 · The paper itself

Abstract

Cell invasion through basement membrane (BM) barriers is crucial in development, leukocyte trafficking and the spread of cancer. The mechanisms that direct invasion, despite their importance in normal and disease states, are poorly understood, largely because of the inability to visualize dynamic cell-BM interactions in vivo. This protocol describes multichannel time-lapse confocal imaging of anchor-cell invasion in live Caenorhabditis elegans. Methods presented include outline-slide preparation and worm growth synchronization (15 min), mounting (20 min), image acquisition (20-180 min), image processing (20 min) and quantitative analysis (variable timing). The acquired images enable direct measurement of invasive dynamics including formation of invadopodia and cell-membrane protrusions, and removal of BM. This protocol can be combined with genetic analysis, molecular-activity probes and optogenetic approaches to uncover the molecular mechanisms underlying cell invasion. These methods can also be readily adapted by any worm laboratory for real-time analysis of cell migration, BM turnover and cell-membrane dynamics.

Indexed as

AnimalsBasement MembraneCaenorhabditis elegansCell MembraneImaging, Three-DimensionalMicroscopy, ConfocalTime-Lapse Imaging

Identifiers

PMID28880279
PMCPMC5915360

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Registered trials

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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.