Evidence map›Paper›PMID 27500521›Full record

ArticleJournal of visualized experiments : JoVE2016

Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix.

Alexandra S Piotrowski-Daspit, Celeste M Nelson

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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.

Alexandra S Piotrowski-DaspitChemical and Biological Engineering, Princeton University.
Celeste M NelsonChemical and Biological Engineering, Princeton University; Molecular Biology, Princeton University; celesten@Princeton.EDU.
Princeton University · US

Funding

Biophysical and Biochemical Effects of the ECM on Breast Epithelial CellsR01CA187692 · NCI · PRINCETON UNIVERSITY · PI NELSON, CELESTE M, RADISKY, DEREK C · 2015 to 2019
$2.1M
Mechanical Regulation of Mesenchyme and Mammalian Lung DevelopmentR01HL120142 · NHLBI · PRINCETON UNIVERSITY · PI NELSON, CELESTE M · 2014 to 2017
$1.6M
Exogenous Fluid Forces and Branching of the Mammalian LungR21HL118532 · NHLBI · PRINCETON UNIVERSITY · PI NELSON, CELESTE M · 2014 to 2015
$442k
NCI NIH HHS R01 CA187692NHLBI NIH HHS R01 HL120142NHLBI NIH HHS R21 HL118532
6 · The paper itself

Abstract

The architecture of branched organs such as the lungs, kidneys, and mammary glands arises through the developmental process of branching morphogenesis, which is regulated by a variety of soluble and physical signals in the microenvironment. Described here is a method created to study the process of branching morphogenesis by forming engineered three-dimensional (3D) epithelial tissues of defined shape and size that are completely embedded within an extracellular matrix (ECM). This method enables the formation of arrays of identical tissues and enables the control of a variety of environmental factors, including tissue geometry, spacing, and ECM composition. This method can also be combined with widely used techniques such as traction force microscopy (TFM) to gain more information about the interactions between cells and their surrounding ECM. The protocol can be used to investigate a variety of cell and tissue processes beyond branching morphogenesis, including cancer invasion.

Indexed as

Tissue EngineeringEpitheliumExtracellular MatrixHumansMicroscopy, Atomic ForceMorphogenesis

Identifiers

PMID27500521
PMCPMC4993436
OpenAlexW2475303901

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.