Evidence map›Paper›PMID 32614644›Full record

ArticleMolecular biology of the cell2020

Characterizing the cellular architecture of dynamically remodeling vascular tissue using 3-D image analysis and virtual reconstruction.

Roopa Madhu, Delany Rodriguez, Claudia Guzik, Shambhavi Singh, Anthony W De Tomaso, Megan T Valentine, Dinah Loerke

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology of the cell, 2020. 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
1.6field-weighted citation impact, top 16% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Vascular Aging in the Invertebrate Chordate,Frontiers in molecular biosciences · 2021
    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 1 country.

Roopa MadhuDepartment of Physics and Astronomy, University of Denver, Denver, CO 80208.
Delany RodriguezDepartment of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, Santa Barbara, CA 93106.
Claudia GuzikDepartment of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, Santa Barbara, CA 93106.
Shambhavi SinghDepartment of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, Santa Barbara, CA 93106.
Anthony W De TomasoDepartment of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, Santa Barbara, CA 93106.
Megan T ValentineDepartment of Mechanical Engineering, University of California, Santa Barbara, Santa Barbara, CA 93106.
Dinah LoerkeDepartment of Physics and Astronomy, University of Denver, Denver, CO 80208.
University of California, Santa Barbara · USUniversity of Denver · US

Funding

National Science Foundation DBI-1625770
6 · The paper itself

Abstract

Epithelial tubules form critical structures in lung, kidney, and vascular tissues. However, the processes that control their morphogenesis and physiological expansion and contraction are not well understood. Here we examine the dynamic remodeling of epithelial tubes in vivo using a novel model system: the extracorporeal vasculature of

Indexed as

ActinsAnimalsBasement MembraneCytoskeletonEpithelial CellsExtracellular MatrixFocal Adhesion Protein-Tyrosine KinasesImage Processing, Computer-AssistedImaging, Three-DimensionalIntegrinsMechanical PhenomenaMechanotransduction, CellularMorphogenesisSignal TransductionUrochordataVascular RemodelingActinsFocal Adhesion Protein-Tyrosine KinasesIntegrins

Identifiers

PMID32614644
PMCPMC7521853
OpenAlexW3040239184

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.