Evidence map›Paper›PMID 39008182›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Quantifying Spatial Patterns of Tissue Stiffness Within the Embryonic Mouse Kidney.

Somdutta Chakraborty, Kara E Peak, Jason P Gleghorn, Thomas J Carroll, Victor D Varner

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. The kidney stroma in development and disease.Nature reviews. Nephrology · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. 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

5 authors.

Somdutta ChakrabortyDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
Kara E PeakDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
Jason P GleghornDepartment of Biomedical Engineering, University of Delaware, Newark, DE, USA.
Thomas J CarrollDepartment of Molecular Biology, UT Southwestern Medical Center, Dallas, TX, USA.
Victor D VarnerDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA. vdv@utdallas.edu.

Funding

UT Southwestern O'Brien Kidney Research Core CenterP30DK079328 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI MOE, ORSON W · 2007 to 2021
$16.9M
UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeff G McDonald · 2022 to 2026
$7.4M
Mechanical Control of Cell Proliferation and Branching Morphogenesis in the Embryonic LungR01HL145147 · NHLBI · UNIVERSITY OF TEXAS DALLAS · PI VARNER, VICTOR D. · 2019 to 2023
$1.9M
NHLBI NIH HHS R01 HL145147NIDDK NIH HHS P30 DK079328NIDDK NIH HHS P30 DK127984
6 · The paper itself

Abstract

Biophysical factors, including changes in mechanical stiffness, have been shown to influence the morphogenesis of developing organs. There is a lack of experimental techniques, however, that can probe the mechanical properties of embryonic tissues-especially those which are not mechanically or optically accessible, such as the visceral organs of the developing mouse embryo. Here, using the embryonic kidney as a model system, we describe a method to use microindentation to quantify tissue-level regional differences in the mechanical properties of an embryonic organ. This technique is generalizable and can be used to quantify patterns of tissue stiffness within other developing organ systems. Going forward, these data will enable new experimental studies of the role of biophysical cues during organogenesis.

Indexed as

KidneyAnimalsBiomechanical PhenomenaEmbryo, MammalianMiceOrganogenesisBiomechanicsKidney developmentMechanobiologyMicroindentationMorphogenesis

Identifiers

PMID39008182
PMCPMC13200794

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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.