Evidence map›Paper›PMID 36028999›Full record

ArticleBiophysical journal2022

Supracellular measurement of spatially varying mechanical heterogeneities in live monolayers.

Alexandra Bermudez, Zachary Gonzalez, Bao Zhao, Ethan Salter, Xuanqing Liu, Leixin Ma, Mohammad Khalid Jawed, Cho-Jui Hsieh, Neil Y C Lin

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophysical journal, 2022. 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
1.1field-weighted citation impact, top 28% 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, 10 citations in OpenAlex.

  1. Article
  2. Review
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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

9 authors at 2 institutions in 1 country.

Alexandra BermudezDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA; Department of Bioengineering, University of California, Los Angeles, California. Electronic address: abermudez22@g.ucla.edu.
Zachary GonzalezDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA; Department of Physics and Astronomy, University of California, Los Angeles, California.
Bao ZhaoDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA.
Ethan SalterDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA; Department of Bioengineering, University of California, Los Angeles, California.
Xuanqing LiuDepartment of Computer Science, University of California, Los Angeles, California.
Leixin MaDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA.
Mohammad Khalid JawedDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA.
Cho-Jui HsiehDepartment of Computer Science, University of California, Los Angeles, California.
Neil Y C LinDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA; Department of Bioengineering, University of California, Los Angeles, California; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, California. Electronic address: neillin@g.ucla.edu.
University of California, Los Angeles · USQB3 · US

Funding

UCLA SPORE IN PROSTATE CANCERP50CA092131 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REITER, ROBERT E · 2002 to 2023
$42.6M
UCLA MSD ProgramR25GM055052 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BARBER, PAUL HENRY, HASSON, TAMA W. · 1996 to 2021
$9.2M
NCI NIH HHS P50 CA092131NIGMS NIH HHS R25 GM055052
6 · The paper itself

Abstract

The mechanical properties of tissues have profound impacts on a wide range of biological processes such as embryo development (1,2), wound healing (3-6), and disease progression (7). Specifically, the spatially varying moduli of cells largely influence the local tissue deformation and intercellular interaction. Despite the importance of characterizing such a heterogeneous mechanical property, it has remained difficult to measure the supracellular modulus field in live cell layers with a high-throughput and minimal perturbation. In this work, we developed a monolayer effective modulus measurement by integrating a custom cell stretcher, light microscopy, and AI-based inference. Our approach first quantifies the heterogeneous deformation of a slightly stretched cell layer and converts the measured strain fields into an effective modulus field using an AI inference. This method allowed us to directly visualize the effective modulus distribution of thousands of cells virtually instantly. We characterized the mean value, SD, and correlation length of the effective cell modulus for epithelial cells and fibroblasts, which are in agreement with previous results. We also observed a mild correlation between cell area and stiffness in jammed epithelia, suggesting the influence of cell modulus on packing. Overall, our reported experimental platform provides a valuable alternative cell mechanics measurement tool that can be integrated with microscopy-based characterizations.

Indexed as

Epithelial CellsElastic ModulusStress, Mechanical

Identifiers

PMID36028999
PMCPMC9515370
OpenAlexW4293564845

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.