Evidence map›Paper›PMID 23180027›Full record

ArticleAnnals of biomedical engineering2013

A computational approach to understand phenotypic structure and constitutive mechanics relationships of single cells.

Scott T Wood, Brian C Dean, Delphine Dean

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Scott T WoodDepartment of Bioengineering, Clemson University, 301 Rhodes Research Center, Clemson, SC 29634, USA.
Brian C Dean
Delphine Dean
Clemson University · US

Funding

Supplement for South Carolina BRIN - 1P20 RR16461P20RR016461 · NCRR · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI PIRISI-CREEK, LUCIA AMELIA · 2001 to 2011
$32.3M
Cardiac-Cell Mechanics at the Single-Cell Level: Properties and InteractionsK25HL092228 · NHLBI · CLEMSON UNIVERSITY · PI DEAN, DELPHINE · 2009 to 2013
$813k
NCRR NIH HHS P20 RR-016461NCRR NIH HHS P20 RR016461NHLBI NIH HHS K25 HL 092228NHLBI NIH HHS K25 HL092228
6 · The paper itself

Abstract

The goal of this study is to construct a representative 3D finite element model (FEM) of individual cells based on their sub-cellular structures that predicts cell mechanical behavior. The FEM simulations replicate atomic force microscopy (AFM) nanoindentation experiments on live vascular smooth muscle cells. Individual cells are characterized mechanically with AFM and then imaged in 3D using a spinning disc confocal microscope. Using these images, geometries for the FEM are automatically generated via image segmentation and linear programming algorithms. The geometries consist of independent structures representing the nucleus, actin stress fiber network, and cytoplasm. These are imported into commercial software for mesh refinement and analysis. The FEM presented here is capable of predicting AFM results well for 500 nm indentations. The FEM results are relatively insensitive to both the exact number and diameter of fibers used. Despite the localized nature of AFM nanoindentation, the model predicts that stresses are distributed in an anisotropic manner throughout the cell body via the actin stress fibers. This pattern of stress distribution is likely a result of the geometric arrangement of the actin network.

Indexed as

Models, BiologicalAlgorithmsAnimalsBiomechanical PhenomenaBiomedical EngineeringComputer SimulationFemaleFinite Element AnalysisImaging, Three-DimensionalMicroscopy, Atomic ForceMicroscopy, ConfocalMyocytes, Smooth MuscleRatsRats, Sprague-DawleyStress Fibers

Identifiers

PMID23180027
PMCPMC3594057
OpenAlexW2016511641

What OpenQuestion holds

Textmetadata
LicenceTDM
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.