Evidence map›Paper›PMID 33531512›Full record

ArticleScientific reports2021

Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen.

Jeffrey A Mulligan, Lu Ling, Nichaluk Leartprapun, Claudia Fischbach, Steven G Adie

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Optical coherence tomography.Nature reviews. Methods primers · 2022
    Article
  12. Article
  13. 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 at 1 institution in 1 country.

Jeffrey A MulliganSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY, 14853, USA.
Lu LingNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Nichaluk LeartprapunNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Claudia FischbachNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Steven G AdieNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA. sga42@cornell.edu.
Cornell University · US

Funding

Project 3: Physical and Metabolic Constraints of Cancer Cell InvasionU54CA210184 · NCI · CORNELL UNIVERSITY · PI CANTLEY, LEWIS C., FISCHBACH, CLAUDIA · 2016 to 2020
$10.2M
Volumetric time-lapse imaging of biophysical cell-extracellular matrix interactions for systems mechanobiology researchR01GM132823 · NIGMS · CORNELL UNIVERSITY · PI ADIE, STEVEN GRAHAM · 2019 to 2022
$1.7M
NCI NIH HHS U54 CA210184NIGMS NIH HHS R01 GM132823
6 · The paper itself

Abstract

Traction force microscopy (TFM) is an important family of techniques used to measure and study the role of cellular traction forces (CTFs) associated with many biological processes. However, current standard TFM methods rely on imaging techniques that do not provide the experimental capabilities necessary to study CTFs within 3D collective and dynamic systems embedded within optically scattering media. Traction force optical coherence microscopy (TF-OCM) was developed to address these needs, but has only been demonstrated for the study of isolated cells embedded within optically clear media. Here, we present computational 4D-OCM methods that enable the study of dynamic invasion behavior of large tumor spheroids embedded in collagen. Our multi-day, time-lapse imaging data provided detailed visualizations of evolving spheroid morphology, collagen degradation, and collagen deformation, all using label-free scattering contrast. These capabilities, which provided insights into how stromal cells affect cancer progression, significantly expand access to critical data about biophysical interactions of cells with their environment, and lay the foundation for future efforts toward volumetric, time-lapse reconstructions of collective CTFs with TF-OCM.

Indexed as

Models, BiologicalAdipose TissueAnimalsBiomechanical PhenomenaCell AdhesionCell Line, TumorCell MovementCollagenComputer SimulationExtracellular MatrixHumansIntravital MicroscopyMiceNeoplasm InvasivenessNeoplasmsOptical ImagingCollagen

Identifiers

PMID33531512
PMCPMC7854660
OpenAlexW3126914143

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.