ArticleScientific reports2021
Integrated computational and experimental pipeline for quantifying local cell-matrix interactions.
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 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Application of instant assembly of collagen to bioprint cardiac tissues.APL bioengineering · 2025Article
- Proteolysis and Contractility Regulate Tissue Opening and Wound Healing by Lung Fibroblasts in 3D Microenvironments.Advanced healthcare materials · 2024Article
- Translational medicine for acute lung injury.Journal of translational medicine · 2024Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Cellular interactions with the extracellular matrix (ECM) play a key role in modulating biological processes. While studies have identified key molecular factors of these interactions, the mechanical regulation associated with these interactions is not well characterized. To address this, we present an image analysis platform to analyze time-dependent dynamics observed in lung fibroblasts embedded in a 3D collagen matrix. Combining drug studies with quantitative analysis of cell-matrix interactions, our results are able to provide cellular level quantitative insights for mechanical and biophysical phenomena relevant to cell-ECM interactions. This system overall represents an initial pipeline for understanding cell mechanics in a 3D collagen gel and their implications in a physiologically relevant context.
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Registered trials
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.