ArticleJournal of physics. Condensed matter : an Institute of Physics journal2010
Detecting cell-adhesive sites in extracellular matrix using force spectroscopy mapping.
Article in Journal of physics. Condensed matter : an Institute of Physics journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
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.
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Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
- Mammalian cells measure the extracellular matrix area and respond through switching the adhesion state.Nature communications · 2025Article
- StemBond hydrogels control the mechanical microenvironment for pluripotent stem cells.Nature communications · 2021Article
- Biophysical Regulation of Cell Behavior-Cross Talk between Substrate Stiffness and Nanotopography.Engineering (Beijing, China) · 2017Article
- Haptotaxis is cell type specific and limited by substrate adhesiveness.Cellular and molecular bioengineering · 2015Article
- Interplay of matrix stiffness and protein tethering in stem cell differentiation.Nature materials · 2014Article
- Molecular basis of lateral force spectroscopy nano-diagnostics: computational unbinding of autism related chemokine MCP-1 from IgG antibody.Journal of molecular modeling · 2013Article
- Dynamic and reversible surface topography influences cell morphology.Journal of biomedical materials research. Part A · 2013Article
- Cell instructive microporous scaffolds through interface engineering.Journal of the American Chemical Society · 2012Article
- Fascia: a morphological description and classification system based on a literature review.The Journal of the Canadian Chiropractic Association · 2012Article
- Wet nanoscale imaging and testing of polymersomes.Small (Weinheim an der Bergstrasse, Germany) · 2011Article
- Nanoscopic mechanical anisotropy in hydrogel surfaces.Soft matter · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The cell microenvironment is composed of extracellular matrix (ECM), which contains specific binding sites that allow the cell to adhere to its surroundings. Cells employ focal adhesion proteins, which must be able to resist a variety of forces to bind to ECM. Current techniques for detecting the spatial arrangement of these adhesions, however, have limited resolution and those that detect adhesive forces lack sufficient spatial characterization or resolution. Using a unique application of force spectroscopy, we demonstrate here the ability to determine local changes in the adhesive property of a fibronectin substrate down to the resolution of the fibronectin antibody-functionalized tip diameter, ~20 nm. To verify the detection capabilities of force spectroscopy mapping (FSM), changes in loading rate and temperature were used to alter the bond dynamics and change the adhesion force. Microcontact printing was also used to pattern fluorescein isothiocyanate-conjugated fibronectin in order to mimic the discontinuous adhesion domains of native ECM. Fluorescent detection was used to identify the pattern while FSM was used to map cell adhesion sites in registry with the initial fluorescent image. The results show that FSM can be used to detect the adhesion domains at high resolution and may subsequently be applied to native ECM with randomly distributed cell adhesion sites.
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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.