Evidence map›Paper›PMID 25267619›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Probing biological nanotopology via diffusion of weakly constrained plasmonic nanorods with optical coherence tomography.

Raghav K Chhetri, Richard L Blackmon, Wei-Chen Wu, David B Hill, Brian Button, Patricia Casbas-Hernandez, Melissa A Troester, Joseph B Tracy, Amy L Oldenburg

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Journal of biomedical optics · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Nanomotors Sense Local Physicochemical Heterogeneities in Tumor Microenvironments*.Angewandte Chemie (International ed. in English) · 2020
    Article
  9. Article
  10. Article
  11. Review
  12. Diffusion tensor optical coherence tomography.Physics in medicine and biology · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Diffusion-sensitive optical coherence tomography for real-time monitoring of mucus thinning treatments.Proceedings of SPIE--the International Society for Optical Engineering · 2016
    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

9 authors at 3 institutions in 1 country.

Raghav K ChhetriDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3255;
Richard L BlackmonDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3255;
Wei-Chen WuDepartment of Materials Science and Engineering, North Carolina State University, Raleigh, NC 27695;
David B HillDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3255; Cystic Fibrosis/Pulmonary Research and Treatment Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7248;
Brian ButtonCystic Fibrosis/Pulmonary Research and Treatment Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7248;
Patricia Casbas-HernandezLineberger Comprehensive Cancer Center/Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295; and.
Melissa A TroesterLineberger Comprehensive Cancer Center/Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295; and.
Joseph B TracyDepartment of Materials Science and Engineering, North Carolina State University, Raleigh, NC 27695;
Amy L OldenburgDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3255; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7513 aold@physics.unc.edu.
University of North Carolina at Chapel Hill · USNorth Carolina State University · USImaging Center · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
The Biophysics of Mucus Hydration and Adhesion/CohesionP01HL108808 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEDEN, DAVID B. · 2012 to 2021
$23.9M
"Smart" Nanoparticles for Cancer Therapy and ImagingU54CA119343 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JULIANO, RUDOLPH · 2005 to 2009
$18.3M
INTERACTIVE GRAPHICS FOR MOLECULAR STUDIES &MICROSCOPYP41EB002025 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUPERFINE, RICHARD · 2003 to 2019
$16.9M
Pregnancy, Obesogenic Environments, and Basal-like Breast CancerU01ES019472 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROESTER, MELISSA A. · 2010 to 2014
$2.3M
Development of a method for in situ nanorheology of human airway mucusR21HL111968 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI OLDENBURG, AMY L · 2012 to 2013
$392k
Quantitative Motility Phenotyping of Basal Breast Cancer in a 3D MicroenvironmentR21CA179204 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI OLDENBURG, AMY L · 2014 to 2015
$343k
NCI NIH HHS R21 CA179204NCI NIH HHS R21CA179204NCI NIH HHS U54 CA119343NCI NIH HHS U54CA119343NHLBI NIH HHS P01 HL108808NHLBI NIH HHS P01HL108808NHLBI NIH HHS R21 HL111968NHLBI NIH HHS R21HL111968NIBIB NIH HHS P41 EB002025NIEHS NIH HHS P30 ES010126NIEHS NIH HHS U01 ES019472NIEHS NIH HHS U01ES019472
6 · The paper itself

Abstract

Biological materials exhibit complex nanotopology, i.e., a composite liquid and solid phase structure that is heterogeneous on the nanoscale. The diffusion of nanoparticles in nanotopological environments can elucidate biophysical changes associated with pathogenesis and disease progression. However, there is a lack of methods that characterize nanoprobe diffusion and translate easily to in vivo studies. Here, we demonstrate a method based on optical coherence tomography (OCT) to depth-resolve diffusion of plasmon-resonant gold nanorods (GNRs) that are weakly constrained by the biological tissue. By using GNRs that are on the size scale of the polymeric mesh, their Brownian motion is minimally hindered by intermittent collisions with local macromolecules. OCT depth-resolves the particle-averaged translational diffusion coefficient (DT) of GNRs within each coherence volume, which is separable from the nonequilibrium motile activities of cells based on the unique polarized light-scattering properties of GNRs. We show how this enables minimally invasive imaging and monitoring of nanotopological changes in a variety of biological models, including extracellular matrix (ECM) remodeling as relevant to carcinogenesis, and dehydration of pulmonary mucus as relevant to cystic fibrosis. In 3D ECM models, DT of GNRs decreases with both increasing collagen concentration and cell density. Similarly, DT of GNRs is sensitive to human bronchial-epithelial mucus concentration over a physiologically relevant range. This novel method comprises a broad-based platform for studying heterogeneous nanotopology, as distinct from bulk viscoelasticity, in biological milieu.

Indexed as

Tomography, Optical CoherenceBronchiCells, CulturedCollagenDiffusionEpithelial CellsExtracellular MatrixGoldHumansMetal NanoparticlesMucusNanotubesPolyethylene GlycolsSolutionsStromal CellsCollagenGoldPolyethylene GlycolsSolutionsdiffusion in extracellular matrixdiffusion in mucusdynamic light scatteringnanoparticle diffusionplasmon resonance

Identifiers

PMID25267619
PMCPMC4205670
OpenAlexW2113599651

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.