Evidence map›Paper›PMID 37071747›Full record

ArticleACS nano2023

Quantifying Intracellular Nanoparticle Distributions with Three-Dimensional Super-Resolution Microscopy.

Vinit Sheth, Xuxin Chen, Evan M Mettenbrink, Wen Yang, Meredith A Jones, Ons M'Saad, Abigail G Thomas, Rylee S Newport, Emmy Francek, Lin Wang and 8 more

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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  5. Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.Proceedings of SPIE--the International Society for Optical Engineering · 2026
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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

18 authors at 4 institutions in 1 country.

Vinit ShethStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Xuxin ChenSchool of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.ORCID 0000-0001-8872-8992
Evan M MettenbrinkStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Wen YangStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.ORCID 0000-0001-9206-0868
Meredith A JonesStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Ons M'SaadDepartment of Cell Biology, Yale School of Medicine, New Haven, Connecticut 06510, United States.
Abigail G ThomasStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Rylee S NewportStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Emmy FrancekStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Lin WangStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.ORCID 0000-0003-4636-8225
Alex N FrickensteinStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Nathan D DonahueStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Alyssa HoldenStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Nathan F MjemaStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.
Dixy E GreenDepartment of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73126, United States.
Paul L DeAngelisDepartment of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73126, United States.
Joerg BewersdorfDepartment of Cell Biology, Yale School of Medicine, New Haven, Connecticut 06510, United States.
Stefan WilhelmStephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma 73019, United States.ORCID 0000-0003-2167-6221
University of Oklahoma · USUniversity of Oklahoma Health Sciences Center · USYale University · USOklahoma State University Oklahoma City · US

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI Kevan C Herold, GERALD I SHULMAN · 1993 to 2026
$44.0M
Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Wade Williams · 2018 to 2026
$27.1M
Use of 3D Quantitative Optical Methods to Optimize Mebendazole Treatment of Ovarian CancerP20GM135009 · NIGMS · UNIVERSITY OF OKLAHOMA · PI Yuye Ling · 2022 to 2026
$13.6M
Yale Cooperative Hematology Specialized Core CenterU54DK106857 · NIDDK · YALE UNIVERSITY · PI JOHN HWA, Diane S Krause · 2015 to 2026
$9.7M
Quantitative Analysis of Serum Autoantibody Repertories in Systemic Lupus ErythematosusR01AI141625 · NIAID · UNIVERSITY OF OKLAHOMA · PI SINGH, SHANTERI, SMITH, KENNETH MICHAEL · 2019 to 2023
$2.1M
NCI NIH HHS P30 CA225520NIAID NIH HHS R01 AI141625NIDDK NIH HHS P30 DK045735NIDDK NIH HHS U54 DK106857NIGMS NIH HHS P20 GM135009Wellcome TrustWellcome Trust 203285/B/16/Z
6 · The paper itself

Abstract

Super-resolution microscopy can transform our understanding of nanoparticle-cell interactions. Here, we established a super-resolution imaging technology to visualize nanoparticle distributions inside mammalian cells. The cells were exposed to metallic nanoparticles and then embedded within different swellable hydrogels to enable quantitative three-dimensional (3D) imaging approaching electron-microscopy-like resolution using a standard light microscope. By exploiting the nanoparticles' light scattering properties, we demonstrated quantitative label-free imaging of intracellular nanoparticles with ultrastructural context. We confirmed the compatibility of two expansion microscopy protocols, protein retention and pan-expansion microscopy, with nanoparticle uptake studies. We validated relative differences between nanoparticle cellular accumulation for various surface modifications using mass spectrometry and determined the intracellular nanoparticle spatial distribution in 3D for entire single cells. This super-resolution imaging platform technology may be broadly used to understand the nanoparticle intracellular fate in fundamental and applied studies to potentially inform the engineering of safer and more effective nanomedicines.

Indexed as

Metal NanoparticlesAnimalsImaging, Three-DimensionalMammalsMass SpectrometryMicroscopy, ElectronNanomedicine3D imagingexpansion microscopylabel-freenanomedicinenanoparticlessuper-resolution

Identifiers

PMID37071747
PMCPMC10643044
OpenAlexW4366251387

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.