Evidence map›Paper›PMID 31914314›Full record

ArticleACS nano2020

Ultrathin Silicon Membranes for

Diána Hudecz, Tejas Khire, Hung Li Chung, Laurent Adumeau, Dale Glavin, Emma Luke, Morten S Nielsen, Kenneth A Dawson, James L McGrath, Yan Yan

Open access · goldAbstract read
In one paragraph

Article in ACS nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  9. Article
  10. Review
  11. Towards Novel BiomimeticBioengineering (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. In Vitro Models of Biological Barriers for Nanomedical Research.International journal of molecular sciences · 2022
    Review
  20. 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

10 authors at 3 institutions in 3 countries.

Diána HudeczCentre for BioNano Interactions, School of Chemistry , University College Dublin , Belfield, Dublin 4 , Ireland.ORCID 0000-0002-7167-5553
Tejas KhireDepartment of Biomedical Engineering , University of Rochester , Rochester , New York 14627 , United States.
Hung Li ChungDepartment of Biomedical Engineering , University of Rochester , Rochester , New York 14627 , United States.
Laurent AdumeauCentre for BioNano Interactions, School of Chemistry , University College Dublin , Belfield, Dublin 4 , Ireland.ORCID 0000-0001-7665-0577
Dale GlavinDepartment of Biomedical Engineering , University of Rochester , Rochester , New York 14627 , United States.
Emma LukeDepartment of Biomedical Engineering , University of Rochester , Rochester , New York 14627 , United States.
Morten S NielsenDepartment of Biomedicine, Faculty of Health , Aarhus University , Høegh-Guldbergs Gade 10 , 8000 Aarhus , Denmark.ORCID 0000-0001-9863-9694
Kenneth A DawsonCentre for BioNano Interactions, School of Chemistry , University College Dublin , Belfield, Dublin 4 , Ireland.ORCID 0000-0002-0568-6588
James L McGrathDepartment of Biomedical Engineering , University of Rochester , Rochester , New York 14627 , United States.ORCID 0000-0003-2017-8335
Yan YanCentre for BioNano Interactions, School of Chemistry , University College Dublin , Belfield, Dublin 4 , Ireland.ORCID 0000-0003-2938-4063
University of Rochester · USUniversity College Dublin · IEAarhus University · DK

Funding

Neutrophil-endothelial interactions and barrier function in sepsisR01HL125265 · NHLBI · UNIVERSITY OF ROCHESTER · PI KIM, MINSOO, REICHNER, JONATHAN S · 2014 to 2018
$3.9M
NHLBI NIH HHS R01 HL125265
6 · The paper itself

Abstract

Here we present a blood-brain barrier (BBB) model that enables high-resolution imaging of nanoparticle (NP) interactions with endothelial cells and the capture of rare NP translocation events. The enabling technology is an ultrathin silicon nitride (SiN) membrane (0.5 μm pore size, 20% porosity, 400 nm thickness) integrated into a dual-chamber platform that facilitates imaging at low working distances (∼50 μm). The platform, the μSiM-BBB (microfluidic silicon membrane-BBB), features human brain endothelial cells and primary astrocytes grown on opposite sides of the membrane. The human brain endothelial cells form tight junctions on the ultrathin membranes and exhibit a significantly higher resistance to FITC-dextran diffusion than commercial membranes. The enhanced optical properties of the SiN membrane allow high-resolution live-cell imaging of three types of NPs, namely, 40 nm PS-COOH, 100 nm PS-COOH, and apolipoprotein E-conjugated 100 nm SiO

Indexed as

Models, BiologicalOptical ImagingBiological TransportBlood-Brain BarrierCell LineCoculture TechniquesHumansNanoparticlesParticle SizeSiliconSurface PropertiesSiliconblood−brain barriercoculturelive-cell imagingnanoparticleultrathin silicon nitride membrane

Identifiers

PMID31914314
PMCPMC7049097
OpenAlexW2999844866

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.