Evidence map›Paper›PMID 28028534›Full record

ArticleScience advances2016

Cellular uptake and dynamics of unlabeled freestanding silicon nanowires.

John F Zimmerman, Ramya Parameswaran, Graeme Murray, Yucai Wang, Michael Burke, Bozhi Tian

Abstract read
In one paragraph

Article in Science advances, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
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

49 citing papers in PubMed.

  1. Article
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  7. Article
  8. Morphological transformations of vesicles with confined flexible filaments.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Review
  10. Bio-hybrid electronic and photonic devices.Experimental biology and medicine (Maywood, N.J.) · 2022
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Nanoenabled Bioelectrical Modulation.Accounts of materials research · 2021
    Article
  17. Review
  18. Biotransformation modulates the penetration of metallic nanomaterials across an artificial blood-brain barrier model.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  19. Article
  20. Review
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

6 authors.

John F ZimmermanDepartment of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-4099-8699
Ramya ParameswaranDepartment of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA.
Graeme MurrayDepartment of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-6503-9294
Yucai WangDepartment of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA.; The CAS Key Laboratory of Innate Immunity and Chronic Diseases, School of Life Sciences and Medical Center, University of Science and Technology of China, Hefei, Anhui 230027, PR China.
Michael BurkeDepartment of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-2472-7389
Bozhi TianDepartment of Chemistry, James Franck Institute and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA.

Funding

MEDICAL SCIENTIST TRAININGT32GM007281 · NIGMS · UNIVERSITY OF CHICAGO · PI CLARK, MARCUS RAMSAY · 1985 to 2022
$32.1M
NIGMS NIH HHS T32 GM007281
6 · The paper itself

Abstract

The ability to seamlessly merge electronic devices with biological systems at the cellular length scale is an exciting prospect for exploring new fundamental cell biology and in designing next-generation therapeutic devices. Semiconductor nanowires are well suited for achieving this goal because of their intrinsic size and wide range of possible configurations. However, current studies have focused primarily on delivering substrate-bound nanowire devices through mechanical abrasion or electroporation, with these bulkier substrates negating many of the inherent benefits of using nanoscale materials. To improve on this, an important next step is learning how to distribute these devices in a drug-like fashion, where cells can naturally uptake and incorporate these electronic components, allowing for truly noninvasive device integration. We show that silicon nanowires (SiNWs) can potentially be used as such a system, demonstrating that label-free SiNWs can be internalized in multiple cell lines (96% uptake rate), undergoing an active "burst-like" transport process. Our results show that, rather than through exogenous manipulation, SiNWs are internalized primarily through an endogenous phagocytosis pathway, allowing cellular integration of these materials. To study this behavior, we have developed a robust set of methodologies for quantitatively examining high-aspect ratio nanowire-cell interactions in a time-dependent manner on both single-cell and ensemble levels. This approach represents one of the first dynamic studies of semiconductor nanowire internalization and offers valuable insight into designing devices for biomolecule delivery, intracellular sensing, and photoresponsive therapies.

Indexed as

active transportdynamicsintracellularphagocytosissilicon nanowires

Identifiers

PMID28028534
PMCPMC5161427

What OpenQuestion holds

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Registered trials

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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.