Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 569

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Vertical silicon nanowires as a universal platform for delivering biomolecules into living cells

Open access
Shalek, Alex K., Robinson, Jacob T., Karp, Ethan S., Lee, Jin Seok, Ahn, Dae-Ro, Yoon, Myung-Han, Sutton, Amy, Jorgolli, Marsela, Gertner, Rona S., Gujral, Taranjit S., MacBeath, Gavin, Yang, Eun Gyeong, Park, Hongkun·2010·Proceedings of the National Academy of Sciences

Abstract

A generalized platform for introducing a diverse range of biomolecules into living cells in high-throughput could transform how complex cellular processes are probed and analyzed. Here, we demonstrate spatially localized, efficient, and universal delivery of biomolecules into immortalized and primary mammalian cells using surface-modified vertical silicon nanowires. The method relies on the ability of the silicon nanowires to penetrate a cell’s membrane and subsequently release surface-bound molecules directly into the cell’s cytosol, thus allowing highly efficient delivery of biomolecules without chemical modification or viral packaging. This modality enables one to assess the phenotypic consequences of introducing a broad range of biological effectors (DNAs, RNAs, peptides, proteins, and small molecules) into almost any cell type. We show that this platform can be used to guide neuronal progenitor growth with small molecules, knock down transcript levels by delivering siRNAs, inhibit apoptosis using peptides, and introduce targeted proteins to specific organelles. We further demonstrate codelivery of siRNAs and proteins on a single substrate in a microarray format, highlighting this technology’s potential as a robust, monolithic platform for high-throughput, miniaturized bioassays.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.0909350107

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 569

Metadata

Authors
Shalek, A. K., Robinson, J. T., Karp, E. S., Lee, J. S., Ahn, D.-R., Yoon, M.-H., Sutton, A., Jorgolli, M., Gertner, R. S., Gujral, T. S., MacBeath, G., Yang, E. G., & Park, H.
Venue
Proceedings of the National Academy of Sciences
Published
2010-01-11
Volume
107
Issue
5
Pages
1870-1875
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2076028647
Cited by
569
References
3
FWCI
23.12
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Vertical silicon nanowires as a universal platform for delivering biomolecules into living cells. https://app.cochat.ai/papers/10.1073/pnas.0909350107
The paper
Shalek, A. K., Robinson, J. T., Karp, E. S., Lee, J. S., Ahn, D.-R., Yoon, M.-H., Sutton, A., Jorgolli, M., Gertner, R. S., Gujral, T. S., MacBeath, G., Yang, E. G., & Park, H. (2010). Vertical silicon nanowires as a universal platform for delivering biomolecules into living cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0909350107

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.