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 accessAbstract
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.
Integrity signals
Registry
Cites
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.
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
Subventricular zone astrocytes are neural stem cells in the adult mammalian brain
Doetsch, F., Caillé, I., Lim, D. A., García-Verdugo, J. M., & Alvarez-Buylla, A. (1999) · Cell · doi:10.1016/s0092-8674(00)80783-7 · Cited by 3,898
Knocking down barriers: advances in siRNA delivery
Whitehead, K. A., Langer, R., & Anderson, D. G. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2742 · Cited by 3,115
Nanoliter-scale synthesis of arrayed biomaterials and application to human embryonic stem cells
Anderson, D. G., Levenberg, S., & Langer, R. (2004) · Nature Biotechnology · doi:10.1038/nbt981 · Cited by 747
Cited by
Diverse Applications of Nanomedicine
Pelaz, B., Alexiou, C., Alvarez-Puebla, R. A., Alves, F., Andrews, A. M., Ashraf, S., Balogh, L. P., Ballerini, L., Bestetti, A., Brendel, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.6b06040 · Cited by 1,350
In vitro and ex vivo strategies for intracellular delivery
Stewart, M. P., Sharei, A., Ding, X., Sahay, G., Langer, R., & Jensen, K. F. (2016) · Nature · doi:10.1038/nature19764 · Cited by 885
Getting Across the Cell Membrane: An Overview for Small Molecules, Peptides, and Proteins
Yang, N. J., & Hinner, M. J. (2015) · Methods in Molecular Biology · doi:10.1007/978-1-4939-2272-7_3 · Cited by 826
Intracellular Delivery by Membrane Disruption: Mechanisms, Strategies, and Concepts
Stewart, M. P., Langer, R., & Jensen, K. F. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00678 · Cited by 747
Dynamic regulatory network controlling TH17 cell differentiation
Yosef, N., Shalek, A. K., Gaublomme, J. T., Jin, H., Lee, Y., Awasthi, A., Wu, C., Karwacz, K., Xiao, S., Jorgolli, M., et al. (2013) · Nature · doi:10.1038/nature11981 · Cited by 682
Self-citation
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.