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Cited by 627

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

A self-assembly pathway to aligned monodomain gels

Open access
Zhang, Shuming, Greenfield, Megan A., Mata, Alvaro, Palmer, Liam C., Bitton, Ronit, Mantei, Jason R., Aparicio, Conrado, de la Cruz, Monica Olvera, Stupp, Samuel I.·2010·Nature Materials

Abstract

Aggregates of charged amphiphilic molecules have been found to access a structure at elevated temperature that templates alignment of supramolecular fibrils over macroscopic scales. The thermal pathway leads to a lamellar plaque structure with fibrous texture that breaks upon cooling into large arrays of aligned nanoscale fibres and forms a strongly birefringent liquid. By manually dragging this liquid crystal from a pipette onto salty media, it is possible to extend this alignment over centimetres in noodle-shaped viscoelastic strings. Using this approach, the solution of supramolecular filaments can be mixed with cells at physiological temperatures to form monodomain gels of aligned cells and filaments. The nature of the self-assembly process and its biocompatibility would allow formation of cellular wires in situ that have any length and customized peptide compositions for use in biological applications.

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Crossref · 10.1038/nmat2778

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Metadata

Authors
Zhang, S., Greenfield, M. A., Mata, A., Palmer, L. C., Bitton, R., Mantei, J. R., Aparicio, C., de la Cruz, M. O., & Stupp, S. I.
Venue
Nature Materials
Published
2010-06-13
Volume
9
Issue
7
Pages
594-601
ISSN
  • 1476-1122 (ISSN-L)
  • 1476-4660
OpenAlex
W2074864118
Cited by
627
References
5
FWCI
15.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A self-assembly pathway to aligned monodomain gels. https://app.cochat.ai/papers/10.1038/nmat2778
The paper
Zhang, S., Greenfield, M. A., Mata, A., Palmer, L. C., Bitton, R., Mantei, J. R., Aparicio, C., de la Cruz, M. O., & Stupp, S. I. (2010). A self-assembly pathway to aligned monodomain gels. Nature Materials. https://doi.org/10.1038/nmat2778

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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.