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Cited by 325

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices

Open access
Prakadan, Sanjay M., Shalek, Alex K., Weitz, David A.·2017·Nature Reviews Genetics

Abstract

Recent advances in cellular profiling have demonstrated substantial heterogeneity in the behaviour of cells once deemed 'identical', challenging fundamental notions of cell 'type' and 'state'. Not surprisingly, these findings have elicited substantial interest in deeply characterizing the diversity, interrelationships and plasticity among cellular phenotypes. To explore these questions, experimental platforms are needed that can extensively and controllably profile many individual cells. Here, microfluidic structures — whether valve-, droplet- or nanowell-based — have an important role because they can facilitate easy capture and processing of single cells and their components, reducing labour and costs relative to conventional plate-based methods while also improving consistency. In this article, we review the current state-of-the-art methodologies with respect to microfluidics for mammalian single-cell 'omics' and discuss challenges and future opportunities.

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Metadata

Authors
Prakadan, S. M., Shalek, A. K., & Weitz, D. A.
Venue
Nature Reviews Genetics
Published
2017-04-10
Volume
18
Issue
6
Pages
345-361
ISSN
  • 1471-0056 (ISSN-L)
  • 1471-0064
OpenAlex
W2607278153
Cited by
325
References
56
FWCI
3.68
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices. https://app.cochat.ai/papers/10.1038/nrg.2017.15
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Prakadan, S. M., Shalek, A. K., & Weitz, D. A. (2017). Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices. Nature Reviews Genetics. https://doi.org/10.1038/nrg.2017.15

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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.