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Cited by 303

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Microfluidics-based systems biology

Breslauer, David N, Lee, Philip J, Lee, Luke P·2006·Molecular BioSystems

Abstract

Systems biology seeks to develop a complete understanding of cellular mechanisms by studying the functions of intra- and inter-cellular molecular interactions that trigger and coordinate cellular events. However, the complexity of biological systems causes accurate and precise systems biology experimentation to be a difficult task. Most biological experimentation focuses on highly detailed investigation of a single signaling mechanism, which lacks the throughput necessary to reconstruct the entirety of the biological system, while high-throughput testing often lacks the fidelity and detail necessary to fully comprehend the mechanisms of signal propagation. Systems biology experimentation, however, can benefit greatly from the progress in the development of microfluidic devices. Microfluidics provides the opportunity to study cells effectively on both a single- and multi-cellular level with high-resolution and localized application of experimental conditions with biomimetic physiological conditions. Additionally, the ability to massively array devices on a chip opens the door for high-throughput, high fidelity experimentation to aid in accurate and precise unraveling of the intertwined signaling systems that compose the inner workings of the cell.

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Metadata

Authors
Breslauer, D. N., Lee, P. J., & Lee, L. P.
Venue
Molecular BioSystems
Published
2006-01-09
Volume
2
Issue
2
Pages
97-112
ISSN
  • 1742-2051 (ISSN-L)
  • 1742-206X
OpenAlex
W2028670901
Cited by
303
References
4
FWCI
21.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Microfluidics-based systems biology. https://app.cochat.ai/papers/10.1039/b515632g
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Breslauer, D. N., Lee, P. J., & Lee, L. P. (2006). Microfluidics-based systems biology. Molecular BioSystems. https://doi.org/10.1039/b515632g

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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.