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Cited by 268

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Getting Closer to the Whole Picture

Open access
Sauer, Uwe, Heinemann, Matthias, Zamboni, Nicola·2007·Science

Abstract

A major challenge of biology is to unravel the organization and interactions of cellular networks that enable complex processes such as the biochemistry of growth or cell division. The underlying complexity arises from intertwined nonlinear and dynamic interactions among large numbers of cellular constituents, such as genes, proteins, and metabolites. As well, interactions among these components vary in nature (regulatory, structural, and catalytic), effect, and strength. The reductionist approach has successfully identified most of the components and many interactions but, unfortunately, offers no convincing concepts and methods to comprehend how system properties emerge. To understand how and why cells function the way they do, comprehensive and quantitative data on component concentrations are required to quantify component interactions. On page 593 of this issue, Ishii et al. (1) provide unsurpassed complete and quantitative data of components at the various constituent levels in a bacterial cell.

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Crossref · 10.1126/science.1142502

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Metadata

Authors
Sauer, U., Heinemann, M., & Zamboni, N.
Venue
Science
Published
2007-04-27
Volume
316
Issue
5824
Pages
550-551
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2155829013
Cited by
268
References
1
FWCI
10.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Getting Closer to the Whole Picture. https://app.cochat.ai/papers/10.1126/science.1142502
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Sauer, U., Heinemann, M., & Zamboni, N. (2007). Getting Closer to the Whole Picture. Science. https://doi.org/10.1126/science.1142502

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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.