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Cited by 336

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

Phycobilisomes Supply Excitations to Both Photosystems in a Megacomplex in Cyanobacteria

Open access
Liu, Haijun, Zhang, Hao, Niedzwiedzki, Dariusz M., Prado, Mindy, He, Guannan, Gross, Michael L., Blankenship, Robert E.·2013·Science

Abstract

Complexing Photosynthesis: Photosynthesis operates through a series of protein complexes that harvest sunlight and turn it into chemical energy. The separate complexes—including photosystems I and II, phycobilisome antennae, and reaction centers—are understood for a number of photosynthetic organisms; however, the large-scale organization and interactions between them are less clear. Using protein cross-linking, Liu et al. (p. 1104 ) demonstrate how the individual components are organized when present as a megacomplex in the cyanobacterium Synechocystis PCC 6803. Time-resolved fluorescence spectroscopy indicated that the phycobilisomes transfer energy to both photosystems, which is consistent with their molecular arrangement.

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Crossref · 10.1126/science.1242321

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Metadata

Authors
Liu, H., Zhang, H., Niedzwiedzki, D. M., Prado, M., He, G., Gross, M. L., & Blankenship, R. E.
Venue
Science
Published
2013-11-29
Volume
342
Issue
6162
Pages
1104-1107
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2013772006
Cited by
336
References
1
FWCI
13.72
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Phycobilisomes Supply Excitations to Both Photosystems in a Megacomplex in Cyanobacteria. https://app.cochat.ai/papers/10.1126/science.1242321
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Liu, H., Zhang, H., Niedzwiedzki, D. M., Prado, M., He, G., Gross, M. L., & Blankenship, R. E. (2013). Phycobilisomes Supply Excitations to Both Photosystems in a Megacomplex in Cyanobacteria. Science. https://doi.org/10.1126/science.1242321

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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.