Direct Imaging of Protein Organization in an Intact Bacterial Organelle Using High-Resolution Atomic Force Microscopy
Abstract
The function of bioenergetic membranes is strongly influenced by the spatial arrangement of their constituent membrane proteins. Atomic force microscopy (AFM) can be used to probe protein organization at high resolution, allowing individual proteins to be identified. However, previous AFM studies of biological membranes have typically required that curved membranes are ruptured and flattened during sample preparation, with the possibility of disruption of the native protein arrangement or loss of proteins. Imaging native, curved membranes requires minimal tip–sample interaction in both lateral and vertical directions. Here, long-range tip–sample interactions are reduced by optimizing the imaging buffer. Tapping mode AFM with high-resonance-frequency small and soft cantilevers, in combination with a high-speed AFM, reduces the forces due to feedback error and enables application of an average imaging force of tens of piconewtons. Using this approach, we have imaged the membrane organization of intact vesicular bacterial photosynthetic “organelles”, chromatophores. Despite the highly curved nature of the chromatophore membrane and lack of direct support, the resolution was sufficient to identify the photosystem complexes and quantify their arrangement in the native state. Successive imaging showed the proteins remain surprisingly static, with minimal rotation or translation over several-minute time scales. High-order assemblies of RC-LH1-PufX complexes aremore »
- Authors:
-
- Department of Physics and Astronomy, ‡Department of Molecular Biology and Biotechnology, §Department of Chemistry, and ∥Krebs Institute, University of Sheffield, Sheffield, South Yorkshire S10 2TN, U.K.
- Publication Date:
- Research Org.:
- Energy Frontier Research Centers (EFRC) (United States). Photosynthetic Antenna Research Center (PARC)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES); Engineering and Physical Sciences Research Council (EPSRC); Biotechnology and Biological Sciences Research Council (BBSRC) (United Kingdom); European Research Council (ERC)
- OSTI Identifier:
- 1333026
- Alternate Identifier(s):
- OSTI ID: 1388745
- Grant/Contract Number:
- SC 0001035; SC0001035; EP/I012060/1; BB/L014904/1; EP/M027430/1; BB/M00026/1; 338895
- Resource Type:
- Published Article
- Journal Name:
- ACS Nano
- Additional Journal Information:
- Journal Name: ACS Nano Journal Volume: 11 Journal Issue: 1; Journal ID: ISSN 1936-0851
- Publisher:
- American Chemical Society (ACS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Rhodobacter sphaeroides; chromatophores; high-speed AFM; native curved membranes; light-harvesting 2 (LH2); RC-LH1-PufX; ATP-synthase (ATPase); solar (fuels), photosynthesis (natural and artificial), biofuels (including algae and biomass), bio-inspired, charge transport, membrane, synthesis (novel materials), synthesis (self-assembly)
Citation Formats
Kumar, Sandip, Cartron, Michaël L., Mullin, Nic, Qian, Pu, Leggett, Graham J., Hunter, C. Neil, and Hobbs, Jamie K. Direct Imaging of Protein Organization in an Intact Bacterial Organelle Using High-Resolution Atomic Force Microscopy. United States: N. p., 2016.
Web. doi:10.1021/acsnano.6b05647.
Kumar, Sandip, Cartron, Michaël L., Mullin, Nic, Qian, Pu, Leggett, Graham J., Hunter, C. Neil, & Hobbs, Jamie K. Direct Imaging of Protein Organization in an Intact Bacterial Organelle Using High-Resolution Atomic Force Microscopy. United States. https://doi.org/10.1021/acsnano.6b05647
Kumar, Sandip, Cartron, Michaël L., Mullin, Nic, Qian, Pu, Leggett, Graham J., Hunter, C. Neil, and Hobbs, Jamie K. Mon .
"Direct Imaging of Protein Organization in an Intact Bacterial Organelle Using High-Resolution Atomic Force Microscopy". United States. https://doi.org/10.1021/acsnano.6b05647.
@article{osti_1333026,
title = {Direct Imaging of Protein Organization in an Intact Bacterial Organelle Using High-Resolution Atomic Force Microscopy},
author = {Kumar, Sandip and Cartron, Michaël L. and Mullin, Nic and Qian, Pu and Leggett, Graham J. and Hunter, C. Neil and Hobbs, Jamie K.},
abstractNote = {The function of bioenergetic membranes is strongly influenced by the spatial arrangement of their constituent membrane proteins. Atomic force microscopy (AFM) can be used to probe protein organization at high resolution, allowing individual proteins to be identified. However, previous AFM studies of biological membranes have typically required that curved membranes are ruptured and flattened during sample preparation, with the possibility of disruption of the native protein arrangement or loss of proteins. Imaging native, curved membranes requires minimal tip–sample interaction in both lateral and vertical directions. Here, long-range tip–sample interactions are reduced by optimizing the imaging buffer. Tapping mode AFM with high-resonance-frequency small and soft cantilevers, in combination with a high-speed AFM, reduces the forces due to feedback error and enables application of an average imaging force of tens of piconewtons. Using this approach, we have imaged the membrane organization of intact vesicular bacterial photosynthetic “organelles”, chromatophores. Despite the highly curved nature of the chromatophore membrane and lack of direct support, the resolution was sufficient to identify the photosystem complexes and quantify their arrangement in the native state. Successive imaging showed the proteins remain surprisingly static, with minimal rotation or translation over several-minute time scales. High-order assemblies of RC-LH1-PufX complexes are observed, and intact ATPases are successfully imaged. The methods developed here are likely to be applicable to a broad range of protein-rich vesicles or curved membrane systems, which are an almost ubiquitous feature of native organelles.},
doi = {10.1021/acsnano.6b05647},
journal = {ACS Nano},
number = 1,
volume = 11,
place = {United States},
year = {Mon Nov 14 00:00:00 EST 2016},
month = {Mon Nov 14 00:00:00 EST 2016}
}
https://doi.org/10.1021/acsnano.6b05647
Web of Science
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