Evidence map›Paper›PMID 28114766›Full record

ArticleACS nano2017

Direct Imaging of Protein Organization in an Intact Bacterial Organelle Using High-Resolution Atomic Force Microscopy.

Sandip Kumar, Michaël L Cartron, Nic Mullin, Pu Qian, Graham J Leggett, C Neil Hunter, Jamie K Hobbs

Abstract read
In one paragraph

Article in ACS nano, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Large-Scale Molecular Dynamics Simulations of Cellular Compartments.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  8. Article
  9. Article
  10. How Microbes Use Force To Control Adhesion.Journal of bacteriology · 2020
    Review
  11. Review
  12. Review
  13. Article
  14. Dissecting the cytochromeThe Biochemical journal · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Sandip KumarDepartment 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.
Michaël L CartronDepartment 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.
Nic MullinDepartment 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.
Pu QianDepartment 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.
Graham J LeggettDepartment 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.ORCID 0000-0002-4315-9076
C Neil HunterDepartment 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.ORCID 0000-0003-2533-9783
Jamie K HobbsDepartment 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.ORCID 0000-0002-5872-1404

Funding

Biotechnology and Biological Sciences Research Council BB/L014904/1Biotechnology and Biological Sciences Research Council BB/M000265/1
6 · The paper itself

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 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.

Indexed as

Bacterial ProteinsMicroscopy, Atomic ForceOrganellesParticle SizeRhodobacter sphaeroidesBacterial ProteinsATP-synthase (ATPase)chromatophoreshigh-speed AFMlight-harvesting 2 (LH2)native curved membranesRC-LH1-PufXRhodobacter sphaeroides

Identifiers

PMID28114766
PMCPMC5269641

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.