ACS Applied Bio MaterialsBiophysicsPeer-reviewed journal article
Structure Characterization of Bacterial Microcompartment Shells via X-ray Scattering and Coordinate Modeling: Evidence for adventitious capture of cytoplasmic proteins
Xiaobing ZuoiD, Alexander JussupowiD, Nina S. PonomarenkoiD, Thomas D. GrantiD, Nicholas M. TefftiD, Neetu Singh YadaviD, Kyleigh L. RangeiD, Corie Y. RalstoniD, Michaela A. TerAvestiD, Markus SutteriD, Cheryl A. KerfeldiD, Josh V. VermaasiD, Michael FeigiD, David M. TiedeiD
Abstract
Bacterial microcompartments (BMCs) are self-assembling, protein shell structures that are widely investigated across a broad range of biological and abiotic chemistry applications. A central challenge in BMC research is the targeted capture of enzymes during shell assembly. While crystallography and cryo-EM techniques have been successful in determining BMC shell structures, there has been only limited success in visualizing the location of BMC-captured enzyme cargo. Here, we demonstrate the opportunity to use small angle X-ray scattering (SAXS) and pair density distribution function (PDDF) measurements combined with quantitative comparison to coordinate structure models as an approach to characterize BMC shell structures in solution conditions directly relevant to biochemical function. Using this approach, we analyzed BMC shells from Haliangium ochraceum that were isolated following expression in E. coli. The analysis allowed BMC shell structures and the extent of encapsulated enzyme cargo to be identified. Notably, the results demonstrate that HO-BMC shells adventitiously capture significant amounts of cytoplasmic cargo during assembly in E. coli. Our findings highlight the utility of SAXS/PDDF analysis for evaluating BMC architectures and enzyme encapsulation, offering valuable insights for designing BMC shells as platforms for biological and abiotic catalyst capture within confined environments.
- organism: E. coli
- assay: structural biology
- assay: imaging
- research focus: protein structure prediction
- research focus: cell type annotation
- approach: experimental assay
- approach: statistical model
- Citations
- 3
- FWCI
- 0.63
- Field percentile
- top 44%
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