Unveiling the nanoscale architectures and dynamics of protein assembly with in situ atomic force microscopy

Zhai, Zhaoyi; Schmid, Sakshi Yadav; Lin, Zhixing; Zhang, Shuai; Jiao, Fang

doi:10.1002/agt2.604

Title: Unveiling the nanoscale architectures and dynamics of protein assembly with in situ atomic force microscopy

Journal Article · 29 May 2024 · Aggregate

DOI: https://doi.org/10.1002/agt2.604 · OSTI ID:2368966

^[1]; Schmid, Sakshi Yadav ^[2]; Lin, Zhixing ^[3];

^[2]; Jiao, Fang ^[1]

Laboratory of Soft Matter Physics, Institute of Physics Chinese Academy of Sciences Beijing China
Physical Sciences Division Pacific Northwest National Laboratory Richland Washington USA, Department of Materials Science and Engineering University of Washington Seattle Washington USA
Department of Materials Science and Engineering University of Washington Seattle Washington USA

Abstract Proteins play a vital role in different biological processes by forming complexes through precise folding with exclusive inter‐ and intra‐molecular interactions. Understanding the structural and regulatory mechanisms underlying protein complex formation provides insights into biophysical processes. Furthermore, the principle of protein assembly gives guidelines for new biomimetic materials with potential applications in medicine, energy, and nanotechnology. Atomic force microscopy (AFM) is a powerful tool for investigating protein assembly and interactions across spatial scales (single molecules to cells) and temporal scales (milliseconds to days). It has significantly contributed to understanding nanoscale architectures, inter‐ and intra‐molecular interactions, and regulatory elements that determine protein structures, assemblies, and functions. This review describes recent advancements in elucidating protein assemblies with in situ AFM. We discuss the structures, diffusions, interactions, and assembly dynamics of proteins captured by conventional and high‐speed AFM in near‐native environments and recent AFM developments in the multimodal high‐resolution imaging, bimodal imaging, live cell imaging, and machine‐learning‐enhanced data analysis. These approaches show the significance of broadening the horizons of AFM and enable unprecedented explorations of protein assembly for biomaterial design and biomedical research.

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Sponsoring Organization:: USDOE

OSTI ID:: 2368966

Alternate ID(s):: OSTI ID: 2560780

Journal Information:: Aggregate, Journal Name: Aggregate Journal Issue: 5 Vol. 5; ISSN 2692-4560

Publisher:: Wiley Blackwell (John Wiley & Sons)Copyright Statement

Country of Publication:: Country unknown/Code not available

Language:: English

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