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Label-Free Single-Molecule Pulldown for the Detection of Released Cellular Protein Complexes.
Ma, Guangzhong; Zhang, Pengfei; Zhou, Xinyu; Wan, Zijian; Wang, Shaopeng.
Afiliação
  • Ma G; Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States.
  • Zhang P; Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States.
  • Zhou X; Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States.
  • Wan Z; School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States.
  • Wang S; Biodesign Center for Biosensors and Bioelectronics, Arizona State University, Tempe, Arizona 85287, United States.
ACS Cent Sci ; 8(9): 1272-1281, 2022 Sep 28.
Article em En | MEDLINE | ID: mdl-36188347
Precise and sensitive detection of intracellular proteins and complexes is key to the understanding of signaling pathways and cell functions. Here, we present a label-free single-molecule pulldown (LFSMP) technique for the imaging of released cellular protein and protein complexes with single-molecule sensitivity and low sample consumption down to a few cells per mm2. LFSMP is based on plasmonic scattering imaging and thus can directly image the surface-captured molecules without labels and quantify the binding kinetics. In this paper, we demonstrate the detection principle for LFSMP, study the phosphorylation of protein complexes involved in a signaling pathway, and investigate how kinetic analysis can be used to improve the pulldown specificity. We wish our technique can contribute to uncovering the molecular mechanisms in cells with single-molecule resolution.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article