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Single Cell Pull-Down for Characterization of Protein Complexes

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Handbook of Single Cell Technologies

Abstract

Quantitative analysis of protein complexes in their native cellular environment provides unbiased information for mechanistic understanding of various cellular processes. Particularly for protein complexes formed by transient protein-protein interactions, single cell analysis emerges as a powerful method for revealing the heterogeneity that plays important roles in spatiotemporal regulation of biological functions. In this chapter, single cell pull-down (SiCPull) is introduced for characterizing protein complexes formed in live cells at a single molecule level. This chapter starts with a brief introduction on fluorescence-based methods used for detecting protein complexes. Multidisciplinary techniques required for establishing SiCPull are elaborated with respect to surface biofunctionalization for protein capturing, micropatterning, and single molecule fluorescence analysis. Applications of SiCPull for determining the stability and stoichiometry of protein complexes are demonstrated for proteins involved in type I interferon signaling. Further applications of SiCPull are highlighted for label-free protein characterization in visible to infrared (IR) and terahertz (THz) spectral regions. At the end of the chapter, future developments toward high throughput SiCPull are discussed.

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Acknowledgment

The authors thank the intramural funding from Osnabrück University within the profile line “Integrated Science” and funding from NSFC (31870976) for support.

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Correspondence to Changjiang You .

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© 2021 Springer Nature Singapore Pte Ltd

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Philippi, M., Li, Z., Bhagawati, M., You, C. (2021). Single Cell Pull-Down for Characterization of Protein Complexes. In: Santra, T.S., Tseng, FG. (eds) Handbook of Single Cell Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-10-4857-9_43-1

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  • DOI: https://doi.org/10.1007/978-981-10-4857-9_43-1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4857-9

  • Online ISBN: 978-981-10-4857-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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