4.4 Article

Inducible LAP-tagged Stable Cell Lines for Investigating Protein Function, Spatiotemporal Localization and Protein Interaction Networks

Journal

JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
Volume -, Issue 118, Pages -

Publisher

JOURNAL OF VISUALIZED EXPERIMENTS
DOI: 10.3791/54870

Keywords

Molecular Biology; Issue 118; TAP-tag; LAP-tag; Epitope-tag; Biochemical purifications; Affinity proteomics; Protein-protein interactions; Interactome; Protein interaction network; Protein localization

Funding

  1. National Science Foundation [NSF-MCB1243645]
  2. Direct For Biological Sciences [1243645] Funding Source: National Science Foundation
  3. Div Of Molecular and Cellular Bioscience [1243645] Funding Source: National Science Foundation

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Multi-protein complexes, rather than single proteins acting in isolation, often govern molecular pathways regulating cellular homeostasis. Based on this principle, the purification of critical proteins required for the functioning of these pathways along with their native interacting partners has not only allowed the mapping of the protein constituents of these pathways, but has also provided a deeper understanding of how these proteins coordinate to regulate these pathways. Within this context, understanding a protein's spatiotemporal localization and its protein-protein interaction network can aid in defining its role within a pathway, as well as how its misregulation may lead to disease pathogenesis. To address this need, several approaches for protein purification such as tandem affinity purification (TAP) and localization and affinity purification (LAP) have been designed and used successfully. Nevertheless, in order to apply these approaches to pathway-scale proteomic analyses, these strategies must be supplemented with modern technological developments in cloning and mammalian stable cell line generation. Here, we describe a method for generating LAP-tagged human inducible stable cell lines for investigating protein subcellular localization and protein-protein interaction networks. This approach has been successfully applied to the dissection of multiple cellular pathways including cell division and is compatible with high-throughput proteomic analyses.

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