Literature DB >> 34587292

Proximity-dependent biotinylation approaches to study apicomplexan biology.

Jessica Kimmel1, Jessica Kehrer2,3, Friedrich Frischknecht2,3, Tobias Spielmann1.   

Abstract

In the last 10 years, proximity-dependent biotinylation (PDB) techniques greatly expanded the ability to study protein environments in the living cell that range from specific protein complexes to entire compartments. This is achieved by using enzymes such as BirA* and APEX that are fused to proteins of interest and biotinylate proteins in their proximity. PDB techniques are now also increasingly used in apicomplexan parasites. In this review, we first give an overview of the main PDB approaches and how they compare with other techniques that address similar questions. PDB is particularly valuable to detect weak or transient protein associations under physiological conditions and to study cellular structures that are difficult to purify or have a poorly understood protein composition. We also highlight new developments such as novel smaller or faster-acting enzyme variants and conditional PDB approaches, providing improvements in both temporal and spatial resolution which may offer broader application possibilities useful in apicomplexan research. In the second part, we review work using PDB techniques in apicomplexan parasites and how this expanded our knowledge about these medically important parasites.
© 2021 The Authors. Molecular Microbiology published by John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Plasmodiumzzm321990; APEX; BioID; BirA; Toxoplasma; apicomplexa; malaria; protein-protein interaction; proximity-dependent biotinylation

Mesh:

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Year:  2021        PMID: 34587292     DOI: 10.1111/mmi.14815

Source DB:  PubMed          Journal:  Mol Microbiol        ISSN: 0950-382X            Impact factor:   3.501


  2 in total

Review 1.  Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.

Authors:  Robyn S Kent; Emma M Briggs; Beatrice L Colon; Catalina Alvarez; Sara Silva Pereira; Mariana De Niz
Journal:  Front Cell Infect Microbiol       Date:  2022-06-06       Impact factor: 6.073

2.  DGPD: a knowledge database of dense granule proteins of the Apicomplexa.

Authors:  Hang Hu; Zhenxiao Lu; Haisong Feng; Guojun Chen; Yongmei Wang; Congshan Yang; Zhenyu Yue
Journal:  Database (Oxford)       Date:  2022-09-27       Impact factor: 4.462

  2 in total

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