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Sequence-based features that are determinant for tail-anchored membrane protein sorting in eukaryotes.

Michelle Y Fry1, Shyam M Saladi1, Alexandre Cunha2

  • 1Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, USA.

Traffic (Copenhagen, Denmark)
|July 21, 2021
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Summary

Tail-anchored (TA) proteins require precise targeting for cell function. This study reveals a hydrophobic face within the transmembrane domain accurately predicts TA protein localization to the ER or mitochondria.

Keywords:
EMCGET pathwaySND pathwayco-chaperonesprotein targetingtail-anchored proteins

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Area of Science:

  • Cell Biology
  • Biochemistry
  • Molecular Biology

Background:

  • Tail-anchored (TA) proteins are essential for cellular homeostasis, with their correct localization to organelles like the ER and mitochondria being critical.
  • TA proteins possess a hydrophobic transmembrane domain (TMD) at their C-terminus, dictating their destination.
  • Current methods for predicting TA protein localization based solely on overall hydrophobicity are often inaccurate, leading to misclassification.

Purpose of the Study:

  • To investigate the specific features of the TMD that determine TA protein localization to either the ER or mitochondria.
  • To develop a more accurate predictive metric for TA protein targeting.
  • To experimentally validate bioinformatic predictions regarding TA protein localization determinants.

Main Methods:

  • Bioinformatic analysis of curated TA proteins with experimentally determined localizations.
  • Assessment of various hypotheses for TA protein recognition and targeting.
  • Experimental validation of predicted localization determinants, focusing on hydrophobic properties and C-terminal charge.

Main Results:

  • A hydrophobic face within the TMD is identified as the most accurate singular metric for distinguishing ER- and mitochondria-targeted yeast TA proteins.
  • A predictive metric focusing on an 11-residue segment of the TMD demonstrates efficacy in classifying human TA proteins.
  • A combined approach using both hydrophobicity and C-terminal charge provides the most inclusive and accurate predictor for TA protein localization.

Conclusions:

  • Geometric hydrophobic properties, specifically a hydrophobic face, are key determinants of TA protein localization.
  • The developed predictive metrics offer improved accuracy over traditional hydrophobicity-based methods.
  • This research provides a foundation for further mechanistic studies into the molecular factors governing TA protein targeting.