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Classifying prion and prion-like phenomena.

Djamel Harbi1, Paul M Harrison1

  • 1Department of Biology; McGill University; Montreal, QC Canada.

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Summary
This summary is machine-generated.

Classifying prion and prion-like phenomena is challenging due to unstable terminology. A detailed ontological approach may be needed to define different "flavors" of these protein-misfolding diseases.

Keywords:
bioinformaticsclassificationdatabaseprion-likeprionoidquasi-prion

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Area of Science:

  • Neuroscience
  • Biochemistry
  • Pathology

Background:

  • Prion and prion-like phenomena have expanded significantly.
  • Terms like "prion-like" lack stable, consistent meaning in scientific literature.
  • This ambiguity complicates informatics-based data classification.

Purpose of the Study:

  • To overview challenges in classifying prion/prion-like data.
  • To examine the spectrum of proteins described as prion-forming.
  • To discuss the varied meanings of "prion" in scientific literature.

Main Methods:

  • Literature review of prion and prion-like phenomena.
  • Analysis of protein classifications and transmissibility evidence.
  • Discussion of definitional challenges and potential solutions.

Main Results:

  • The term "prion" has a range of meanings, with a strict definition requiring in vitro-derived recombinant prion infection.
  • Prion/prion-like phenomena can be broadly grouped by transmissibility evidence.
  • Current terminology is insufficient for precise classification.

Conclusions:

  • A stable, precise classification system for prion and prion-like phenomena is currently lacking.
  • An ontological approach may be necessary for nuanced definitions as new phenomena emerge.
  • Improved classification will aid informatics and research in neurodegenerative diseases.