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In Silico analysis links the NSL complex to Parkinson’s disease and the mitochondria – Protein-protein interaction data to functional enrichment analysis

By Katie Kelly, PhD, Patrick Lewis, PhD, Helene Plun-Favreau, PhD, Claudia Manzoni, PhD
View Published Protocol

Output Details

Description
This bioinformatics approach has been taken to investigate the interactome of the NSL complex, to unpick its relevance to PD progression. The mitochondrial interactome of the NSL complex has been built, mining 3 separate repositories: PINOT, HIPPIE and MIST, for curated, literature-derived protein-protein interaction (PPI) data.
Identifier (DOI)
10.17504/protocols.io.5qpvorb19v4o/v1
Tags
  • Bioinformatics
  • GWAS
  • LRRK2
  • Mitochondria
  • PD progression
  • VPS35
Team
Team Hardy
Program
Collaborative Research Network
Theme
PD Functional Genomics

Meet the Authors

  • User avatar fallback logo

    Katie Kelly, PhD

    Key Personnel: Team Hardy, 

    University College London

  • Patrick Lewis, PhD

    Collaborating PI: Team Hardy, 

    Royal Veterinary College

  • User avatar fallback logo

    Helene Plun-Favreau, PhD

    Collaborating PI: Team Hardy, 

    University College London

  • Claudia Manzoni, PhD

    Key Personnel: Team Hardy, 

    University College London

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Software for in Silico analysis linking the NSL complex to Parkinson’s disease and the mitochondria (protein-protein interaction data to functional enrichment analysis)

View Code
View More Outputs
Aligning Science Across Parkinson's
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