Multi-omics identifies large mitoribosomal subunit instability caused by pathogenic MRPL39 variants as a cause of

Sumudu S C Amarasekera1,2, Daniella H Hock3, Nicole J Lake1,4

  • 1Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC 3052, Australia.

Insights

Genetic variants in MRPL39 cause multisystem diseases by disrupting mitochondrial ribosomes. Quantitative proteomics revealed decreased large mitoribosomal subunits, aiding diagnosis in previously unsolved cases.

Area of Science:

  • Genetics
  • Molecular Biology
  • Biochemistry

Background:

  • MRPL39 is essential for mitochondrial ribosome (mitoribosome) function, which synthesizes proteins for mitochondrial oxidative phosphorylation (OXPHOS).
  • Mitochondrial ribosome dysfunction can lead to severe multisystemic inherited disorders.
  • Diagnosing rare genetic diseases often requires advanced molecular and proteomic techniques.

Purpose of the Study:

  • To identify the genetic cause of multisystem diseases in three unrelated individuals.
  • To investigate the role of MRPL39 variants in disease pathogenesis.
  • To evaluate the utility of quantitative proteomics in diagnosing mitochondrial disorders.

Main Methods:

  • Multi-omics (exome sequencing, genome sequencing, transcriptomics) and gene matching were employed.
  • Quantitative proteomics, including Relative Complex Abundance analysis, was used to assess mitoribosomal subunit levels.
  • Functional studies were conducted to confirm the pathogenicity of identified variants.

Main Results:

  • Biallelic variants in MRPL39 were identified in three individuals with varying disease severity, including Leigh syndrome spectrum.
  • Quantitative proteomics showed a specific decrease in large mitoribosomal subunits in patients with severe phenotypes.
  • A deep intronic variant creating a cryptic exon and a missense variant were identified as causative.

Conclusions:

  • MRPL39 variants are a cause of multisystem mitochondrial diseases.
  • Quantitative proteomics, particularly Relative Complex Abundance analysis, is a sensitive tool for diagnosing OXPHOS disorders and other rare diseases involving protein complex assembly.
  • This study highlights the importance of integrating multi-omics and proteomics for diagnosing genetic disorders.

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