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Updated: Jul 31, 2025

Rapid Isolation of the Mitoribosome from HEK Cells
Published on: October 4, 2018
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.
Abstract:
MRPL39 encodes one of 52 proteins comprising the large subunit of the mitochondrial ribosome (mitoribosome). In conjunction with 30 proteins in the small subunit, the mitoribosome synthesizes the 13 subunits of the mitochondrial oxidative phosphorylation (OXPHOS) system encoded by mitochondrial Deoxyribonucleic acid (DNA). We used multi-omics and gene matching to identify three unrelated individuals with biallelic variants in MRPL39 presenting with multisystem diseases with severity ranging from lethal, infantile-onset (Leigh syndrome spectrum) to milder with survival into adulthood. Clinical exome sequencing of known disease genes failed to diagnose these patients; however quantitative proteomics identified a specific decrease in the abundance of large but not small mitoribosomal subunits in fibroblasts from the two patients with severe phenotype. Re-analysis of exome sequencing led to the identification of candidate single heterozygous variants in mitoribosomal genes MRPL39 (both patients) and MRPL15. Genome sequencing identified a shared deep intronic MRPL39 variant predicted to generate a cryptic exon, with transcriptomics and targeted studies providing further functional evidence for causation. The patient with the milder disease was homozygous for a missense variant identified through trio exome sequencing. Our study highlights the utility of quantitative proteomics in detecting protein signatures and in characterizing gene-disease associations in exome-unsolved patients. We describe Relative Complex Abundance analysis of proteomics data, a sensitive method that can identify defects in OXPHOS disorders to a similar or greater sensitivity to the traditional enzymology. Relative Complex Abundance has potential utility for functional validation or prioritization in many hundreds of inherited rare diseases where protein complex assembly is disrupted.
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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