An in silico argument for mitochondrial microRNA as a determinant of primary non function in liver transplantation

Shirin Elizabeth Khorsandi1, Siamak Salehi2, Miriam Cortes2

  • 1Institute of Liver Studies, King's College Hospital, London, United Kingdom. shirin.khorsandi@kcl.ac.uk.

Scientific Reports
|February 17, 2018
PubMed

Insights

This study reveals key mitochondrial microRNAs (MitomiRs) and their interactions in primary non-function of donor livers after cardiac death. Computational analysis identified novel small proteins crucial for transplantation outcomes.

Area of Science:

  • Mitochondrial biology
  • Computational biology
  • Genomics and transcriptomics

Background:

  • Mitochondria possess their own genetic machinery but rely on nuclear and mitochondrial genomes.
  • Primary non-function (PNF) in donor livers after cardiac death (DCD) is a critical issue in transplantation.

Purpose of the Study:

  • To computationally explore the role of Mitochondrial microRNAs (MitomiRs) and their interactions with the mitochondrial proteome in DCD liver PNF.
  • To identify novel molecular targets and pathways involved in DCD liver PNF.

Main Methods:

  • Re-analysis of archival array data on differential miRNA expression in DCD PNF using public computational algorithms.
  • In silico prediction of MitomiR interactions with the mitochondrial transcriptome and nuclear-encoded mitochondrial proteome.

Main Results:

  • Identified 10 significant MitomiRs in DCD PNF, with 7 showing predicted interactions with mitochondrial coding and non-coding regions.
  • Discovered 7 hypothetical small proteins involved in ATP synthesis, REDOX balance, and protein transport, potentially regulated by MitomiRs.
  • Highlighted the importance of unconventional and alternative seed sites in MitomiR regulation of the mitochondrial genome.

Conclusions:

  • MitomiRs play a significant role in the pathophysiology of DCD liver PNF.
  • Novel small proteins involved in mitochondrial function and cellular transport warrant further investigation for their role in transplantation.
  • Computational approaches are valuable for uncovering complex regulatory networks in organ transplantation.

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