Related Experiment Video
Updated: Dec 20, 2025

An In Vitro Approach to Study Mitochondrial Dysfunction: A Cybrid Model
Published on: March 9, 2022
Clinical Bioinformatics in Precise Diagnosis of Mitochondrial Disease
Lishuang Shen1, Elizabeth M McCormick2, Colleen Clarke Muraresku2
1Keck School of Medicine of USC, Center for Personalized Medicine, Children's Hospital Los Angeles, Suite 300, 2100 West 3rd Street, Los Angeles, CA 90057, USA.
Abstract:
Clinical bioinformatics system is well-established for diagnosing genetic disease based on next-generation sequencing, but requires special considerations when being adapted for the next-generation sequencing-based genetic diagnosis of mitochondrial diseases. Challenges are caused by the involvement of mitochondrial DNA genome in disease etiology. Heteroplasmy and haplogroup are key factors in interpreting mitochondrial DNA variant effects. Data resources and tools for analyzing variant and sequencing data are available at MSeqDR, MitoMap, and HmtDB. Revised specifications of the American College of Medical Genetics/Association of Molecular Pathology standards and guidelines for mitochondrial DNA variant interpretation are proposed by the MSeqDr Consortium and community experts.
Related Concept Videos
Animal Mitochondrial Genetics
Translocation of Proteins into the Mitochondria
Sorting of outer membrane proteins:
Mitochondrial outer membrane proteins are of two types: the transmembrane, beta-barrel porins, and the membrane-anchored, alpha-helical proteins. Beta-barrel porin precursors are translocated by the TOM complex and inserted into the outer mitochondrial membrane by the SAM complex. In contrast,...

