Pathogenic postzygotic mosaicism in the tyrosine receptor kinase pathway: potential unidentified human disease hidden away in a few cells.
Irene Tiemann-BoegeTheresa MairAtena YasariMichal ZurovecPublished in: The FEBS journal (2020)
Mutations occurring during embryonic development affect only a subset of cells resulting in two or more distinct cell populations that are present at different levels, also known as postzygotic mosaicism (PZM). Although PZM is a common biological phenomenon, it is often overlooked as a source of disease due to the challenges associated with its detection and characterization, especially for very low-frequency variants. Moreover, PZM can cause a different phenotype compared to constitutional mutations. Especially, lethal mutations in receptor tyrosine kinase (RTK) pathway genes, which exist only in a mosaic state, can have completely new clinical manifestations and can look very different from the associated monogenic disorder. However, some key questions are still not addressed, such as the level of mosaicism resulting in a pathogenic phenotype and how the clinical outcome changes with the development and age. Addressing these questions is not trivial as we require methods with the sensitivity to capture some of these variants hidden away in very few cells. Recent ultra-accurate deep-sequencing approaches can now identify these low-level mosaics and will be central to understand systemic and local effects of mosaicism in the RTK pathway. The main focus of this review is to highlight the importance of low-level mosaics and the need to include their detection in studies of genomic variation associated with disease.
Keyphrases
- induced apoptosis
- tyrosine kinase
- cell cycle arrest
- copy number
- single cell
- epidermal growth factor receptor
- endothelial cells
- endoplasmic reticulum stress
- high resolution
- gene expression
- genome wide
- loop mediated isothermal amplification
- signaling pathway
- mesenchymal stem cells
- stem cells
- cell therapy
- binding protein
- sensitive detection
- quantum dots
- dna methylation
- protein kinase