Single-cell A3243G mitochondrial DNA mutation load assays for segregation analysis

Non-random mtDNA segregation patterns indicate a metastable heteroplasmic segregation unit in m.3243A>G cybrid cells

Many pathogenic mitochondrial DNA mutations are heteroplasmic, with a mixture of mutated and wild-type mtDNA present within individual cells. The severity and extent of the clinical phenotype is largely due to the distribution of mutated molecules between cells in different tissues, but mechanisms underpinning segregation are not fully understood. To facilitate mtDNA segregation studies we developed assays that measure m.3243A>G point mutation loads directly in hundreds of individual cells to determine the mechanisms of segregation over time. In the first study of this size, we observed a number of discrete shifts in cellular heteroplasmy between periods of stable heteroplasmy. The observed patterns could not be parsimoniously explained by random mitotic drift of individual mtDNAs. Instead, a genetically metastable, heteroplasmic mtDNA segregation unit provides the likely explanation, where stable heteroplasmy is maintained through the faithful replication of segregating units with a fixed wild-type/m.3243A>G mutant ratio, and shifts occur through the temporary disruption and re-organization of the segregation units. While the nature of the physical equivalent of the segregation unit remains uncertain, the factors regulating its organization are of major importance for the pathogenesis of mtDNA diseases.

Human amniotic epithelial cells are reprogrammed more efficiently by induced pluripotency than adult fibroblasts

Cellular reprogramming from adult somatic cells into an embryonic cell-like state, termed induced pluripotency, has been achieved in several cell types. However, the ability to reprogram human amniotic epithelial cells (hAECs), an abundant cell source derived from discarded placental tissue, has only recently been investigated. Here we show that not only are hAECs easily reprogrammed into induced pluripotent stem cells (AE-iPSCs), but hAECs reprogram faster and more efficiently than adult and neonatal somatic dermal fibroblasts. Furthermore, AE-iPSCs express higher levels of NANOG and OCT4 compared to human foreskin fibroblast iPSCs (HFF1-iPSCs) and express decreased levels of genes associated with differentiation, including NEUROD1 and SOX17, markers of neuronal differentiation. To elucidate the mechanism behind the higher reprogramming efficiency of hAECs, we analyzed global DNA methylation, global histone acetylation, and the mitochondrial DNA A3243G point mutation. Whereas hAECs show no differences in global histone acetylation or mitochondrial point mutation accumulation compared to adult and neonatal dermal fibroblasts, hAECs demonstrate a decreased global DNA methylation compared to dermal fibroblasts. Likewise, quantitative gene expression analyses show that hAECs endogenously express OCT4, SOX2, KLF4, and c-MYC, all four factors used in cellular reprogramming. Thus, hAECs represent an ideal cell type for testing novel approaches for generating clinically viable iPSCs and offer significant advantages over postnatal cells that more likely may be contaminated by environmental exposures and infectious agents.

Polar body mutation load analysis in a patient with A3243G tRNALeu(UUR) point mutation

Diseases associated with point mutations in the mitochondrial DNA (mtDNA) are maternally inherited. We evaluated whether pre-implantation genetic diagnosis, based on polar body mutation load detection could be used to distinguish healthy from affected oocytes. Restriction Fragment Length Polymorphism (RFLP) analysis was used and validated, to determine A3243G tRNA(Leu(UUR)) mutation load in metaphase II oocytes and their respective first polar bodies. The results of this study show for the first time that the mutation load measured in the polar bodies correlates well with the mutation load in the respective oocytes. Therefore, human polar body analysis can be used as diagnostic tool to prevent transmission of mitochondrial disorders.

BlobFinder, a tool for fluorescence microscopy image cytometry

Images can be acquired at high rates with modern fluorescence microscopy hardware, giving rise to a demand for high-speed analysis of image data. Digital image cytometry, i.e., automated measurements and extraction of quantitative data from images of cells, provides valuable information for many types of biomedical analysis. There exists a number of different image analysis software packages that can be programmed to perform a wide array of useful measurements. However, the multi-application capability often compromises the simplicity of the tool. Also, the gain in speed of analysis is often compromised by time spent learning complicated software. We provide a free software called BlobFinder that is intended for a limited type of application, making it easy to use, easy to learn and optimized for its particular task. BlobFinder can perform batch processing of image data and quantify as well as localize cells and point like source signals in fluorescence microscopy images, e.g., from FISH, in situ PLA and padlock probing, in a fast and easy way.

Analysis of genes, transcripts, and proteins via DNA ligation

Analytical reactions in which short DNA strands are used in combination with DNA ligases have proven useful for measuring, decoding, and locating most classes of macromolecules. Given the need to accumulate large amounts of precise molecular information from biological systems in research and in diagnostics, ligation reactions will continue to offer valuable strategies for advanced analytical reactions. Here, we provide a basis for further development of methods by reviewing the history of analytical ligation reactions, discussing the properties of ligation reactions that render them suitable for engineering novel assays, describing a wide range of successful ligase-based assays, and briefly considering future directions.

Quantitative analysis of somatic mitochondrial DNA mutations by single-cell single-molecule PCR

Mitochondrial genome integrity is an important issue in somatic mitochondrial genetics. Development of quantitative methods is indispensable to somatic mitochondrial genetics as quantitative studies are required to characterize heteroplasmy and mutation processes, as well as their effects on phenotypic developments. Quantitative studies include the identification and measurement of the load of pathogenic and non-pathogenic clonal mutations, screening mitochondrial genomes for mutations in order to determine the mutation spectra and characterize an ongoing mutation process. Single-molecule PCR (smPCR) has been shown to be an effective method that can be applied to all areas of quantitative studies. It has distinct advantages over conventional vector-based cloning techniques avoiding the well-known PCR-related artifacts such as the introduction of artificial mutations, preferential allelic amplifications, and "jumping" PCR. smPCR is a straightforward and robust method, which can be effectively used for molecule-by-molecule mutational analysis, even when mitochondrial whole genome (mtWG) analysis is involved. This chapter describes the key features of the smPCR method and provides three examples of its applications in single-cell analysis: di-plex smPCR for deletion quantification, smPCR cloning for clonal point mutation quantification, and smPCR cloning for whole genome sequencing (mtWGS).