24 research outputs found

    Mitochondrial DNA control region data from indigenous Angolan Khoe-San lineages

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    Here we provide 129 complete mitochondrial control region sequences of indigenous Khoe-San individuals from Angola to contribute to the still underrepresented pool of data from Africa. The dataset consists of exclusively African lineages with a majority of Sub-Saharan haplogroups. The probability of a random match was calculated as 0.09. The data set comprises 21 haplotypes occurring more than once and 17 unique haplotypes. Upon publication, haplotypes were incorporated in the EMPOP database (www.empop.org; EMP00069) [1].http://www.elsevier.com/locate/fsi

    Evaluation of next generation mtGenome sequencing using the ion torrent Personal Genome Machine (PGM)

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    Insights into the human mitochondrial phylogeny have been primarily achieved by sequencing full mitochondrial genomes (mtGenomes). In forensic genetics (partial) mtGenome information can be used to assign haplotypes to their phylogenetic backgrounds, which may, in turn, have characteristic geographic distributions that would offer useful information in a forensic case. In addition and perhaps even more relevant in the forensic context, haplogroup-specific patterns of mutations form the basis for quality control of mtDNA sequences. The current method for establishing (partial) mtDNA haplotypes is Sanger-type sequencing (STS), which is laborious, time-consuming, and expensive. With the emergence of Next Generation Sequencing (NGS) technologies, the body of available mtDNA data can potentially be extended much more quickly and cost-efficiently. Customized chemistries, laboratory workflows and data analysis packages could support the community and increase the utility of mtDNA analysis in forensics. We have evaluated the performance of mtGenome sequencing using the Personal Genome Machine (PGM) and compared the resulting haplotypes directly with conventional Sanger-type sequencing. A total of 64 mtGenomes (>1 million bases) were established that yielded high concordance with the corresponding STS haplotypes (<0.02% differences). About two-thirds of the differences were observed in or around homopolymeric sequence stretches. In addition, the sequence alignment algorithm employed to align NGS reads played a significant role in the analysis of the data and the resulting mtDNA haplotypes. Further development of alignment software would be desirable to facilitate the application of NGS in mtDNA forensic genetics.This work leading to these results has received funding from the Austrian Science Fund (FWF) [P22880-B12] and [TRL397] and was financially supported from the European Union Seventh Framework Program (FP7/2007–2013) under grant agreement no. 285487 (EUROFORGEN-NoE). This work was further financially supported by the National Institute of Justice (NIJ) grant 2011-MU-MU-K402 and by the Foundation of Science and Technology Portugal (FCT) and Programa peracional Tema´ tico Factores de Competitividade (COMPETE), co-funded by the European Community Fund FEDER with the Project PTDC/CS-ANT/108558/2008 and also by the FCT fellowship SFRH/BD/63165/2009’’.http:// www.elsevier.com /locate/fsighb2014ay201

    Profiling of Mitochondrial DNA Heteroplasmy in a Prospective Oral Squamous Cell Carcinoma Study

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    While a shift in energy metabolism is essential to cancers, the knowledge about the involvement of the mitochondrial genome in tumorigenesis and progression in oral squamous cell carcinoma (OSCC) is still very limited. In this study, we evaluated 37 OSCC tumors and the corresponding benign mucosa tissue pairs by deep sequencing of the complete mitochondrial DNA (mtDNA). After extensive quality control, we identified 287 variants, 137 in tumor and 150 in benign samples exceeding the 1% threshold. Variant heteroplasmy levels were significantly increased in cancer compared to benign tissues (p = 0.0002). Furthermore, pairwise high heteroplasmy frequency difference variants (∆HF% &gt; 20) with potential functional impact were increased in the cancer tissues (p = 0.024). Fourteen mutations were identified in the protein-coding region, out of which thirteen were detected in cancer and only one in benign tissue. After eight years of follow-up, the risk of mortality was higher for patients who harbored at least one ∆HF% &gt; 20 variant in mtDNA protein-coding regions relative to those with no mutations (HR = 4.6, (95%CI = 1.3&ndash;17); p = 0.019 in primary tumor carriers). Haplogroup affiliation showed an impact on survival time, which however needs confirmation in a larger study. In conclusion, we observed a significantly higher accumulation of somatic mutations in the cancer tissues associated with a worse prognosis

    Accumulation of mutations over the entire mitochondrial genome of breast cancer cells obtained by tissue microdissection

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    International audienceThe occurrence of heteroplasmy and mixtures is technically challenging for the analysis of mitochondrial DNA. More than that, observed mutations need to be carefully interpreted in the light of the phylogeny as mitochondrial DNA is a uniparental marker reflecting human evolution. Earlier attempts to explain the role of mtDNA in cancerous tissues led to substantial confusion in medical genetics mainly due to the presentation of low sequence data quality and misinterpretation of mutations representing a particular haplogroup background rather than being cancer-specific. The focus of this study is to characterize the extent and level of mutations in breast cancer samples obtained by tissue microdissection by application of an evaluated full mtDNA genome sequencing protocol. We amplified and sequenced the complete mitochondrial genomes of microdissected breast cancer cells of 15 patients and compared the results to those obtained from paired non-cancerous breast tissue derived from the same patients. We observed differences in the heteroplasmic states of substitutions between cancerous and normal cells, one of which was affecting a position that has been previously reported in lung cancer and another one that has been identified in 16 epithelial ovarian tumors, possibly indicating functional relevance. In the coding region, we found full transitions in two cancerous mitochondrial genomes and 12 heteroplasmic substitutions as compared to the non-cancerous breast cells. We identified somatic mutations over the entire mtDNA of human breast cancer cells potentially impairing the mitochondrial OXPHOS system

    Implications of Standardized Uptake Values of Oral Squamous Cell Carcinoma in PET-CT on Prognosis, Tumor Characteristics and Mitochondrial DNA Heteroplasmy

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    Under aerobic conditions, some cancers switch to glycolysis to cover their energy requirements. Taking advantage of this process, functional imaging techniques such as PET-CT can be used to detect and assess tumorous tissues. The aim of this study was to investigate standardized uptake values and mitochondrial DNA mutations in oral squamous cell carcinoma. A cohort of 57 patients underwent 18[F]FDG-PET-CT and standardized uptake values were collected. In 15 patients, data on mitochondrial DNA mutations of the tumor were available. Kaplan–Meier curves were calculated, and correlation analyses as well as univariate Cox proportional hazard models were performed. Using ROC analysis to determine a statistical threshold for SUVmax in PET investigations, a cut-off value was determined at 9.765 MB/mL. Survival analysis for SUVmax in these groups showed a Hazard Ratio of 4 (95% CI 1.7–9) in the high SUVmax group with 5-year survival rates of 23.5% (p = 0.00042). For SUVmax and clinicopathological tumor features, significant correlations were found. A tendency towards higher mtDNA heteroplasmy levels in high SUVmax groups could be observed. We were able to confirm the prognostic value of SUVmax in OSCC, showing higher survival rates at lower SUVmax levels. Correlations between SUVmax and distinct tumor characteristics were highly significant, providing evidence that SUVmax may act as a reliable diagnostic parameter. Correlation analysis of mtDNA mutations suggests an influence on metabolic activity in OSCC
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