Project description:DNA N6-methyladenine (6mA) is the most widespread type of DNA methylation in prokaryotes. However, the prevalence of 6mA in eukaryotes has recently been challenged due to the limitations of current 6mA detection techniques. Here, we present a chemical-based sequencing method, Nitrite-assisted Amino MEthylation sequencing (NAME-seq), for quantitative, whole-genome mapping of 6mA at single-base resolution. NAME-seq combines nitrite conversion of 6mA to nitrosylated-6mA (6mA-NO) with Klenow Fragment (3'→5' exo-) random priming to induce a 6mA-to-T transversion specifically. We apply NAME-seq to two bacterial species and show that, compared to SMRT-seq, NAME-seq results in a more specific and robust detection of 6mA. NAME-seq can also accurately map 6mA in the C. reinhardtii genome at single-base resolution. Additionally, we show that NAME-seq can be combined with conventional DIP-seq to detect 6mA in the Dam-methylated human genome with high specificity. Therefore, we further perform DIP-NAME-seq to profile 6mA in WT and TASOR KO K562 cell line and revealed that 6mA is enriched at specific motifs (HYYHAG and CACACA) and H3K9me3 regions. In summary, we demonstrate NAME-seq is a specific and sensitive sequencing method for quantitative 6mA mapping at single base resolution across different model organisms.
Project description:DNA N6-methyladenine (6mA) is the most widespread type of DNA methylation in prokaryotes. However, the prevalence of 6mA in eukaryotes has recently been challenged due to the limitations of current 6mA detection techniques. Here, we present a chemical-based sequencing method, Nitrite-assisted Amino MEthylation sequencing (NAME-seq), for quantitative, whole-genome mapping of 6mA at single-base resolution. NAME-seq combines nitrite conversion of 6mA to nitrosylated-6mA (6mA-NO) with Klenow Fragment (3'→5' exo-) random priming to induce a 6mA-to-T transversion specifically. We apply NAME-seq to two bacterial species and show that, compared to SMRT-seq, NAME-seq results in a more specific and robust detection of 6mA. NAME-seq can also accurately map 6mA in the C. reinhardtii genome at single-base resolution. Additionally, we show that NAME-seq can be combined with conventional DIP-seq to detect 6mA in the Dam-methylated human genome with high specificity. Therefore, we further perform DIP-NAME-seq to profile 6mA in WT and TASOR KO K562 cell line and revealed that 6mA is enriched at specific motifs (HYYHAG and CACACA) and H3K9me3 regions. In summary, we demonstrate NAME-seq is a specific and sensitive sequencing method for quantitative 6mA mapping at single base resolution across different model organisms.
Project description:In Candida albicans, we constructed two strains with deletions of mitochondrial genes, NUE1 and ALI1. Transcriptomes of the deletion strains as well as the parent were analyzed by RNA-Seq.
Project description:We characterized the metabolic and cardiac mitochondrial function in a mouse model of non-ischemic HF. Inhibition of nitric oxide synthesis and hypertension, which often present together, are two important risk factors in human non-ischemic HF. Compared with L-NAME L-NG-Nitroarginine methyl ester (L-NAME), an inhibitor of nitric oxide synthesis or Angiotensin II (AngII), a hypertensive agent treatment alone, L-NAME+AngII induced the most severe HF phenotype characterized by edema, hypertrophy, fibrosis, increased blood pressure and reduced ejection fractions. L-NAME+AngII treated mice had robust deterioration of cardiac mitochondrial function we observed. Microarray analyses revealed majority of the gene changes attributed to the combination of L-NAME+AngII. Pathway analyses indicated significant changes in metabolic pathways such as mitochondrial oxidative phosphorylation, fatty acid metabolism and tricarboxylic acid pathways etc.in L-NAME+AngII hearts. We conclude that combination of L-NAME+AngII exacerbates cardiac contractile and mitochondrial functional de-regulation compared with L-NAME and AngII alone, resulting in non-ischemic HF. This model of heart failure may be highly valuable in studying mechanisms and treatments for non-ischemic heart failure.
Project description:Reconstructing lineage relationships in complex tissues can reveal mechanisms underlying development and disease. Recent methods combine single-cell transcriptomics with mitochondrial DNA variant detection to establish lineage relationships in primary human cells, but are not scalable to interrogate complex tissues. To overcome this limitation, here we develop a technology for high-confidence detection of mitochondrial mutations from high-throughput single-cell RNA-sequencing. We use the new method to identify skewed immune cell expansions in primary human clonal hematopoiesis.