Project description:To investigate genome-wide R-loops during meiosis exit and R-loop profiles changes with Nkapl knockout, we employed ssDRIP-seq (single-strand DNA ligation-based library preparation after DNA:RNA hybrid immunoprecipitation by S9.6 and sequencing) in wild-type and Nkapl-KO testes at P21.
Project description:G-quadruplex (G4) are four‑stranded DNA secondary structures that form in guanine‑rich regions of the genome, which can enhance or repress gene expression. An R-loop is a special triple-stranded nucleic acid structure formed when nascent RNA invades double-stranded DNA (dsDNA) during transcription. G-loops are constituted by one or more DNA G4 on one strand and a stable RNA/DNA hybrid on the other. We developed the HepG4-seq for mapping the native G4s and the HBD-seq for mapping native R-loops. We combined the HepG4-seq and HBD-seq to profile the genomic native G-loops, which are regions co-occupied by both native G4s and R-loops, in both HEK293 cells and mouse embryonic stem cells (mESCs).
Project description:R-Loops are unique RNA-containing chromatin structures, which participate in various key biological processes and associate with multiple human diseases. Accurately and comprehensively profiling R-Loops in the genome is crucial to study their functions under the physiological and pathological conditions. However, the existing methodologies have produced broad discrepancies in R-Loop profiling and an independent strategy is urgently needed. Here, we constructed an artificial DNA-RNA hybrid recognition sensor protein GST-His6-2XHBD with the hybrid-binding domain of RNase H1, and found GST-His6-2XHBD could specifically interact with DNA-RNA hybrids and behaves similarly to the anti-DNA-RNA hybrid S9.6 antibody in DRIPc-seq. Furthermore, we established a convenient method, R-loop CUT&Tag, by combination of GST-His6-2XHBD with a Tn5-based cleavage under targets and tagmentation approach. R-Loop CUT&Tag generates highly specific signals for native R-Loops, and can sensitively detect the R-Loop signals at the promoter, genebody and enhancer. R-Loop CUT&Tag also provides possibilities to genome-widely map the native R-Loops with limited materials, and may benefit the resolving of the broad discrepancies between multiple R-Loop mapping methods.
Project description:We elucidated the genome-wide landscape of RNA:DNA hybrid structures called "R-loops" in primary neural stem/progenitor cells to assess their contribution to recurrent classes of DNA break "hotspots".
Project description:Hepatosteatosis underlies several diseases including type 2 diabetes, cardiovascular disease and liver disease. Unfortunately, our understanding of the contributing pathways that initiate and advance hepatosteatosis to subsequent complications is still poorly understood. Here, we take advantage of recent developments in “omics” technologies to perform high resolution proteomics (>5000 proteins) and quantitative lipidomics (>300 lipids) on livers from 107 genetically diverse inbred mouse strains from the hybrid mouse diversity panel. Integration of these data allowed us to define novel regulators of lipid metabolism in the liver.
Project description:Understand mitochondrial DNA polymerase mutated in context of liver/orgfan/cell function. Resulting in mitochondrial proteome landscape shift, DNA mutation and instability. Impact metabolic phenotype in the POLG mutant mouse
