Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1245074 | ENA |
REPOSITORIES: ENA
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Project description:To reveal the role of MCM8 in suppressing R-loop accumulation, we performed the CUT&TAG assay using the S9.6 antibody to map genome-wide R-loops in Mcm8 wildtype MEFs and Mcm8 knockout MEFs. We also conducted the CUT&TAG assay to detect genome-wide R-loops in Ddx5 downregulated MEFs by adenovirus infection and in control MEFs. To investigate the underlying molecular mechanism of MCM8 suppressing R-loops, we conducted the DNA sequencing of libraries from CUT&TAG assay using the antibody against FLAG in HEK293 cells transfected with FLAG-MCM8 plasmid and using the S9.6 antibody in HEK293 cells. Besides, an IgG control and control of RNH1 overexpression were included.
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Project description:To gain mechanistic insight into how Epigenetic factors reprogramming metabolism in response to DON treatment. we performed CUT&Tag sequencing in murine PDAC cells. sgPaxip1 cells were treated in Cont group or DON group , and harvested after 72 hours. CUT&Tag assay was performed following the manual of hyperactive pG-Tn5/pA-Tn5 transposase for CUT&Tag kit (TD901, Vazyme). DNA library were prepared according to manufacturer’s instructions of Trueprep index kit v2 (TD202, Vazyme).
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Project description:To gain mechanistic insight into how Epigenetic factors reprogramming metabolism in response to glutamine starvation. we performed CUT&Tag sequencing in murine PDAC cells. KPC1199 cells were treated in Cont group or Low Gln group , and harvested after 72 hours. CUT&Tag assay was performed following the manual of hyperactive pG-Tn5/pA-Tn5 transposase for CUT&Tag kit (TD901, Vazyme). DNA library were prepared according to manufacturer’s instructions of Trueprep index kit v2 (TD202, Vazyme).
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Project description:We performed the cleavage under targets and tagmentation (Cut & tag) assay followed by sequencing enriched DNA fragments to reveal the direct downstream targets of Pbx1. Firstly, we overexpressed Pbx1b with Pbx1b-IRES-GFP retrovirus in murine peripheral B cells to ensure the yields of DNA fragments. CUT & tag libraries were generated following instructions of the manufacturer’s protocol (Vazyme; cat TD901-01) and the Pbx1 antibody (CST; cat 4342) was used for signal enrichment.
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Project description:We developed scNanoSeq-CUT&Tag, a streamlined method by adapting a modified CUT&Tag protocol to Oxford Nanopore sequencing platform for efficient chromatin modification profiling at single-cell resolution. We firstly tested the performance of scNanoSeq-CUT&Tag on six human cell lines: K562, 293T, GM12878, HG002, H9, HFF1 and adult mouse blood cells, it showed that scNanoSeq-CUT&Tag can accurately distinguish different cell types in vitro and in vivo. Moreover, scNanoSeq-CUT&Tag enables to effectively map the allele-specific epigenomic modifications in the human genome andallows to analyze co-occupancy of histone modifications. Taking advantage of long-read sequencing,scNanoSeq-CUT&Tag can sensitively detect epigenomic state of repetitive elements. In addition, by applying scNanoSeq-CUT&Tag to testicular cells of adult mouse B6D2F1, we demonstrated that scNanoSeq-CUT&Tag maps dynamic epigenetic state changes during mouse spermatogenesis. Finally, we exploited the epigenetic changes of human leukemia cell line K562 during DNA demethylation, it showed that NanoSeq-CUT&Tag can capture H3K27ac signals changes along DNA demethylation. Overall, we prove that scNanoSeq-CUT&Tag is a valuable tool for efficiently probing chromatin state changes within individual cells.
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Project description:Chromatin profiling methods such as ChIP-seq, CUT&RUN, and CUT&Tag differ substantially in background structure, signal distribution, and resolution, complicating direct quantitative comparison across platforms. In this study, we systematically compared conventional and double-crosslink ChIP-seq, CUT&RUN, and CUT&Tag by profiling the Polycomb-associated histone modification H3K27me3 in human cardiomyocytes and the PRC2 catalytic subunit EZH2 in pluripotent stem cells. To enable cross-assay comparison, we developed a biologically informed normalization strategy based on stable Polycomb reference loci, allowing harmonization of signal scales while preserving assay-intrinsic signal architecture. This approach revealed that CUT&RUN preferentially captures broad H3K27me3 domains, whereas CUT&Tag provides sharper and more localized enrichment for both H3K27me3 and EZH2. Together, our results establish a practical framework for cross-platform epigenomic comparison and guide the selection of chromatin profiling strategies. This GEO submission includes only datasets newly generated in this study. Additional publicly available datasets analyzed for comparison are cited in the associated manuscript and were not re-submitted here.
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