Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24955600_1.fastq.gz | Fastqsanger.gz | |||
| SRR24955600_2.fastq.gz | Fastqsanger.gz | |||
| SRR24955601_1.fastq.gz | Fastqsanger.gz | |||
| SRR24955601_2.fastq.gz | Fastqsanger.gz | |||
| SRR24955602_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:In order to determine that CUT&Tag is similar to known DUX ChIP-seq, we performed CUT&Tag with a mCherry-tagged DUX (with the mCherry antibody). Once confirmed, we pewrformed CUT&Tag for other DUX derivatives with their mCherry tag Then, we performed CUT&Tag for H3K9ac, which is known to globally increase in 2-cell-like cells, which occurs after DUX expression, and CUT&Tag for SMARCC1, a subunit of the SWI/SNF complex
2023-08-07 | GSE224297 | GEO
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.
2024-09-06 | GSE249799 | GEO
Project description:Cleavage Under Targets & Tagmentation (CUT&Tag) is a versatile method for measuring genomic occupancy of chromatin-associated proteins with high sensitivity and specificity. CUT&Tag has low sequencing requirements and is therefore suitable for highly multiplexed experiments, but methods to process samples at throughput without specialized equipment are lacking. Here we present a method for simultaneous parallel processing of 96 CUT&Tag samples in a standard microplate. Plate-CUT&Tag can be carried out in a similar time frame to benchtop CUT&Tag and yields data of comparable quality. We present data from cell culture and patient leukemia samples processed with Plate-CUT&Tag to illustrate its utility in large-scale preclinical and translational studies.
2025-09-18 | GSE308505 | GEO
Project description:This study aimed to adapt CUT&Tag to Plasmodium falciparum samples as an efficient and sensitive alternative to classical ChIP-sequencing. We compare H3K9me3 and HP1 CUT&Tag with ChIP-seq datasets, showing successful establishment of CUT&Tag in P. falciparum. Next we aimed to scale down required input material for our CUT&Tag reactions and generated high-quality HP1 tracks with as little as 10.000 nuclei. To minimise potential sample loss we tested feasibility of utilising (frozen) saponin parasite isolates as input material instead of nuclei, which proved to be viable. Lastly, we deployed our new technique Dimerisation-induced Biotinylation-CUT&Tag (DiBioCUT&Tag) to catch transient interactions by biotinylation of strongly associated proteins such as histones. We tested this technique on HP1 and compared standart CUT&Tag with DiBioCUT&Tag. Furthermore, we explored interactions of the transcription factor BDP5, which we were previously unable to succesfully ChIP.
2024-06-27 | GSE270104 | GEO
Project description:Chromatin-protein interactions are fundamental for the regulation of gene transcription. While ChIP-seq has long been the standard method for mapping these interactions, emerging techniques such as CUT&RUN and CUT&Tag, which offer advantages including low input requirements and high signal-to-noise ratios, have garnered attention. However, these enzyme-based tagmentation approaches may introduce potential biases, and comparative assessment with ChIP-seq remain absent. This study aims to systematically evaluate and compare the performance of ChIP-seq, CUT&Tag, and CUT&RUN for profiling genome-wide transcription factors and histone modifications binding. This study provides a comprehensive evaluation of ChIP-seq, CUT&Tag, and CUT&RUN for detecting active and repressive histone modifications as well as transcription factor binding. Our results show that all three methods reliably detect histone modifications and transcription factor enrichment, with CUT&Tag demonstrating a relatively higher signal-to-noise ratio. Rigorous peak comparison analysis identified differential enrichment sites detected by the three methods. Additionally, we observed a notable correlation between CUT&Tag signal intensity and chromatin accessibility, suggesting the potential for CUT&Tag to detect regions of active chromatin.
2025-05-13 | GSE286751 | GEO
Project description:Precise profiling of epigenomes, including histone modifications and transcription factor binding sites, is essential for better understanding gene regulatory mechanisms. Cleavage Under Targets & Tagmentation (CUT&Tag) is an easy and low-cost epigenomic profiling method that can be performed on a low number of cells and at the single-cell level. A large number of CUT&Tag datasets have been generated in various biological systems, providing a valuable resource. CUT&Tag experiments use the hyperactive transposase Tn5 for tagmentation. We found that the preference of Tn5 captured reads toward accessible chromatin regions can influence the distribution of CUT&Tag reads and cause open chromatin biases, further confounding the analysis of CUT&Tag data. The high sparsity of single-cell sequencing data makes the open chromatin biases more substantial than in bulk sequencing data. Here, we present a comprehensive computational method, PATTY (Propensity Analyzer for Tn5 Transposase Yielded bias), to mitigate the open chromatin bias inherent in CUT&Tag data at both bulk and single-cell levels. By integrating existing transcriptome and epigenome data using machine learning and comprehensive modeling, we demonstrate that PATTY yields more accurate and robust detection of occupancy sites for both active and repressive histone marks than existing methods, with experimental validation. We further designed a single-cell CUT&Tag analysis framework by utilizing this model and showing improved cell clustering from bias-corrected single-cell CUT&Tag data compared to using raw data. This model paved the way for further development of computational tools for improving bulk and single-cell CUT&Tag data analysis.
2026-02-06 | GSE298565 | GEO
Project description:Conventional chromatin profiling techniques are often limited by antibody availability and performance. Here, we introduce Af-CUT&Tag, a target antibody-free method that overcomes these limitations by using CRISPR-integrated peptide tags (HiBiT/ALFA-tag) recognized by engineered binders (LgBiT/NbALFA) fused to a Tn5 transposase. Af-CUT&Tag eliminates dependence on traditional target antibodies, achieving robust specificity and sensitivity with as few as 500 cells. It provides high-quality chromatin profiles, with improved signal-to-noise ratios and library quality compared with conventional antibody-based counterparts, while also enabling single-cell resolution (scAf-CUT&Tag). Applying Af-CUT&Tag to Hippo effectors (YAP1/TAZ) during liver regeneration revealed dynamic chromatin remodeling, including YAP1/TAZ-mediated control of lipid metabolism (e.g., Lpin1, Fasn) and heme clearance (Hpx, Trf). We further identify miR-122 as a critical regulator of these processes, impacting liver regeneration. The versatility of Af-CUT&Tag in cell lines, bulk tissues, and single nuclei establishes it as a powerful tool for studying gene regulation in development, disease, and regeneration. Keywords: Antibody-Free CUT&Tag; Chromatin Binding; Epigenetic Profiling; Peptide-binder; Single-cell analysis
2024-12-15 | GSE283706 | GEO
Project description:Conventional chromatin profiling techniques are often limited by antibody availability and performance. Here, we introduce Af-CUT&Tag, a target antibody-free method that overcomes these limitations by using CRISPR-integrated peptide tags (HiBiT/ALFA-tag) recognized by engineered binders (LgBiT/NbALFA) fused to a Tn5 transposase. Af-CUT&Tag eliminates dependence on traditional target antibodies, achieving robust specificity and sensitivity with as few as 500 cells. It provides high-quality chromatin profiles, with improved signal-to-noise ratios and library quality compared with conventional antibody-based counterparts, while also enabling single-cell resolution (scAf-CUT&Tag). Applying Af-CUT&Tag to Hippo effectors (YAP1/TAZ) during liver regeneration revealed dynamic chromatin remodeling, including YAP1/TAZ-mediated control of lipid metabolism (e.g., Lpin1, Fasn) and heme clearance (Hpx, Trf). We further identify miR-122 as a critical regulator of these processes, impacting liver regeneration. The versatility of Af-CUT&Tag in cell lines, bulk tissues, and single nuclei establishes it as a powerful tool for studying gene regulation in development, disease, and regeneration. Keywords: Antibody-Free CUT&Tag; Chromatin Binding; Epigenetic Profiling; Peptide-binder; Single-cell analysis
2024-12-15 | GSE283705 | GEO
Project description:We recently introduced CUT&Tag, an epigenomic profiling strategy in which antibodies are bound to chromatin proteins in situ in permeabilized nuclei, and then used to tether the cut-and-paste transposase Tn5. Activation of the transposase simultaneously cleaves DNA and adds DNA sequencing adapters (“tagmentation”) for paired-end DNA sequencing. Here, we introduce a streamlined CUT&Tag protocol that suppresses exposure artifacts to ensure high-fidelity mapping of the antibody-targeted protein and improves signal-to-noise over current chromatin profiling methods. Streamlined CUT&Tag can be performed in a single PCR tube from cells to amplified libraries, providing low-cost high-resolution genome-wide chromatin maps. By simplifying library preparation, CUT&Tag requires less than a day at the bench from live cells to sequencing-ready barcoded libraries. Because of low background levels, barcoded and pooled CUT&Tag libraries can be sequenced for ~$25 per sample, enabling routine genome-wide profiling of chromatin proteins and modifications that requires no special skills or equipment.
2020-07-15 | GSE145187 | GEO
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).
2025-03-05 | GSE246545 | GEO