Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

CUT&Tag-seq Assays in Healthy and Cancerous Liver Cells

ABSTRACT: We performed CUT&Tag-seq assays for KDM1A using the healthy liver cell lines (THLE2, THLE3) and HCC cell lines (HepG2, Huh7).

ORGANISM(S): Homo sapiens

PROVIDER: GSE255640 | GEO | 2024/05/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

ATAC-seq Assays in Healthy and Cancerous Liver Cells

Project description:We performed ATAC-seq assays using the healthy liver cell lines (THLE2, THLE3) and HCC cell lines (HepG2, Huh7).

2024-05-31 | GSE255639 | GEO

Bulk Cut&run and Cut&tag

Project description:Bulk Cut&run and Cut&tag

| PRJNA686390 | ENA

scNanoSeq-CUT&Tag: a long-read single-cell CUT&Tag sequencing method for efficient chromatin modification profiling within individual cells

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

CUT&TAG of OE19 cell line

Project description:To map the chromatin binding sites for SMC1 in OE19 cells, we performed CUT&TAG.

2024-09-25 | E-MTAB-14090 | biostudies-arrayexpress

CUT&TAG of OE19 cell line

Project description:To map the chromatin binding sites for various factors in OE19 cells, we performed CUT&TAG.

2023-02-24 | E-MTAB-11356 | biostudies-arrayexpress

CUT-TAG for AML cell lines

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to explore CUT-TAG results in AML cell lines.

2023-10-30 | GSE246200 | GEO

Cut&Tag of ZGA staged embryos

Project description:Cut&Tag of ZGA staged embryos

| PRJNA724739 | ENA

Cut&Tag of GLI3 binding during early organoid development

Project description:To investigate GLI3 TF targets during organoid fate decisions, we performed Cut&Tag of GLI3 binding

2022-08-28 | E-MTAB-12006 | biostudies-arrayexpress

HCT116_SMARCA4 CUT&Tag

Project description:To investigate the enrichment of SMARCA4-R1157W mutation on downstream target gene promoters, we performed CUT&Tag experiments in HCT116 cells.

2022-09-04 | GSE212334 | GEO

CUT&Tag of mouse primary B cells transduced Pbx1 overexpression plasmid.

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.

2023-03-26 | E-MTAB-12769 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data