← BioTransfer GEO Dataset Finder
GEO series

2cChIP-seq: an efficient and reliable method for epigenomic profiling of small cell numbers and single cells [2cChIP-seq and 2cMeDIP-seq]

GSE173281 Homo sapiens; Mus musculus Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing 34 samples 2024/10/27 GPL20795GPL21273
Summary
We developed a new technique by supplementing carrier materials of both chemically modified mimics with epigenetic marks and dUTP-containing DNA fragments during ChIP procedures (thereafter referred to as 2cChIP-seq), dramatically improving immunoprecipitation efficiency and reducing sample loss. Using this strategy, we generated high-quality epigenomic profiles of histone modifications or DNA methylation in 10–1,000 cells. Moreover, 2cChIP-seq reliably captured genomic regions with histone modification at single-cell level. Lastly, we characterized the methylome of differentiated female germline stem cells (FGSCs) with this approach. Through comparing the DNA methylation patterns of the undifferentiated and differentiated FGSCs, we observed a particular DNA methylation signature potentially involved in differentiation of mouse germline stem cells. Hence, we provided a reliable and robust epigenomic profiling approach for small cell numbers and single cells.
Download
NCBI GEO page ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more ChIP / ATAC / CUT&Tag datasets →
Similar datasets

Search all ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.