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

NIAID Data Ecosystem2026-05-02 收录

单细胞表观遗传学

染色质免疫沉淀测序

数据链接：

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE185619 数据链接链接失效反馈

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资源简介：

This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

应用场景：

创建时间：

2024-10-28

乳腺癌分子机制

染色质免疫沉淀测序

Purpose: discover the downstream pathways and the mechanism of target activation by the p53:Myc axis in normal mammary and cancer stem cells Methods: we performed ChIPseq experiments from NMuMG cells

NIAID Data Ecosystem30

ChIP-seq of GFP-tagged dCoREST, dLSD1, dL(3)mbt and dG9a in D. melanogaster S2 cell lines

染色质免疫沉淀测序

表观遗传调控

We employed CRISPR/Cas-mediated genome editing to generate S2 cell lines expressing GFP-tagged dCoREST, dL(3)mbt, dLSD1 and dG9a, respectively. This allowed us to determine the genome-wide binding pro

NIAID Data Ecosystem00

Context dependent function of transcriptional regulator Rap1 in gene silencing and activation [ChIPseq I]

转录调控机制

染色质免疫沉淀测序

As part of a study on the role of Rap1 at the promoters of HML and MAT in S cerevisiae, we endogenously tagged Rap1 with a 3xV5 tag and performed ChIPseq in a variety of genetic backgrounds including:

NIAID Data Ecosystem00

CryopreservedMouseBrainCellRanger1.2.0

单细胞表观遗传学

大鼠脑图谱

scATAC-seq dataset processed for inclusion in scATAC.Explorer R package. scATAC.Explorer is an R package containing a curated collection of publicly available scATAC-seq datasets that can easily be se

Figshare2021-07-27 更新00

Inferring tumor absolute copy number and clonal substructure from single-cell chromatin accessibility

肿瘤拷贝数推断

单细胞表观遗传学

This dataset is part of our project focusing on inferring absolute copy numbers and quantifying subclonal structures using single-cell ATAC-seq data. We employed two datasets. These datasets originate

Zenodo2026-06-02 更新00

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

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