Accession |
PRJCA003758 |
Title |
ChIP-seq by anti-PURα in KYSE510 cells |
Relevance |
Medical |
Data types |
ChIP-seq
|
Organisms |
Homo sapiens
|
Description |
We performed ChIP-seq in KYSE510 cells to indetify the motifs bound by PURα at a whole genome scale. After DNA immunoprecipitation and library preparation, the Illumina NextSeq 500 system was used for 151-nt paired-end sequencing in two biological replicates. For data processing, the raw reads obtained after sequencing were processed to obtain the filtered clean reads using FASTX toolkit which removes low quality (< 20) and short (<16nt) reads. The quality filtered reads were mapped to the human genome hg38 by Bowtie2. Enriched binding peaks were generated after filtering through control input by MACS14 (version 1.4) with default thresholds to identify significant PURα binding sites/peaks. Motif enrichment analysis was done using HOMER at default parameters. Generally, we obtatined a total of 56974 peaks and 2353 peak-associated genes, as wells as 72 known motifs and 26 novel motifs .This study gives a new sight into the binding motifs of PURα in ESCC cells. |
Sample scope |
Monoisolate |
Release date |
2021-07-02 |
Publication |
PubMed ID |
Article title |
Journal name |
DOI |
Year |
33142842
|
PURα Promotes the Transcriptional Activation of PCK2 in Oesophageal Squamous Cell Carcinoma Cells
|
Genes
|
10.3390/genes11111301
|
2020
|
|
Grants |
Agency |
program |
Grant ID |
Grant title |
National Natural Science Foundation of China (NSFC)
|
General Program
|
No.81572365
|
Study on the relationship between DNA/RNA binding protein PURA and esophageal Carcinogenesis
|
|
Submitter |
Xiaohang
Zhao (zhaoxh@cicams.ac.cn)
|
Organization |
Cancer Hospital, Chinese Academy of Medical Sciences |
Submission date |
2020-10-26 |