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Series GSE130140 Query DataSets for GSE130140
Status Public on Aug 19, 2020
Title Cancer-specific CTCF binding facilitates oncogenic transcriptional dysregulation
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Other
Methylation profiling by high throughput sequencing
Summary The three-dimensional genome organization is critical for gene regulation and can malfunction in diseases like cancer. As a key regulator of genome organization, CCCTC-binding factor (CTCF) has been characterized as a DNA-binding protein with important functions in maintaining the topological structure of chromatin and inducing DNA looping. Among the prolific binding sites in the genome, several events with altered CTCF occupancy have been reported as associated with effects in physiology or disease. However, hitherto there is no comprehensive survey of genome-wide CTCF binding patterns across different human cancers. To dissect functions of CTCF binding, we systematically analyze over 700 CTCF ChIP-seq profiles across human tissues and cancers and identify cancer-specific CTCF binding patterns in six cancer types. We show that cancer-specific lost and gained CTCF binding events are associated with altered chromatin interactions, partially with DNA methylation changes, and rarely with sequence mutations. While lost bindings primarily occur near gene promoters, most gained CTCF binding events exhibit enhancer activities and are induced by oncogenic transcription factors. We validate these findings in T-cell acute lymphoblastic leukemia cell lines and patient samples and show that oncogenic NOTCH1 induces specific CTCF binding and they cooperatively activate expression of target genes, indicating transcriptional condensation phenomena. Our results substantiate CTCF binding alteration as a functional epigenomic signature of cancer.
 
Overall design We collected a total of 793 CTCF ChIP-seq datasets, including 787 public datasets and 6 datasets we generated. 771 CTCF ChIP-seq datasets with peaks more than 2,000 were used in this study. We identified specific CTCF binding patterns in six distinct cancer types, including T-cell acute lymphoblastic leukemia (T-ALL), acute myeloid leukemia (AML), breast cancer (BRCA), colorectal cancer (CRC), lung cancer (LUAD) and prostate cancer (PRAD). We characterized a series of genomic and epigenomic features of cancer-specific CTCF binding events using multi-omics profiling techniques including WGS, TF and histone modification ChIP-seq, RNA-seq, ATAC-seq, bisulfite sequencing, and in situ Hi-C.
 
Contributor(s) Fang C, Wang Z, Ntziachristos P, Zang C
Citation(s) 32933554
Submission date Apr 22, 2019
Last update date Sep 23, 2021
Contact name Zhenjia Wang
Organization name University of Virginia
Department Center for Public Health Genomics
Street address 1300 Jefferson Park Avenue
City Charlottesville
State/province VIRGINIA
ZIP/Postal code 22908
Country USA
 
Platforms (2)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (92)
GSM3732717 RNAseq_Tcell_rep1
GSM3732718 RNAseq_Tcell_rep2
GSM3732719 RNAseq_Tcell_rep3
Relations
BioProject PRJNA534089
SRA SRP193344

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE130140_RAW.tar 9.5 Gb (http)(custom) TAR (of BED, BW, COV, MATRIX, NARROWPEAK, SF, TAR, TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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