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Series GSE240822 Query DataSets for GSE240822
Status Public on Aug 15, 2023
Title Epigenetic regulation during cancer transitions across 11 tumour types.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary Chromatin accessibility plays an essential role in regulating gene expression and cellular identity, and its alterations have been implicated in driving oncogenic processes such as cancer initiation, progression, and metastasis1–4. While genetic aspects of cancer transitions have been explored, the role of epigenetic drivers remains less understood. To investigate the influence of chromatin architecture on cancer transitions, we generated an atlas of single-nucleus chromatin accessibility data (snATAC-seq) from 225 samples and matched single-cell/single-nucleus RNA expression (sc/snRNA-seq) from 206 samples across 11 cancer types. Analyzing over 1 million cells, we identified pan-cancer epigenetic drivers and transcriptional programs associated with transitions (regulatory regions of ABCC1, VEGFA, and GATA6, KLF6 and FOX-family TFs), as well as cancer type specific programs (regulatory regions of FGF19, ASAP2, EN1 and PBX3 TF). Differentially-accessible chromatin regions pinpointed genes and enriched pathways associated with major cancer transitions. For example, TP53, hypoxia, and TNFA signaling were linked to cancer initiation, while estrogen response, epithelial-mesenchymal transition (EMT), myogenesis, and apical junction were linked to metastatic transition. We also observed correlations between regulatory regions and genetic drivers across cancer types, suggesting their cooperation in cancer transition programs. This atlas furnishes a valuable resource for further investigation of the role of epigenetic programs in cancer initiation, progression, and metastasis.
 
Overall design Data includes snATAC-seq and snRNA-seq for 24 clear cell renal carcinoma samples, 4 normal kidney samples, 18 glioblastoma samples from the Clinical Proteomic Tumor Analysis Consortium (CPTAC)

***Will submit raw data files to either GDC or CDS***
Web link http://10.1038/s41586-023-06682-5
 
Contributor(s) Ding L, Karpova A
Citation(s) 37914932
Submission date Aug 14, 2023
Last update date Dec 06, 2023
Contact name Alla Karpova
E-mail(s) a.karpova@wustl.edu
Organization name Washington University St Louis
Lab Li Ding Lab
Street address 700 Rosedale avenue Campus Box 1000
City St Louis
State/province MO
ZIP/Postal code 63110
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (91)
GSM7710003 C3N-00663_CPT0087730015_snRNA_GBM
GSM7710004 C3N-01518_CPT0167640014_snRNA_GBM
GSM7710005 C3N-01818_CPT0168270014_snRNA_GBM
Relations
BioProject PRJNA1005321

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
GSE240822_GBM_ccRCC_ATAC_UMAPs.tsv.gz 7.1 Mb (ftp)(http) TSV
GSE240822_GBM_ccRCC_ATAC_metadata_CPTAC_samples.tsv.gz 2.6 Mb (ftp)(http) TSV
GSE240822_GBM_ccRCC_RNA_UMAPs.tsv.gz 9.5 Mb (ftp)(http) TSV
GSE240822_GBM_ccRCC_RNA_metadata_CPTAC_samples.tsv.gz 3.6 Mb (ftp)(http) TSV
GSE240822_RAW.tar 80.5 Gb (http)(custom) TAR (of TAR)
GSE240822_ccRCC_ATAC_normal_epithelial_cell_type_detailed.tsv.gz 132.9 Kb (ftp)(http) TSV
GSE240822_ccRCC_RNA_normal_epithelial_cell_type_detailed.tsv.gz 88.0 Kb (ftp)(http) TSV
Raw data not provided for this record
Processed data provided as supplementary file

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