Transcriptomics

Dataset Information

0

Single-cell Multi-omics Sequencing and Analyses of Human Colorectal Cancer


ABSTRACT: Although genomic instability, epigenetic abnormality, and gene expression dysregulation are hallmarks of colorectal cancer, these features have not been simultaneously analyzed at single-cell resolution. Using optimized single-cell multi-omics sequencing together with multi-regional sampling of the primary tumor, lymphatic and distant metastases, we provide insights beyond intratumoral heterogeneity. Genome-wide DNA methylation levels were relatively consistent within a single genetic sub-lineage. The genome-wide DNA demethylation patterns of cancer cells were consistent in all 10 sequenced patients. Our work demonstrates the feasibility of reconstructing genetic lineages, and tracing their epigenomic and transcriptomic dynamics with single-cell multi-omics sequencing.

ORGANISM(S): Homo sapiens

PROVIDER: GSE97693 | GEO | 2018/11/29

REPOSITORIES: GEO

Similar Datasets

| EGAS00001003242 | EGA
2023-05-11 | GSE228530 | GEO
2023-07-20 | PXD043935 | iProX
2022-06-15 | E-MTAB-11264 | biostudies-arrayexpress
2023-03-24 | GSE218524 | GEO
2014-10-22 | E-GEOD-62588 | biostudies-arrayexpress
2014-11-19 | E-GEOD-63446 | biostudies-arrayexpress
2014-10-17 | E-GEOD-62402 | biostudies-arrayexpress
2023-03-24 | GSE218523 | GEO
| PRJEB50424 | ENA