Genome-scale analysis of aberrant DNA methylation in colorectal cancer
To characterize DNA methylation-based subgroups in colorectal cancer, we performed genome-scale DNA methylation profiling of 125 colorectal tumor samples and 29 histologically normal-adjacent colonic tissue samples using the Illumina Infinium DNA methylation assay, which assesses the DNA methylation status of 27,578 CpG sites located at the promoter regions of 14,495 protein-coding genes. We identified four DNA methylation-based subgroups of CRC using model-based cluster analyses. Each subtype s...
Provenance — who produced it, who reused it
Linked to 17 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Tissue of origin determines cancer-associated CpG island promote... 2012 · 201 cites
- The Dynamics and Prognostic Potential of DNA Methylation Changes... 2012 · 119 cites
- Genome-Scale Discovery of DNA-Methylation Biomarkers for Blood-B... 2012 · 111 cites
- Whole‐genome methylation analysis of benign and malignant colore... 2012 · 110 cites
- Modulation of Age- and Cancer-Associated DNA Methylation Change... 2014 · 84 cites
12 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently