Single cell 3' RNA sequencing of 23 Korean colorectal cancer patients
For the understanding intrinsic cancer cell signatures and the surrounding microenviroment, we provide single-cell 3' RNA sequencing dataon 63,689 cells from 23 CRC patients with 23 primary colorectal cancer and 10 matched normal mucosa samples. Analysis of primary colorectal cancer and normal mucosa samples depicts a comprehensive cellular landscape of colorectal cancer and potential cellular interaction, which would be a valuable resource for the development of therapeutic strategies.
Provenance — who produced it, who reused it
Linked to 77 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.
- Cancer-associated fibroblast classification in single-cell and s... 2023 · 364 cites
- Differential pre-malignant programs and microenvironment chart d... 2021 · 338 cites
- Tumour heterogeneity and intercellular networks of nasopharyngea... 2021 · 290 cites
- Colorectal Cancer‐Derived Small Extracellular Vesicles Promote T... 2022 · 241 cites
- Epigenomic landscape of human colorectal cancer unveils an aberr... 2021 · 116 cites
- Integrated multi-omics approach to distinct molecular characteri... 2023 · 77 cites
71 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.