Single-Cell RNA-Seq Atlas of Lynch Syndrome Colorectal Cancer Transition

Single-cell and single-nuclear RNA sequencing data from paired carcinoma and para-carcinoma biopsy samples of 3 Lynch Syndrome patients, analyzed alongside public data from healthy controls and sporadic colorectal cancer patients. The dataset, authored by Junfeng Xu and shared under CC-BY-4.0, provides a transcriptomic resource for studying malignant transition. It was last updated on May 25, 2026.

Use Cases

• Identify cancer stem cell biomarkers based on the expression of CEACAM5, BACE2, GPRC5A, and OLFM4 mentioned in the results.
• Analyze tumor immune cell infiltration and activation pathways described in the single-cell atlas.
• Compare mutation burden and DNA repair activity between Lynch Syndrome, healthy, and sporadic cancer samples as outlined in the study.
• Validate proposed key markers for malignant transition using the described immuno-histo-fluorescence staining results.

Strengths

• Includes paired samples from 3 patients (carcinoma vs. para-carcinoma), enabling within-patient comparisons.
• Integrates public data from healthy controls and sporadic colorectal cancer patients for broader context.
• Data is shared under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 1.0 MB PDF, which may contain processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Single-cell and single-nuclear RNA sequencing of patient biopsies, supplemented by public data downloads.

Freshness

Last updated 2026-05-25 06:04:51; freshness should be verified.