Breast Cancer Single-Cell RNA-Seq Data for Lactylation Analysis

26 single-cell RNA sequencing samples comprising 98,572 cells from ER+, HER2+, and triple-negative breast cancer subtypes. Jiaxin Chen published this data on figshare in 2026 to investigate lactylation-mediated remodelling of the tumour microenvironment. The dataset supports a 14-gene prognostic model validated across multiple cohorts.

Use Cases

• Analyze cell-type-specific lactylation-associated transcriptional activity based on the described module score.
• Investigate epithelial-fibroblast-myeloid communication networks based on the described single-cell analysis.
• Validate the 14-gene prognostic signature for breast cancer risk stratification based on the described model construction.
• Explore associations between lactylation scores and immune infiltration patterns described in the results.

Strengths

• Integrates 26 scRNA-seq samples spanning three major breast cancer subtypes.
• Contains 98,572 cells for single-cell multidimensional analysis.
• Includes a 14-gene prognostic model validated in TCGA-BRCA, GSE20685, and METABRIC cohorts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The lactylation score is an indirect surrogate rather than a direct measurement of lactylation itself, as noted by the authors.

Provenance

Source

figshare

Collection Method

Integrated single-cell RNA sequencing analysis from multiple breast cancer samples.

Freshness

Last updated 2026-05-13 04:44:12; freshness should be verified.