Osteosarcoma Single-Cell Transcriptomics with Prognostic Gene Signatures

A bioinformatics analysis integrating single-cell and multi-cohort transcriptomic data to map intratumoral heterogeneity in osteosarcoma. The dataset, created by Xuesong Li and last updated in 2026, identifies malignant cell subtypes and a 10-gene prognostic risk model, highlighting CKMT2 as a key biomarker. The underlying data was sourced from public repositories and validated through clinical and functional assays.

Use Cases

• Training prognostic models based on the identified 10-gene signature.
• Analyzing tumor immune infiltration patterns based on the defined molecular subtypes.
• Investigating the role of CKMT2 in osteosarcoma cell proliferation and colony formation.
• Comparing malignant osteoblastic cell subtypes based on inferred copy number variation.

Strengths

• Analysis is validated across multiple independent patient cohorts.
• Findings are supported by in vitro functional assays and immunohistochemistry.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• The 358.4 KB file size suggests the dataset is a summary or results table, not the raw sequencing data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Xuesong Li.

Collection Method

Integrated single-cell and bulk transcriptomic data from public repositories, analyzed via a bioinformatics pipeline and machine learning.

Freshness

Last updated 2026-05-26 09:03:41; freshness should be verified.