Dataset for: Metabolic Reprogramming of Tumor-Associated Macrophage Clusters in Ovarian Cancer

This dataset supports the findings in the manuscript "Metabolic Reprogramming of Tumor-Associated Macrophage Clusters in Ovarian Cancer: A Single-Cell Transcriptomic Analysis and Prognostic Model".

The release contains three files:

• MPC.qs: MPC subclustering object (9 clusters)
• list_human.qs: SingleR reference database for cell annotation
• RNA.rar: Compressed version of the integrated single-cell Seurat object (original RNA.qs, 2.26GB compressed to 1.99GB)

Purpose: The complex tumor microenvironment (TME) in ovarian cancer (OC), particularly the role of macrophage clusters, plays a pivotal role in driving cancer progression and determining patient prognosis. Metabolic reprogramming is a hallmark of tumorigenesis and is crucial in reshaping the TME and driving tumor progression.

Methods: Through a comprehensive single-cell RNA sequencing analysis of macrophage clusters in OC, this study integrated data from four independent datasets and identified hypermetabolic subpopulations within nine distinct mononuclear phagocyte clusters.

Results: The identified clusters were notably enriched in pathways related to the TCA cycle, glycolysis, and HIF-1 signaling, which are closely linked to tumor invasiveness and immune modulation.

Conclusions: Our findings reveal strong associations between metabolic reprogramming in tumor-associated macrophages and OC progression, suggesting their potential importance in shaping the TME.

Note: The RNA.rar file was compressed with WinRAR. After download, extract it using WinRAR or any compatible software to obtain the original RNA.qs file (2.26GB).