USP54 in PDAC: Multi-omics and Experimental Validation Data

A dataset supporting a study that identified the deubiquitinase USP54 as a prognostic factor in pancreatic ductal adenocarcinoma. The data likely contains results from bulk transcriptomics, single-cell RNA sequencing, spatial transcriptomics, and experimental validation assays. The dataset was authored by Zibo Yuan and last updated on March 18, 2026.

Use Cases

• Validate prognostic models for pancreatic cancer based on deubiquitinase activity scores.
• Analyze cell-cell communication networks within the tumor microenvironment based on inferred ligand-receptor pairs like THBS1-integrin.
• Investigate the co-localization of gene expression, pathway activity, and immune cell niches using spatial transcriptomic data.
• Correlate USP54 expression levels with patient survival outcomes from clinical data.

Strengths

• Integrates multiple data modalities including bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics.
• Includes experimental validation data from in vitro and in vivo assays on two cell lines (BxPC-3 and PANC-1).
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 3.4 MB file size suggests the dataset is relatively small, potentially containing summary results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Data generated through an integrative multi-omics strategy combining machine learning on transcriptomic data, single-cell and spatial sequencing, and experimental validation.

Freshness

Last updated 2026-03-18 06:56:41; freshness should be verified.