BCL9/STAT3 Regulation Data Supporting DCIS Progression Research

Datasets gathered for a study investigating why some ductal carcinoma in situ lesions progress to invasive breast cancer. The data includes RNA sequencing, ChIP-Exo, and RPPA results from patient-derived xenograft models and cell lines. Hanan S. Elsarraj and colleagues used a novel intraductal model and a rosemary extract component to identify molecular drivers of progression.

Use Cases

• Analyze STAT3 target gene expression based on RNA sequencing data mentioned in the description
• Investigate transcription factor binding motifs based on ChIP-Exo data mentioned in the description
• Study protein-level pathway activation based on Reverse Phase Protein Array data mentioned in the description
• Model DCIS progression in vivo based on patient-derived xenograft model data mentioned in the description
• Evaluate therapeutic effects of natural compounds based on carnosic acid data mentioned in the description

Strengths

• Data is directly linked to a published scientific article, providing clear research context
• Includes multiple complementary data types: RNA-seq, ChIP-Exo, and RPPA
• Data underlying each manuscript figure is provided as separate, specific files

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Gene Expression Omnibus (GEO) under accessions GSE143790 and GSE143313

Collection Method

Generated from PDX DCIS MIND animal models, cell line models, and patient tissue samples.