Integrative Whole-Exome and Transcriptome Data for Endometriosis Invasion Program Analysis

643.8 MB of integrative whole-exome and RNA sequencing data profiling an invasion-like program in endometriosis. The dataset was authored by Qiming Wang and last updated on June 4, 2026. It supports the functional dependence of this program on PI3K/AKT signaling.

Use Cases

• Identify coordinated gene expression signatures for invasion based on the described 'motility–adhesion–cytoskeleton' program.
• Validate PI3K/AKT pathway dependency in endometriosis using integrated genomic and transcriptomic data.
• Discover potential therapeutic targets for anti-invasive strategies based on the mechanistically grounded findings.
• Perform integrative analysis to correlate genomic variants with transcriptomic changes in endometriosis samples.

Strengths

• Integrates two data modalities (whole-exome and RNA sequencing) for a multi-omics view.
• The 643.8 MB size suggests a dataset of substantial depth for analysis.
• Explicitly links a discovered molecular program to a specific signaling pathway (PI3K/AKT).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Sample provenance and collection methodology are not detailed in the provided metadata.

Provenance

Source

figshare

Collection Method

Integrative whole-exome and RNA sequencing profiling.

Freshness

Last updated 2026-06-04 09:02:23; freshness should be verified.