Hub Genes in NILM: Transcriptomic Profiles of 132 HPV-Positive Cervical Smears

Transcriptomic profiling data from 132 HPV-positive cervical Pap Smear specimens across four cytological stages (NILM, ASCUS, LSIL, HSIL). The dataset, authored by Mohamad Ammar Ayass and shared on figshare, integrates HPV genotyping and E6/E7 mRNA quantification to map molecular progression. It was last updated on March 19, 2026.

Use Cases

• Identify stage-specific gene expression signatures based on the described profiles for NILM, ASCUS, LSIL, and HSIL.
• Validate associations between E6/E7 mRNA levels and lesion severity mentioned in the description.
• Analyze pathway crosstalk and molecular discontinuity during malignant transformation as highlighted in the study.

Strengths

• Integrates multiple data types: transcriptomics, HPV genotyping, and E6/E7 mRNA quantification for 132 specimens.
• Focuses on four distinct cytological stages, enabling comparative analysis of progression.
• Dataset is openly shared under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is very small at 15.6 KB, indicating a limited scope of data points.

Provenance

Source

figshare, author Mohamad Ammar Ayass.

Collection Method

Integrative transcriptomic profiling of clinical Pap Smear specimens, combining HPV genotyping and E6/E7 mRNA quantification.

Freshness

Last updated 2026-03-19 17:41:17.