Gene Expression in Stem Cell Activation for Uterine Leiomyomas and Myometrium
by Paula Vázquez·Updated 1mo ago
2.5 MB1files
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Description
A 2.5 MB document by Paula Vázquez, last updated in April 2026, licensed under CC-BY-4.0. It describes a study comparing gene expression programs in normal myometrial and MED12-mutant leiomyoma stem cells during long-term organ culture. The research identifies transcriptional signatures related to metabolic, fibrotic, vascular, and immune dysregulation.
Use Cases
Identify therapeutic targets based on profibrotic signaling pathways like TGFB and KLF regulators.
Study metabolic reprogramming in tumors based on signatures like low-PLIN2/high-ACLY and complex carbohydrate degradation.
Analyze stem cell activation and differentiation based on programs involving HMGA1, HMGA2, PLAG1, and KITLG/KIT expression.
Investigate extracellular matrix remodeling based on differential HOX gene expression and integrin upregulation.
Strengths
Provides a detailed molecular analysis of a specific disease model (uterine leiomyomas) using organ culture.
Identifies specific dysregulated pathways and genes (e.g., HMGA1, HMGA2, PLAG1, TGFB-regulated genes).
The document is openly licensed under CC-BY-4.0, facilitating reuse.
Limitations
The primary data file is a DOCX document; the underlying structured gene expression data (e.g., columnar data) is not directly available.
Row count and column-level documentation are unknown, limiting suitability assessment for direct computational analysis.
Description metadata is limited; actual data quality and format require manual inspection after download.
Provenance
Source
figshare
Collection Method
Gene expression analysis from organ cultures of myometrium and leiomyoma tissues.
Time Range
Study period not specified; document last updated in 2026.
Freshness
Last updated 2026-04-22 05:36:05; freshness should be verified.
Geography
Geographic origin of samples not specified.
The dataset is a research document (DOCX); users seeking raw gene expression matrices or tabular data may need to contact the author.