Project description:Pelvic organ prolapse (POP) is a common multifactorial disease in a heterogeneous population of women. Due to this heterogeneity, the underlying molecular mechanisms contributing to the pathogenesis of POP are still unclear. We sought to identify dysregulated pathways by comparing gene expression profiles of prolapsed and non- prolapsed anterior vaginal wall tissue within the same patient. Biopsies were collected from 12 premenopausal women undergoing prolapse surgery (cystocele POP-Q stage ≥ 2). A full thickness anterior vaginal wall sample was taken from the POP site during anterior colporrhaphy. An additional sample was taken from the non-prolapsed apex of the anterior vaginal cuff. Micro-array analysis was performed using whole genome GE 4x44K microarrays. Beside a significance analysis of micro-array (SAM), also a visual cluster analysis was performed. 12 women with POP: 12 biopsies anterior vaginal wall (POP site) versus 12 biopies precervical anterior vaginal wall ( non POP site)
Project description:Pelvic organ prolapse (POP) is a common multifactorial disease in a heterogeneous population of women. Due to this heterogeneity, the underlying molecular mechanisms contributing to the pathogenesis of POP are still unclear. We sought to identify dysregulated pathways by comparing gene expression profiles of prolapsed and non- prolapsed anterior vaginal wall tissue within the same patient. Biopsies were collected from 12 premenopausal women undergoing prolapse surgery (cystocele POP-Q stage ≥ 2). A full thickness anterior vaginal wall sample was taken from the POP site during anterior colporrhaphy. An additional sample was taken from the non-prolapsed apex of the anterior vaginal cuff. Micro-array analysis was performed using whole genome GE 4x44K microarrays. Beside a significance analysis of micro-array (SAM), also a visual cluster analysis was performed.
Project description:Interaction between proteins and RNA is critical for post-transcriptional regulatory processes. Existing high throughput methods based on crosslinking of the protein-RNA complexes and polyA pull down are reported to contribute to biases and are not readily amenable for identifying interaction sites on non polyA RNAs. We present Protein Occupancy Profile-Sequencing (POP-seq), a phase separation based method in three versions, one of which does not require crosslinking, thus providing unbiased protein occupancy profiles on whole cell transcriptome without the requirement of polyA pulldown. Our study demonstrates that ~68% of the total POP-seq peaks exhibited an overlap with publicly available protein-RNA interaction profiles of 97 RNA binding proteins (RBPs) in K562 cells. We show that POP-seq variants consistently capture protein-RNA interaction sites across a broad range of genes including on transcripts encoding for transcription factors (TFs), RNA-Binding Proteins (RBPs) and long non-coding RNAs (lncRNAs). POP-seq identified peaks exhibited a significant enrichment (p value < 2.2e-16) for GWAS SNPs, phenotypic, clinically relevant germline as well as somatic variants reported in cancer genomes, suggesting the prevalence of uncharacterized genomic variation in protein occupied sites on RNA. We demonstrate that the abundance of POP-seq peaks increases with an increase in expression of lncRNAs, suggesting that highly expressed lncRNA are likely to act as sponges for RBPs, contributing to the rewiring of protein-RNA interaction network in cancer cells. Overall, our data supports POP-seq as a robust and cost-effective method that could be applied to primary tissues for mapping global protein occupancies.
