Cells, Free Full-Text
Por um escritor misterioso
Last updated 06 junho 2024
Identifying tissue-specific molecular signatures of active regulatory elements is critical to understanding gene regulatory mechanisms. In this study, transcription start sites (TSS) and enhancers were identified using Cap analysis of gene expression (CAGE) across endometrial stromal cell (ESC) samples obtained from women with (n = 4) and without endometriosis (n = 4). ESC TSSs and enhancers were compared to those reported in other tissue and cell types in FANTOM5 and were integrated with RNA-seq and ATAC-seq data from the same samples for regulatory activity and network analyses. CAGE tag count differences between women with and without endometriosis were statistically tested and tags within close proximity to genetic variants associated with endometriosis risk were identified. Over 90% of tag clusters mapping to promoters were observed in cells and tissues in FANTOM5. However, some potential cell-type-specific promoters and enhancers were also observed. Regions of open chromatin identified using ATAC-seq provided further evidence of the active transcriptional regions identified by CAGE. Despite the small sample number, there was evidence of differences associated with endometriosis at 210 consensus clusters, including IGFBP5, CALD1 and OXTR. ESC TSSs were also located within loci associated with endometriosis risk from genome-wide association studies. This study provides novel evidence of transcriptional differences in endometrial stromal cells associated with endometriosis and provides a valuable cell-type specific resource of active TSSs and enhancers in endometrial stromal cells.
Effect of calendar ageing on the cycle life of anode-free full-cells.
Labile coat: reason for noninfectious cell-free varicella-zoster virus in culture. - Abstract - Europe PMC
Cell-Free Protein Expression
JTurkGerGynecolAssoc on X: Effects of stem cells and amniotic fluid on uterus and ovaries in a rat model of abdominal adhesions: a controlled study You can see the free full text of
Cells, Free Full-Text
Cancer type classification using plasma cell-free RNAs derived from human and microbes
An illustration of the full-duplex cell-free massive MIMO system.
Remote immune processes revealed by immune-derived circulating cell-free DNA
Cells, Free Full-Text
Cells, Free Full-Text
Iec/Ts 62886 Get File - Colaboratory
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