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Transcriptomic analysis of engineered myometrial tissues with varied tissue architecture and matrix rigidity

ABSTRACT: Transcriptomic analysis of engineered myometrial tissues with varied tissue architecture and matrix rigidity

PROVIDER: PRJNA975811 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR24719436_1.fastq.gz	Fastqsanger.gz
	SRR24719436_2.fastq.gz	Fastqsanger.gz
	SRR24719437_1.fastq.gz	Fastqsanger.gz
	SRR24719437_2.fastq.gz	Fastqsanger.gz
	SRR24719438_1.fastq.gz	Fastqsanger.gz

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Project description:The goal of this study was to select the optimal myometrial cells for our high-throughput drug discovery assay, as well as determine the similarity or differences of myometrial cells to vascular smooth muscle cells (VSMCs)-the most common off-target of current myometrial therapeutics. RNA-seq was used to: 1) identify which myometrial cells retained the most similar transcriptome profile to native tissue, and 2) compare the uterine myometrial transcriptome to VSMCs in hopes of identifying a uterine-selective transcriptome that was “druggable” for tocolytic or uterotonic use. Four sources of myometrial cells were examined: 1) term pregnant human primary myometrial cells isolated from tissue biopsies obtained at the time of caesarean sections, 2) term pregnant mouse primary myometrial cells, 3) commercially-available immortalized pregnant human myometrial (PHM1) cells and 4) human telomerase immortalized myometrial (hTERT-HM) cells. Correlation analysis of aligned reads identified that the transcriptome of primary human myometrial and hTERT-HM cells showed 85% and 80% correlation, respectively, to human myometrial tissue and that the transcriptome of hTERT-HM and PHM1 cells is 90% or more correlative to human primary myometrial cells. The expression levels (fold-change) of contraction-associciated transcripts (OXTR, PTGFR, PTGS2 and GJA1) strongly correlated (r=0.93) between RNA sequencing and qRT-PCR analysis. Analysis of aligned reads among myometrial cells revealed the number of differentially expressed transcripts (fold-change≥2.0, adjusted p-value≤0.01) relative to primary human myometrial cells: hTERT-HM (946 upregulated and 2,351 downregulated), PHM1 (1,575 upregulated and 2,415 downregulated) and primary mouse myometrial cells (3,435 upregulated and 2,966 downregulated). Correlation analysis showed that the human primary myometrial cell transcriptome is over 90% similar to the transcriptome of VSMCs examined. A number of genes associated with smooth muscle contractile machinery (TPM1, TPM2, CNN1, CALD1, ACTA2 and PLN)were significantly (p≤0.01) upregulated (≥2-fold) in human primary myometrial compared to vascular SMCs. We identified 498 transcripts were identified as upregulated in human primary myometrial cells compared to all three VSMCs examined. Of these, the drug-gene interaction database identified 142 genes as druggable

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Transcriptomic analysis of engineered myometrial tissues with varied tissue architecture and matrix rigidity

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