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accession-icon SRP040772
miRNome of endometriotic lesion
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

miRNA high-throughput sequencing was used to investigate endometriosis lesion-specific miRNA expression profiles by comparing a set of paired samples of peritoneal endometriotic lesions and matched healthy surrounding tissue together with eutopic endometrium of the same patients. We found that miRNAs of surrounding peritoneal tissue mask most of the miRNA expression differences that could originate from endometriotic tissue and thus only miRNAs with significantly different levels in the endometriotic lesions compared to peritoneal tissue were detected. According to the results of this study, two miRNAs – miR-34c and miR-449a showed remarkably higher expression in lesions compared to healthy tissue. Overall design: Eleven tissue samples (two endometria, five peritoneal lesions and four matched adjacent normal-appearing tissues) were analysed from two patients with a histologically confirmed diagnosis of moderate-severe endometriosis (III-IV stage)

Publication Title

High-throughput sequencing approach uncovers the miRNome of peritoneal endometriotic lesions and adjacent healthy tissues.

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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