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Transcriptomic analysis and competing endogenous RNA network in the human endometrium between proliferative and mid-secretory phases

ABSTRACT: Transcriptomic analysis and competing endogenous RNA network in the human endometrium between proliferative and mid-secretory phases

PROVIDER: PRJNA704317 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13769815.fastq.gz	Fastqsanger.gz
	SRR13769816.fastq.gz	Fastqsanger.gz
	SRR13769817.fastq.gz	Fastqsanger.gz
	SRR13769818.fastq.gz	Fastqsanger.gz
	SRR13769819.fastq.gz	Fastqsanger.gz

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Transcriptomic analysis and competing endogenous RNA network in the human endometrium between proliferative and mid-secretory phases

Project description:To identify differentially expressed transcripts (long-noncoding RNAs [lncRNAs], microRNAs [miRNAs], and mRNAs) and competing endogenous RNA (ceRNA) networks closely connected with endometrial receptivity, we analyzed gene expression profiles between the proliferative and mid-secretory endometria in fertile women.

2021-02-24 | GSE167325 | GEO

Transcriptomic analysis and competing endogenous RNA network in the human endometrium between proliferative and mid-secretory phases.

Project description:Successful embryo implantation is the first step for establishing natural pregnancy and is dependent on the crosstalk between the embryo and a receptive endometrium. However, the molecular signaling events for successful embryo implantation are not entirely understood. To identify differentially expressed transcripts [long-noncoding RNAs (lncRNAs), microRNAs (miRNAs) and mRNAs] and competing endogenous RNA (ceRNA) networks associated with endometrial receptivity, the current study analyzed gene expression profiles between proliferative and mid-secretory endometria in fertile women. A total of 247 lncRNAs, 67 miRNAs and 2,154 mRNAs were identified as differentially expressed between proliferative and mid-secretory endometria. Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that these differentially expressed genes were significantly enriched for 'cell adhesion molecules.' Additionally, 98 common mRNAs were significantly involved in tryptophan metabolism, metabolic pathways and FoxO signaling. From the differentially expressed lncRNA/miRNA/mRNA ceRNA network, hub RNAs that formed three axes were identified: The DLX6-AS1/miR-141 or miR-200a/OLFM1 axis, the WDFY3-AS2/miR-135a or miR-183/STC1 axis, and the LINC00240/miR-182/NDRG1 axis. These may serve important roles in the regulation of endometrial receptivity. The hub network of the current study may be developed as a candidate marker for endometrial receptivity.

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Comparative transcriptome analysis of the human endocervix and ectocervix during the proliferative and secretory phases of the menstrual cycle

Project description:Despite extensive studies suggesting increased susceptibility to HIV during the secretory phase of the menstrual cycle, there is limited knowledge of the molecular mechanisms involved. We aimed to explore the ectocervical and endocervical tissue transcriptomes during the proliferative and secretory phases of the cycle using RNA sequencing (RNAseq) to identify potential signatures of susceptibility to HIV. We utilized hysterectomy tissue specimens from subjects not using hormonal contraception/treatment for gynecological conditions. Ectocervical (n=10) and endocervical tissues (n=15) were used for this study. The cycle phase was determined by assessing the histopathology of hematoxylin-and-eosin stained sections of the endometrial mucosa by gynecologic pathologists. Total RNA was isolated from tissues frozen in RNAlater (Ambion) following manufacturer’s instructions (Qiagen RNeasy Fibrous Tissue Mini Kit). After extraction, the quality and the purity of the RNA were measured by the Agilent Bioanalyzer (Agilent, Santa Clara, CA). RNA was labeled and sequenced at the RU Genomics center by using Illumina TruSeq technology (75bp, >30M coverage). The data were analyzed using Ingenuity Pathway Analysis (IPA) software (QIAGEN Inc., https://www.qiagenbioinformatics.com/products/ingenuitypathway-analysis). To inquire into changes in gene expression irrespectively of p-value cut off, pre-ranked genes based on proliferative vs. secretory phase expression were subjected to Gene Set Enrichment Analysis (GSEA) against the Hallmark Gene sets (H) and Immunologic Signatures Gene sets (collection C7) from the Molecular Signatures Database (MSigDB)(http://software.broadinstitute.org/gsea/msigdb/index.jsp). Our data show menstrual cycle phase-associated changes in the transcriptomic landscape of the endocervix and ectocervix, some of which may contribute to changes in HIV susceptibility.

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Comparative transcriptome analysis of the human endocervix and ectocervix during the proliferative and secretory phases of the menstrual cycle

Project description:Comparative transcriptome analysis of the human endocervix and ectocervix during the proliferative and secretory phases of the menstrual cycle

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Genome-wide expression analysis of autologous eutopic and ectopic endometrium from fertile Indian women with endometriosis

Project description:Whole genome expression analyses of autologous, paired eutopic and ectopic endometrial samples obtained during proliferative and secretory phases of menstrual cycles from eighteen (n=18) fertile women suffering from confirmed stage 3 (moderate) and stage 4 (severe) ovarian endometriosis were performed using whole human genome oligo microarray Agilent paltform (Cat. No. G4112F). In the present study, genome-wide expression analysis of autologous, paired eutopic and ectopic endometrial samples obtained during proliferative (n=13) and secretory (n=5) phases of menstrual cycle from fertile women (n=18) suffering from moderate (stage 3; n=8) or severe (stage 4; n=10) endometrioma was performed by using Agilent single color oligo microarray platform (G4112, 4X44K). Thus eighteen (18) eutopic (shown as EU) and eighteen (18) ectopic (shown as EC) samples from eighteen (18) subjects with confirmed menstrual phase (proliferative and secretory) and severity stages (stage 3 and stage 4) were studied.

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Transcription profiling of human endometrium from patients with a history of endometriosis vs. normal controls sampled at a range of menstrual cycle timepoints reveals progesterone resistance and candidate susceptibility genes in women with endometriosis

Project description:The transition of regularly cycling endometrium from the proliferative or Estrogen-dominant phase of the menstrual cycle to the Progesterone-dominant Early and Mid Secretory phases requires wide-spread changes in gene expression that shift the endometrium from a proliferative capacity to a differentiated 'decidual' phenotype in preparation for implantation. This process appears delayed in women with severe endometriosis, suggestive of a progesterone resistant endometrium in this disease. Experiment Overall Design: Endometrial biopsies were obtained from women both with normal endometrial pathologies and no history of endometriosis and from women with laporoscopy proven moderate-severe stage endometriosis. Samples were collected from the Proliferative(PE), Early Secretory (ESE) and Midsecretory (MSE) phases. Samples were then processed for Total RNA isolation and Affymetrix chip hybridization.

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Gene Profiling of Endometrium Reveals Progesterone Resistance and Candidate Genetic Loci in Women with Endometriosis

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Genome-wide expression analysis of autologous eutopic and ectopic endometrium from fertile Indian women with endometriosis

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Expression profile of early and mid-secretory human endometrium revealed by RNA-seq: a paired-sample cohort study

Project description:Inner uterine lining or endometrium is a unique constantly self-renewed adult tissue that is vital for embryo implantation. As the footrace for universal endometrial receptivity markers continues, RNA-seq remains the most powerful tool for transcriptomic marker discovery. In this study, we aimed to elucidate endometrial maturation mechanisms at transcriptomic level and identify novel robust biomarker candidates for endometrial receptivity in a multicentre study. Additionally, we compared mid-secretory transcriptome profiles from healthy women with profiles of women with repeated IVF failure to find transcriptome changes related to problems with endometrial receptivity.

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eQTL Mapping of Mid-Secretory Phase Endometrial Cells

Project description:eQTL Mapping of Mid-Secretory Phase Endometrial Cells

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