Literature DB >> 32614039

Distinct follicular and luteal transcriptional profiles in engineered human ectocervical tissue dependent on menstrual cycle phase.

Kelly E McKinnon1, Spiro Getsios2, Teresa K Woodruff1.   

Abstract

To investigate genomic pathways that may influence physiology and infectivity during the menstrual cycle, RNA sequence analysis was performed on patient-matched engineered ectocervical tissue after follicular and luteal phase (LP) hormone treatments. We developed distinct cellular, molecular, and biological profiles in ectocervical epithelium dependent on the menstrual cycle phase. Follicular phase hormones were associated with proliferation, transcription, and cell adhesion, while LP samples expressed genes involved in immune cell recruitment, inflammation, and protein modifications. Additionally, our analysis revealed mucins not previously reported in ectocervical tissue, which could play an important role in fertility and disease prevention. This study provides insight into the phenomenon of increased LP vulnerability to infection and identifies potential targets for future research.
© The Author(s) 2020. Published by Oxford University Press on behalf of Society for the Study of Reproduction. Reproduction. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  3D model; differentiation; ectocervix; female reproductive tract; hormone action; mucins

Year:  2020        PMID: 32614039      PMCID: PMC7822709          DOI: 10.1093/biolre/ioaa056

Source DB:  PubMed          Journal:  Biol Reprod        ISSN: 0006-3363            Impact factor:   4.285


  17 in total

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Journal:  AIDS Res Hum Retroviruses       Date:  2016-02-10       Impact factor: 2.205

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Authors:  C R Wira; M Ghosh; J M Smith; L Shen; R I Connor; P Sundstrom; G M Frechette; E T Hill; J V Fahey
Journal:  Mucosal Immunol       Date:  2010-11-03       Impact factor: 7.313

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Journal:  Nucleic Acids Res       Date:  2015-05-12       Impact factor: 16.971

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10.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nucleic Acids Res       Date:  2008-11-25       Impact factor: 16.971

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1.  Candidate genes for infertility: an in-silico study based on cytogenetic analysis.

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  1 in total

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