Single-Cell Transcriptomics Analysis of Human Small Antral Follicles

Human ovarian folliculogenesis is a highly regulated and complex process. Characterization of follicular cell signatures during this dynamic process is important to understand follicle fate (to grow, become dominant, or undergo atresia). The transcriptional signature of human oocytes and granulosa c...

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Autores principales: Xueying Fan, Ioannis Moustakas, Monika Bialecka, Julieta S. del Valle, Arend W. Overeem, Leoni A. Louwe, Gonneke S. K. Pilgram, Lucette A. J. van der Westerlaken, Hailiang Mei, Susana M. Chuva de Sousa Lopes
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/e505a4facbd64435b1cd0d038ad3c603
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spelling oai:doaj.org-article:e505a4facbd64435b1cd0d038ad3c6032021-11-11T17:22:36ZSingle-Cell Transcriptomics Analysis of Human Small Antral Follicles10.3390/ijms2221119551422-00671661-6596https://doaj.org/article/e505a4facbd64435b1cd0d038ad3c6032021-11-01T00:00:00Zhttps://www.mdpi.com/1422-0067/22/21/11955https://doaj.org/toc/1661-6596https://doaj.org/toc/1422-0067Human ovarian folliculogenesis is a highly regulated and complex process. Characterization of follicular cell signatures during this dynamic process is important to understand follicle fate (to grow, become dominant, or undergo atresia). The transcriptional signature of human oocytes and granulosa cells (GCs) in early-growing and ovulatory follicles have been previously described; however, that of oocytes with surrounding GCs in small antral follicles have not been studied yet. Here, we have generated a unique dataset of single-cell transcriptomics (SmartSeq2) consisting of the oocyte with surrounding GCs from several individual (non-dominant) small antral follicles isolated from adult human ovaries. We have identified two main types of (healthy) follicles, with a distinct oocyte and GC signature. Using the CellphoneDB algorithm, we then investigated the bi-directional ligand–receptor interactions regarding the transforming growth factor-β (TGFβ)/bone morphogenetic protein (BMP), wingless-type (MMTV)-integration site (WNT), NOTCH, and receptor tyrosine kinases (RTK) signaling pathways between oocyte and GCs within each antral follicle type. Our work not only revealed the diversity of small antral follicles, but also contributes to fill the gap in mapping the molecular landscape of human folliculogenesis and oogenesis.Xueying FanIoannis MoustakasMonika BialeckaJulieta S. del ValleArend W. OvereemLeoni A. LouweGonneke S. K. PilgramLucette A. J. van der WesterlakenHailiang MeiSusana M. Chuva de Sousa LopesMDPI AGarticlehuman adult ovaryoocytegranulosa cellantral folliclesingle-cell transcriptomicssignaling pathwaysBiology (General)QH301-705.5ChemistryQD1-999ENInternational Journal of Molecular Sciences, Vol 22, Iss 11955, p 11955 (2021)
institution DOAJ
collection DOAJ
language EN
topic human adult ovary
oocyte
granulosa cell
antral follicle
single-cell transcriptomics
signaling pathways
Biology (General)
QH301-705.5
Chemistry
QD1-999
spellingShingle human adult ovary
oocyte
granulosa cell
antral follicle
single-cell transcriptomics
signaling pathways
Biology (General)
QH301-705.5
Chemistry
QD1-999
Xueying Fan
Ioannis Moustakas
Monika Bialecka
Julieta S. del Valle
Arend W. Overeem
Leoni A. Louwe
Gonneke S. K. Pilgram
Lucette A. J. van der Westerlaken
Hailiang Mei
Susana M. Chuva de Sousa Lopes
Single-Cell Transcriptomics Analysis of Human Small Antral Follicles
description Human ovarian folliculogenesis is a highly regulated and complex process. Characterization of follicular cell signatures during this dynamic process is important to understand follicle fate (to grow, become dominant, or undergo atresia). The transcriptional signature of human oocytes and granulosa cells (GCs) in early-growing and ovulatory follicles have been previously described; however, that of oocytes with surrounding GCs in small antral follicles have not been studied yet. Here, we have generated a unique dataset of single-cell transcriptomics (SmartSeq2) consisting of the oocyte with surrounding GCs from several individual (non-dominant) small antral follicles isolated from adult human ovaries. We have identified two main types of (healthy) follicles, with a distinct oocyte and GC signature. Using the CellphoneDB algorithm, we then investigated the bi-directional ligand–receptor interactions regarding the transforming growth factor-β (TGFβ)/bone morphogenetic protein (BMP), wingless-type (MMTV)-integration site (WNT), NOTCH, and receptor tyrosine kinases (RTK) signaling pathways between oocyte and GCs within each antral follicle type. Our work not only revealed the diversity of small antral follicles, but also contributes to fill the gap in mapping the molecular landscape of human folliculogenesis and oogenesis.
format article
author Xueying Fan
Ioannis Moustakas
Monika Bialecka
Julieta S. del Valle
Arend W. Overeem
Leoni A. Louwe
Gonneke S. K. Pilgram
Lucette A. J. van der Westerlaken
Hailiang Mei
Susana M. Chuva de Sousa Lopes
author_facet Xueying Fan
Ioannis Moustakas
Monika Bialecka
Julieta S. del Valle
Arend W. Overeem
Leoni A. Louwe
Gonneke S. K. Pilgram
Lucette A. J. van der Westerlaken
Hailiang Mei
Susana M. Chuva de Sousa Lopes
author_sort Xueying Fan
title Single-Cell Transcriptomics Analysis of Human Small Antral Follicles
title_short Single-Cell Transcriptomics Analysis of Human Small Antral Follicles
title_full Single-Cell Transcriptomics Analysis of Human Small Antral Follicles
title_fullStr Single-Cell Transcriptomics Analysis of Human Small Antral Follicles
title_full_unstemmed Single-Cell Transcriptomics Analysis of Human Small Antral Follicles
title_sort single-cell transcriptomics analysis of human small antral follicles
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/e505a4facbd64435b1cd0d038ad3c603
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AT ioannismoustakas singlecelltranscriptomicsanalysisofhumansmallantralfollicles
AT monikabialecka singlecelltranscriptomicsanalysisofhumansmallantralfollicles
AT julietasdelvalle singlecelltranscriptomicsanalysisofhumansmallantralfollicles
AT arendwovereem singlecelltranscriptomicsanalysisofhumansmallantralfollicles
AT leonialouwe singlecelltranscriptomicsanalysisofhumansmallantralfollicles
AT gonnekeskpilgram singlecelltranscriptomicsanalysisofhumansmallantralfollicles
AT lucetteajvanderwesterlaken singlecelltranscriptomicsanalysisofhumansmallantralfollicles
AT hailiangmei singlecelltranscriptomicsanalysisofhumansmallantralfollicles
AT susanamchuvadesousalopes singlecelltranscriptomicsanalysisofhumansmallantralfollicles
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