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Comparison of Human Antral Follicles of Xenograft versus Ovarian Origin Reveals Disparate Molecular Signatures

  • Limor Man
  • , Nicole Lustgarten-Guahmich
  • , Eleni Kallinos
  • , Zachary Redhead-Laconte
  • , Sally Liu
  • , Benjamin Schattman
  • , David Redmond
  • , Kolbe Hancock
  • , Nikica Zaninovic
  • , Glenn Schattman
  • , Zev Rosenwaks
  • , Daylon James

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

The activation, growth, and maturation of oocytes to an ovulatory phase, termed folliculogenesis, is governed by the orchestrated activity of multiple specialized cell types within the ovary; yet, the mechanisms governing diversification and behavior of discrete cellular sub-populations within follicles are poorly understood. We use bulk and single-cell RNA sequencing to distinguish the transcriptional signature of prospectively isolated granulosa and theca/stroma cell subsets within human antral follicles derived from xenografts or ovaries. The analysis deconstructs phenotypic diversification within small (<4 mm) antral follicles, identifying secreted factors that are differentially enriched between mural and oophorus granulosa cells, and segregating stromal/support and steroidal activity between theca externa and interna, respectively. Multiple factors are differentially expressed in follicles of xenograft versus ovarian origin. These data capture a high-resolution transcriptional signature of granulosa and theca subpopulations and provide a systems-level portrait of cellular diversification in early antral human follicles.

Original languageEnglish
Article number108027
JournalCell Reports
Volume32
Issue number6
DOIs
StatePublished - 11 Aug 2020
Externally publishedYes

Keywords

  • antral follicle
  • fertility preservation
  • granulosa cell
  • human folliculogenesis
  • ovarian tissue transplantation
  • ovarian tissue xenograft
  • single-cell RNA sequencing
  • theca cell

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology

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