Evidence map›Paper›PMID 34769386›Full record

ArticleInternational journal of molecular sciences2021

Single-Cell Transcriptomics Analysis of Human Small Antral Follicles.

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

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  17. Advances in Oocyte Maturation In Vivo and In Vitro in Mammals.International journal of molecular sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xueying FanDepartment of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.ORCID 0000-0002-7809-2254
Ioannis MoustakasDepartment of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
Monika BialeckaDepartment of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
Julieta S Del ValleDepartment of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
Arend W OvereemDepartment of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.
Leoni A LouweDepartment of Gynaecology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Gonneke S K PilgramDepartment of Gynaecology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Lucette A J van der WesterlakenDepartment of Gynaecology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Hailiang MeiSequencing Analysis Support Core, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.ORCID 0000-0003-1781-5508
Susana M Chuva de Sousa LopesDepartment of Anatomy and Embryology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.ORCID 0000-0003-3866-2803

Funding

China Scholarship Council CSC 201706320328European Research Council ERC-CoG-2016-725722Nederlandse Organisatie voor Wetenschappelijk Onderzoek VICI-2018-91819642
6 · The paper itself

Abstract

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.

Indexed as

OogenesisTranscriptomeBiomarkersFemaleHumansOocytesOvarian FollicleSingle-Cell AnalysisBiomarkersantral folliclegranulosa cellhuman adult ovaryoocytesignaling pathwayssingle-cell transcriptomics

Identifiers

PMID34769386
PMCPMC8584910

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.