Evidence map›Paper›PMID 34174788›Full record

ArticleAging cell2021

Single-cell RNA-Seq reveals a highly coordinated transcriptional program in mouse germ cells during primordial follicle formation.

Yuanlin He, Qiuzhen Chen, Juncheng Dai, Yiqiang Cui, Chi Zhang, Xidong Wen, Jiazhao Li, Yue Xiao, Xiaoxu Peng, Mingxi Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.6field-weighted citation impact, top 2% of its field
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

21 citing papers in PubMed, 46 citations in OpenAlex.

  1. TSG FromFood science & nutrition · 2026
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  8. FOSMolecular therapy. Oncology · 2024
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  16. Effects and potential mechanism of CaInternational journal of molecular medicine · 2022
    Article
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  19. Editorial: Reproductive genomics.Frontiers in genetics · 2022
    Article
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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

15 authors at 2 institutions in 1 country.

Yuanlin HeState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.ORCID 0000-0001-7019-6756
Qiuzhen ChenState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Juncheng DaiDepartment of Epidemiology and Biostatistics, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yiqiang CuiState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Chi ZhangState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Xidong WenState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Jiazhao LiState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Yue XiaoState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Xiaoxu PengState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Mingxi LiuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Bin ShenState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Jiahao ShaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Zhibin HuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Jing LiState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.ORCID 0000-0001-8692-4981
Wenjie ShuDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, China.ORCID 0000-0001-9044-2352
Nanjing Medical University · CNBeijing Radiation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assembly of primordial follicles in mammals represents one of the most critical processes in ovarian biology. It directly affects the number of oocytes available to a female throughout her reproductive life. Premature depletion of primordial follicles contributes to the ovarian pathology primary ovarian insufficiency (POI). To delineate the developmental trajectory and regulatory mechanisms of oocytes during the process, we performed RNA-seq on single germ cells from newborn (P0.5) ovaries. Three cell clusters were classified which corresponded to three cell states (germ cell cyst, cyst breakdown, and follicle) in the newborn ovary. By Monocle analysis, a uniform trajectory of oocyte development was built with a series of genes showed dynamic changes along the pseudo-timeline. Gene Ontology term enrichment revealed a significant decrease in meiosis-related genes and a dramatic increase in oocyte-specific genes which marked the transition from a germ cell to a functional oocyte. We then established a network of regulons by using single-cell regulatory network inference and clustering (SCENIC) algorithm and identified possible candidate transcription factors that may maintain transcription programs during follicle formation. Following functional studies further revealed the differential regulation of the identified regulon Id2 and its family member Id1, on the establishment of primordial follicle pool by using siRNA knockdown and genetic modified mouse models. In summary, our study systematically reconstructed molecular cascades in oocytes and identified a series of genes and molecular pathways in follicle formation and development.

Indexed as

AnimalsGerm Cell Ribonucleoprotein GranulesGerm CellsMiceOocytesRNA-SeqSingle-Cell Analysiscyst breakdownoocyteovaryprimordial folliclesingle-cell RNA-seq

Identifiers

PMID34174788
PMCPMC8282241
OpenAlexW3173256764

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.