ArticleiScience2018
p73 Is Required for Ovarian Follicle Development and Regulates a Gene Network Involved in Cell-to-Cell Adhesion.
Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Metabolomic Analysis Identifies Betaine as a Key Mediator ofInternational journal of molecular sciences · 2025Article
- GOF Mutant p53 in Cancers: A Therapeutic Challenge.Cancers · 2022Review
- p73 is required for vessel integrity controlling endothelial junctional dynamics through Angiomotin.Cellular and molecular life sciences : CMLS · 2022Article
- The Role of Mutant p63 in Female Fertility.International journal of molecular sciences · 2021Review
- Tissue-specific expression of p73 and p63 isoforms in human tissues.Cell death & disease · 2021Article
- Deciphering the Nature ofCancers · 2021Article
- Pan-Cancer Drivers Are Recurrent Transcriptional Regulatory Heterogeneities in Early-Stage Luminal Breast Cancer.Cancer research · 2021Article
- Characterization of a bicistronic knock-in reporter mouse model for investigating the role of CABLES2 in vivo.Experimental animals · 2021Article
- p73 as a Tissue Architect.Frontiers in cell and developmental biology · 2021Review
- Review
- Are Synapse-Like Structures a Possible Way for Crosstalk of Cancer with Its Microenvironment?Cancers · 2020Review
- Transcription factor TAp73 and microRNA-449 complement each other to support multiciliogenesis.Cell death and differentiation · 2019Article
- Tissue-specific roles of p73 in development and homeostasis.Journal of cell science · 2019Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
We report that p73 is expressed in ovarian granulosa cells and that loss of p73 leads to attenuated follicle development, ovulation, and corpus luteum formation, resulting in decreased levels of circulating progesterone and defects in mammary gland branching. Ectopic progesterone in p73-deficient mice completely rescued the mammary branching and partially rescued the ovarian follicle development defects. Performing RNA sequencing (RNA-seq) on transcripts from murine wild-type and p73-deficient antral follicles, we discovered differentially expressed genes that regulate biological adhesion programs. Through modulation of p73 expression in murine granulosa cells and transformed cell lines, followed by RNA-seq and chromatin immunoprecipitation sequencing, we discovered p73-dependent regulation of a gene set necessary for cell adhesion and migration and components of the focimatrix (focal intra-epithelial matrix), a basal lamina between granulosa cells that promotes follicle maturation. In summary, p73 is essential for ovarian folliculogenesis and functions as a key regulator of a gene network involved in cell-to-cell adhesion and migration.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.