ArticleRNA biology2020
Identification of NOVA family proteins as novel β-catenin RNA-binding proteins that promote epithelial-mesenchymal transition.
Article in RNA biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- Serum Onconeural Antibodies in Dogs and Cats for Early Diagnosis of Cancer.Veterinary medicine (Auckland, N.Z.) · 2025Article
- Best evidence linking the extracellular factor TGF-β to cancer-associated alternative splicing programs.BBA advances · 2025Review
- The splicing machinery is dysregulated and represents a therapeutic vulnerability in breast cancer.Cellular and molecular life sciences : CMLS · 2024Article
- Circular RNA in Non-small Cell Lung Carcinoma: Identification of Targets and New Treatment Modalities.Cancer genomics & proteomics · 2023Review
- Review
- Design and Characterization of Mutated Variants of the Oncotoxic Parvoviral Protein NS1.Viruses · 2023Article
- Circ_0016760 Serves as a Cancer Promoter in Non-small Cell Lung Cancer Through miR-876-3p/NOVA2 Axis.Biochemical genetics · 2022Article
- NOVA1 promotes NSCLC proliferation and invasion by activating Wnt/β-catenin signaling.BMC cancer · 2022Article
- Development and validation of novel prognostic models based on RNA-binding proteins in breast cancer.The Journal of international medical research · 2022Article
- RNA-binding protein signaling in adult neurogenesis.Frontiers in cell and developmental biology · 2022Review
- Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma.Journal of healthcare engineering · 2021Article
- Integrating 13 Microarrays to Construct a 6 RNA-binding proteins Prognostic Signature for Gastric Cancer patients.Journal of Cancer · 2021Article
- Circ_0001806 Promotes the Proliferation, Migration and Invasion of NSCLC Cells Through miR-1182/NOVA2 Axis.Cancer management and research · 2021Article
- Alternative Splicing by NOVA Factors: From Gene Expression to Cell Physiology and Pathology.International journal of molecular sciences · 2020Review
- Circ_0000376, a Novel circRNA, Promotes the Progression of Non-Small Cell Lung Cancer Through Regulating the miR-1182/NOVA2 Network.Cancer management and research · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The NOVA (neuro-oncological ventral antigen) protein family, composed of two paralogs, NOVA1 and NOVA2, consists of RNA-binding proteins involving in processes such as alternative splicing and transport of some target mRNAs. The function of NOVA has been well studied, and increasing evidence has shown that NOVA proteins may be important contributors to carcinogenesis. However, the molecular mechanisms underlying the roles of NOVA proteins in carcinogenesis remain to be determined. Here, we have identified both NOVA1 and NOVA2 as novel β-catenin RNA-binding proteins. The NOVA1/NOVA2 heterodimer positively regulates β-catenin expression by enhancing β-catenin mRNA stability. Furthermore, we demonstrated that NOVA1 and NOVA2 promote epithelial-mesenchymal transition via β-catenin in breast cancer cells, as NOVA-induced upregulation of epithelial and mesenchymal marker expression was attenuated by restoring β-catenin expression. Our results advance the current understanding of β-catenin post-transcriptional regulation and shed light on the role of NOVA proteins in cancer, suggesting that NOVA proteins are potential therapeutic targets in breast cancer.
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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 OpenQuestion graph.