ReviewMethods in molecular biology (Clifton, N.J.)2021
An Overview of the Computational Models Dealing with the Regulatory ceRNA Mechanism and ceRNA Deregulation in Cancer.
Review in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
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Who cites it
21 citing papers in PubMed.
- Review
- Machine learning-based survival prediction in colorectal cancer combining clinical and biological features.Oncotarget · 2025Article
- Editorial: Therapeutic mechanism of osteosarcoma.Frontiers in molecular biosciences · 2025Article
- The Constrained Disorder Principle Overcomes the Challenges of Methods for Assessing Uncertainty in Biological Systems.Journal of personalized medicine · 2024Review
- of Potential Noncoding RNAs Related to Spinal Cord Injury Based on Competing Endogenous RNAs.Molecular neurobiology · 2024Article
- ceRNA Network and WGCNA Analyses of Differentially Expressed Genes in Cervical Cancer Tissues for Association with Survival of Patients.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- LncRNA SNHG25 Predicts Poor Prognosis and Promotes Progression in OsteosarcomaCombinatorial chemistry & high throughput screening · 2024Article
- Competing endogenous RNAs (ceRNAs) and drug resistance to cancer therapy.Cancer drug resistance (Alhambra, Calif.) · 2024Review
- Integrative analysis of the immune-related ceRNA network in fetal growth restriction based on weighted gene co-expression network analysis.Archives of gynecology and obstetrics · 2023Article
- Landscape of co-expressed genes between the myocardium and blood in sepsis and ceRNA network construction: a bioinformatic approach.Scientific reports · 2023Article
- Functional knockout of long non-coding RNAs with genome editing.Frontiers in genetics · 2023Review
- Article
- Circular RNA mediated gene regulation in human breast cancer: A bioinformatics analysis.PloS one · 2023Article
- Identification of a prognosis-related ceRNA network in cholangiocarcinoma and potentially therapeutic molecules using a bioinformatic approach and molecular docking.Scientific reports · 2022Article
- Construction and analysis of a ceRNA network and patterns of immune infiltration in chronic rhinosinusitis with nasal polyps: based on data mining and experimental verification.Scientific reports · 2022Article
- The regulatory mechanism of LncRNA-mediated ceRNA network in osteosarcoma.Scientific reports · 2022Article
- CircMYC promotes proliferation, migration, invasion and inhibits apoptosis of small cell lung cancer by targeting miR-145/ Matrix Metallopeptidase 2 axis.Bioengineered · 2022Article
- YY1-induced long non-coding RNA small nucleolar RNA host gene 8 promotes the tumorigenesis of melanoma via the microRNA-656-3p/SERPINE1 mRNA binding protein 1 axis.Bioengineered · 2022Article
- LncRNA CARMN Affects Hepatocellular Carcinoma Prognosis by Regulating the miR-192-5p/LOXL2 Axis.Oxidative medicine and cellular longevity · 2022Article
- ncRNA-Mediated High Expression of LPCAT1 Correlates with Poor Prognosis and Tumor Immune Infiltration of Liver Hepatocellular Carcinoma.Journal of immunology research · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pools of RNA molecules can act as competing endogenous RNAs (ceRNAs) and indirectly alter their expression levels by competitively binding shared microRNAs. This ceRNA cross talk yields an additional posttranscriptional regulatory layer, which plays key roles in both physiological and pathological processes. MicroRNAs can act as decoys by binding multiple RNAs, as well as RNAs can act as ceRNAs by competing for binding multiple microRNAs, leading to many cross talk interactions that could favor significant large-scale effects in spite of the weakness of single interactions. Identifying and studying these extended ceRNA interaction networks could provide a global view of the fine-tuning gene regulation in a wide range of biological processes and tumor progressions. In this chapter, we review current progress of predicting ceRNA cross talk, by summarizing the most up-to-date databases, which collect computationally predicted and/or experimentally validated miRNA-target and ceRNA-ceRNA interactions, as well as the widespread computational methods for discovering and modeling possible evidences of ceRNA-ceRNA interaction networks. These methods can be grouped in two categories: statistics-based methods exploit multivariate analysis to build ceRNA networks, by considering the miRNA expression levels when evaluating miRNA sponging relationships; mathematical methods build deterministic or stochastic models to analyze and predict the behavior of ceRNA cross talk.
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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.