ArticleGenome research2015
Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks.
Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 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
63 citing papers in PubMed, 110 citations in OpenAlex.
- Expanding the immune-related targetome of miR-155-5p by integrating time-resolved RNA patterns into miRNA target prediction.RNA biology · 2025Review
- Article
- Coordinated regulation by lncRNAs results in tight lncRNA-target couplings.Cell genomics · 2025Article
- Modeling ncRNA Synergistic Regulation in Cancer.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Informeasure: an R/bioconductor package for quantifying nonlinear dependence between variables in biological networks from an information theory perspective.BMC bioinformatics · 2024Article
- Advancing microRNA target site prediction with transformer and base-pairing patterns.Nucleic acids research · 2024Article
- Cirscan: a shiny application to identify differentially active sponge mechanisms and visualize circRNA-miRNA-mRNA networks.BMC bioinformatics · 2024Article
- Competing endogenous RNAs (ceRNAs) and drug resistance to cancer therapy.Cancer drug resistance (Alhambra, Calif.) · 2024Review
- ceRNAR: An R package for identification and analysis of ceRNA-miRNA triplets.PLoS computational biology · 2022Article
- LncRNAs and CircRNAs in cancer.MedComm · 2022Review
- Computing microRNA-gene interaction networks in pan-cancer using miRDriver.Scientific reports · 2022Article
- Network Approaches to Study Endogenous RNA Competition and Its Impact on Tissue-Specific microRNA Functions.Biomolecules · 2022Review
- Computational Detection of MicroRNA Targets.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Machine Learning Based Methods and Best Practices of microRNA-Target Prediction and Validation.Advances in experimental medicine and biology · 2022Article
- Bioinformatics Methods for Modeling microRNA Regulatory Networks in Cancer.Advances in experimental medicine and biology · 2022Article
- Prognostic Roles of ceRNA Network-Based Signatures in Gastrointestinal Cancers.Frontiers in oncology · 2022Review
- The RNA Atlas expands the catalog of human non-coding RNAs.Nature biotechnology · 2021Article
- Long noncoding TMPO antisense RNA 1 promotes hepatocellular carcinoma proliferation and epithelial-mesenchymal transition by targeting the microRNA-126-3p/LRP6/β-catenin axis.Annals of translational medicine · 2021Article
- Roles of ncRNAs as ceRNAs in Gastric Cancer.Genes · 2021Review
- LncRNA XIST upregulates TRIM25 via negatively regulating miR-192 in hepatitis B virus-related hepatocellular carcinoma.Molecular medicine (Cambridge, Mass.) · 2021Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 7 institutions in 2 countries.
Funding
Abstract
We introduce a method for simultaneous prediction of microRNA-target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. Using high-throughput validation assays in breast cancer cell lines, we show that our integrative approach significantly improves on microRNA-target prediction accuracy as assessed by both mRNA and protein level measurements. Our biochemical assays support nearly 500 microRNA-target interactions with evidence for regulation in breast cancer tumors. Moreover, these assays constitute the most extensive validation platform for computationally inferred networks of microRNA-target interactions in breast cancer tumors, providing a useful benchmark to ascertain future improvements.
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What OpenQuestion 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 OpenQuestion graph.