ArticleCancer informatics2008
An integrative analysis of microRNA and mRNA expression--a case study.
Article in Cancer informatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Circulating miR-10b-5p as a candidate biomarker of atrial fibrillation recurrence after catheter ablation: a two-phase translational study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- The Potential MicroRNA Diagnostic Biomarkers in Oral Squamous Cell Carcinoma of the Tongue.Current issues in molecular biology · 2024Article
- Statistical Assessment of Depth Normalization for Small RNA Sequencing.JCO clinical cancer informatics · 2020Article
- Using association signal annotations to boost similarity network fusion.Bioinformatics (Oxford, England) · 2019Article
- iDINGO-integrative differential network analysis in genomics with Shiny application.Bioinformatics (Oxford, England) · 2018Article
- Cancer Subtype Discovery Using Prognosis-Enhanced Neural Network Classifier in Multigenomic Data.Technology in cancer research & treatment · 2018Article
- Statistical Contributions to Bioinformatics: Design, Modeling, Structure Learning, and Integration.Statistical modelling · 2017Article
- Multidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease.Frontiers in cardiovascular medicine · 2017Review
- miRNA-target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer.Biometrics · 2015Article
- iGPSe: a visual analytic system for integrative genomic based cancer patient stratification.BMC bioinformatics · 2014Article
- CORM: An R Package Implementing the Clustering of Regression Models Method for Gene Clustering.Cancer informatics · 2014Review
- miRConnect 2.0: identification of oncogenic, antagonistic miRNA families in three human cancers.BMC genomics · 2013Article
- A systematic evaluation of miRNA:mRNA interactions involved in the migration and invasion of breast cancer cells.Journal of translational medicine · 2013Article
- iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data.Bioinformatics (Oxford, England) · 2013Article
- Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review.Briefings in bioinformatics · 2013Review
- Integrative analysis of gene and miRNA expression profiles with transcription factor-miRNA feed-forward loops identifies regulators in human cancers.Nucleic acids research · 2012Article
- Lessons from a decade of integrating cancer copy number alterations with gene expression profiles.Briefings in bioinformatics · 2012Article
- Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis.Bioinformatics (Oxford, England) · 2009Article
- Approaches to uncovering cancer diagnostic and prognostic molecular signatures.Molecular & cellular oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
backgroundMicroRNAs are believed to play an important role in gene expression regulation. They have been shown to be involved in cell cycle regulation and cancer. MicroRNA expression profiling became available owing to recent technology advancement. In some studies, both microRNA expression and mRNA expression are measured, which allows an integrated analysis of microRNA and mRNA expression.
resultsWe demonstrated three aspects of an integrated analysis of microRNA and mRNA expression, through a case study of human cancer data. We showed that (1) microRNA expression efficiently sorts tumors from normal tissues regardless of tumor type, while gene expression does not; (2) many microRNAs are down-regulated in tumors and these microRNAs can be clustered in two ways: microRNAs similarly affected by cancer and microRNAs similarly interacting with genes; (3) taking let-7f as an example, targets genes can be identified and they can be clustered based on their relationship with let-7f expression. DISCUSSION: Our findings in this paper were made using novel applications of existing statistical methods: hierarchical clustering was applied with a new distance measure-the co-clustering frequency-to identify sample clusters that are stable; microRNA-gene correlation profiles were subject to hierarchical clustering to identify microRNAs that similarly interact with genes and hence are likely functionally related; the clustering of regression models method was applied to identify microRNAs similarly related to cancer while adjusting for tissue type and genes similarly related to microRNA while adjusting for disease status. These analytic methods are applicable to interrogate multiple types of -omics data in general.
Indexed as
Identifiers
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.