ArticleBioinformatics (Oxford, England)2010
Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data.
Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 36 citations in OpenAlex.
- Methods for multi-omic data integration in cancer research.Frontiers in genetics · 2024Review
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- Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study.NPJ systems biology and applications · 2021Article
- HSCVFNT: Inference of Time-Delayed Gene Regulatory Network Based on Complex-Valued Flexible Neural Tree Model.International journal of molecular sciences · 2018Article
- In silico Transcriptional Regulatory Networks Involved in Tomato Fruit Ripening.Frontiers in plant science · 2016Article
- Integrative multi-omics module network inference with Lemon-Tree.PLoS computational biology · 2015Article
- Time-Delayed Models of Gene Regulatory Networks.Computational and mathematical methods in medicine · 2015Review
- Uncovering the roles of miRNAs and their relationship with androgen receptor in prostate cancer.IUBMB life · 2014Review
- Identification of candidate miRNA biomarkers from miRNA regulatory network with application to prostate cancer.Journal of translational medicine · 2014Article
- CHO microRNA engineering is growing up: recent successes and future challenges.Biotechnology advances · 2013Review
- MicroRNAs act complementarily to regulate disease-related mRNA modules in human diseases.RNA (New York, N.Y.) · 2013Article
- Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning.BMC systems biology · 2013Article
- RMaNI: Regulatory Module Network Inference framework.BMC bioinformatics · 2013Article
- An integrative approach to infer regulation programs in a transcription regulatory module network.Journal of biomedicine & biotechnology · 2012Article
- Differential combinatorial regulatory network analysis related to venous metastasis of hepatocellular carcinoma.BMC genomics · 2012Article
- Comparative transcriptome analysis of two olive cultivars in response to NaCl-stress.PloS one · 2012Article
- Identifying Tmem59 related gene regulatory network of mouse neural stem cell from a compendium of expression profiles.BMC systems biology · 2011Article
- Comparing signaling networks between normal and transformed hepatocytes using discrete logical models.Cancer research · 2011Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationCancer is a complex disease, triggered by mutations in multiple genes and pathways. There is a growing interest in the application of systems biology approaches to analyze various types of cancer-related data to understand the overwhelming complexity of changes induced by the disease.
resultsWe reconstructed a regulatory module network using gene expression, microRNA expression and a clinical parameter, all measured in lymphoblastoid cell lines derived from patients having aggressive or non-aggressive forms of prostate cancer. Our analysis identified several modules enriched in cell cycle-related genes as well as novel functional categories that might be linked to prostate cancer. Almost one-third of the regulators predicted to control the expression levels of the modules are microRNAs. Several of them have already been characterized as causal in various diseases, including cancer. We also predicted novel microRNAs that have never been associated to this type of tumor. Furthermore, the condition-dependent expression of several modules could be linked to the value of a clinical parameter characterizing the aggressiveness of the prostate cancer. Taken together, our results help to shed light on the consequences of aggressive and non-aggressive forms of prostate cancer. AVAILABILITY: The complete regulatory network is available as an interactive supplementary web site at the following URL: http://bioinformatics.psb.ugent.be/webtools/pronet/.
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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.