ArticleBMC systems biology2010
Coordinated modular functionality and prognostic potential of a heart failure biomarker-driven interaction network.
Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Identification of monocyte-associated genes as predictive biomarkers of heart failure after acute myocardial infarction.BMC medical genomics · 2021Article
- Network-Wide Screen Identifies Variation of Novel Precise On-Module Targets Using Conformational Modudaoism.CPT: pharmacometrics & systems pharmacology · 2018Article
- From protein-protein interactions to protein co-expression networks: a new perspective to evaluate large-scale proteomic data.EURASIP journal on bioinformatics & systems biology · 2017Review
- Comparative proteomic analysis of Neisseria meningitidis wildtype and dprA null mutant strains links DNA processing to pilus biogenesis.BMC microbiology · 2017Article
- Comparative Proteomic Analysis ofFrontiers in microbiology · 2017Article
- Mining kidney toxicogenomic data by using gene co-expression modules.BMC genomics · 2016Article
- Pathway mapping and development of disease-specific biomarkers: protein-based network biomarkers.Journal of cellular and molecular medicine · 2015Review
- Gene expression in rat models for inter-generational transmission of islet dysfunction and obesity.Genomics data · 2014Article
- Systems level analysis and identification of pathways and networks associated with liver fibrosis.PloS one · 2014Article
- Analysis of a gene co-expression network establishes robust association between Col5a2 and ischemic heart disease.BMC medical genomics · 2013Article
- Microarray Analysis of mRNA and MicroRNA Expression Profile Reveals the Role of β -Sitosterol-D-glucoside in the Proliferation of Neural Stem Cell.Evidence-based complementary and alternative medicine : eCAM · 2013Article
- A gender-related action of IFNbeta-therapy was found in multiple sclerosis.Journal of translational medicine · 2012Article
- Lung cancer signature biomarkers: tissue specific semantic similarity based clustering of digital differential display (DDD) data.BMC research notes · 2012Article
- Functional Genomics Assistant (FUGA): a toolbox for the analysis of complex biological networks.BMC research notes · 2011Article
- Information encoded in a network of inflammation proteins predicts clinical outcome after myocardial infarction.BMC medical genomics · 2011Article
- Predictive integration of gene functional similarity and co-expression defines treatment response of endothelial progenitor cells.BMC systems biology · 2011Article
- Prognostic transcriptional association networks: a new supervised approach based on regression trees.Bioinformatics (Oxford, England) · 2011Article
- Drug-target network in myocardial infarction reveals multiple side effects of unrelated drugs.Scientific reports · 2011Article
- Gender-specific cytokine pathways, targets, and biomarkers for the switch from health to adenoma and colorectal cancer.Clinical & developmental immunology · 2011Article
- Analysis of the Protein-Protein Interaction Network Identifying c-Met as a Target of Gigantol in the Suppression of Lung Cancer Metastasis.Cancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe identification of potentially relevant biomarkers and a deeper understanding of molecular mechanisms related to heart failure (HF) development can be enhanced by the implementation of biological network-based analyses. To support these efforts, here we report a global network of protein-protein interactions (PPIs) relevant to HF, which was characterized through integrative bioinformatic analyses of multiple sources of "omic" information.
resultsWe found that the structural and functional architecture of this PPI network is highly modular. These network modules can be assigned to specialized processes, specific cellular regions and their functional roles tend to partially overlap. Our results suggest that HF biomarkers may be defined as key coordinators of intra- and inter-module communication. Putative biomarkers can, in general, be distinguished as "information traffic" mediators within this network. The top high traffic proteins are encoded by genes that are not highly differentially expressed across HF and non-HF patients. Nevertheless, we present evidence that the integration of expression patterns from high traffic genes may support accurate prediction of HF. We quantitatively demonstrate that intra- and inter-module functional activity may be controlled by a family of transcription factors known to be associated with the prevention of hypertrophy.
conclusionThe systems-driven analysis reported here provides the basis for the identification of potentially novel biomarkers and understanding HF-related mechanisms in a more comprehensive and integrated way.
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