ArticleBMC medical genomics2010
Dynamic cross-talk analysis among TNF-R, TLR-4 and IL-1R signalings in TNFalpha-induced inflammatory responses.
Article in BMC medical genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 39 citations in OpenAlex.
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- Dynamic network-based relevance score reveals essential proteins and functional modules in directed differentiation.Stem cells international · 2015Article
- Identification of Major Signaling Pathways in Prion Disease Progression Using Network Analysis.PloS one · 2015Article
- Anti-Inflammatory Activity of Triterpenes Isolated from Protium paniculatum Oil-Resins.Evidence-based complementary and alternative medicine : eCAM · 2015Article
- On the crucial cerebellar wound healing-related pathways and their cross-talks after traumatic brain injury in Danio rerio.PloS one · 2014Article
- Cucurbitacin E exhibits anti-inflammatory effect in RAW 264.7 cells via suppression of NF-κB nuclear translocation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2013Article
- Expression, regulation, and function of atypical chemerin receptor CCRL2 on endothelial cells.Journal of immunology (Baltimore, Md. : 1950) · 2012Article
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- Charting the NF-κB pathway interactome map.PloS one · 2012Article
- Human protein reference database and human proteinpedia as discovery resources for molecular biotechnology.Molecular biotechnology · 2011Article
- A network-based biomarker approach for molecular investigation and diagnosis of lung cancer.BMC medical genomics · 2011Article
- The influence of tumour necrosis factor- α (TNF-α) on amyloid-β (Aβ)-degrading enzymes in vitro.International journal of molecular epidemiology and genetics · 2011Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDevelopment in systems biology research has accelerated in recent years, and the reconstructions for molecular networks can provide a global view to enable in-depth investigation on numerous system properties in biology. However, we still lack a systematic approach to reconstruct the dynamic protein-protein association networks at different time stages from high-throughput data to further analyze the possible cross-talks among different signaling/regulatory pathways.
methodsIn this study we integrated protein-protein interactions from different databases to construct the rough protein-protein association networks (PPANs) during TNFalpha-induced inflammation. Next, the gene expression profiles of TNFalpha-induced HUVEC and a stochastic dynamic model were used to rebuild the significant PPANs at different time stages, reflecting the development and progression of endothelium inflammatory responses. A new cross-talk ranking method was used to evaluate the potential core elements in the related signaling pathways of toll-like receptor 4 (TLR-4) as well as receptors for tumor necrosis factor (TNF-R) and interleukin-1 (IL-1R).
resultsThe highly ranked cross-talks which are functionally relevant to the TNFalpha pathway were identified. A bow-tie structure was extracted from these cross-talk pathways, suggesting the robustness of network structure, the coordination of signal transduction and feedback control for efficient inflammatory responses to different stimuli. Further, several characteristics of signal transduction and feedback control were analyzed.
conclusionsA systematic approach based on a stochastic dynamic model is proposed to generate insight into the underlying defense mechanisms of inflammation via the construction of corresponding signaling networks upon specific stimuli. In addition, this systematic approach can be applied to other signaling networks under different conditions in different species. The algorithm and method proposed in this study could expedite prospective systems biology research when better experimental techniques for protein expression detection and microarray data with multiple sampling points become available in the future.
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Registered trials
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