Sentences with phrase «cancer signalling network»

For the interaction and network data we used three detailed signalling network resources, SignaLink 2,25 Reactome, 26 and a cancer signalling network compiled by Cui et al. 10, as well as two more global protein - protein interaction (PPI) networks, namely the manually curated HPRD, 27 resource and the integrated dataset comprising DIP, 28 IntAct, 29 and BioGrid.30 All these networks have different compilation protocols and thereby provide partially different information.
In other disease areas, the Parkinson's disease map and the Atlas of Cancer Signalling Network, have already begun the process of integrating knowledge about the involved mechanisms in order to understand the different subtypes of these diseases.

Not exact matches

His research focuses on the cancer biology, drug resistance, and signaling pathway networks of human diseases as well as on ways to model these disorders.
To this end Dr. Linding is currently leading high - level, strategic, multidisciplinary studies of signaling network dynamics driving cancer metastasis in collaboration with other labs at Harvard, Yale, The Jackson Laboratory, Memorial Sloan Kettering Cancer Center, MIT, andcancer metastasis in collaboration with other labs at Harvard, Yale, The Jackson Laboratory, Memorial Sloan Kettering Cancer Center, MIT, andCancer Center, MIT, and BRIC.
In particular, his laboratory focuses on the regulation of key signaling networks that regulate cancer cell growth and survival.
«We call Hsp90 inhibitors «network drugs» because they tackle several of the signals that are hijacked in cancer all at once, across a network rather than just a single signalling pathway.
The effects of mutations and other genetic changes in cancer cells play out in the complex networks of molecular interactions or «signaling pathways» involved in cell growth, proliferation, and other hallmarks of cancer biology.
Stuart explained that the integrated datasets from multiple analyses enabled the researchers to build a generic model of the signaling networks involved in metastatic prostate cancer.
«Our goal is to decipher the signaling networks that regulate chemotaxis and to determine how they are altered in metastatic cancer cells,» says Klemke.
In August 2016, Brooke joined the faculty at SBP Medical Discovery Institute as an Assistant Professor in the Cancer Metabolism and Signaling Networks Program.
The Kops group studies the signaling networks that regulate chromosome segregation, the evolution of cell division processes and the role of chromosomal instability in cancer.
Defining these networks should also provide new strategies and targets for combating diseases that result from disrupted signaling pathways, including cancer.
Moreover, PHENONIM - ICS is involved in European projects presenting a strong impact on human health: Interreg CARDIOGENE (Genetic mechanisms of cardiovascular diseases), GENCODYS (Genetic and epigenetic networks involved in cognitive dysfunctions), AgedBrainSYSBIO (Basic studies of brain aging), as well as projects in partnership with industry: MAGenTA (an Industrial Strategic Innovation project supported by Bpifrance about the treatment of major urogenital diseases) and CanPathPro (H2020 program), to develop a predictive modeling platform of signaling pathways involved in cancers.
Future studies will clarify how the combination of stromal network structure, tumor cell signaling and extracellular signaling cues influence cancer cell migration and metastasis.
Specifically, we measured 14 phosphoproteins under 43 different perturbed conditions (combinations of 5 stimuli and 7 inhibitors) in 14 colorectal cancer cell lines, building cell line - specific dynamic logic models of underlying signaling networks.
Based on these observations, we now suggest a strategy for disrupting cancer - specific interactomes and signalling networks by targeting first neighbour proteins of cancer - related proteins, especially the first neighbours of differentially expressed proteins.
The Cancer Gene Census (CGC) database contains 547 such gene across various cancer types.5 Remarkably, few driver genes having specific point mutations appear to be sufficient to rewire signalling networks in cancer, 1 which at the same time shows that — at least from the mutational side — cancer does not consist of an «infinite» number of different diseases, and in many cases treatment options targeted against driver genes might be transferred from one case to theCancer Gene Census (CGC) database contains 547 such gene across various cancer types.5 Remarkably, few driver genes having specific point mutations appear to be sufficient to rewire signalling networks in cancer, 1 which at the same time shows that — at least from the mutational side — cancer does not consist of an «infinite» number of different diseases, and in many cases treatment options targeted against driver genes might be transferred from one case to thecancer types.5 Remarkably, few driver genes having specific point mutations appear to be sufficient to rewire signalling networks in cancer, 1 which at the same time shows that — at least from the mutational side — cancer does not consist of an «infinite» number of different diseases, and in many cases treatment options targeted against driver genes might be transferred from one case to thecancer, 1 which at the same time shows that — at least from the mutational side — cancer does not consist of an «infinite» number of different diseases, and in many cases treatment options targeted against driver genes might be transferred from one case to thecancer does not consist of an «infinite» number of different diseases, and in many cases treatment options targeted against driver genes might be transferred from one case to the next.
In this work we have shown that the first neighbours of cancer - related proteins have at least as central a position in various human signalling and PPI networks as the corresponding cancer - related proteins themselves (Fig. 1, Supplementary Fig. 1, Supplementary Table 5).
To understand the selection mechanism behind mutations, network - based studies were used to estimate the importance of a mutated protein compared to non-mutated ones in signalling and protein — protein interaction networks.10, 11,12,13 Proteins mutated in cancer were found having a high number of interacting partners (i.e., a high degree of connectivity), which indicates high local importance.10 Mutated proteins are also often found in the centre of the network, in key global positions, as quantified by the number of shortest paths passing through them if all proteins are connected with each other (i.e., they have high betweenness centrality; hereafter called betweenness).11, 12 Mutated proteins also have high clustering coefficients, which means their neighbours are also neighbours of each other.10, 13 Moreover, neighbourhood analysis of mutated proteins have been previously successfully used to predict novel cancer - related genes.14, 15 However, to the best of our knowledge, no study has concentrated particularly on the topological importance of first neighbours of mutated proteins in cancer, and their usefulness as drug targets themselves.
When we examined signalling systems in cancer, we found two distinct strategies how mutations and differentially expressed genes affect the network.
Signaling Networks Controlling HCC Onset and Progression: Influence of Microenvironment and Implications for Cancer Gene Therapy
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