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, and
cancer metastasis in collaboration with other labs at Harvard, Yale, The Jackson Laboratory, Memorial Sloan Kettering
Cancer Center, MIT, and
Cancer 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 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 the
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 the
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 the
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 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