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GENE NETWORKS. “The inference of gene and molecular networks is focused on mapping the mechanistic and structural properties of the system. Genome-wide gene network analyses typically produce large networks that involve hundreds of gene interactions. Such networks might have interesting topological properties that are biologically meaningful, but are normally difficult to interpret in terms of cellular functionality.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn

THE BIGGER HOPE. “More generally, systems biology holds the promise of helping to decrease the time and costs of developing new drugs and also helping to provide more targeted and safe candidate drugs by leveraging pathway analysis.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn

THE HOPE. “If systems biology can rise to the challenge of predicting the mutations that are most likely to allow a cancer to relapse, we may be able to design multi-drug treatments that will prevent cancers from evading conventional drug treatments.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn

“ONE POSSIBLE SOLUTION is the use of network concepts to identify groups of genes that when perturbed give the same phenotype and hence form a disease module.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn

UNRESOLVED ISSUES. “While it is rare that cataloguing mutations in cancer alone will reveal both mechanisms of disease progression and potential drugable targets, we are left with the greater challenge of understanding how some cancers can relapse after treatment.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn

APPLICATIONS IN CANCER. “A particularly compelling set of use cases for the application of systems biology to understand the genomics of disease can be found in cancer. Efforts to characterize the most prevalent mutations of various cancers by The Cancer Genome Atlas (TCGA) Research Network have revealed recurrent mutations in specific pathways.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn

PREDICTIVE DATA. “Adopting methods from systems biology to marshall the data into tractable, predictive models can shed light on the contributions of these individual variants to the phenotypes under study.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn

KIWI rotting time lapse. The colonization of a rotting fruit by numerous species of microorganisms is a sight to behold. https://lnkd.in/du3sVNb View in LinkedIn

FLOWERS opening time lapse. Having many moving parts of complex geometry that are designed both to origami into a tidy minimal shape, and to expand maximally to attract the world can be best appreciated at this speed. https://youtu.be/m6Uw2DJ9Md8 View in LinkedIn

DODDER time lapse. This parasitic plant needs to hunt its prey to survive, and follows chemical scents to select the best host. Intentionality is quite evident at this time scale. https://lnkd.in/dKDBVed View in LinkedIn