the scientists mapped.



Source: E,
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. Peterson et al/Nature Microbiol. 2016


That is,
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, if you’re scanning millions of data points looking for variation, you’re going to find certain abnormalities that are due to chance and are unrelated to the disease or
question at hand. But starting from that smaller dataset of outputs that change,
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, scientists can then test which players are actually important in the network and which belong on the sidelines. In animal models or petri dishes,
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, scientists disable one gene at a time to see how it affects the proposed network.
“Systems biology has been able to generate these amazing hypotheses about how genes interact,
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,” Baliga says. Testing them has historically been more challenging. But now, gene-editing technologies such as CRISPR/Cas9 (SN: 9/3/16, p. 22) allow scientists to more easily test these networks in living systems,
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.
Baliga and his team edited the genome of M,
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. tuberculosis, disabling the regulatory machinery responsible for some of the overactive genes. Sure enough, the drug worked better on the modified bacteria,
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, the researchers reported.
Networking solutions
Once a network has been mapped, scientists can use it to predict (and maybe even prevent) illness.
Baliga’s team identified a second drug that works with bedaquiline. The drug turns off some of the regulators

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