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08.03.2017, 11:14 - nieeshoes - Rank 6 - 1159 Posts
lactic acid, ethanol and glucose.
Working with such big datasets can be expensive, too. Compiling the first human genome took 10 years and cost almost $3 billion. Now,
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, the costs of collecting and analyzing all these datasets have come down,
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, so it’s finally feasible to use them in tandem to answer big biological questions.
The important players
Scientists would like to understand the interplay between the genome and the proteome. Add in the metabolome. To make things more complex,
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, there’s the epigenome — the chemical modifications to DNA that help control which genes are turned on and off — and the transcriptome, the full range of RNAs that translate DNA’s blueprints so they can be used to make proteins. It’s no surprise that mapping such a comprehensive network for any organism is still a distant goal.
For now,
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, scientists tend to focus their multi-omic studies on a particular disease or question. Baliga wants to learn how tuberculosis — which sickens nearly 10 million people per year and kills 1.5 million — evades drugs within the body. Many strains of the TB bacterium are resistant to existing treatments or can tolerate them long enough to establish a strong foothold.
To learn how Mycobacterium tuberculosis mounts a defense against a drug,
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, Baliga is first looking within the bacterium,
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, identifying the genes,
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, proteins and other molecules that interact as the microbe infects a host.
He collects different types of omic data from M,
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. tuberculosis alone and when it’s in the presence of an antibiotic. His team recently

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