Nature Biotechnology - CURRENT ISSUE : November 2009 - Vol 27 No 11
- Escherichia coli genome annotation
- Identifying genuine iPS cells
- Targeted DNA capture with microdroplets
LATEST HIGHLIGHTS
Current Issue
Methods for reprogramming human cells cannot prospectively distinguish true induced pluripotent stem (iPS) cells from cells that are only partially reprogrammed. Using live imaging to track the reprogramming process, Chan et al. define a set of markers that allows identification of rare iPS cells within a heterogeneous population.
Current Issue
High-throughput genome annotation
Resource by Cho et al.Cho et al. reconstruct the regulatory and functional architecture of the E. coli genome by integrating data from several high-throughput measurements. The detailed map will allow developing more detailed models of the networks controlling transcription and translation in E. coli.
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Handling the negotiation process can be tricky for all involved. Here, the authors break down a software program that can help.
Current Issue
Gold rush for induced pluripotent cells
News Feature by WebbAs the first commercial ventures are formed around induced pluripotent stem cells, who will have freedom to operate commercially remains an unknown.
Current Issue
Defining P450 substrates
Resource by Veith et al.Cytochrome P450 enzymes metabolize drugs and contribute to harmful drug-drug interactions. To decipher p450 activities, Veith et al. screen 17,000 compounds, including >1,000 FDA-approved drugs, against five important P450 isozymes and identify chemical structures that are enriched in compounds active against specific isozymes.
Current Issue
Genome targeting with microdroplets
Article by Tewhey et al.In many sequencing applications, it is sufficient to sequence selected portions of a genome rather than the complete genome. Tewhey et al. describe an approach for massively parallel genome targeting that relies on PCR in microdroplets generated by a microfluidic device.
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Special Section
With a flood of cancer genome sequences expected soon, distinguishing 'driver' from 'passenger' mutations will be an important task. Wang et al. describe a bioinformatic method for identifying cancer-associated fusions and apply it to discover a recurrent rearrangement in lung cancer.

