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Identifying iPS cells
Letter by Chan et al.

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.


Advance Online Publication

Lengthening telomeres without telomerase
Letter from Henson et al.

Telomerase-independent telomere lengthening is a potential target for cancer therapy, but molecules specific to this pathway have remained elusive. Henson et al. show that DNA circles of (CCCTAA)n are specific intermediates of alternative lengthening of telomeres and present a sensitive assay to detect them.


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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 Webb

As the first commercial ventures are formed around induced pluripotent stem cells, who will have freedom to operate commercially remains an unknown.


Advance Online Publication

Photosynthetic biofuel production
Letter by Atsumi et al.

The feasibility of recycling CO2 to biofuels in photosynthetic organisms will depend on advances in productivity and product-purification efficiency. Atsumi et al. improve the direct conversion of CO2 by engineering Synechococcus elongatus to produce isobutyraldehyde, which can be easily recovered from the production medium.


Advance Online Publication

Extending half-life in plasma
Letter by Schellenberger et al.

Rapid clearance frequently complicates therapeutic use of proteins and peptides. Schellenberger et al. demonstrate that genetic fusion of an unstructured polypeptide offers a general strategy to extend peptide or protein half-life in vivo in a tunable manner.


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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.



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