ScienceDaily: Most Popular News

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• Novel technology to produce gasoline by a metabolically-engineered microorganism
• Largest, most accurate list of RNA editing sites
• Wagon-wheel pasta shape for better LED lights
• Understanding how infants acquire new words across cultures
• New survey of DNA alterations could aid search for cancer genes

Novel technology to produce gasoline by a metabolically-engineered microorganism Posted: 29 Sep 2013 11:27 AM PDT Scientists have reported, for the first time, the development of a novel strategy for microbial gasoline production through metabolic engineering of E. coli.

Largest, most accurate list of RNA editing sites Posted: 29 Sep 2013 11:27 AM PDT Researchers have compiled the largest and most rigorously validated list to date of the genetic sites in fruit flies where RNA transcribed from DNA is then edited by an enzyme to affect a wide variety of fundamental biological functions. The list yielded several biological insights and can aid further research on RNA transcription because flies are a common model in that work.

Wagon-wheel pasta shape for better LED lights Posted: 29 Sep 2013 11:23 AM PDT A problem developing more efficient organic LED light bulbs and displays is that much of the light is trapped within the light-emitting diode, or LED. Physicists believe they have solved the problem by creating a new organic molecule that is shaped like rotelle – wagon-wheel pasta – rather than spaghetti.

Understanding how infants acquire new words across cultures Posted: 27 Sep 2013 09:34 AM PDT Infants show strong universals as they acquire their native language, but a recent study with infants acquiring Korean also reveals that there are striking language differences. A new study provides the first ever evidence comparing how infants (monolingual, from Korea) acquiring Korean learn new nouns and verbs.

New survey of DNA alterations could aid search for cancer genes Posted: 27 Sep 2013 09:34 AM PDT Scanning the DNA of nearly 5,000 tumor samples, a team led of scientists has identified 140 regions of scrambled genetic code believed to contain many undiscovered cancer genes. Mapping of the abnormal regions gives cancer scientists a starting point from which to search for as-yet undiscovered oncogenes and broken tumor-suppressor genes.

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