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A new study from Johns Hopkins and Rosetta researchers finds the miRview NSCLC test to be effective.

The projects include studies focused on defining the mechanisms of miRNA-target interactions, uncovering the role of a specific miRNA in Caenorhabditis elegans, determining the impact of the small RNAs in brain cancer and cardiac hypertrophy.

Papers of Note: Jan 7, 2010


RNAi- and microRNA-Related Papers Published December 2009

Norgen Biotek, Drug Information Association

Researchers from Australia and the US have used genotyping, microRNA analysis, and mitochondrial and transcriptome sequencing to tackle a transmissible Tasmanian devil cancer.

The news wasn't a complete surprise given the general difficulties in measuring and interpreting blood-borne miRNA signatures, as well as the firm's own admission in September that "technical obstacles" had been stymieing its efforts to develop the screen.

"I've been absolutely blown away by the microRNA field and the way it's blossomed," University of Massachusetts Medical School researcher and Nobel laureate Craig Mello said. "There is just one story after another [showing that] microRNAs … are very critical to many aspects of either disease or development."

IP Update: Dec 31, 2009


USPTO Publishes Five Patents, Twenty Patent Applications Related to RNAi

The firm reported no revenues for the quarter, but it anticipates revenues of between $2 million and $4 million in 2010 tied to sales of its microRNA-based tests.

According to Nobel laureate Craig Mello, RNAi for research applications "really is very reliable and it works very well. I think where it was over-hyped is this notion that you can just give a patient RNA and expect them to get better."


A study of families explores how children transmit SARS-CoV-2, according to the Associated Press.

US Agricultural Research Service scientists have sequenced the genome of the Asian giant hornet.

According to the Economist, pooled testing for COVID-19 could help alleviate strains on testing labs.

In Science this week: MIT researchers outline approach dubbed translatable components regression to predict treatment response among IBD patients.