Journal
NATURE METHODS
Volume 12, Issue 4, Pages 343-U99Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.3311
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Funding
- Yale Cancer Center
- Honorable Tina Brozman Foundation
- Rudolph Anderson fellowship
- Leslie Warner fellowship
- Clinical and Translational Science Award from National Center for Advancing Translational Sciences, of the US National Institutes of Health [UL1 TR000142, KL2 TR000140]
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We describe a method called modular, early-tagged amplification (META) RNA profiling that can quantify a broad panel of microRNAs or mRNAs simultaneously across many samples and requires far less sequence depth than existing digital profiling technologies. The method assigns quantitative tags during reverse transcription to permit up-front sample pooling before competitive amplification and deep sequencing. This simple, scalable and inexpensive approach improves the practicality of large-scale gene expression studies.
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