.png){kind=icon}
.png){kind=icon}
Return
High-throughput RNA profiling via up-front sample parallelization
.png){kind=icon}
OA
AI
DOI：10.1038/NMETH.3311.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
MICRORNA EXPRESSION PROFILES
GENE-EXPRESSION
DNA MICROARRAY
MESSENGER-RNA
NORMALIZATION
SIGNATURES
PCR
SEQ
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.