Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Dual randomization of oligonucleotides to reduce the bias in ribosome-profiling libraries


ABSTRACT: Protein translation is at the heart of cellular metabolism and its in-depth characterization is key for many lines of research. Recently, ribosome profiling became the state-of-the-art method to quantitatively characterize translation dynamics at a transcriptome-wide level. However, the strategy of library generation affects its outcomes. Here, we present a modified ribosomeprofiling protocol starting from yeast, human cells and vertebrate brain tissue. We use a DNA linker carrying four randomized positions at its 5’ and a reverse-transcription (RT) primer with three randomized positions to reduce artifacts during library preparation. The use of seven randomized nucleotides allows to efficiently detect library-generation artifacts. We find that the effect of polymerase chain reaction (P

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Benedikt Nilges 

PROVIDER: E-GEOD-84746 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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