Transcriptomics

Dataset Information

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An internally normalized approach to comparing RNA levels between samples using nucleoside recoding chemistry


ABSTRACT: RNA sequencing allows for transcriptome-wide comparative studies of RNA levels, including gene expression, localization in subcellular compartments, or content of ribonucleoprotein complexes. It is often challenging, however, to separate real biological variation from technical artifacts arising from variable sample preparation, uneven contamination and difficulties normalizing sequencing counts between samples. These challenges are magnified in complex biochemical preparations, such as isolating polysomes to study translation. To address these challenges, we developed TILAC, an approach to compare RNA content between samples with internal controls and normalization. TILAC uses two different metabolic labels (4-thiouridine, s4U, and 6-thioguanisine, s6G) to differentially label RNA from each condition, allowing the samples to be pooled prior to downstream processing. TILAC uses nucleotide-recoding chemistry and sequencing to determine which RNAs are enriched in each sample. TILAC accurately identifies known changes in the transcriptome during RNA polymerase II inhibition and heat shock response. Using TILAC, we discovered a set of transcripts that are enriched in actively-translating ribosome complexes during stress, including MCM2 and DDX5, and verified their translational upregulation. These results demonstrate the power of TILAC to uncover differences between samples revealing new biology.

ORGANISM(S): Homo sapiens Drosophila melanogaster

PROVIDER: GSE168716 | GEO | 2022/08/04

REPOSITORIES: GEO

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