Differential protein occupancy profiling of the mRNA transcriptome

Research output: Contribution to journalJournal articleResearchpeer-review

  • Markus Schueler
  • Mathias Munschauer
  • Gregersen, Lea Haarup
  • Ana Finzel
  • Alexander Loewer
  • Wei Chen
  • Markus Landthaler
  • Christoph Dieterich

BACKGROUND: RNA-binding proteins (RBPs) mediate mRNA biogenesis, translation and decay. We recently developed an approach to profile transcriptome-wide RBP contacts on polyadenylated transcripts by next-generation sequencing. A comparison of such profiles from different biological conditions has the power to unravel dynamic changes in protein-contacted cis-regulatory mRNA regions without a priori knowledge of the regulatory protein component.

RESULTS: We compared protein occupancy profiles of polyadenylated transcripts in MCF7 and HEK293 cells. Briefly, we developed a bioinformatics workflow to identify differential crosslinking sites in cDNA reads of 4-thiouridine crosslinked polyadenylated RNA samples. We identified 30,000 differential crosslinking sites between MCF7 and HEK293 cells at an estimated false discovery rate of 10%. 73% of all reported differential protein-RNA contact sites cannot be explained by local changes in exon usage as indicated by complementary RNA-seq data. The majority of differentially crosslinked positions are located in 3' UTRs, show distinct secondary-structure characteristics and overlap with binding sites of known RBPs, such as ELAVL1. Importantly, mRNA transcripts with the most significant occupancy changes show elongated mRNA half-lives in MCF7 cells.

CONCLUSIONS: We present a global comparison of protein occupancy profiles from different cell types, and provide evidence for altered mRNA metabolism as a result of differential protein-RNA contacts. Additionally, we introduce POPPI, a bioinformatics workflow for the analysis of protein occupancy profiling experiments. Our work demonstrates the value of protein occupancy profiling for assessing cis-regulatory RNA sequence space and its dynamics in growth, development and disease.

Original languageEnglish
Article numberR15
JournalGenome Biology
Volume15
Issue number1
ISSN1474-7596
DOIs
Publication statusPublished - 13 Jan 2014
Externally publishedYes

    Research areas

  • Computational Biology, Gene Expression Regulation, HEK293 Cells, High-Throughput Nucleotide Sequencing, Humans, MCF-7 Cells, RNA, Messenger/genetics, RNA-Binding Proteins/genetics, Sequence Analysis, RNA, Transcription, Genetic, Transcriptome

ID: 328236641