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Dual randomization of oligonucleotides to reduce the bias in ribosome-profiling libraries.
Lecanda, Aarón; Nilges, Benedikt S; Sharma, Puneet; Nedialkova, Danny D; Schwarz, Juliane; Vaquerizas, Juan M; Leidel, Sebastian A.
  • Lecanda A; Max Planck Research Group for RNA Biology, Max Planck Institute for Molecular Biomedicine, Von-Esmarch-Strasse 54, 48149 Muenster, Germany; Muenster Graduate School of Evolution, University of Muenster, 48149 Muenster, Germany; Cells-in-Motion Cluster of Excellence, University of Muenster, 48149 Mue
  • Nilges BS; Max Planck Research Group for RNA Biology, Max Planck Institute for Molecular Biomedicine, Von-Esmarch-Strasse 54, 48149 Muenster, Germany; Cells-in-Motion Cluster of Excellence, University of Muenster, 48149 Muenster, Germany.
  • Sharma P; Max Planck Research Group for RNA Biology, Max Planck Institute for Molecular Biomedicine, Von-Esmarch-Strasse 54, 48149 Muenster, Germany; Cells-in-Motion Cluster of Excellence, University of Muenster, 48149 Muenster, Germany.
  • Nedialkova DD; Max Planck Research Group for RNA Biology, Max Planck Institute for Molecular Biomedicine, Von-Esmarch-Strasse 54, 48149 Muenster, Germany; Cells-in-Motion Cluster of Excellence, University of Muenster, 48149 Muenster, Germany.
  • Schwarz J; Max Planck Research Group for RNA Biology, Max Planck Institute for Molecular Biomedicine, Von-Esmarch-Strasse 54, 48149 Muenster, Germany; Cells-in-Motion Cluster of Excellence, University of Muenster, 48149 Muenster, Germany.
  • Vaquerizas JM; Muenster Graduate School of Evolution, University of Muenster, 48149 Muenster, Germany; Cells-in-Motion Cluster of Excellence, University of Muenster, 48149 Muenster, Germany; Max Planck Research Group for Regulatory Genomics, Max Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149
  • Leidel SA; Max Planck Research Group for RNA Biology, Max Planck Institute for Molecular Biomedicine, Von-Esmarch-Strasse 54, 48149 Muenster, Germany; Muenster Graduate School of Evolution, University of Muenster, 48149 Muenster, Germany; Cells-in-Motion Cluster of Excellence, University of Muenster, 48149 Mue
Methods ; 107: 89-97, 2016 09 01.
Article en En | MEDLINE | ID: mdl-27450428
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 ribosome-profiling protocol starting from yeast, human cells and vertebrate brain tissue. We use a DNA linker carrying four randomized positions at its 5' end 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 (PCR) artifacts is relatively small for global analyses when sufficient input material is used. However, when input material is limiting, our strategy improves the sensitivity of gene-specific analyses. Furthermore, randomized nucleotides alleviate the skewed frequency of specific sequences at the 3' end of ribosome-protected fragments (RPFs) likely resulting from ligase specificity. Finally, strategies that rely on dual ligation show a high degree of gene-coverage variation. Taken together, our approach helps to remedy two of the main problems associated with ribosome-profiling data. This will facilitate the analysis of translational dynamics and increase our understanding of the influence of RNA modifications on translation.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ribosomas / Ingeniería Genética / Perfilación de la Expresión Génica / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Clinical_trials Límite: Humans Idioma: En Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ribosomas / Ingeniería Genética / Perfilación de la Expresión Génica / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Clinical_trials Límite: Humans Idioma: En Año: 2016 Tipo del documento: Article