Description
Ribosome Profiling, 1st ed. 2021
Methods and Protocols
Methods in Molecular Biology Series, Vol. 2252
Coordinator: Labunskyy Vyacheslav M.
Language: EnglishSubject for Ribosome Profiling:
Publication date: 03-2021
348 p. · 17.8x25.4 cm · Paperback
Publication date: 03-2021
348 p. · 17.8x25.4 cm · Hardback
Description
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Part I: Experimental Protocols
1. Monitoring Bacterial Translation Rates Genome-Wide
Eugene Oh
2. Identification of Translation Start Sites in Bacterial Genomes
Sezen Meydan, Dorota Klepacki, Alexander S. Mankin, and Nora Vázquez-Laslop
3. Genome-Wide Ribosome Profiling of the Plasmodium falciparum Intraerythrocytic Developmental Cycle
Florence Caro and Joseph L. DeRisi
4. Performing Ribosome Profiling to Assess Translation in Vegetative and Meiotic Yeast Cells
Emily Nicole Powers and Gloria Ann Brar
5. Quantitative Comparisons of Translation Activity by Ribosome Profiling with Internal Standards
Yinuo J. Wang and Wendy V. Gilbert
6. Genome-Wide Analysis of Translation in Replicatively Aged Yeast
Hanna Barlit, Manish K. Rai, Sara Shoushtari, Carine Beaupere, and Vyacheslav M. Labunskyy
7. Tissue-Specific Ribosome Profiling in Drosophila
Xun Chen and Dion Dickman
8. Measuring Organ-Specific Translation Elongation Rate in Mice
Maxim Gerashchenko and Vadim N. Gladyshev
9. Active Ribosome Profiling with RiboLace: From Bench to Data Analysis
Massimiliano Clamer, Fabio Lauria, Toma Tebaldi, and Gabriella Viero
10. Poly-A Tailing and Adaptor Ligation Methods for Ribo-Seq Library Construction
Jingfan Qiu and Shu-Bing Qian
11. Choice of Ribonucleases for Ribosome Profiling Experiments
Maxim Gerashchenko
Part II: Bioinformatics and Statistical Analysis
12. Codon Resolution Analysis of Ribosome Profiling Data
Alexander Bartholomäus and Zoya Ignatova
13. Assessing Ribosome Distribution Along Transcripts with Polarity Scores and Regression Slope Estimates
Ilya E. Vorontsov, Artyom A. Egorov, Aleksandra S. Anisimova, Irina A. Eliseeva, Vsevolod J. Makeev, Vadim N. Gladyshev, Sergey E. Dmitriev, and Ivan V. Kulakovskiy
14. Unsupervised Bayesian Prediction of RNA Translation from Ribosome Profiling Data
Etienne Boileau and Christoph Dieterich
15. uORF-seqr: A Machine Learning-Based Approach to the Identification of Upstream Open Reading Frames in Yeast
Pieter Spealman, Armaghan Naik, and Joel McManus
16. Genome-Wide Analysis of Actively Translated Open Reading Frames Using RiboTaper/ORFquant
Dermot Harnett, Eelco Meerdink, Lorenzo Calviello, Dominique Sydow, and Uwe OhlerIncludes cutting-edge techniques
Provides step-by-step detail essential for reproducible results
Contains key implementation advice from the experts