Biomaterial Database

On the optimal design of metabolic RNA labeling experiments. 2019

Alexey Uvarovskii, and Isabel S Naarmann-de Vries, and Christoph Dieterich

Klaus Tschira Institute for Integrative Computational Cardiology and Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany.

Massively parallel RNA sequencing (RNA-seq) in combination with metabolic labeling has become the de facto standard approach to study alterations in RNA transcription, processing or decay. Regardless of advances in the experimental protocols and techniques, every experimentalist needs to specify the key aspects of experimental design: For example, which protocol should be used (biochemical separation vs. nucleotide conversion) and what is the optimal labeling time? In this work, we provide approximate answers to these questions using the asymptotic theory of optimal design. Specifically, we investigate, how the variance of degradation rate estimates depends on the time and derive the optimal time for any given degradation rate. Subsequently, we show that an increase in sample numbers should be preferred over an increase in sequencing depth. Lastly, we provide some guidance on use cases when laborious biochemical separation outcompetes recent nucleotide conversion based methods (such as SLAMseq) and show, how inefficient conversion influences the precision of estimates. Code and documentation can be found at https://github.com/dieterich-lab/DesignMetabolicRNAlabeling.

UI	MeSH Term	Description	Entries
D007700	Kinetics	The rate dynamics in chemical or physical systems.
D008954	Models, Biological	Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.	Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012313	RNA	A polynucleotide consisting essentially of chains with a repeating backbone of phosphate and ribose units to which nitrogenous bases are attached. RNA is unique among biological macromolecules in that it can encode genetic information, serve as an abundant structural component of cells, and also possesses catalytic activity. (Rieger et al., Glossary of Genetics: Classical and Molecular, 5th ed)	RNA, Non-Polyadenylated,Ribonucleic Acid,Gene Products, RNA,Non-Polyadenylated RNA,Acid, Ribonucleic,Non Polyadenylated RNA,RNA Gene Products,RNA, Non Polyadenylated
D012323	RNA Processing, Post-Transcriptional	Post-transcriptional biological modification of messenger, transfer, or ribosomal RNAs or their precursors. It includes cleavage, methylation, thiolation, isopentenylation, pseudouridine formation, conformational changes, and association with ribosomal protein.	Post-Transcriptional RNA Modification,RNA Processing,Post-Transcriptional RNA Processing,Posttranscriptional RNA Processing,RNA Processing, Post Transcriptional,RNA Processing, Posttranscriptional,Modification, Post-Transcriptional RNA,Modifications, Post-Transcriptional RNA,Post Transcriptional RNA Modification,Post Transcriptional RNA Processing,Post-Transcriptional RNA Modifications,Processing, Posttranscriptional RNA,Processing, RNA,RNA Modification, Post-Transcriptional,RNA Modifications, Post-Transcriptional
D014158	Transcription, Genetic	The biosynthesis of RNA carried out on a template of DNA. The biosynthesis of DNA from an RNA template is called REVERSE TRANSCRIPTION.	Genetic Transcription
D017423	Sequence Analysis, RNA	A multistage process that includes cloning, physical mapping, subcloning, sequencing, and information analysis of an RNA SEQUENCE.	RNA Sequence Analysis,Sequence Determination, RNA,Analysis, RNA Sequence,Determination, RNA Sequence,Determinations, RNA Sequence,RNA Sequence Determination,RNA Sequence Determinations,RNA Sequencing,Sequence Determinations, RNA,Analyses, RNA Sequence,RNA Sequence Analyses,Sequence Analyses, RNA,Sequencing, RNA
D059014	High-Throughput Nucleotide Sequencing	Techniques of nucleotide sequence analysis that increase the range, complexity, sensitivity, and accuracy of results by greatly increasing the scale of operations and thus the number of nucleotides, and the number of copies of each nucleotide sequenced. The sequencing may be done by analysis of the synthesis or ligation products, hybridization to preexisting sequences, etc.	High-Throughput Sequencing,Illumina Sequencing,Ion Proton Sequencing,Ion Torrent Sequencing,Next-Generation Sequencing,Deep Sequencing,High-Throughput DNA Sequencing,High-Throughput RNA Sequencing,Massively-Parallel Sequencing,Pyrosequencing,DNA Sequencing, High-Throughput,High Throughput DNA Sequencing,High Throughput Nucleotide Sequencing,High Throughput RNA Sequencing,High Throughput Sequencing,Massively Parallel Sequencing,Next Generation Sequencing,Nucleotide Sequencing, High-Throughput,RNA Sequencing, High-Throughput,Sequencing, Deep,Sequencing, High-Throughput,Sequencing, High-Throughput DNA,Sequencing, High-Throughput Nucleotide,Sequencing, High-Throughput RNA,Sequencing, Illumina,Sequencing, Ion Proton,Sequencing, Ion Torrent,Sequencing, Massively-Parallel,Sequencing, Next-Generation
D061986	MCF-7 Cells	An estrogen responsive cell line derived from a patient with metastatic human breast ADENOCARCINOMA (at the Michigan Cancer Foundation.)	MCF7 Cells,Michigan Cancer Foundation 7 Cells,Cell, MCF-7,Cell, MCF7,Cells, MCF-7,Cells, MCF7,MCF 7 Cells,MCF-7 Cell,MCF7 Cell
D019295	Computational Biology	A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.	Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational