Ribosome profiling of HEK293T cells overexpressing codon optimized coagulation factor IX [version 2; peer review: 3 approved]
Ribosome profiling provides the opportunity to evaluate translation kinetics at codon level resolution. Here, we describe ribosome profiling data, generated from two HEK293T cell lines. The ribosome profiling data are composed of Ribo-seq (mRNA sequencing data from ribosome protected fragments) and...
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Published in | F1000 research Vol. 9; p. 174 |
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Main Authors | , , , , , , , , , , , |
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Language | English |
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Abstract | Ribosome profiling provides the opportunity to evaluate translation kinetics at codon level resolution. Here, we describe ribosome profiling data, generated from two HEK293T cell lines. The ribosome profiling data are composed of Ribo-seq (mRNA sequencing data from ribosome protected fragments) and RNA-seq data (total RNA sequencing). The two HEK293T cell lines each express a version of the
F9 gene, both of which are translated into identical proteins in terms of their amino acid sequences. However, these
F9 genes vary drastically in their codon usage and predicted mRNA structure. We also provide the pipeline that we used to analyze the data. Further analyzing this dataset holds great potential as it can be used i) to unveil insights into the composition and regulation of the transcriptome, ii) for comparison with other ribosome profiling datasets, iii) to measure the rate of protein synthesis across the proteome and identify differences in elongation rates, iv) to discover previously unidentified translation of peptides, v) to explore the effects of codon usage or codon context in translational kinetics and vi) to investigate cotranslational folding. Importantly, a unique feature of this dataset, compared to other available ribosome profiling data, is the presence of the
F9 gene in two very distinct coding sequences. |
---|---|
AbstractList | Ribosome profiling provides the opportunity to evaluate translation kinetics at codon level resolution. Here, we describe ribosome profiling data, generated from two HEK293T cell lines. The ribosome profiling data are composed of Ribo-seq (mRNA sequencing data from ribosome protected fragments) and RNA-seq data (total RNA sequencing). The two HEK293T cell lines each express a version of the F9 gene, both of which are translated into identical proteins in terms of their amino acid sequences. However, these F9 genes vary drastically in their codon usage and predicted mRNA structure. We also provide the pipeline that we used to analyze the data. Further analyzing this dataset holds great potential as it can be used i) to unveil insights into the composition and regulation of the transcriptome, ii) for comparison with other ribosome profiling datasets, iii) to measure the rate of protein synthesis across the proteome and identify differences in elongation rates, iv) to discover previously unidentified translation of peptides, v) to explore the effects of codon usage or codon context in translational kinetics and vi) to investigate cotranslational folding. Importantly, a unique feature of this dataset, compared to other available ribosome profiling data, is the presence of the F9 gene in two very distinct coding sequences. Ribosome profiling provides the opportunity to evaluate translation kinetics at codon level resolution. Here, we describe ribosome profiling data, generated from two HEK293T cell lines. The ribosome profiling data are composed of Ribo-seq (mRNA sequencing data from ribosome protected fragments) and RNA-seq data (total RNA sequencing). The two HEK293T cell lines each express a version of the F9 gene, both of which are translated into identical proteins in terms of their amino acid sequences. However, these F9 genes vary drastically in their codon usage and predicted mRNA structure. We also provide the pipeline that we used to analyze the data. Further analyzing this dataset holds great potential as it can be used i) to unveil insights into the composition and regulation of the transcriptome, ii) for comparison with other ribosome profiling datasets, iii) to measure the rate of protein synthesis across the proteome and identify differences in elongation rates, iv) to discover previously unidentified translation of peptides, v) to explore the effects of codon usage or codon context in translational kinetics and vi) to investigate cotranslational folding. Importantly, a unique feature of this dataset, compared to other available ribosome profiling data, is the presence of the F9 gene in two very distinct coding sequences. Ribosome profiling provides the opportunity to evaluate translation kinetics at codon level resolution. Here, we describe ribosome profiling data, generated from two HEK293T cell lines. The ribosome profiling data are composed of Ribo-seq (mRNA sequencing data from ribosome protected fragments) and RNA-seq data (total RNA sequencing). The two HEK293T cell lines each express a version of the F9 gene, both of which are translated into identical proteins in terms of their amino acid sequences. However, these F9 genes vary drastically in their codon usage and predicted mRNA structure. We also provide the pipeline that we used to analyze the data. Further analyzing this dataset holds great potential as it can be used i) to unveil insights into the composition and regulation of the transcriptome, ii) for comparison with other ribosome profiling datasets, iii) to measure the rate of protein synthesis across the proteome and identify differences in elongation rates, iv) to discover previously unidentified translation of peptides, v) to explore the effects of codon usage or codon context in translational kinetics and vi) to investigate cotranslational folding. Importantly, a unique feature of this dataset, compared to other available ribosome profiling data, is the presence of the F9 gene in two very distinct coding sequences. |
Author | Hunt, Ryan C Hettiarachchi, Gaya K Bar, Haim Hamasaki-Katagiri, Nobuko Athey, John C Alexaki, Aikaterini Katneni, Upendra K Kames, Jacob Komar, Anton A Kimchi-Sarfaty, Chava Holcomb, David D DiCuccio, Michael |
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Cites_doi | 10.1016/j.gde.2017.03.005 10.1016/j.cell.2015.07.041 10.1002/pmic.201400603 10.3390/ijms20225734 10.1016/j.molcel.2015.11.013 10.1126/science.1168978 10.7554/eLife.01257 10.1016/j.cell.2011.10.002 10.1038/s41594-018-0080-2 10.1038/mt.2013.188 10.1038/s41598-019-51984-2 10.1152/ajpgi.00331.2018 10.1101/gr.221507.117 10.1016/j.cell.2016.02.066 10.1016/j.celrep.2015.03.014 |
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Copyright | Copyright: © 2020 Alexaki A et al. Copyright: © 2020 Alexaki A et al. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright: © 2020 Alexaki A et al. 2020 |
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Keywords | codon optimization RNA-seq protein therapeutics codon pair usage translation kinetics Ribo-seq Ribosome profiling codon usage |
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References | G Hettiarachchi (ref-7) 2019; 316 T Suwanmanee (ref-15) 2014; 22 N Ingolia (ref-1) 2009; 324 P Spealman (ref-11) 2018; 28 R Tunney (ref-13) 2018; 25 L Lareau (ref-16) 2014; 3 C Woolstenhulme (ref-2) 2015; 11 N Ingolia (ref-4) 2016; 165 (ref-14) 2020 R Hunt (ref-6) 2019; 20 A Alexaki (ref-5) 2019; 9 N Ingolia (ref-9) 2011; 147 A Fields (ref-8) 2015; 60 C Gobet (ref-3) 2017; 43 A Michel (ref-12) 2015; 15 D Young (ref-10) 2015; 162 |
References_xml | – volume: 43 start-page: 120-127 year: 2017 ident: ref-3 article-title: Ribosome profiling and dynamic regulation of translation in mammals. publication-title: Curr Opin Genet Dev. doi: 10.1016/j.gde.2017.03.005 contributor: fullname: C Gobet – volume: 162 start-page: 872-884 year: 2015 ident: ref-10 article-title: Rli1/ABCE1 Recycles Terminating Ribosomes and Controls Translation Reinitiation in 3'UTRs In Vivo. publication-title: Cell. doi: 10.1016/j.cell.2015.07.041 contributor: fullname: D Young – volume: 15 start-page: 2410-2416 year: 2015 ident: ref-12 article-title: GWIPS-viz as a Tool for Exploring Ribosome Profiling Evidence Supporting the Synthesis of Alternative Proteoforms. publication-title: Proteomics. doi: 10.1002/pmic.201400603 contributor: fullname: A Michel – volume: 20 start-page: 5734 year: 2019 ident: ref-6 article-title: A Single Synonymous Variant (c.354G>A [p.P118P]) in ADAMTS13 Confers Enhanced Specific Activity. publication-title: Int J Mol Sci. doi: 10.3390/ijms20225734 contributor: fullname: R Hunt – volume: 60 start-page: 816-827 year: 2015 ident: ref-8 article-title: A Regression-Based Analysis of Ribosome-Profiling Data Reveals a Conserved Complexity to Mammalian Translation. publication-title: Mol Cell. doi: 10.1016/j.molcel.2015.11.013 contributor: fullname: A Fields – volume: 324 start-page: 218-223 year: 2009 ident: ref-1 article-title: Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling. publication-title: Science. doi: 10.1126/science.1168978 contributor: fullname: N Ingolia – year: 2020 ident: ref-14 article-title: FDA/Ribosome-Profiling: Ribosome profiling (Version v1.0). publication-title: Zenodo. – volume: 3 start-page: e01257 year: 2014 ident: ref-16 article-title: Distinct Stages of the Translation Elongation Cycle Revealed by Sequencing Ribosome-Protected mRNA Fragments. publication-title: eLife. doi: 10.7554/eLife.01257 contributor: fullname: L Lareau – volume: 147 start-page: 789-802 year: 2011 ident: ref-9 article-title: Ribosome Profiling of Mouse Embryonic Stem Cells Reveals the Complexity and Dynamics of Mammalian Proteomes. publication-title: Cell. doi: 10.1016/j.cell.2011.10.002 contributor: fullname: N Ingolia – volume: 25 start-page: 577-582 year: 2018 ident: ref-13 article-title: Accurate Design of Translational Output by a Neural Network Model of Ribosome Distribution. publication-title: Nat Struct Mol Biol. doi: 10.1038/s41594-018-0080-2 contributor: fullname: R Tunney – volume: 22 start-page: 567-574 year: 2014 ident: ref-15 article-title: Integration-deficient lentiviral vectors expressing codon-optimized R338L human FIX restore normal hemostasis in Hemophilia B mice. publication-title: Mol Ther. doi: 10.1038/mt.2013.188 contributor: fullname: T Suwanmanee – volume: 9 start-page: 15449 year: 2019 ident: ref-5 article-title: Effects of codon optimization on coagulation factor IX translation and structure: Implications for protein and gene therapies. publication-title: Sci Rep. doi: 10.1038/s41598-019-51984-2 contributor: fullname: A Alexaki – volume: 316 start-page: G720-G734 year: 2019 ident: ref-7 article-title: Translational and transcriptional responses in human primary hepatocytes under hypoxia. publication-title: Am J Physiol Gastrointest Liver Physiol. doi: 10.1152/ajpgi.00331.2018 contributor: fullname: G Hettiarachchi – volume: 28 start-page: 214-222 year: 2018 ident: ref-11 article-title: Conserved non-AUG uORFs Revealed by a Novel Regression Analysis of Ribosome Profiling Data. publication-title: Genome Res. doi: 10.1101/gr.221507.117 contributor: fullname: P Spealman – volume: 165 start-page: 22-33 year: 2016 ident: ref-4 article-title: Ribosome Footprint Profiling of Translation throughout the Genome. publication-title: Cell. doi: 10.1016/j.cell.2016.02.066 contributor: fullname: N Ingolia – volume: 11 start-page: 13-21 year: 2015 ident: ref-2 article-title: High-precision analysis of translational pausing by ribosome profiling in bacteria lacking EFP. publication-title: Cell Rep. doi: 10.1016/j.celrep.2015.03.014 contributor: fullname: C Woolstenhulme |
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SubjectTerms | Cell lines Cloning Coagulation factor IX Coagulation factors Cytomegalovirus Data Note Datasets Experiments Gene therapy Protein biosynthesis Proteins Proteomes Reproducibility Transcriptomes Translation |
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Title | Ribosome profiling of HEK293T cells overexpressing codon optimized coagulation factor IX [version 2; peer review: 3 approved] |
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