TY - JOUR
T1 - Ribosome profiling of HEK293T cells overexpressing codon optimized coagulation factor IX
AU - Kimchi-Sarfaty, Chava
AU - Alexaki, Aikaterini
AU - Kames, Jacob
AU - Hettiarachchi, Gaya K.
AU - Athey, John C.
AU - Katneni, Upendra K.
AU - Hunt, Ryan C.
AU - Hamasaki-Katagiri, Nobuko
AU - Holcomb, David D.
AU - DiCuccio, Michael
AU - Bar, Haim
AU - Komar, Anton A A
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
KW - Codon optimization
KW - Codon pair usage
KW - Codon usage
KW - Protein therapeutics
KW - RNA-seq
KW - Ribo-seq
KW - Ribosome profiling
KW - Translation kinetics
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85092555245&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85092555245&origin=inward
U2 - 10.12688/f1000research.22400.2
DO - 10.12688/f1000research.22400.2
M3 - Article
C2 - 33014344
SN - 2046-1402
VL - 9
JO - F1000Research
JF - F1000Research
M1 - 174
ER -