2020
DOI: 10.1016/j.jmb.2020.01.011
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TissueCoCoPUTs: Novel Human Tissue-Specific Codon and Codon-Pair Usage Tables Based on Differential Tissue Gene Expression

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Cited by 33 publications
(36 citation statements)
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“…We find that these species have a similar codon usage when compared with human; therefore, viral tropism cannot be inferred based on codon usage data alone (Table 1). Since SARS-CoV-2 infects bronchial epithelial cells and type II pneumocytes and our recent findings show that transcriptomic tissue-specific codon pair usage can vary greatly from genomic codon pair usage [24], we also examined the transcriptomic codon pair usage of the lung and how it compares with the SARS-CoV-2 codon pair usage. Rather surprisingly, the codon usage in the lung was more distinct from SARS-CoV-2 codon usage than the Homo sapiens genomic codon usage.…”
Section: Sars-cov-2 Proximity To Coronaviruses Host Genomes and Tissmentioning
confidence: 99%
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“…We find that these species have a similar codon usage when compared with human; therefore, viral tropism cannot be inferred based on codon usage data alone (Table 1). Since SARS-CoV-2 infects bronchial epithelial cells and type II pneumocytes and our recent findings show that transcriptomic tissue-specific codon pair usage can vary greatly from genomic codon pair usage [24], we also examined the transcriptomic codon pair usage of the lung and how it compares with the SARS-CoV-2 codon pair usage. Rather surprisingly, the codon usage in the lung was more distinct from SARS-CoV-2 codon usage than the Homo sapiens genomic codon usage.…”
Section: Sars-cov-2 Proximity To Coronaviruses Host Genomes and Tissmentioning
confidence: 99%
“…Likewise, human lung, kidney (cortex) and small intestine (terminal ileum) tissue-specific codon, codon pair and dinucleotide usage data were accessed from the TissueCoCoPUTs database [24] on March 13, 2020. Codon, codon pair and dinucleotide usage data for SARS-CoV-2 was calculated from the reference sequence (accession NC_045512.2) using scripts written in Python 3.7.4.…”
Section: Comparison Of Codon and Codon Pair Usage In Host Speciesmentioning
confidence: 99%
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“…We have conducted a thorough analysis of the codon, codon pair and dinucleotide usage of the SARS-CoV-2 and have assessed how it relates to other coronaviruses, its hosts, and to the tissues that SARS-CoV-2 has been reported to infect 25 27 . We have taken advantage of our recently published databases, which include genomic codon usage statistics for all species with available sequence data, and transcriptomic codon usage statistics from several human tissues 4 , 5 , 28 . We further analyzed each viral gene in terms of its codon characteristics and used an array of codon usage metrics that informed us of the potential of each gene sequence to contribute to the deoptimization of the virus.…”
Section: Introductionmentioning
confidence: 99%
“…Codons with an RSCU value of 0, 0~0.6, 0.6~1.6 or > 1.6 were regarded as not-used, under-represented, normally-used, or over-represented(121). RSCUs for the 120,426 human coding regions were determined based on the Homo sapiens codon usage table retrieved on 2020 June 14 th from TissueCoCoPUTs(122).Statistical test, linear regression and data visualization were all conducted in R. Kruskal-Wallis test by rank and Wilcoxon rank sum test for pairwise comparisons were applied as appropriate. P values are labeled as follows: < 0.0001, ****; 0.0001 to 0.001, ***; 0.001 to 0.01, **; 0.01 to 0.05, *; ≥ 0.05, not labeled.…”
mentioning
confidence: 99%