2016
DOI: 10.1111/hae.13107
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The importance of mRNA structure in determining the pathogenicity of synonymous and non‐synonymous mutations in haemophilia

Abstract: Introduction Mutational analysis is commonly used to support the diagnosis and management of haemophilia. This has allowed for the generation of large mutation databases which provide unparalleled insight into genotype-phenotype relationships. Haemophilia is associated with inversions, deletions, insertions, nonsense and missense mutations. Both synonymous and non-synonymous mutations influence the base pairing of messenger RNA (mRNA), which can alter mRNA structure, cellular half-life and ribosome processivit… Show more

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Cited by 32 publications
(25 citation statements)
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“…During stability prediction of the vaccine mRNA secondary structure, both Mfold and RNAfold servers generated negative and much lower minimal free energies of -517.50 kcal/mol and -531.10 kcal/mol, respectively. Therefore, with these lower minimal free energies, it can be declared that the predicted CV vaccine might be quite stable upon transcription in vivo ( Hamasaki-Katagiri et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…During stability prediction of the vaccine mRNA secondary structure, both Mfold and RNAfold servers generated negative and much lower minimal free energies of -517.50 kcal/mol and -531.10 kcal/mol, respectively. Therefore, with these lower minimal free energies, it can be declared that the predicted CV vaccine might be quite stable upon transcription in vivo ( Hamasaki-Katagiri et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…This tridimensional structure allows for substrate recognition and consequently molecular activity. Thus, polymorphisms in a transcribed region of a gene can alter mRNA structure, cellular half-life, and ribosome processivity/elongation ( Hamasaki et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…Since, the lower minimal free energy always represents better mRNA stability, so it can be concluded that the predicted vaccine protein might be quite stable upon transcription (136).…”
Section: Codon Adaptation In Silico Cloning Prediction Of the Mrnamentioning
confidence: 99%