TY - JOUR
T1 - Codon bias and the folding dynamics of the cystic fibrosis transmembrane conductance regulator
AU - Bartoszewski, Rafal
AU - Króliczewski, Jaroslaw
AU - Piotrowski, Arkadiusz
AU - Jasiecka, Anna Janaszak
AU - Bartoszewska, Sylwia
AU - Vecchio-Pagan, Briana
AU - Fu, Lianwu
AU - Sobolewska, Aleksandra
AU - Matalon, Sadis
AU - Cutting, Garry R.
AU - Rowe, Steven M.
AU - Collawn, James F.
N1 - Funding Information:
This work has been supported by National Science Center OPUS Program under contract 2015/17/B/NZ3/01485 (to R.B.), NIH grant DK 44003 (to G.R.C.) and CF Foundation grant CUTTIN13A2 (to G.R.C.) This study was supported by National Science Centre, Poland, grants N N401 633640 (LK) and 2015/19/B/NZ7/03830 (RB).
Publisher Copyright:
© 2016 The Author(s).
PY - 2016/10/19
Y1 - 2016/10/19
N2 - Synonymous or silent mutations are often overlooked in genetic analyses for disease-causing mutations unless they are directly associated with potential splicing defects. More recent studies, however, indicate that some synonymous single polynucleotide polymorphisms (sSNPs) are associated with changes in protein expression, and in some cases, protein folding and function. The impact of codon usage and mRNA structural changes on protein translation rates and how they can affect protein structure and function is just beginning to be appreciated. Examples are given here that demonstrate how synonymous mutations alter the translational kinetics and protein folding and/or function. The mechanism for how this occurs is based on a model in which codon usage modulates the translational rate by introducing pauses caused by nonoptimal or rare codons or by introducing changes in the mRNA structure, and this in turn influences co-translational folding. Two examples of this include the multidrug resistance protein (p-glycoprotein) and the cystic fibrosis transmembrane conductance regulator gene (CFTR). CFTR is also used here as a model to illustrate how synonymous mutations can be examined using in silico predictive methods to identify which sSNPs have the potential to change protein structure. The methodology described here can be used to help identify "non-silent" synonymous mutations in other genes.
AB - Synonymous or silent mutations are often overlooked in genetic analyses for disease-causing mutations unless they are directly associated with potential splicing defects. More recent studies, however, indicate that some synonymous single polynucleotide polymorphisms (sSNPs) are associated with changes in protein expression, and in some cases, protein folding and function. The impact of codon usage and mRNA structural changes on protein translation rates and how they can affect protein structure and function is just beginning to be appreciated. Examples are given here that demonstrate how synonymous mutations alter the translational kinetics and protein folding and/or function. The mechanism for how this occurs is based on a model in which codon usage modulates the translational rate by introducing pauses caused by nonoptimal or rare codons or by introducing changes in the mRNA structure, and this in turn influences co-translational folding. Two examples of this include the multidrug resistance protein (p-glycoprotein) and the cystic fibrosis transmembrane conductance regulator gene (CFTR). CFTR is also used here as a model to illustrate how synonymous mutations can be examined using in silico predictive methods to identify which sSNPs have the potential to change protein structure. The methodology described here can be used to help identify "non-silent" synonymous mutations in other genes.
KW - CFTR
KW - Codon usage
KW - MRNA folding
KW - Single nucleotide polymorphism (SNP)
KW - Synonymous mutations
KW - Translation rate
KW - in silico predictions
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U2 - 10.1186/s11658-016-0025-x
DO - 10.1186/s11658-016-0025-x
M3 - Review article
C2 - 28536625
AN - SCOPUS:85009255563
SN - 1425-8153
VL - 21
JO - Cellular and Molecular Biology Letters
JF - Cellular and Molecular Biology Letters
IS - 1
M1 - 23
ER -