Results 31 to 40 of about 133,000 (265)

Nonsynonymous, synonymous and nonsense mutations in human cancer-related genes undergo stronger purifying selections than expectation

open access: yesBMC Cancer, 2019
Background Nonsynonymous mutations change the protein sequences and are frequently subjected to natural selection. The same goes for nonsense mutations that introduce pre-mature stop codons into CDSs (coding sequences). Synonymous mutations, however, are
Duan Chu, Lai Wei
doaj   +1 more source

Post-transcriptional regulation of 5-lipoxygenase mRNA expression via alternative splicing and nonsense-mediated mRNA decay [PDF]

open access: yes, 2012
5-Lipoxygenase (5-LO) catalyzes the two initial steps in the biosynthesis of leukotrienes (LT), a group of inflammatory lipid mediators derived from arachidonic acid.
Laura Pufahl (182448)   +26 more
core   +2 more sources

Recognition of Nonsense Codons in Mammalian Cells [PDF]

open access: yesProceedings of the National Academy of Sciences, 1972
The tritiated trinucleotide UGA was used in a binding assay to detect transfer RNAs that recognize this nonsense codon from calf-liver cells. Acylation of transfer RNA with labeled amino acids and determination of codon responses of aminoacyl-tRNAs demonstrate that a species of seryl-tRNA and a species of arginyl-tRNA recognize the codon UGA.
openaire   +2 more sources

CGG: an unassigned or nonsense codon in Mycoplasma capricolum. [PDF]

open access: yesProceedings of the National Academy of Sciences, 1991
CGG is an arginine codon in the universal genetic code. We previously reported that in Mycoplasma capricolum, a relative of Gram-positive eubacteria, codon CGG did not appear in coding frames, including termination sites, and tRNA(ArgCCG) pairing with codon CGG, was not detected. These facts suggest that CGG is a nonsense (unassigned and untranslatable)
T, Oba, Y, Andachi, A, Muto, S, Osawa
openaire   +2 more sources

Decoding accuracy in eRF1 mutants and its correlation with pleiotropic quantitative traits in yeast [PDF]

open access: yes, 2010
Translation termination in eukaryotes typically requires the decoding of one of three stop codons UAA, UAG or UGA by the eukaryotic release factor eRF1.
Mugnier, Pierre M.   +11 more
core   +1 more source

Future of the Genetic Code

open access: yesLife, 2017
The methods for establishing synthetic lifeforms with rewritten genetic codes comprising non-canonical amino acids (NCAA) in addition to canonical amino acids (CAA) include proteome-wide replacement of CAA, insertion through suppression of nonsense codon,
Hong Xue, J. Tze-Fei Wong
doaj   +1 more source

Evolution of termination codons of proteins and the TAG-TGA paradox

open access: yesScientific Reports, 2023
In most eukaryotes and prokaryotes TGA is used at a significantly higher frequency than TAG as termination codon of protein-coding genes. Although this phenomenon has been recognized several years ago, there is no generally accepted explanation for the ...
Mária Trexler   +3 more
doaj   +1 more source

Translation Initiation Factors eIF3 and HCR1 Control Translation Termination and Stop Codon Read-Through in Yeast Cells [PDF]

open access: yes, 2013
Translation is divided into initiation, elongation, termination and ribosome recycling. Earlier work implicated several eukaryotic initiation factors (eIFs) in ribosomal recycling in vitro.
Lucie Cuchalová   +20 more
core   +2 more sources

CRISPR-induced exon skipping is dependent on premature termination codon mutations

open access: yesGenome Biology, 2018
In previous studies, CRISPR/Cas9 was shown to induce unexpected exon skipping; however, the mechanism by which this phenomenon is triggered is controversial.
Tingting Sui   +7 more
doaj   +1 more source

Unexpected correlations between gene expression and codon usage bias from microarray data for the whole Escherichia coli K-12 genome [PDF]

open access: yes, 2003
Escherichia coli has long been regarded as a model organism in the study of codon usage bias (CUB). However, most studies in this organism regarding this topic have been computational or, when experimental, restricted to small datasets; particularly poor
Savva, Renos   +2 more
core   +1 more source

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