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PubMed2003

Preferential carcinogen-DNA adduct formation at codons 12 and 14 in the human K-ras gene and their possible mechanisms.

In the ras gene superfamily, codon 12 (-TGGTG-) of the K-ras gene is the most frequently mutated codon in human cancers. Recently, we have found that bulky chemical carcinogens preferentially form DNA adducts at codons 12 and 14 (-CGTAG-) in the K-ras gene in normal human bronchial epithelial (NHBE) cells. Furthermore, DNA adducts formed at codon 12 of the K-ras gene are poorly repaired compared with those at other codons including codon 14. These results suggest that targeted carcinogen-DNA adduct formation is a major reason for the observed high mutation frequency at codon 12 of the K-ras gene in human cancers. This preferential carcinogen-DNA adduct formation at codons 12 and 14 could result from effects of (1) primary sequences of these codons and their surrounding codons in the K-ras gene, (2) the chromatin structure, and/or (3) epigenetic factors such as C5 cytosine methylation or other DNA modifications at these codons and their surrounding codons. To distinguish these possibilities, we have introduced modifications with benzo[a]pyrene diol epoxide, N-hydroxy-2-aminofluorene, and aflatoxin B1 8,9-epoxide in (1) naked intact genomic DNA isolated from NHBE cells, (2) fragmented genomic DNA digested by restriction enzymes, and (3) in vitro synthesized DNA fragments containing the K-ras gene exon 1 sequence with or without methylation of the cytosines at CpG sites and the cytosines pairing with the guanines of codons 12 and 14. The distribution of carcinogen-DNA adducts in the K-ras gene was mapped at the nucleotide sequence level using the UvrABC nuclease incision method with or without the ligation-mediated polymerase chain reaction technique. We have found that carcinogens preferentially form adducts at codons 12 and 14 in the K-ras gene exon 1 in intact as well as in fragmented genomic DNA. In contrast, this preferential DNA adduct formation at codons 12 and 14 was not observed in PCR-amplified DNA fragments containing the K-ras gene exon 1 sequence. Methylation of the cytosine at the CpG site of codon 14, or the cytosine pairing with guanine of codon 14, greatly enhanced carcinogen-DNA adduct formation at codon 14 but did not affect carcinogen-DNA adduct formation at codon 12. Methylation of the cytosine pairing with the guanine of codon 12 also did not enhance carcinogen-DNA adduct formation at codon 12. Furthermore, we found that the cytosine at the CpG site of codon 14 is highly methylated in NHBE cells. These results suggest that cytosine methylation at the CpG site is the major reason for the preferential DNA damage at codon 14 and that epigenetic modification(s) other than cytosine methylation may contribute to the preferential DNA damage at codon 12 of the K-ras gene.

7,8-Dihydro-7,8-dihydroxybenzo(a)pyrene 9,10-oxide↗
PubMed2006

Comparison of codon usage and tRNAs in mitochondrial genomes of Candida species.

To gain insight into the nature of the mitochondrial genomes (mtDNA) of different Candida species, the synonymous codon usage bias of mitochondrial protein coding genes and the tRNAs in C. albicans, C. parapsilosis, C. stellata, C. glabrata and the closely related yeast Saccharomyces cerevisiae were analyzed. Common features of the mtDNA in Candida species are a strong A+T pressure on protein coding genes, and insufficient mitochondrial tRNA species are encoded to perform protein synthesis. The wobble site of the anticodon is always U for the NNR (NNA and NNG) codon families, which are dominated by A-ending codons, and always G for the NNY (NNC and NNU) codon families, which is dominated by U-ending codons, and always U for the NNN (NNA, NNU, NNC and NNG) codon families, which are dominated by A-ending codons and U-ending codons. Patterns of synonymous codon usage of Candida species can be classified into three groups: (1) optimal codon-anticodon usage, Glu, Lys, Leu (translated by anti-codon UAA), Gln, Arg (translated by anti-codon UCU) and Trp are containing NNR codons. NNA, whose corresponding tRNA is encoded in the mtDNA, is used preferentially. (2) Non-optimal codon-anticodon usage, Cys, Asp, Phe, His, Asn, Ser (translated by anti-codon GCU) and Tyr are containing NNY codons. The NNU codon, whose corresponding tRNA is not encoded in the mtDNA, is used preferentially. (3) Combined codon-anticodon usage, Ala, Gly, Leu (translated by anti-codon UAG), Pro, Ser (translated by anti-codon UGA), Thr and Val are containing NNN codons. NNA (tRNA encoded in the mtDNA) and NNU (tRNA not encoded in the mtDNA) are used preferentially. In conclusion, we propose that in Candida species, codons containing A or U at third position are used preferentially, regardless of whether corresponding tRNAs are encoded in the mtDNA. These results might be useful in understanding the common features of the mtDNA in Candida species and patterns of synonymous codon usage.

Algorithms↗
PubMed1989

Rates of aminoacyl-tRNA selection at 29 sense codons in vivo.

We have placed aminoacyl-tRNA selection at individual codons in competition with a frameshift that is assumed to have a uniform rate. By assaying a reporter in the shifted frame, relative rates for association of the 29 YNN codons and their cognate aminoacyl-tRNAs were obtained during logarithmic growth in Escherichia coli. For five codons, three beginning with C and two with U, these relative rates agree with relative in vitro rates for elongation factor Tu-mediated aminoacyl-tRNA binding to ribosomes and subsequent GTP hydrolysis. Therefore, the frameshift assay probably measures this process in vivo. Observed rates for aminoacyl-tRNA selection span a 25-fold range. Therefore, the time required to transit different codons in vivo probably differs substantially. Codons very frequently used in highly expressed genes generally select aminoacyl-tRNAs more quickly than do rarely used codons. This suggests that speed of aminoacyl-tRNA selection is a significant factor determining biased use of synonymous codons. However, the preferential use of codons appears to be marked only for codons with the highest rates of aminoacyl-tRNA selection. Rapid selection in vivo is usually effected by elevation of the tRNA concentration for codons with moderate intrinsic speed (rate constant), not by choosing intrinsically fast codons. Despite a preference for high rate, there are quickly translated codons that are not commonly used, and common codons that are translated relatively slowly. Other factors are therefore more important than speed for some codons. Strong preference for rapid aminoacyl-tRNA selection is not observed in weakly expressed genes. Instead, there is a slight preference for slower aminoacyl-tRNA selection. The rate of aminoacyl-tRNA selection by a YNC codon is always greater than the rate of the corresponding YNU codon even though in many YNC/U pairs both codons react with the same elongation factor Tu/GTP/aminoacyl-tRNA complex. Thus, for these tRNAs, the differences between in vivo rate constants of tRNAs are dependent on the nature of anticodon base-pairing. However, no more general relationship is evident between codon/anticodon composition and rate of aminoacyl-tRNA selection. The frameshift method can be extended to all codons.

Base Sequence↗
PubMed2000

Codon usage in plastid genes is correlated with context, position within the gene, and amino acid content.

Highly expressed plastid genes display codon adaptation, which is defined as a bias toward a set of codons which are complementary to abundant tRNAs. This type of adaptation is similar to what is observed in highly expressed Escherichia coli genes and is probably the result of selection to increase translation efficiency. In the current work, the codon adaptation of plastid genes is studied with regard to three specific features that have been observed in E. coli and which may influence translation efficiency. These features are (1) a relatively low codon adaptation at the 5' end of highly expressed genes, (2) an influence of neighboring codons on codon usage at a particular site (codon context), and (3) a correlation between the level of codon adaptation of a gene and its amino acid content. All three features are found in plastid genes. First, highly expressed plastid genes have a noticeable decrease in codon adaptation over the first 10-20 codons. Second, for the twofold degenerate NNY codon groups, highly expressed genes have an overall bias toward the NNC codon, but this is not observed when the 3' neighboring base is a G. At these sites highly expressed genes are biased toward NNT instead of NNC. Third, plastid genes that have higher codon adaptations also tend to have an increased usage of amino acids with a high G + C content at the first two codon positions and GNN codons in particular. The correlation between codon adaptation and amino acid content exists separately for both cytosolic and membrane proteins and is not related to any obvious functional property. It is suggested that at certain sites selection discriminates between nonsynonymous codons based on translational, not functional, differences, with the result that the amino acid sequence of highly expressed proteins is partially influenced by selection for increased translation efficiency.

Amino Acids↗
PubMed1998

Codon usage in highly expressed genes of Haemophillus influenzae and Mycobacterium tuberculosis: translational selection versus mutational bias.

Biases in the codon usage and base compositions at three codon sites in different genes of A+T-rich Gram-negative bacterium Haemophillus influenzae and G+C-rich Gram-positive bacterium Mycobacterium tuberculosis have been examined to address the following questions: (1) whether the synonymous codon usage in organisms having highly skewed base compositions is totally dictated by the mutational bias as reported previously (Sharp, P.M., Devine, K.M., 1989. Codon usage and gene expression level in Dictyostelium discoideum: highly expressed genes do 'prefer' optimal codons. Nucleic Acids Res. 17, 5029-5039), or is also controlled by translational selection; (2) whether preference of G in the first codon positions by highly expressed genes, as reported in Escherichia coli (Gutierrez, G., Marquez, L., Marin, A., 1996. Preference for guanosine at first codon position in highly expressed Escherichia coli genes. A relationship with translational efficiency. Nucleic Acids Res. 24, 2525-2527), is true in other bacteria; and (3) whether the usage of bases in three codon positions is species-specific. Result presented here show that even in organisms with high mutational bias, translational selection plays an important role in dictating the synonymous codon usage, though the set of optimal codons is chosen in accordance with the mutational pressure. The frequencies of G-starting codons are positively correlated to the level of expression of genes, as estimated by their Codon Adaptation Index (CAI) values, in M. tuberculosis as well as in H. influenzae in spite of having an A+T-rich genome. The present study on the codon preferences of two organisms with oppositely skewed base compositions thus suggests that the preference of G-starting codons by highly expressed genes might be a general feature of bacteria, irrespective of their overall G+C contents. The ranges of variations in the frequencies of individual bases at the first and second codon positions of genes of both H. influenzae and M. tuberculosis are similar to those of E. coli, implying that though the composition of all three codon positions is governed by a selection-mutation balance, the mutational pressure has little influence in the choice of bases at the first two codon positions, even in organisms with highly biased base compositions.

Animals↗
PubMed1996

Evidence that the decay of nucleus-associated nonsense mRNA for human triosephosphate isomerase involves nonsense codon recognition after splicing.

For most of the mammalian mRNAs that have been shown to be reduced in abundance by a nonsense or a frameshift mutation that generates a nonsense codon, reduction takes place while the mRNA is nucleus-associated rather than after the mRNA has been exported to the cytoplasm (reviewed in Maquat LE, 1995, RNA 1:453-465). A variety of mechanisms have been put forth to explain how a nonsense codon could affect the abundance of nuclear mRNA. Some mechanisms have implicated nonsense codon recognition in the nucleus prior to splicing. Among the best-studied nonsense transcripts that manifest nonsense-mediated alterations in nucleus-associated metabolism are those that derive from human alleles for the glycolytic enzyme triosephosphate isomerase (TPI). Nonsense codons within TPI transcripts have been shown to reduce the half-life of completely spliced TPI (mRNA that co-purifies with nuclei (Belgrader P et al., 1994, Mol Cell Biol 14:8219-8228). However, whether or not nonsense codon recognition within TPI transcripts takes place prior to or after splicing remained unresolved. To address this issue, codons that span two exons, i.e., are disrupted by an intron prior to pre-mRNA splicing, were converted to nonsense. If nonsense codon recognition were to precede splicing, then the disrupting intron would be expected to preclude nonsense codon recognition by preventing the physical juxtapositioning of the codon nucleotides. In the absence of nonsense codon recognition, there would be no nonsense-mediated reduction in TPI mRNA abundance. The results of northern (RNA) blot hybridization demonstrated that the two nonsense codons of this type that were studied reduced the level of total, nuclear and cytoplasmic TPI mRNA to an average of 12% of normal, consistent with each nonsense codon being competent to mediate nuclear mRNA degradation. The possibility that the nonsense codons reduced TPI mRNA abundance by altering TPI mRNA abundance or splicing was eliminated by using RT-PCR to demonstrate that the level of each intron within pre-mRNA was essentially unaffected and cDNA sequencing to demonstrate that splice site choice was unaltered. Furthermore, missense codons that harbored some of the nonsense codon changes were found to have little effect on mRNA abundance. These findings, plus the previous finding that a suppressor tRNA abrogates the decay of TPI mRNA brought about by a nonsense codon residing within a single exon (Belgrader P, Cheng J, Maquat LE, 1993, Proc Natl Acad Sci USA 90:482-486), argue strongly that nonsense codon recognition in the nonsense-mediated decay of TPI mRNA takes place after splicing.

Base Sequence↗
PubMed1996

What drives codon choices in human genes?

Synonymous codon usage is based and the bias seems to be different in different organisms. Factors with proposed roles in causing codon bias include degree and timing of gene expression, codon-anticodon interactions, transcription and translation rate and fidelity, codon context, and global and local G + C content. We offer a new perspective and new methods for elucidating codon choices applied especially to the human genome. We present data supporting the thesis that codon choices for human genes are largely a consequence of two factors: (1) amino acid constraints, (2) maintaining DNA structures dependent on base-step conformational tendencies consistent with the organism's genome signature that is determined by genome-wide processes of DNA modification, replication and repair. The related codon signature defined as the dinucleotide relative abundances at the distinct codon positions (1,2), (2,3), and (3,4) (4 = 1 of the next codon) accommodates both the global genome signature and amino acid constraints. In human genes, codon positions (2,3) and (3,4) containing the silent site have similar codon signatures reflecting DNA symmetry. Strong CG and TA dinucleotide underrepresentation is observed at all codon positions as well as in non-coding regions. Estimates of synonymous codon usage based on codon signatures are in excellent agreement with the actual codon usage in human and general vertebrate genes. These properties are largely independent of the isochore compartment (G + C content), gene size, and transcriptional and translational constraints. We hypothesize that major influences on codon usage in human genes result from residue preferences and diresidue associations in proteins coupled to biases on the DNA level, related to replication and repair processes and/or DNA structural requirements.

Codon↗
PubMed1991

Low-usage codons in Escherichia coli, yeast, fruit fly and primates.

Codon usage is compared between four classes of species, with an emphasis on characterization of low-usage codons. The classes of species analyzed include the bacterium Escherichia coli (ECO), the yeast Saccharomyces cerevisiae (YSC), the fruit fly Drosophila melanogaster (DRO), and several species of primates (PRI) (taken as a group; includes eleven species for which nucleotide sequence data have been reported to GenBank, however, greater than 90% of the sequences were from Homo sapiens). The number of protein-coding sequences analyzed were 968 for ECO, 484 for YSC, 244 for DRO, and 1518 for PRI. Three methods have been used to determine low-usage codons in these species. The first and most common way of assessing codon usage is by summing the number of time codons appear in reading frames of the genome in question. The second way is to examine the distribution of usage in different genes by scoring the number of protein reading frames in which a particular codon does not appear. The third way starts with a similar notion, but instead considers combinations of codons that are missing from the maximum number of genes. These three methods give very similar results. Each species has a unique combination of eight least-used codons, but all species contain the arginine codons, CGA and CGG. The agreement between YSC and PRI is particularly striking as they share six low-usage codons. All six carry the dinucleotide sequence, CG. The eight least-used codons in PRI include all codons that contain the CG dinucleotide sequence. Low-usage codons are clearly avoided in genes encoding abundant proteins for ECO, YSC DRO. In all species, proteins containing a high percentage of low-usage codons could be characterized as cases where an excess of the protein could be detrimental. Low codon usage is relatively insensitive to gross base composition. However, dinucleotide usage can sometimes influence codon usage. This is particularly notable in the case of CG dinucleotides in PRI.

Animals↗
PubMed2000

SBP, SECIS binding protein, binds to the RNA fragment upstream of the Sec UGA codon in glutathione peroxidase mRNA.

In mammals, most of the selenium contained in the body is present as an unusual amino acid, selenocysteine (Sec), whose codon is UGA. Because the UGA codon is typically recognized as a translation stop signal, it is intriguing how a cell recognizes and distinguishes a UGA Sec codon from a UGA stop codon. For eukaryotic selenoprotein mRNAs, it has been proposed that a conserved stem-loop structure designated the Sec insertion sequence (SECIS) in the 3'-untranslated (3'-UTR) region is required for recognition of UGA as a Sec codon. Some proteins which bind to SECIS (SBP) have been reported. However, it is not clear how the SECIS element in the 3'-UTR can mediate Sec insertion far at the in-frame UGA Sec codons. The idea that there must be a signal near the UGA Sec codon is still considered. Therefore, we searched for a protein which binds to an RNA sequence surrounding the UGA Sec codon on human glutathione peroxidase (GPx) mRNA. We found a protein which strongly bound to the RNA fragment upstream of the UGA Sec codon. However, this protein did not bind to the RNA sequence downstream of the UGA codon. This protein also bound to the SECIS sequence in the 3'-UTR of human GPx, and this binding to SECIS was competed with the RNA fragment upstream of the UGA Sec codon. Comparison of the RNA fragment with the SECIS fragment identified the conserved regions, which appeared in the region upstream of the in-frame UGA Sec codon of Se-protein mRNAs. Thus, this study proposes a novel model to understand the mechanisms of Sec incorporation at the UGA Sec codon, especially the regions upstream of the UGA codon of mRNAs of mammalian selenoproteins. This model explains that the stem-loop structure covering the UGA codon is recognized by SBP and how the UGA Sec codon escapes from attack by eRF of the peptide releasing factor.

3' Untranslated Regions↗
PubMed1998

Codon usages in different gene classes of the Escherichia coli genome.

A new measure for assessing codon bias of one group of genes with respect to a second group of genes is introduced. In this formulation, codon bias correlations for Escherichia coli genes are evaluated for level of expression, for contrasts along genes, for genes in different 200 kb (or longer) contigs around the genome, for effects of gene size, for variation over different function classes, for codon bias in relation to possible lateral transfer and for dicodon bias for some gene classes. Among the function classes, codon biases of ribosomal proteins are the most deviant from the codon frequencies of the average E. coli gene. Other classes of 'highly expressed genes' (e.g. amino acyl tRNA synthetases, chaperonins, modification genes essential to translation activities) show less extreme codon biases. Consistently for genes with experimentally determined expression rates in the exponential growth phase, those of highest molar abundances are more deviant from the average gene codon frequencies and are more similar in codon frequencies to the average ribosomal protein gene. Independent of gene size, the codon biases in the 5' third of genes deviate by more than a factor of two from those in the middle and 3' thirds. In this context, there appear to be conflicting selection pressures imposed by the constraints of ribosomal binding, or more generally the early phase of protein synthesis (about the first 50 codons) may be more biased than the complete nascent polypeptide. In partitioning the E. coli genome into 10 equal lengths, pronounced differences in codon site 3 G+C frequencies accumulate. Genes near to oriC have 5% greater codon site 3 G+C frequencies than do genes from the ter region. This difference also is observed between small (100-300 codons) and large (>800 codons) genes. This result contrasts with that for eukaryotic genomes (including human, Caenorhabditis elegans and yeast) where long genes tend to have site 3 more AT rich than short genes. Many of the above results are special for E. coli genes and do not apply to genes of most bacterial genomes. A gene is defined as alien (possibly horizontally transferred) if its codon bias relative to the average gene exceeds a high threshold and the codon bias relative to ribosomal proteins is also appropriately high. These are identified, including four clusters (operons). The bulk of these genes have no known function.

Amino Acyl-tRNA Synthetases↗
PubMed2004

Synonymous codon usage in Lactococcus lactis: mutational bias versus translational selection.

In this study codon usage bias of all experimentally known genes of Lactococcus lactis has been analyzed. Since Lactococcus lactis is an AT rich organism, it is expected to occur A and/or T at the third position of codons and detailed analysis of overall codon usage data indicates that A and/or T ending codons are predominant in this organism. However, multivariate statistical analyses based both on codon count and on relative synonymous codon usage (RSCU) detect a large number of genes, which are supposed to be highly expressed are clustered at one end of the first major axis, while majority of the putatively lowly expressed genes are clustered at the other end of the first major axis. It was observed that in the highly expressed genes C and T ending codons are significantly higher than the lowly expressed genes and also it was observed that C ending codons are predominant in the duets of highly expressed genes, whereas the T endings codons are abundant in the quartets. Abundance of C and T ending codons in the highly expressed genes suggest that, besides, compositional biases, translational selection are also operating in shaping the codon usage variation among the genes in this organism as observed in other compositionally skewed organisms. The second major axis generated by correspondence analysis on simple codon counts differentiates the genes into two distinct groups according to their hydrophobicity values, but the same analysis computed with relative synonymous codon usage values could not discriminate the genes according to the hydropathy values. This suggests that amino acid composition exerts constraints on codon usage in this organism. On the other hand the second major axis produced by correspondence analysis on RSCU values differentiates the genes into two groups according to the synonymous codon usage for cysteine residues (rarest amino acids in this organism), which is nothing but a artifactual effect induced by the RSCU values. Other factors such as length of the genes and the positions of the genes in the leading and lagging strand of replication have practically no influence in the codon usage variation among the genes in this organism.

Codon↗
PubMed2005

Analysis of synonymous codon usage bias in Chlamydia.

Chlamydiae are obligate intracellular bacterial pathogens that cause ocular and sexually transmitted diseases, and are associated with cardiovascular diseases. The analysis of codon usage may improve our understanding of the evolution and pathogenesis of Chlamydia and allow reengineering of target genes to improve their expression for gene therapy. Here, we analyzed the codon usage of C. muridarum, C. trachomatis (here indicating biovar trachoma and LGV), C. pneumoniae, and C. psittaci using the codon usage database and the CUSP (Create a codon usage table) program of EMBOSS (The European Molecular Biology Open Software Suite). The results show that the four genomes have similar codon usage patterns, with a strong bias towards the codons with A and T at the third codon position. Compared with Homo sapiens, the four chlamydial species show discordant seven or eight preferred codons. The ENC (effective number of codons used in a gene)-plot reveals that the genetic heterogeneity in Chlamydia is constrained by the G+C content, while translational selection and gene length exert relatively weaker influences. Moreover, mutational pressure appears to be the major determinant of the codon usage variation among the chlamydial genes. In addition, we compared the codon preferences of C. trachomatis with those of E. coli, yeast, adenovirus and Homo sapiens. There are 23 codons showing distinct usage differences between C. trachomatis and E. coli, 24 between C. trachomatis and adenovirus, 21 between C. trachomatis and Homo sapiens, but only six codons between C. trachomatis and yeast. Therefore, the yeast system may be more suitable for the expression of chlamydial genes. Finally, we compared the codon preferences of C. trachomatis with those of six eukaryotes, eight prokaryotes and 23 viruses. There is a strong positive correlation between the differences in coding GC content and the variations in codon bias (r=0.905, P<0.001). We conclude that the variation of codon bias between C. trachomatis and other organisms is much less influenced by phylogenetic lineage and primarily determined by the extent of disparities in GC content.

Animals↗
PubMed1994

Introns are cis effectors of the nonsense-codon-mediated reduction in nuclear mRNA abundance.

The translation of human triosephosphate isomerase (TPI) mRNA normally terminates at codon 249 within exon 7, the final exon. Frameshift and nonsense mutations of the type that cause translation to terminate prematurely at or upstream of codon 189 within exon 6 reduce the level of nuclear TPI mRNA to 20 to 30% of normal by a mechanism that is not a function of the distance of the nonsense codon from either the translation initiation or termination codon. In contrast, frameshift and nonsense mutations of another type that cause translation to terminate prematurely at or downstream of codon 208, also within exon 6, have no effect on the level of nuclear TPI mRNA. In this work, quantitations of RNA that derived from TPI alleles in which nonsense codons had been generated between codons 189 and 208 revealed that the boundary between the two types of nonsense codons resides between codons 192 and 195. The analysis of TPI gene insertions and deletions indicated that the positional feature differentiating the two types of nonsense codons is the distance of the nonsense codon upstream of intron 6. For example, the movement of intron 6 to a position downstream of its normal location resulted in a concomitant downstream movement of the boundary between the two types of nonsense codons. The analysis of intron 6 mutations indicated that the intron 6 effect is stipulated by the 88 nucleotides residing between the 5' and 3' splice sites. Since the deletion of intron 6 resulted in only partial abrogation of the nonsense codon-mediated reduction in the level of TPI mRNA, other sequences within TPI pre-mRNA must function in the effect. One of these sequences may be intron 2, since the deletion of intron 2 also resulted in partial abrogation of the effect. In experiments that switched introns 2 and 6, the replacement of intron 6 with intron 2 was of no consequence to the effect of a nonsense codon within either exon 1 or exon 6. In contrast, the replacement of intron 2 with intron 6 was inconsequential to the effect of a nonsense codon in exon 6 but resulted in partial abrogation of a nonsense codon in exon 1.

Amino Acid Sequence↗