HIV-1B亚型gp120基因密码子优化前后免疫原性的比较

对HIV-1B亚型gp120基因按照哺乳动物优势密码子的使用原则进行优化,以Westem blot方法比较其体外表达量.将优化前的野生型gp120基因和改造后的modgp120基因插入重组腺伴随病毒载体,构建了重组病毒rAAV-wtgp120和rAAV-modgp120,比较两者免疫Balb/C小鼠后的抗体和CTL应答.Western blot检测结果显示:优化后基因的体外表达量明显高于野生型基因,rAAV-modgp120与rAAV-wtgp120相比可更好地诱导Balb/C小鼠的CTL应答,但检测不到明显的抗体反应.由此得出结论,优化后gp120基因的体外表达量明显高于野生型基因,并且可以诱导更强的特异性CTL应答,但检测不到gp120抗体.     

HIV-1 gag expression is quantitatively dependent on the ratio of native and optimized codons

There is a significant variation of codon usage bias among different species and even among genes within the same organisms. Codon optimization, this is, gene redesigning with the use of codons preferred for the specific expression system, results in improved expression of heterologous genes in bacteria, plants, yeast, mammalian cells, and transgenic animals. The mechanisms preventing expression of genes with rare or low-usage codons at adequate levels are not completely elucidated. Human immunodeficiency virus (HIV) represents an interesting model for studying how differences in codon usage affect gene expression in heterologous systems. Construction of synthetic genes with optimized codons demonstrated that the codon-usage effects might be a major impediment to the efficient expression of HIV gag/pol and env gene products in mammalian cells. According to another hypothesis, the poor expression of HIV structural proteins even without HIV context is attributed to the so-called cis-acting inhibitory elements (INS), which are located within the protein-coding region. They consist of AU-rich sequences and may be inactivated through the introduction of multiple mutations over the large regions of gag gene. In our work, we evaluated expression of hybrid HIV-1 gag mRNAs where wild-type (A-rich) gag sequences were combined with artificial sequences. In such "humanized" gag fragments with adapted codon usage, AT-content was significantly reduced in favor of G and C nucleotides without any changes in protein sequence. We show that wild-type gag sequences negatively influence expression of gag-reporter, and the addition of fragments with optimized codons to gag mRNA partially rescues its expression. The results demonstrate that the expression of HIV-1 gag is determined by the ratio of optimized and rare codons within mRNA. Our data also indicates that some wtgag fragments counteract the influence of the other wtgag sequences, which cause the inhibition of gag expression. The presented data do not contradict the concept of INS; yet, it makes the definition of INS more complex. This supports the idea of a broader role of the selected codon usage in influencing the expression of HIV proteins in mammalian cells.     

The Selective Advantage of Synonymous Codon Usage Bias in Salmonella

The genetic code in mRNA is redundant, with 61 sense codons translated into 20 different amino acids. Individual amino acids are encoded by up to six different codons but within codon families some are used more frequently than others. This phenomenon is referred to as synonymous codon usage bias. The genomes of free-living unicellular organisms such as bacteria have an extreme codon usage bias and the degree of bias differs between genes within the same genome. The strong positive correlation between codon usage bias and gene expression levels in many microorganisms is attributed to selection for translational efficiency. However, this putative selective advantage has never been measured in bacteria and theoretical estimates vary widely. By systematically exchanging optimal codons for synonymous codons in the tuf genes we quantified the selective advantage of biased codon usage in highly expressed genes to be in the range 0.2–4.2 x 10⁻⁴ per codon per generation. These data quantify for the first time the potential for selection on synonymous codon choice to drive genome-wide sequence evolution in bacteria, and in particular to optimize the sequences of highly expressed genes. This quantification may have predictive applications in the design of synthetic genes and for heterologous gene expression in biotechnology.     

GASCO: genetic algorithm simulation for codon optimization

Codon optimization is a generic technique to achieve optimum expression of a foreign gene in the host's cell system. Selection of optimum codons depends on codon usage of the host genome and the presence of several desirable and undesirable sequence motifs. Searching these motifs in all possible combinations of the codons increases the search space exponentially with respect to sequence length. GASCO is an algorithm developed for the optimum codon selection using genetic algorithms. The algorithm reduces the search space and provides an approximate solution to the problem. The algorithm has applications in DNA vaccine design for successfully eliciting potent immune responses and synthetic gene design for metabolic pathway engineering. The software for the proposed algorithm is available on http://miracle.igib.res.in/gasco/.     

Expression of human immunodeficiency virus type 1 gp120 from herpes simplex virus type 1-derived amplicons results in potent, specific, and durable cellular and humoral immune responses

Herpes simplex virus type 1 (HSV-1) infects a wide range of cells, including dendritic cells. Consequently, HSV-1 vectors may be capable of eliciting strong immune responses to vectored antigens. To test this hypothesis, an HSV-1 amplicon plasmid encoding human immunodeficiency virus type 1 gp120 was constructed, and murine immune responses to helper virus-free amplicon preparations derived from this construct were evaluated. Initial studies revealed that a single intramuscular (i.m.) injection of 10(6) infectious units (i.u.) of HSV:gp120 amplicon particles (HSV:gp120) elicited Env-specific cellular and humoral immune responses. A potent, CD8(+)-T-cell-mediated response to an H-2D(d)-restricted peptide from gp120 (RGPGRAFVTI) was measured by a gamma interferon ELISPOT and was confirmed by standard cytotoxic-T-lymphocyte assays. Immunoglobulin G enzyme-linked immunosorbent assay analysis showed the induction of a strong, Env-specific antibody response. An i.m. or an intradermal administration of HSV:gp120 at the tail base elicited a more potent cellular immune response than did an intraperitoneal (i.p.) inoculation, although an i.p. introduction generated a stronger humoral response. The immune response to HSV:gp120 was durable, with robust cellular and humoral responses persisting at 171 days after a single 10(6)-i.u. inoculation. The immune response to HSV:gp120 was also found to be dose dependent: as few as 10(4) i.u. elicited a strong T-cell response. Finally, HSV:gp120 elicited significant Env-specific cellular immune responses even in animals that had been previously infected with wild-type HSV-1. Taken together, these data strongly support the use of helper-free HSV-1 amplicon particles as vaccine delivery vectors.     

Design Parameters to Control Synthetic Gene Expression in Escherichia coli

Background

Production of proteins as therapeutic agents, research reagents and molecular tools frequently depends on expression in heterologous hosts. Synthetic genes are increasingly used for protein production because sequence information is easier to obtain than the corresponding physical DNA. Protein-coding sequences are commonly re-designed to enhance expression, but there are no experimentally supported design principles.

Principal Findings

To identify sequence features that affect protein expression we synthesized and expressed in E. coli two sets of 40 genes encoding two commercially valuable proteins, a DNA polymerase and a single chain antibody. Genes differing only in synonymous codon usage expressed protein at levels ranging from undetectable to 30% of cellular protein. Using partial least squares regression we tested the correlation of protein production levels with parameters that have been reported to affect expression. We found that the amount of protein produced in E. coli was strongly dependent on the codons used to encode a subset of amino acids. Favorable codons were predominantly those read by tRNAs that are most highly charged during amino acid starvation, not codons that are most abundant in highly expressed E. coli proteins. Finally we confirmed the validity of our models by designing, synthesizing and testing new genes using codon biases predicted to perform well.

Conclusion

The systematic analysis of gene design parameters shown in this study has allowed us to identify codon usage within a gene as a critical determinant of achievable protein expression levels in E. coli. We propose a biochemical basis for this, as well as design algorithms to ensure high protein production from synthetic genes. Replication of this methodology should allow similar design algorithms to be empirically derived for any expression system.