Genetic polymorphism in untranslated regions of PRKCZ influences mRNA structure, stability and binding sites.

BACKGROUND: Variations in untranslated regions (UTR) alter regulatory pathways impacting phenotype, disease onset, and course of disease. Protein kinase C Zeta (PRKCZ), a serine-threonine kinase, is implicated in cardiovascular, neurological and oncological disorders. Due to limited research on PRKCZ, this study aimed to investigate the impact of UTR genetic variants' on binding sites for transcription factors and miRNA. RNA secondary structure, eQTLs, and variation tolerance analysis were also part of the study. METHODS: The data related to PRKCZ gene variants was downloaded from the Ensembl genome browser, COSMIC and gnomAD. The RegulomeDB database was used to assess the functional impact of 5' UTR and 3'UTR variants. The analysis of the transcription binding sites (TFBS) was done through the Alibaba tool, and the Kyoto Encyclopaedia of Genes and Genomes (KEGG) was employed to identify pathways associated with PRKCZ. To predict the effect of variants on microRNA binding sites, PolymiRTS was utilized for 3' UTR variants, and the SNPinfo tool was used for 5' UTR variants. RESULTS: The results obtained indicated that a total of 24 variants present in the 3' UTR and 25 variants present in the 5' UTR were most detrimental. TFBS analysis revealed that 5' UTR variants added YY1, repressor, and Oct1, whereas 3' UTR variants added AP-2alpha, AhR, Da, GR, and USF binding sites. The study predicted TFs that influenced PRKCZ expression. RNA secondary structure analysis showed that eight 5' UTR and six 3' UTR altered the RNA structure by either removal or addition of the stem-loop. The microRNA binding site analysis highlighted that seven 3' UTR and one 5' UTR variant altered the conserved site and also created new binding sites. eQTLs analysis showed that one variant was associated with PRKCZ expression in the lung and thyroid. The variation tolerance analysis revealed that PRKCZ was an intolerant gene. CONCLUSION: This study laid the groundwork for future studies aimed at targeting PRKCZ as a therapeutic target.

Whole genome sequencing and genome characterization of Aichivirus isolated from Korean adults.

The whole-genome sequence (WGS) analysis of Aichivirus (AiV) identified in Korea was performed in this study. Using Sanger and Nanopore sequencing, the 8228-nucleotide-long genomic sequence of AiV (OQ121963) was determined and confirmed to belong to genotype A. The full-length genome of OQ121963 consisted of a 7296 nt open reading frame (ORF) that encodes a single polyprotein, and 5' UTR (676 nt) and 3' UTR (256 nt) at 5' and 3' ends, respectively. The ORF consisted of leader protein (L), structural protein P1 (VP0, VP1, and VP3), and nonstructural protein P2 (2A, 2B, and 2C) and P3 (3A, 3B, 3C, and 3D). The secondary structure analysis of the 5' UTR identified only stem-loop C (SL-C) and not SL-A and SL-B. The variable region of the AiV genome was analyzed by MegAlign Pro and reconfirmed by SimPlot analysis using 16 AiV whole genomes known to date. Among the entire regions, structural protein region P1 showed the lowest amino acid identity (96.07%) with reference sequence AB040749 (originated in Japan; genotype A), while the highest amino acid identity (98.26%) was confirmed in the 3D region among nonstructural protein region P2 and P3. Moreover, phylogenetic analysis of the WGS of OQ121963 showed the highest homology (96.96%) with JX564249 (originated in Taiwan; genotype A) and lowest homology (90.14%) with DQ028632 (originated in Brazil; genotype B). Therefore, the complete genome characterization of OQ121963 and phylogenetic analysis of the AiV conducted in this study provide useful information allowing to improve diagnostic tools and epidemiological studies of AiVs.

Rli51 Attenuates Transcription of the Listeria Pathogenicity Island 1 Gene mpl and Functions as a Trans-Acting sRNA in Intracellular Bacteria.

Listeria pathogenicity island 1 (LIPI-1) is a genetic region containing a cluster of genes essential for virulence of the bacterial pathogen Listeria monocytogenes. Main virulence factors in LIPI-1 include long 5' untranslated regions (5'UTRs), among which is Rli51, a small RNA (sRNA) in the 5'UTR of the Zn-metalloprotease-coding mpl. So far, Rli51 function and molecular mechanisms have remained obscure. Here, we show that Rli51 exhibits a dual mechanism of regulation, functioning as a cis- and as a trans-acting sRNA. Under nutrient-rich conditions, rli51-mpl transcription is prematurely terminated, releasing a short 121-nucleotide-long sRNA. Rli51 is predicted to function as a transcription attenuator that can fold into either a terminator or a thermodynamically more stable antiterminator. We show that the sRNA Rli21/RliI binds to a single-stranded RNA loop in Rli51, which is essential to mediate premature transcription termination, suggesting that sRNA binding could stabilize the terminator fold. During intracellular infection, rli51 transcription is increased, which generates a higher abundance of the short Rli51 sRNA and allows for transcriptional read-through into mpl. Comparative intracellular bacterial transcriptomics in rli51-null mutants and the wild-type reference strain EGD-e suggests that Rli51 upregulates iron-scavenging proteins and downregulates virulence factors from LIPI-1. MS2 affinity purification confirmed that Rli51 binds transcripts of the heme-binding protein Lmo2186 and Lmo0937 in vivo. These results prove that Rli51 functions as a trans-acting sRNA in intracellular bacteria. Our research shows a growth condition-dependent mechanism of regulation for Rli51, preventing unintended mpl transcription in extracellular bacteria and regulating genes important for virulence in intracellular bacteria.

Exploring the transcription start sites and other genomic features facilitates the accurate identification and annotation of small RNAs across multiple stress conditions in Mycobacterium tuberculosis.

Mycobacterium tuberculosis (MTB) is a pathogen that is known for its ability to persist in harsh environments and cause chronic infections. Understanding the regulatory networks of MTB is crucial for developing effective treatments. Small regulatory RNAs (sRNAs) play important roles in gene expression regulation in all kingdoms of life, and their classification based solely on genomic location can be imprecise due to the computational-based prediction of protein-coding genes in bacteria, which often neglects segments of mRNA such as 5'UTRs, 3'UTRs, and intercistronic regions of operons. To address this issue, our study simultaneously discovered genomic features such as TSSs, UTRs, and operons together with sRNAs in the M. tuberculosis H37Rv strain (ATCC 27294) across multiple stress conditions. Our analysis identified 1,376 sRNA candidates and 8,173 TSSs in MTB, providing valuable insights into its complex regulatory landscape. TSS mapping enabled us to classify these sRNAs into more specific categories, including promoter-associated sRNAs, 5'UTR-derived sRNAs, 3'UTR-derived sRNAs, true intergenic sRNAs, and antisense sRNAs. Three of these sRNA candidates were experimentally validated using 3'-RACE-PCR: predictedRNA_0240, predictedRNA_0325, and predictedRNA_0578. Future characterization and validation are necessary to fully elucidate the functions and roles of these sRNAs in MTB. Our study is the first to simultaneously unravel TSSs and sRNAs in MTB and demonstrate that the identification of other genomic features, such as TSSs, UTRs, and operons, allows for more accurate and specific classification of sRNAs.

Current limitations in predicting mRNA translation with deep learning models.

BACKGROUND: The design of nucleotide sequences with defined properties is a long-standing problem in bioengineering. An important application is protein expression, be it in the context of research or the production of mRNA vaccines. The rate of protein synthesis depends on the 5' untranslated region (5'UTR) of the mRNAs, and recently, deep learning models were proposed to predict the translation output of mRNAs from the 5'UTR sequence. At the same time, large data sets of endogenous and reporter mRNA translation have become available. RESULTS: In this study, we use complementary data obtained in two different cell types to assess the accuracy and generality of currently available models for predicting translational output. We find that while performing well on the data sets on which they were trained, deep learning models do not generalize well to other data sets, in particular of endogenous mRNAs, which differ in many properties from reporter constructs. CONCLUSIONS: These differences limit the ability of deep learning models to uncover mechanisms of translation control and to predict the impact of genetic variation. We suggest directions that combine high-throughput measurements and machine learning to unravel mechanisms of translation control and improve construct design.

Full genomic sequence of the HLA-DQB1*06:18:01 allele identified by next-generation sequencing.

Full-length sequence of HLA-DQB1*06:18:01 covers the 5'-untranslated region (UTR), all introns and exons, and the 3' UTR.

Revealing miRNAs patterns by employing matrix representations and energy analysis.

MicroRNAs (miRNAs) are small, non-coding RNA molecules that regulate gene expression. Despite their relatively short length (about 21 nucleotides), they can regulate thousands of transcripts within a cell. Due to their low complementarity to targets, studying their activity and binding region preferences (3'UTR, 5'UTR, or CDS) is challenging. In this paper, we analyzed a set of human miRNAs to uncover their general patterns. We began with a sequence logo to verify conservation at specific positions. To discover long-range correlations, we employed chaos game representation (CGR) and genomatrix, methods that enable both graphical and analytical analysis of sequence sets and are well-established in bioinformatics. Our results showed that miRNAs exhibit strongly non-random and characteristic patterns. To incorporate physicochemical properties into the analysis, we applied the electron-ion interaction potential (EIIP) parameter. An important part of our study was to validate the division of miRNAs into two parts-seed and puzzle. The seed region is responsible for target binding, while the puzzle region likely interacts with the RISC complex. We estimated duplex binding energy within the 3'UTR, 5'UTR, and CDS regions using the miRanda tool. Based on the median energy distribution, we divided the miRNAs into two subsets, reflecting different patterns in chaos game representation. Interestingly, one subset displayed significant similarity to conserved and highly confidential miRNAs. Our results confirm the low complementarity of miRNA/mRNA interactions and support the functional division of miRNA structure. Additionally, we present findings related to the localization of transcript target sites, which form the basis for further analyses.

Mechanistic insights into steroid hormone-mediated regulation of the androgen receptor gene.

Expression of the androgen receptor is key to the response of cells and tissues to androgenic steroids, such as testosterone or dihydrotestosterone, as well as impacting the benefit of hormone-dependent therapies for endocrine diseases and hormone-dependent cancers. However, the mechanisms controlling androgen receptor expression are not fully understood, limiting our ability to effectively promote or inhibit androgenic signalling therapeutically. An autoregulatory loop has been described in which androgen receptor may repress its own expression in the presence of hormone, although the molecular mechanisms are not fully understood. In this work, we elucidate the mechanisms of autoregulation and demonstrate, for the first time, that a similar repression of the AR gene is facilitated by the progesterone receptor. We show that the progesterone receptor, like the androgen receptor binds to response elements within the AR gene to effect transcriptional repression in response to hormone treatment. Mechanistically, this repression involves hormone-dependent histone deacetylation within the AR 5'UTR region and looping between sequences in intron 2 and the transcription start site (TSS). This novel pathway controlling AR expression in response to hormone stimulation may have important implications for understanding cell or tissue selective receptor signalling.

Optimization of the 5' untranslated region of mRNA vaccines.

To investigate the impact of different 5' untranslated regions (UTRs) on mRNA vaccine translation efficiency, five dual-reporter gene expression plasmids with different 5'UTRs were constructed. The corresponding mRNA transcripts were transcribed and capped in vitro. By comparing the expression levels of reporter genes with different 5'UTRs, we identified the 5'UTR associated with the highest expression level. Subsequently, HIVgp145 mRNA vaccines containing various 5'UTRs were constructed and verified. The results demonstrated that mRNA 3 (ß-globin 5'UTR) displayed the greatest number of green fluorescence-positive cells and the highest luciferase fluorescence intensity in the reporter gene expression system. Further, among the HIVgp145 mRNA vaccines with different 5'UTRs, mRNA 7 (ß-globin 5'UTR) exhibited the highest level of expression. These findings indicate that it is feasible to use the 5'UTR of ß-globin in an mRNA vaccine, laying the foundation for animal immunogenicity testing.

Analysis of the 5' Untranslated Region Length-Dependent Control of Gene Expression in Maize: A Case Study with the ZmLAZ1 Gene Family.

The untranslated regions (UTRs) within plant mRNAs play crucial roles in regulating gene expression and the functionality of post-translationally modified proteins by various mechanisms. These regions are vital for plants' ability to sense to multiple developmental and environmental stimuli. In this study, we conducted a genome-wide analysis of UTRs and UTR-containing genes in maize (Zea mays). Using the ZmLAZ1 family as a case study, we demonstrated that the length of 5' UTRs could influence gene expression levels by employing GUS reporter gene assays. Although maize and arabidopsis (Arabidopsis thaliana), as well as rice (Oryza sativa), have distinct functional categories of UTR-containing genes, we observed a similar lengthwise distribution of UTRs and a recurring appearance of certain gene ontology (GO) terms between maize and rice. These suggest a potentially conserved mechanism within the Poaceae species. Furthermore, the analysis of cis-acting elements in these 5' UTRs of the ZmLAZ1 gene family further supports the hypothesis that UTRs confer functional specificity to genes in a length-dependent manner. Our findings offer novel insights into the role of UTRs in maize, contributing to the broader understanding of gene expression regulation in plants.

Impact of thrombocytopenia-associated c.-118C>T and c.-140C>G ANKRD26 5'UTR variants in three-generational pedigree.

Inherited thrombocytopenias (ITs) encompass a group of rare disorders characterized by diminished platelet count. Recent advancements have unveiled various forms of IT, with inherited thrombocytopenia 2 (THC2) emerging as a prevalent subtype associated with germline variants in the critical 5' untranslated region of the ANKRD26 gene. This region is crucial in regulating the gene expression of ANKRD26, particularly in megakaryocytes. THC2 is an autosomal dominant disorder presenting as mild-to-moderate thrombocytopenia with minimal symptoms, with an increased risk of myeloproliferative malignancies. In our study of a family with suspected IT, three affected individuals harbored the c.-118C>T ANKRD26 variant, while four healthy members carried the c.-140C>G ANKRD26 variant. We performed a functional analysis by studying platelet-specific ANKRD26 gene expression levels using quantitative real-time polymerase-chain reaction. Functional analysis of the c.-118C>T variant showed a significant increase in ANKRD26 expression in affected individuals, supporting its pathogenicity. On the contrary, carriers of the c.-140C>G variant exhibited normal platelet counts and no significant elevation in the ANKRD26 expression, indicating the likely benign nature of this variant. Our findings provide evidence confirming the pathogenicity of the c.-118C>T ANKRD26 variant in THC2 and suggest the likely benign nature of the c.-140C>G variant.

What is the context?Inherited thrombocytopenias (ITs) are rare conditions characterized by low platelet counts. Inherited thrombocytopenia 2 (THC2) is caused by ANKRD26 gene changes leading to increased ANKRD26 expression as the main reason for subsequent thrombocytopenia. THC2 results in a mild-to-moderate decrease in platelet count and increases blood cancer risk. We focused on understanding two ANKRD26 variants in a family with a history of thrombocytopenia.What is new?We conducted functional analysis to understand the effect of variants on platelet function and gene expression. We identified three thrombocytopenic family members as carriers of ANKRD26 variant c.-118C>T. This variant is linked to increased expression of the ANKRD26 gene and confirmed as the likely cause of THC2. Another variant, c.-140C>G, was present in four healthy family members. Although it was considered causal for THC2 in the past, our study suggests that the c.-140C>G variant does not elevate ANKRD26 expression and does not cause thrombocytopenia.What is the impact?Understanding the genetic and functional implications of ANKRD26 gene variants is crucial for THC2 diagnosis and management. Our study emphasizes the necessity of conducting functional analyses to precisely evaluate the clinical significance of variants linked to inherited blood disorders. Carriers of the c.-118C>T variant should undergo vigilant monitoring for THC2 and potential cancer development. Conversely, the c.-140C>G variant does not pose a risk of THC2 or heightened cancer susceptibility.

Effective lowering of α-synuclein expression by targeting G-quadruplex structures within the SNCA gene.

Alpha-synuclein, encoded by the SNCA gene, is a pivotal protein implicated in the pathogenesis of synucleinopathies, including Parkinson's disease. Current approaches for modulating alpha-synuclein levels involve antisense nucleotides, siRNAs, and small molecules targeting SNCA's 5'-UTR mRNA. Here, we propose a groundbreaking strategy targeting G-quadruplex structures to effectively modulate SNCA gene expression and lowering alpha-synuclein amount. Novel G-quadruplex sequences, identified on the SNCA gene's transcription starting site and 5'-UTR of SNCA mRNAs, were experimentally confirmed for their stability through biophysical assays and in vitro experiments on human genomic DNA. Biological validation in differentiated SH-SY5Y cells revealed that well-known G-quadruplex ligands remarkably stabilized these structures, inducing the modulation of SNCA mRNAs expression, and the effective decrease in alpha-synuclein amount. Besides, a novel peptide nucleic acid conjugate, designed to selectively disrupt of G-quadruplex within the SNCA gene promoter, caused a promising lowering of both SNCA mRNA and alpha-synuclein protein. Altogether our findings highlight G-quadruplexes' key role as intriguing biological targets in achieving a notable and successful reduction in alpha-synuclein expression, pointing to a novel approach against synucleinopathies.

Transcription start site choice regulates HIV-1 RNA conformation and function.

HIV-1, the causative agent of AIDS, is a retrovirus that packages two copies of unspliced viral RNA as a dimer into newly budding virions. The unspliced viral RNA also serves as an mRNA template for translation of two polyproteins. Recent studies suggest that the fate of the viral RNA (genome or mRNA) is determined at the level of transcription. RNA polymerase II uses heterogeneous transcription start sites to generate major transcripts that differ in only two guanosines at the 5' end. Remarkably, this two-nucleotide difference is sufficient to alter the structure of the 5'-untranslated region and generate two pools of RNA with distinct functions. The presence of both RNA species is needed for optimal viral replication and fitness.

Chloroplast Cell-Free Systems from Different Plant Species as a Rapid Prototyping Platform.

Climate change poses a significant threat to global agriculture, necessitating innovative solutions. Plant synthetic biology, particularly chloroplast engineering, holds promise as a viable approach to this challenge. Chloroplasts present a variety of advantageous traits for genetic engineering, but the development of genetic tools and genetic part characterization in these organelles is hindered by the lengthy time scales required to generate transplastomic organisms. To address these challenges, we have established a versatile protocol for generating highly active chloroplast-based cell-free gene expression (CFE) systems derived from a diverse range of plant species, including wheat (monocot), spinach, and poplar trees (dicots). We show that these systems work with conventionally used T7 RNA polymerase as well as the endogenous chloroplast polymerases, allowing for detailed characterization and prototyping of regulatory sequences at both transcription and translation levels. To demonstrate the platform for characterization of promoters and 5' and 3' untranslated regions (UTRs) in higher plant chloroplast gene expression, we analyze a collection of 23 5'UTRs, 10 3'UTRs, and 6 chloroplast promoters, assessed their expression in spinach and wheat extracts, and found consistency in expression patterns, suggesting cross-species compatibility. Looking forward, our chloroplast CFE systems open new avenues for plant synthetic biology, offering prototyping tools for both understanding gene expression and developing engineered plants, which could help meet the demands of a changing global climate.

Enrichment of rare codons at 5' ends of genes is a spandrel caused by evolutionary sequence turnover and does not improve translation.

Previously, Tuller et al. found that the first 30-50 codons of the genes of yeast and other eukaryotes are slightly enriched for rare codons. They argued that this slowed translation, and was adaptive because it queued ribosomes to prevent collisions. Today, the translational speeds of different codons are known, and indeed rare codons are translated slowly. We re-examined this 5' slow translation 'ramp.' We confirm that 5' regions are slightly enriched for rare codons; in addition, they are depleted for downstream Start codons (which are fast), with both effects contributing to slow 5' translation. However, we also find that the 5' (and 3') ends of yeast genes are poorly conserved in evolution, suggesting that they are unstable and turnover relatively rapidly. When a new 5' end forms de novo, it is likely to include codons that would otherwise be rare. Because evolution has had a relatively short time to select against these codons, 5' ends are typically slightly enriched for rare, slow codons. Opposite to the expectation of Tuller et al., we show by direct experiment that genes with slowly translated codons at the 5' end are expressed relatively poorly, and that substituting faster synonymous codons improves expression. Direct experiment shows that slow codons do not prevent downstream ribosome collisions. Further informatic studies suggest that for natural genes, slow 5' ends are correlated with poor gene expression, opposite to the expectation of Tuller et al. Thus, we conclude that slow 5' translation is a 'spandrel'--a non-adaptive consequence of something else, in this case, the turnover of 5' ends in evolution, and it does not improve translation.

Evidence for widespread translation of 5' untranslated regions.

Ribosome profiling experiments support the translation of a range of novel human open reading frames. By contrast, most peptides from large-scale proteomics experiments derive from just one source, 5' untranslated regions. Across the human genome we find evidence for 192 translated upstream regions, most of which would produce protein isoforms with extended N-terminal ends. Almost all of these N-terminal extensions are from highly abundant genes, which suggests that the novel regions we detect are just the tip of the iceberg. These upstream regions have characteristics that are not typical of coding exons. Their GC-content is remarkably high, even higher than 5' regions in other genes, and a large majority have non-canonical start codons. Although some novel upstream regions have cross-species conservation - five have orthologues in invertebrates for example - the reading frames of two thirds are not conserved beyond simians. These non-conserved regions also have no evidence of purifying selection, which suggests that much of this translation is not functional. In addition, non-conserved upstream regions have significantly more peptides in cancer cell lines than would be expected, a strong indication that an aberrant or noisy translation initiation process may play an important role in translation from upstream regions.

Development of a Type I-E CRISPR-Based Programmable Repression System for Fine-Tuning Metabolic Flux toward D-Pantothenic Acid in Bacillus subtilis.

The CRISPR-based regulation tools enable fine-tuning of gene transcription, showing potential in areas of biomanufacturing and live therapeutics. However, the cell toxicity and PAM specificity of existing CRISPR-based regulation systems limit their broad application. The development of new and less-toxic CRISPR-controlled expression systems remains highly desirable for expanding the application scope of CRISPR-based tools. Here, we reconstituted the type I CRISPR-Cas system from Escherichia coli to finely tune gene expression in Bacillus subtilis. Through engineering the 5' untranslated region (UTR) of mRNAs of cas genes, we remarkably improved the efficacy of the type I CRISPRi system. The improved type I CRISPRi system was applied in engineering the D-pantothenic acid (DPA)-producing B. subtilis, which was generated by strengthening the metabolic flux toward ß-alanine and (R)-pantoate via enhancing expression of key enzymes at both transcriptional and translational levels. Through controlling the expression of pdhA with the CRISPRi system for fine-tuning the metabolic flux toward DPA and the TCA cycle, we elevated the DPA titer to 0.88 g/L in shake flasks and 12.81 g/L in fed-batch fermentations without the addition of the precursor ß-alanine. The type I CRISPRi system and the strategy for fine-tuning metabolic flux reported here not only enrich the CRISPR toolbox in B. subtilis and facilitate DPA production through microbial fermentation but also provide a paradigm for programming important organisms to produce value-added chemicals with cheap raw materials.

The novel HLA-C*04:01:01:182 allele identified in a candidate bone marrow donor by next-generation sequencing.

HLA-C*04:01:01:182 differs from the HLA-C*04:01:01:06 allele by one nucleotide substitution in the 5'UTR.

Functional Analysis of GRSF1 in the Nuclear Export and Translation of Influenza A Virus mRNAs.

Influenza A viruses (IAV) utilize host proteins throughout their life cycle to infect and replicate in their hosts. We previously showed that host adaptive mutations in avian IAV PA help recruit host protein G-Rich RNA Sequence Binding Factor 1 (GRSF1) to the nucleoprotein (NP) 5' untranslated region (UTR), leading to the enhanced nuclear export and translation of NP mRNA. In this study, we evaluated the impact of GRSF1 in the viral life cycle. We rescued and characterized a 2009 pH1N1 virus with a mutated GRSF1 binding site in the 5' UTR of NP mRNA. Mutant viral growth was attenuated relative to pH1N1 wild-type (WT) in mammalian cells. We observed a specific reduction in the NP protein production and cytosolic accumulation of NP mRNAs, indicating a critical role of GRSF1 in the nuclear export of IAV NP mRNAs. Further, in vitro-transcribed mutated NP mRNA was translated less efficiently than WT NP mRNA in transfected cells. Together, these findings show that GRSF1 binding is important for both mRNA nuclear export and translation and affects overall IAV growth. Enhanced association of GRSF1 to NP mRNA by PA mutations leads to rapid virus growth, which could be a key process of mammalian host adaptation of IAV.

TED: Enhancing Translation Efficiency in Bacterial Expression Systems.

Genetic engineering enables the forced expression of desired products in bacteria, which can then be used for a variety of applications, including functional analysis and pharmaceuticals. Here, we describe a method for tuning translation in bacteria, including Escherichia coli and Rhodobacter capsulatus, based on a phenomenon known as TED (translation enhancement by a Dictyostelium gene sequence). This method promotes translation of mRNA encoded by downstream genes by inserting a short nucleotide sequence into the 5' untranslated region between the promoter and the Shine-Dalgarno (SD) sequence. Various expression levels can be observed depending on the inserted sequence and its length, even with an identical promoter.