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Comprehensive quantitative modeling of translation efficiency in a genome-reduced bacterium.

Translation efficiency has been mainly studied by ribosome profiling, which only provides an incomplete picture of translation kinetics. Here, we integrated the absolute quantifications of tRNAs, mRNAs, RNA half-lives, proteins, and protein half-lives with ribosome densities and derived the initiation and elongation rates for 475 genes (67% of all genes), 73 with high precision, in the bacterium Mycoplasma pneumoniae (Mpn). We found that, although the initiation rate varied over 160-fold among genes, most of the known factors had little impact on translation efficiency. Local codon elongation rates could not be fully explained by the adaptation to tRNA abundances, which varied over 100-fold among tRNA isoacceptors. We provide a comprehensive quantitative view of translation efficiency, which suggests the existence of unidentified mechanisms of translational regulation in Mpn.

RNA, Transfer

A novel eIF2B-dependent mechanism of translational control in yeast as a response to fusel alcohols.

Fusel alcohols are natural products of amino acid catabolism in the yeast Saccharomyces cerevisiae that cause morphological changes similar to those seen during pseudohyphal growth. We have discovered that certain of these alcohols, including butanol and isoamyl alcohol, bring about a rapid inhibition of translation at the initiation step. This inhibition is strain specific and is not explained by previously described translational control pathways. Using genetic mapping, we have identified a proline to serine allelic variation at amino acid 180 of the GCD1 gene product as the genetic locus that allows translational regulation upon butanol addition. Gcd1p forms part of the eIF2B guanine nucleotide complex that is responsible for recycling eIF2-GDP to eIF2-GTP. This represents one of the key limiting steps of translation initiation and we provide evidence that fusel alcohols target eIF2B in order to bring about translational regulation.

Alcohols

A trainable language model with potential to modulate translation rates in non-model organisms by generating upstream untranslated region sequence libraries.

Tuning protein expression in non-model organisms is often constrained by the lack of validated genetic parts and predictive design tools. Translational tuning through the modulation of upstream untranslated regions (5'-UTRs) offers a potentially organism-agnostic route, but existing methods typically rely on mechanistic assumptions, prior knowledge that may not be available in non-model contexts, or the screening of sequence libraries. Here, we present a simple generative approach for creating synthetic 5'-UTR libraries based solely on the genomic sequence statistics of any desired organism. The method uses a sliding-window n-gram language model applied to native 5'-UTR sequences to produce novel sequences that preserve organism-specific base distributions and motifs without hard-coding specific motifs or mechanistic rules into inflexible statistical templates. We have applied this approach to the model bacterium Escherichia coli and the non-model probiotic Limosilactobacillus reuteri. Libraries of approximately 1,000 sequences were generated for each organism, from which about 100 unique sequences were experimentally tested for translation of a fluorescent reporter protein. In both organisms, the synthetic libraries yielded a broad range of translation levels from this relatively small number of tested variants. Sequences derived from an organism's own genomic statistics provided a more uniformly distributed range of translation rates in that organism than sequences derived from the other species. Correlations of individual sequence performance across the two species were weak, and thermodynamic predictions of ribosome binding strength showed very little predictive power, especially in the non-model L. reuteri. The results demonstrate that simple statistical language model approaches applied to genomic data can generate functional translational regulatory sequence libraries without detailed mechanistic knowledge or explicit reference to consensus motifs. The approach requires minimal computational resources, avoids reproducing native sequences, and can be readily applied to any organism with a sequenced genome. This strategy may lower technical barriers to expression tuning in non-model organisms.

5' Untranslated Regions

Translational Gap in Biomarker Discovery: Tumor Surface Markers Rarely Mirror Circulating Levels.

BACKGROUND: Tumor-associated cell surface proteins are frequently proposed as circulating biomarkers for colorectal cancer (CRC) based on their high tumor expression. However, many candidates identified through tissue-based analyses fail to translate into clinically useful biomarkers. We investigated the translational gap between tissue-level expression and circulating detectability in CRC, focusing on molecular subtypes defined by caudal-type homeobox 2 (CDX2) expression. METHODS: Transcriptomic data from The Cancer Genome Atlas (TCGA) were analyzed to identify cell surface markers differentially expressed between CDX2-Low and CDX2-High CRCs. A clinical cohort of right-sided CRC patients was evaluated using paired tumor tissue and preoperative plasma samples. CDX2 expression was assessed by immunohistochemistry, and circulating concentrations of selected cell surface proteins were quantified using a multiplex ELISA platform. RESULTS: Several tumor-associated cell surface markers exhibited marked CDX2-dependent differences in tissue expression. However, for most markers, circulating plasma levels did not mirror tissue-level patterns. CEACAM1 was the sole marker demonstrating concordant CDX2-dependent differences in both tumor tissue and plasma, with significantly lower levels in CDX2-Low CRCs. In contrast, CEACAM5 showed a dissociation between tissue expression and circulating levels, despite analytical validation against serum carcinoembryonic antigen (CEA). CONCLUSIONS: Our findings demonstrate that tumor overexpression of cell surface markers does not necessarily translate into detectable circulating biomarkers. This translational disconnect underscores limitations of biomarker selection strategies based solely on tissue expression and highlights the importance of integrating systemic biology into biomarker development. While some tumor-associated proteins may lack utility as circulating biomarkers, they may still represent viable therapeutic targets in CRC.

CDX2

DDX3X acts as a selective dual switch regulator of mRNA translation in acute ER stress.

Regulation of eukaryotic mRNA translation initiation greatly impacts gene expression and is critical for cellular stress response. DDX3X is a ubiquitous DEAD-box RNA helicase whose precise role in scanning and translation regulation in non-stressed and stressed cells remains incompletely understood. Here, we show that DDX3X associates with thousands of mRNAs as part of the eIF4F-mediated 48S scanning complex and exerts dual regulatory effects, promoting or repressing translation of select mRNAs under basal conditions and reversing this regulation during acute endoplasmic reticulum stress. Initiation profiling reveals mechanistically distinct modes of DDX3X action linked to its binding patterns across the 5' UTR and coding sequence. We further uncover that mRNAs selectively regulated by DDX3X exhibit specific patterns of cytidine N4-acetylation near start codons, with shared de-repression observed upon NAT10 knockdown. Together, our findings reveal DDX3X as a context-sensitive regulator that has a possible functional connection with epitranscriptomic features in translation control.

DEAD-box RNA Helicases

Trichoderma specialized metabolites in biocontrol: gene-metabolite links, ecological functions, and translational bottlenecks.

Trichoderma spp. produce a diverse repertoire of metabolites with specific activities that contribute to biocontrol through direct antagonism, ecological signalling, and modulation of plant responses. However, current knowledge remains uneven: many metabolites are chemically described, whereas fewer are supported by robust gene-metabolite associations, experimentally validated ecological functions, and realistic translational evidence. Progress in this field will depend less on expanding compound catalogues than on integrating mechanistic, ecological, and translational evidence. This review examines the specialized metabolism of Trichoderma with emphasis on biosynthetic gene clusters, regulatory networks, ecological roles, and biosafety constraints relevant to biocontrol. Major metabolite classes, including polyketides, terpenoids, peptaibols, siderophores, diketopiperazines, and volatile organic compounds, are discussed together with representative case studies for which genetic and functional evidence is available. We further propose a translational framework to distinguish metabolites with mainly descriptive support from those approaching application readiness, based on four criteria: gene-level validation, demonstrated ecological role, manageable biosafety profile, and feasible delivery/stability. This perspective helps explain why metabolite inventories continue to expand faster than field translation. Recent advances in genomics, transcriptomics, metabolomics, genome editing, and formulation science are reshaping how Trichoderma metabolites are prioritized for future development.

Biosafety

Ageing-associated long non-coding RNA extends lifespan and reduces translation in non-dividing cells.

Genomes produce widespread long non-coding RNAs (lncRNAs) of largely unknown functions. We characterize aal1 (ageing-associated lncRNA), which is induced in quiescent fission yeast cells. Deletion of aal1 shortens the chronological lifespan of non-dividing cells, while ectopic overexpression prolongs their lifespan, indicating that aal1 acts in trans. Overexpression of aal1 represses ribosomal-protein gene expression and inhibits cell growth, and aal1 genetically interacts with coding genes functioning in protein translation. The aal1 lncRNA localizes to the cytoplasm and associates with ribosomes. Notably, aal1 overexpression decreases the cellular ribosome content and inhibits protein translation. The aal1 lncRNA binds to the rpl1901 mRNA, encoding a ribosomal protein. The rpl1901 levels are reduced ~2-fold by aal1, which is sufficient to extend lifespan. Remarkably, the expression of the aal1 lncRNA in Drosophila boosts fly lifespan. We propose that aal1 reduces the ribosome content by decreasing Rpl1901 levels, thus attenuating the translational capacity and promoting longevity. Although aal1 is not conserved, its effect in flies suggests that animals feature related mechanisms that modulate ageing, based on the conserved translational machinery.

RNA, Long Noncoding

Activation of mTOR pathway by human cytomegalovirus promoting host ribosomal protein expression by coordinated transcriptional and translational controls.

Human cytomegalovirus (HCMV) profoundly reprograms host transcription and RNA metabolism, yet its impact on transcription start site (TSS) regulation of host genes remains poorly understood. Here, we employed NanoCap Analysis of Gene Expression sequencing (NanoCAGE-seq) to investigate HCMV-driven changes in alternative TSS usage across the host transcriptome. We identified widespread TSS switching, with ribosomal protein genes (RPGs) emerging as a highly enriched category. Alternative TSS usage produced isoforms with distinct 5'untranslated regions (UTRs), thereby altering cis-regulatory elements that shape translational efficiency. Integrative transcriptomic and proteomic analyses revealed a paradoxical accumulation of RPG proteins despite transcriptional downregulation during infection. Using 5' Rapid Amplification of cDNA Ends (5'RACE), we characterized four RPGs of RPL4, RPS11, RPS23, and RPS24 that generated 5'UTR variants through alternative TSS usage. Notably, isoforms containing a 5'terminal oligopyrimidine (5'TOP) motif were significantly enriched, correlating with mTOR activation induced by HCMV. Functional assays with bicistronic reporter constructs in HEK293 cells and infection models in human embryonic lung fibroblasts demonstrated that the RPL4 5'TOP isoform exhibited enhanced mTORC1-driven translation compared with non-5'TOP counterparts. Importantly, RPL4 upregulation facilitated viral protein synthesis and boosted production of infectious virions. Together, our findings reveal that dynamic TSS switching of RPGs provides a simple, yet effective, mechanism for fine-tuning mTORC1-responsive translation. By co-opting host transcriptional and translational programs, HCMV enhances ribosome function to optimize the cellular environment for productive viral replication.

Humans

Updated ENIGMA recommendations for reporting germline variants in cancer susceptibility genes and their translation into twenty languages.

Genetic testing for cancer susceptibility underpins precision cancer prevention and care. Gaps in the healthcare providers' genetic literacy and an ambiguous lexicon for variant description may hinder proper delivery and clinical application of consistently trustworthy test results. The Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) international consortium supports controlled terminology and recommends a framework for reporting germline variants in cancer susceptibility genes, using breast cancer as an exemplar. Moving forward towards terminological coherence across disciplines and borders, the ENIGMA Clinical Working Group launched a multinational effort to release consortium-approved translations of the published recommendations. The herein reported Vocabulary Translation Project offered an opportunity to reappraise and align the reference text to the recent BRCA1 and BRCA2 specifications to the American College of Medical Genetics and Genomics/Association for Molecular Pathology rules by the ENIGMA Variant Curation Expert Panel and to highlight country-specific differences in breast cancer risk assessment and management. The updated recommendations and their 20 translations are now provided as easy to handle documents, covering 11 of the most widely spoken languages in the world. They will contribute to minimised erroneous inferences, more informed decision-making, improved health outcomes and equity in the use of genetic testing for cancer predisposition and in translational oncology.

Humans

Translational regulation of Sf1 integrates alternative splicing and hematopoietic stem cell fate.

The transition of hematopoietic stem cells (HSCs) from quiescence to lineage commitment requires precise posttranscriptional control, yet the contribution of mRNA isoform regulation remains poorly defined. Here, we identify a translationally controlled splicing program that contributes to HSC fate decisions. Using activity-based signatures of 305 splicing regulators, we uncover widespread posttranscriptional modulation of the spliceosome in stem and progenitor cells. The branch point recognition factor Sf1 emerges as a key node, regulated by a conserved structured 5' untranslated region (UTR) that cooperates with the RNA-binding protein Igf2bp2 to control its translation. Disrupting this cis-trans module reduces Sf1 protein synthesis and skews differentiation toward stem and erythroid programs. Mechanistically, Sf1-dependent alternative splicing remodels 5' UTRs of hematopoietic and DNA damage response genes, altering their translation and modulating DNA damage resolution. Together, these findings reveal an unrecognized translational layer controlling spliceosome activity and link RNA regulons, alternative splicing, and HSC fate determination.

Alternative Splicing

prot4EST: translating expressed sequence tags from neglected genomes.

BACKGROUND: The genomes of an increasing number of species are being investigated through generation of expressed sequence tags (ESTs). However, ESTs are prone to sequencing errors and typically define incomplete transcripts, making downstream annotation difficult. Annotation would be greatly improved with robust polypeptide translations. Many current solutions for EST translation require a large number of full-length gene sequences for training purposes, a resource that is not available for the majority of EST projects. RESULTS: As part of our ongoing EST programs investigating these "neglected" genomes, we have developed a polypeptide prediction pipeline, prot4EST. It incorporates freely available software to produce final translations that are more accurate than those derived from any single method. We show that this integrated approach goes a long way to overcoming the deficit in training data. CONCLUSIONS: prot4EST provides a portable EST translation solution and can be usefully applied to >95% of EST projects to improve downstream annotation. It is freely available from http://www.nematodes.org/PartiGene.

Animals

A genome-wide, CRISPR-based screen reveals new requirements for translation initiation and ubiquitination in driving adipogenic fate change.

In response to excess nutrients, white adipose tissue expands by both generating new adipocytes and upregulating lipogenesis in existing adipocytes. Here, we performed a genome-wide functional CRISPR screen to identify regulators of adipogenesis in the mouse 3T3-L1 preadipocyte model. In this pooled screening strategy, we used FACS to isolate populations based on lipid content, gating for fluorescence intensity of lipophilic fluorescent BODIPY dye. Additionally, we categorized whether the gene functions primarily during mitotic clonal expansion, lipogenesis, or both. We found that translation initiation and ubiquitin-dependent protein stability regulators drive both adipogenic fate change and lipogenesis. We further supported these findings with proteomics, demonstrating that essential changes in protein reprogramming can drive or inhibit 3T3-L1 adipogenesis independent of transcription. Furthermore, we demonstrated that specific branches of the hypusination pathway, a conserved regulator of translation initiation, are critical for translating adipogenic inducers of mitotic clonal expansion and that the neddylation/ubiquitin pathway modulates insulin sensitivity during lipogenesis.

Animals

Fluorescence-Based mRNA Translation Reporter.

Herein, we describe a fluorescence reporter assay for investigating regulatory elements in the 5'-UTR of mRNA that modulate translational initiation. The canonical translation initiation process generally begins with the assembly of the eIF4F complex at the cap structure, the formation of the ternary complex, which is loaded with the initiator tRNA, and finally, the preinitiation complex. The preinitiation complex then scans the 5'-UTR to identify the authentic translation start site, which is typically characterized by an AUG codon within a sequence context known as the Kozak sequence. It is well established that the 5'-UTR varies extensively in length and contains regulatory, structural, and sequence elements. To investigate these elements, we use a green fluorescence protein (GFP)- and a luciferase-based mRNA reporter. These reporters can be quickly generated by ordering gBlocks or by PCR-based template generation for in vitro transcription, capping and polyadenylation, to produce synthetic mRNAs. These mRNAs can be transfected into cells, and expression can be monitored via GFP fluorescence or by measuring luciferase activity. In this chapter, we provide a step-by-step protocol for designing gBlocks, generating the reporter mRNA, transfecting the cells, and analyzing the results.

Genes, Reporter

CRISPR-Cas and Infectious Diseases: A Decade of Translational Advances in Molecular Biotechnology.

CRISPR-Cas systems have emerged as a versatile tool for diagnosing, treating, and preventing infectious diseases. This review highlights translational advancements in CRISPR-Cas-based applications, concentrating on the past decades in diagnostics, therapeutic genome editing, and vaccine development. The article highlights key platforms like DETECTR and SHERLOCK, which enable rapid, sensitive pathogen detection, and explores CRISPR-Cas9 systems in therapeutic strategies for directly targeting viral genomes and combating antimicrobial resistance. It also examines the role of CRISPR-Cas9 in engineering live-attenuated and personalized neoantigen vaccines. Principal findings demonstrate a clear progression from experimental proof-of-concept to preclinical applications primarily in CRISPR-based diagnostics and the engineering of live-attenuated vaccine candidates, whereas translation in CRISPR-based therapeutics and personalized neoantigen vaccines for infectious diseases remains at earlier, more exploratory stages. CRISPR-based diagnostics have progressed further toward clinical evaluation than therapeutics due to delivery and safety constraints, while personalized neoantigen vaccines are included mainly as an emerging, comparative concept for infectious diseases rather than a mature application. This review uniquely integrates CRISPR-based diagnostics, therapeutics, and vaccine development within a single infectious disease framework, critically assesses their current maturity, and systematically highlights technical, regulatory, and ethical barriers alongside realistic future priorities. The review concludes that while CRISPR-Cas holds transformative potential for infectious disease management, significant challenges in delivery efficiency, off-target effects, and ethical regulation must be addressed to ensure safe and equitable clinical translation.

Humans

PTBP1 at the host-virus interface: mechanistic roles in viral RNA translation, replication, and immune modulation.

Viruses require the involvement of host RNA binding proteins for completion of important steps of their life cycle. Polypyrimidine tract binding protein 1 (PTBP1) is an RNA-binding protein found ubiquitously which performs important regulatory functions like alternative splicing, RNA stability, RNA localization, and translation by virtue of its four RRMs and shuttling between nucleus and cytoplasm. There is increasing evidence showing that many viruses make use of such regulatory roles of PTBP1 to facilitate their gene expression and replication. This review describes the existing mechanistic knowledge about the PTBP1 functions during viral infection, paying attention to the role of PTBP1 in viral RNA translation, viral RNA genome replication, and regulation of host antiviral response. Special attention is paid to the regulation by PTBP1 of IRES-dependent translation of enteroviruses and hepatitis C virus, as well as to the PTBP1 contribution to RNA stabilization, long-distance RNA interactions, and genome cyclization of flaviviruses such as dengue virus and Japanese encephalitis virus. Recent data on the PTBP1 function in coronavirus RNA metabolism are discussed as well. Furthermore, the role of PTBP1 in being both proviral and antiviral is reviewed in terms of innate immunity signalling pathways, stress granule biology, and virus-host interaction. Finally, we will explore the possibility of PTBP1 being used as a host-directed antiviral drug target despite the hurdles in doing so considering its multifunctionality as an essential cellular RNA-binding protein.

Polypyrimidine Tract-Binding Protein

Overcoming Immunological Barriers in MSC-Derived Insulin-Producing Cells through CRISPR-Based Hypoimmunogenic Engineering and Translational Perspectives for Type 1 Diabetes.

Mesenchymal stromal cell (MSC)-derived insulin-producing cells (IPCs) represent an emerging strategy for β-cell replacement in type 1 diabetes mellitus (T1DM) owing to their differentiation potential, intrinsic immunomodulatory properties, and lower tumorigenic risk compared with pluripotent stem cell-derived platforms. However, accumulating evidence indicates that differentiation-associated immunogenicity, context-dependent immune recognition, and recurrent autoimmune responses may substantially limit long-term graft survival and therapeutic durability following transplantation. This review critically examines the immunological barriers associated with MSC-derived IPCs, including altered MHC expression, susceptibility to alloimmune and autoimmune-mediated rejection, and potential reactivation of autoreactive immune memory. We discuss the application of CRISPR-based hypoimmunogenic engineering strategies targeting antigen presentation pathways, NK-cell activation, and immune checkpoint modulation to generate more immune-evasive MSC-derived IPCs while preserving β-cell functionality. By integrating insights from T1DM immunopathogenesis, MSC biology, genome editing, and translational immunology, we propose a framework linking immune engineering with controlled differentiation, functional maturation, and long-term safety evaluation. In parallel, we comparatively position MSC-derived IPCs alongside clinically advancing iPSC-derived β-cell platforms to highlight their distinct translational niche, including potential advantages related to safety, immunomodulatory capacity, manufacturing accessibility, and scalability, while acknowledging the superior functional maturity and clinical progression currently demonstrated by iPSC-derived systems. Finally, we discuss key translational challenges, including genomic stability, immune-evasion durability, GMP-compliant manufacturing, and the need for rigorous functional and immunological benchmarking prior to clinical application of hypoimmunogenic MSC-derived IPC therapies in T1DM.

Humans

Genome-wide detection of human 5' UTR variants that impact protein translation.

The 5' untranslated region (5' UTR) of messenger RNAs (mRNAs) plays a central role in regulating protein synthesis initiation, particularly through the Kozak sequence and upstream open reading frames (uORFs). Genetic variants within these regulatory elements could affect translation, altering gene expression and contributing to clinical phenotypes in humans. We developed a computational method called 5ULTRA (5' Untranslated Region Annotation) for analysis of whole-exome sequencing and whole-genome sequencing data to detect, annotate, and prioritize 5' UTR variants with potential translation impact. 5ULTRA identifies single-nucleotide variants, indels, and splicing variants that affect uORFs by creating or disrupting start/stop codons and that alter Kozak sequence strength of either the uORFs or the main coding sequence. 5ULTRA incorporates recent uORF databases and provides comprehensive annotations. 5ULTRA implements a machine-learning score to prioritize candidate variants with predicted effects on translation and also provides specific mechanistic predictions. The score correlates strongly with experimentally measured protein-level effects of 5' UTR variants. We applied 5ULTRA to multiple genetics datasets across diverse disease contexts, identifying candidate variants including potential cancer-driving somatic mutations predicted to decrease ABI1 level or increase NRAS abundance; common variants associated with traits such as multiple sclerosis, lung function, and cardiovascular function, by altering protein levels of TAGAP, VRTN, and SPAAR, respectively; and rare germline variants in our cohort, including a splicing variant of RPSA leading to 5' UTR sequence alteration that causes congenital asplenia and a variant of TNF that could predispose to tuberculosis.

Humans

Dietary arginine drives codon-dependent MHC class I translation and improves immunity in colon tumorigenesis and respiratory viral infection.

Amino acid levels fluctuate across diverse pathological conditions. Whether such amino acid modulations directly shape pathophysiology by regulating host gene expression remains unknown. We found that extracellular arginine restriction, observed in cancer and infection, represses specific arginine tRNAs-directly suppressing translation of major histocompatibility complex I (MHC class I) and antigen presentation. Arginine regulation of MHC class I was codon-usage dependent, as synonymous codon mutations prevented MHC class I modulation. Dietary arginine restriction impaired anti-viral immunity against influenza and SARS-CoV-2 and increased colon tumorigenesis. Conversely, increasing arginine availability via dietary supplementation or myeloid-specific arginase 1 deletion enhanced MHC class I protein levels, suppressed colon tumorigenesis, and improved viral infection outcomes. These disease-modulating effects were abolished in β2-microglobulin (B2m)-deficient mice. Thus, dietary modulation of a single amino acid critically influences codon-biased translation and MHC class I-mediated immunity to respiratory viral infections and cancer, revealing an unexpected mechanism and disease hazard for arginine deficiency and highlighting potential for amino acid-based translation modulation therapy.

Animals