Antibody production relies on the tRNA inosine wobble modification to meet biased codon demand

The Evolution and Implications of the Inosine tRNA Modification

Ever since the legendary publication by Francis Crick in JMB introducing the wobble hypothesis in 1966, inosine has been a permanent part of molecular biology. This review aims to integrate the rich array of novel insights emerging from subsequent research on the adenine-to-inosine modification of tRNA, with an emphasis on the results obtained during the last 5 years. Both the grand panorama of 4 billion years of evolution of life and the medical implications of defects in inosine modification will be reviewed. The most salient insights are that: (1) inosine at position 34 (the first position in the anticodon) is not universally present in the tree of life; (2) in many bacteria just a single homodimeric enzyme (TadA) is responsible for both tRNA inosine modification and mRNA inosine modification; (3) rapid progress is currently being made both in the molecular understanding of the heterodimeric ADAT2/ADAT3 enzyme responsible for inosine modifications in eukaryotes and in experimental capabilities for monitoring both the cytoplasmic tRNA pool and their modifications; (4) for selected tRNAs, inosine modification at position 37 has been demonstrated but this modification remains under-studied; (5) modification of tRNAs known to contain inosine can be incomplete; (6) the GC content of the T-stem is of great importance for wobble behavior, including wobbling behavior of inosine; and (7) the tRNA inosine modification is of direct relevance to human disease. In summary, research on inosine continues to yield important novel insights.

Metabolism Meets Translation: Dietary and Metabolic Influences on tRNA Modifications and Codon Biased Translation

Transfer RNA (tRNA) is not merely a passive carrier of amino acids, but an active regulator of mRNA translation controlling codon bias and optimality. The synthesis of various tRNA modifications is regulated by many "writer" enzymes, which utilize substrates from metabolic pathways or dietary sources. Metabolic and bioenergetic pathways, such as one-carbon (1C) metabolism and the tricarboxylic acid (TCA) cycle produce essential substrates for tRNA modifications synthesis, such as S-Adenosyl methionine (SAM), sulfur species, and α-ketoglutarate (α-KG). The activity of these metabolic pathways can directly impact codon decoding and translation via regulating tRNA modifications levels. In this review, we discuss the complex interactions between diet, metabolism, tRNA modifications, and mRNA translation. We discuss how nutrient availability, bioenergetics, and intermediates of metabolic pathways, modulate the tRNA modification landscape to fine-tune protein synthesis. Moreover, we highlight how dysregulation of these metabolic-tRNA interactions contributes to disease pathogenesis, including cancer, metabolic disorders, and neurodegenerative diseases. We also discuss the new emerging field of GlycoRNA biology drawing parallels from glycobiology and metabolic diseases to guide future directions in this area. Throughout our discussion, we highlight the links between specific modifications, their metabolic/dietary precursors, and various diseases, emphasizing the importance of a metabolism-centric tRNA view in understanding many pathologies. Future research should focus on uncovering the interplay between metabolism and tRNA in specific cellular and disease contexts. Addressing these gaps will guide new research into novel disease interventions.

Genes and Pathways Comprising the Human and Mouse ORFeomes Display Distinct Codon Bias Signatures that Can Regulate Protein Levels

Arginine, glutamic acid and selenocysteine based codon bias has been shown to regulate the translation of specific mRNAs for proteins that participate in stress responses, cell cycle and transcriptional regulation. Defining codon-bias in gene networks has the potential to identify other pathways under translational control. Here we have used computational methods to analyze the ORFeome of all unique human (19,711) and mouse (22,138) open-reading frames (ORFs) to characterize codon-usage and codon-bias in genes and biological processes. We show that ORFeome-wide clustering of gene-specific codon frequency data can be used to identify ontology-enriched biological processes and gene networks, with developmental and immunological programs well represented for both humans and mice. We developed codon over-use ontology mapping and hierarchical clustering to identify multi-codon bias signatures in human and mouse genes linked to signaling, development, mitochondria and metabolism, among others. The most distinct multi-codon bias signatures were identified in human genes linked to skin development and RNA metabolism, and in mouse genes linked to olfactory transduction and ribosome, highlighting species-specific pathways potentially regulated by translation. Extreme codon bias was identified in genes that included transcription factors and histone variants. We show that re-engineering extreme usage of C- or U-ending codons for aspartic acid, asparagine, histidine and tyrosine in the transcription factors CEBPB and MIER1, respectively, significantly regulates protein levels. Our study highlights that multi-codon bias signatures can be linked to specific biological pathways and that extreme codon bias with regulatory potential exists in transcription factors for immune response and development.

Queuosine tRNA Modification: Connecting the Microbiome to the Translatome

Transfer RNA (tRNA) modifications play an important role in regulating mRNA translation at the codon level. tRNA modifications can influence codon selection and optimality, thus shifting translation toward specific sets of mRNAs in a dynamic manner. Queuosine (Q) is a tRNA modification occurring at the wobble position. In eukaryotes, queuosine is synthesized by the tRNA-guanine trans-glycosylase (TGT) complex, which incorporates the nucleobase queuine (or Qbase) into guanine of the GUN anticodons. Queuine is sourced from gut bacteria and dietary intake. Q was recently shown to be critical for cellular responses to oxidative and mitochondrial stresses, as well as its potential role in neurodegenerative diseases and brain health. These unique features of Q provide an interesting insight into the regulation of mRNA translation by gut bacteria, and the potential health implications. In this review, Q biology is examined in the light of recent literature and nearly 4 decades of research. Q's role in neuropsychiatric diseases and cancer is highlighted and discussed. Given the recent interest in Q, and the new findings, more research is needed to fully comprehend its biological function and disease relevance, especially in neurobiology.

Mutability and hypermutation antagonize immunoglobulin codon optimality

The efficacy of antibody responses is inherently linked to paratope diversity, as generated through V(D)J recombination and somatic hypermutation. Despite this, it is unclear how genetic diversification mechanisms evolved alongside codon optimality and affect antibody expression. Here, we analyze germline immunoglobulin (IG) genes, natural V(D)J repertoires, serum IgG, and monoclonal antibody (mAb) expression through the lens of codon optimality. Germline variable genes (IGVs) exhibit diverse optimality that is inversely related to mutability. Hypermutation deoptimizes heavy-chain (IGH) VDJ repertoires within human tonsils, bone marrow, lymph nodes (including SARS-CoV-2-specific clones), blood (HIV-1-specific clones), mice, and zebrafish. Analyses of mutation-affected codons show that targeting to complementarity-determining regions constrains deoptimization. Germline IGHV optimality correlates with serum variable fragment (VH) usage after influenza vaccination, while synonymous deoptimization attenuated mAb yield. These findings provide unanticipated insights into an antagonistic relationship between diversification mechanisms and codon optimality. Ultimately, the need for diversity takes precedence over that for the most optimal codon usage.

Decoding Codon Bias: The Role of tRNA Modifications in Tissue-Specific Translation

The tRNA epitranscriptome has been recognized as an important player in mRNA translation regulation. Our knowledge of the role of the tRNA epitranscriptome in fine-tuning translation via codon decoding at tissue or cell levels remains incomplete. We analyzed tRNA expression and modifications as well as codon optimality across seven mouse tissues. Our analysis revealed distinct enrichment patterns of tRNA modifications in different tissues. Queuosine (Q) tRNA modification was most enriched in the brain compared to other tissues, while mitochondrial tRNA modifications and tRNA expression were highest in the heart. Using this observation, we synthesized, and delivered in vivo, codon-mutated EGFP for Q-codons, where the C-ending Q-codons were replaced with U-ending codons. The protein levels of mutant EGFP were downregulated in liver, which is poor in Q, while in brain EGFP, levels did not change. These data show that understanding tRNA modification enrichments across tissues is not only essential for understanding codon decoding and bias but can also be utilized for optimizing gene and mRNA therapeutics to be more tissue-, cell-, or condition-specific.

Structure and sequence engineering approaches to improve in vivo expression of nucleic acid-delivered antibodies

Monoclonal antibodies are an important class of biologics with over 160 Food and Drug Administration/European Union-approved drugs. A significant bottleneck to global accessibility of recombinant monoclonal antibodies stems from complexities related to their production, storage, and distribution. Recently, gene-encoded approaches such as mRNA, DNA, or viral delivery have gained popularity, but ensuring biologically relevant levels of antibody expression in the host remains a critical issue. Using a synthetic DNA platform, we investigated the role of antibody structure and sequence toward in vivo expression. SARS-CoV-2 antibody 2196 was recently engineered as a DNA-encoded monoclonal antibody (DMAb-2196). Utilizing an immunoglobulin heavy and light chain "chain-swap" methodology, we interrogated features of DMAb-2196 that can modulate in vivo expression through rational design and structural modeling. Comparing these results to natural variation of antibody sequences resulted in development of an antibody frequency score that aids in the prediction of expression-improving mutations by leveraging antibody repertoire datasets. We demonstrate that a single amino acid mutation identified through this score increases in vivo expression up to 2-fold and that combinations of mutations can also enhance expression. This analysis has led to a generalized pipeline that can unlock the potential for in vivo delivery of therapeutic antibodies across many indications.

Dynamics of diversified A-to-I editing in Streptococcus pyogenes is governed by changes in mRNA stability

Adenosine-to-inosine (A-to-I) RNA editing plays an important role in the post-transcriptional regulation of eukaryotic cell physiology. However, our understanding of the occurrence, function and regulation of A-to-I editing in bacteria remains limited. Bacterial mRNA editing is catalysed by the deaminase TadA, which was originally described to modify a single tRNA in Escherichia coli. Intriguingly, several bacterial species appear to perform A-to-I editing on more than one tRNA. Here, we provide evidence that in the human pathogen Streptococcus pyogenes, tRNA editing has expanded to an additional tRNA substrate. Using RNA sequencing, we identified more than 27 editing sites in the transcriptome of S. pyogenes SF370 and demonstrate that the adaptation of S. pyogenes TadA to a second tRNA substrate has also diversified the sequence context and recoding scope of mRNA editing. Based on the observation that editing is dynamically regulated in response to several infection-relevant stimuli, such as oxidative stress, we further investigated the underlying determinants of editing dynamics and identified mRNA stability as a key modulator of A-to-I editing. Overall, our findings reveal the presence and diversification of A-to-I editing in S. pyogenes and provide novel insights into the plasticity of the editome and its regulation in bacteria.

New insights into the mechanisms regulating plasma cell survival and longevity

Plasma cells correspond to the last stage of B cell differentiation and are professional antibody-secreting cells. While most persist for only few days, some may survive for weeks to years in dedicated survival niches. The determination of plasma cell survival rate seems to rely both on intrinsic and extrinsic factors. Although often opposed, the deterministic and environmental models for plasma cell longevity are certainly overlapping. Understanding the contribution and the regulation of these different factors is paramount to develop better vaccines but also to target malignant plasma cells. Here, we review recent literature highlighting new findings pertaining to plasma cell survival rate, intrinsic regulation of plasma cell persistence and function, as well as the plasma cell/niche dialogue. Moreover, the now well-recognised heterogeneity observed among plasma cells is also discussed.

Affinity gaps among B cells in germinal centers drive the selection of MPER precursors

Current prophylactic human immunodeficiency virus 1 (HIV-1) vaccine research aims to elicit broadly neutralizing antibodies (bnAbs). Membrane-proximal external region (MPER)-targeting bnAbs, such as 10E8, provide exceptionally broad neutralization, but some are autoreactive. Here, we generated humanized B cell antigen receptor knock-in mouse models to test whether a series of germline-targeting immunogens could drive MPER-specific precursors toward bnAbs. We found that recruitment of 10E8 precursors to germinal centers (GCs) required a minimum affinity for germline-targeting immunogens, but the GC residency of MPER precursors was brief due to displacement by higher-affinity endogenous B cell competitors. Higher-affinity germline-targeting immunogens extended the GC residency of MPER precursors, but robust long-term GC residency and maturation were only observed for MPER-HuGL18, an MPER precursor clonotype able to close the affinity gap with endogenous B cell competitors in the GC. Thus, germline-targeting immunogens could induce MPER-targeting antibodies, and B cell residency in the GC may be regulated by a precursor-competitor affinity gap.

Charting new territory: The Plasmodium falciparum tRNA modification landscape

Ribonucleoside modifications comprising the epitranscriptome are present in all organisms and all forms of RNA, including mRNA, rRNA and tRNA, the three major RNA components of the translational machinery. Of these, tRNA is the most heavily modified and the tRNA epitranscriptome has the greatest diversity of modifications. In addition to their roles in tRNA biogenesis, quality control, structure, cleavage, and codon recognition, tRNA modifications have been shown to regulate gene expression post-transcriptionally in prokaryotes and eukaryotes, including humans. However, studies investigating the impact of tRNA modifications on gene expression in the malaria parasite Plasmodium falciparum are currently scarce. Current evidence shows that the parasite has a limited capacity for transcriptional control, which points to a heavier reliance on strategies for posttranscriptional regulation, such as tRNA epitranscriptome reprogramming. This review addresses the known functions of tRNA modifications in the biology of P. falciparum while highlighting the potential therapeutic opportunities and the value of using P. falciparum as a model organism for addressing several open questions related to the tRNA epitranscriptome.

Decoding the language of immunity

Optimized transfer RNA (tRNA) codon use can speed up antibody generation.