Single-site Mutations Research Articles

HIV-1 single transcription start site mutants display complementary replication functions that are restored by reversion.

HIV-1 transcription initiates at two positions, generating RNAs with either cap1G or cap3G 5' ends. The replication fates of these RNAs di\er, with viral particles encapsidating almost exclusively cap1G RNAs and cap3G RNAs retained in cells where they are enriched on polysomes and among spliced viral RNAs. Here, we studied replication properties of virus promoter mutants that produced only one RNA 5' isoform or the other: separately, in combination, and during spreading infection. Results showed that either single start RNA could serve as both mRNA and genomic RNA when present as the only form in cells, although cap3G RNA was more efficiently translated and spliced while cap1G RNA was packaged into nascent virions slightly better than RNAs from the parental virus. When co-expressed from separate vectors, cap1G RNA was preferentially packaged into virions. During spreading infection cap1G-only virus displayed only minor defects but cap3G-only virus showed severe replication delays in both the highly permissive MT-4 cell line and in primary human CD4+ T cells. Passage of cap3G-only virus yielded revertants that replicated as well as the twinned (cap1G+ cap3G) transcription start site parent. These revertants displayed restored packaging and splicing levels and had regained multiple transcription start site use.

A general temperature-guided language model to design proteins of enhanced stability and activity.

Designing protein mutants with both high stability and activity is a critical yet challenging task in protein engineering. Here, we introduce PRIME, a deep learning model, which can suggest protein mutants with improved stability and activity without any prior experimental mutagenesis data for the specified protein. Leveraging temperature-aware language modeling, PRIME demonstrated superior predictive ability compared to current state-of-the-art models on the public mutagenesis dataset across 283 protein assays. Furthermore, we validated PRIME's predictions on five proteins, examining the impact of the top 30 to 45 single-site mutations on various protein properties, including thermal stability, antigen-antibody binding affinity, and the ability to polymerize nonnatural nucleic acid or resilience to extreme alkaline conditions. More than 30% of PRIME-recommended mutants exhibited superior performance compared to their premutation counterparts across all proteins and desired properties. We developed an efficient and effective method based on PRIME to rapidly obtain multisite mutants with enhanced activity and stability. Hence, PRIME demonstrates broad applicability in protein engineering.

Evaluation of genotype characteristics and drug resistance mutations in patients with chronic hepatitis B

Hepatitis B is one of the public health priorities worldwide, especially in the Southwest China. Our study aimed to investigate the relationship between genotypes and drug resistance mutations among HBV patients in Southwest China, with the objective of providing guidance for clinical antiviral treatment. A total of 4266 chronic hepatitis B (CHB) patients treated in the Qianjiang Hospital of Chongqing University were included in our study from 2014 to 2020. Both genotypes and drug-resistant mutations of CHB patients were determined by polymerase chain reaction (PCR). Genotype B and genotype C were the main HBV genotypes in our study. We found 54 mutation patterns, including 9 single-site mutations and 45 multiple-site mutations, accounting for 57.64% and 42.36%, respectively. rtM204I/V/S (485/1936) was the most common single-site mutation type, and rtL180M + rtM204I/V (482/1936) was the most common multiple-site mutation type. 1372 CHB patients were resistant to LAM + LDT, and 342 CHB patients were resistant to ADV. There was only 1 CHB patient who exhibited resistance to LAM + LDT + ADV + ETV, with a specific mutation pattern of rtA181T + rtT184L + rtM204V. Our study demonstrated trends in genetic mutations and drug resistance in CHB patients to enable timely adjustment of antiviral treatment strategies.

Rational design of the substrate binding pocket in epoxide hydrolase for enhanced enantioselectivity towards chiral ortho-methylstyrene oxide

Epoxide hydrolases are crucial enzymes for the stereospecific hydrolysis of racemic epoxides, serving as biocatalysts for synthesizing optically pure epoxides. The (S)-ortho-methylstyrene oxide (oMSO) is a valuable chiral building block in asymmetric organic transformations. Our lab previously elucidated the crystal structure of AuEH2, an epoxide hydrolase from Aspergillus usamii. Here, we conducted saturation mutagenesis on hotspots in the AuEH2 substrate binding pocket (SBP), creating a library of 181 single-site mutations. Screening with rac-oMSO revealed a mutational landscape of enzymatic activity and E value. Using an innovative sequence-activity relationship (innov'SAR) machine learning approach, a double mutant AuEH2A214V/S247Q was identified with obviously improvements enantiomeric ratio (E value= 28.3) for (R)-oMSO that was increased 7.9-fold over wild type. Using E. coli/Aueh2A214V/S247Q at 10 mg/mL, we dynamically resolved 20 mmol/L rac-oMSO at 25 °C, yielding (S)-oMSO with 96.7 % ees and 1,2-diol (R)-oMPED with 81.0 % eep. Molecular dynamics (MD) simulations indicated that changes in SBP residue interactions and non-covalent interactions with (R)-oMSO contributed to the increased activity and enantioselectivity of AuEH2A214V/S247Q.

Discovering new mode-of-action pesticide leads inhibiting protein-protein interactions: example targeting plant O-acetylserine sulfhydrylase.

The widespread evolution of pesticide resistance poses a significant challenge to current agriculture, necessitating the discovery of molecules with new modes of action. Despite extensive efforts, no major molecules with new modes of action have been commercialized for decades. Most pesticides function by binding to specific pockets on target enzymes, enabling a single target site mutation to confer resistance. An alternative approach is the disruption of protein-protein interactions (PPI), which require complementary mutations on both interacting partners for resistance to occur. Thus, our aim is the discovery and design of small-molecule inhibitors that target the interface of the PPI complex of O-acetylserine sulfhydrylase (OASS) and serine acetyltransferase (SAT), key obligatory interacting plant enzymes involved in the biosynthesis of the amino acid cysteine. By employing in silico filtering techniques on a virtual library of 30 million small molecules, we identified initial hits capable of binding OASS and interfering with its interaction with a peptide derived from SAT with a half-maximal inhibitory concentration (IC50) of 34 μm. Subsequently, we conducted molecular chemical optimizations, generating an early lead molecule (PJ4) with an IC50 value of 4 μm. PJ4 successfully inhibited the germination of Arabidopsis thaliana seedlings and inhibited clover growth in a pre-emergence application at an effective concentration of 4.6 kg ha-1. These new compounds described herein can serve as promising leads for further optimization as herbicides with a new mode-of-action. This technology can be used for discovering new modes of action chemicals inhibiting all pest groups. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Imperfect symmetry facilitated the evolution of specificity and high-order stoichiometry in vertebrate hemoglobin.

Many proteins form paralogous multimers - molecular complexes in which evolutionarily related proteins are arranged into specific quaternary structures. Little is known about the mechanisms by which they acquired their stoichiometry (the number of total subunits in the complex) and heterospecificity (the preference of subunits for their paralogs rather than other copies of the same protein). Here we use ancestral protein reconstruction and biochemical experiments to study historical increases in stoichiometry and specificity during the evolution of vertebrate hemoglobin (Hb), a α2β2 heterotetramer that evolved from a homodimeric ancestor after a gene duplication. We show that the mechanisms for this evolutionary transition was simple. One hydrophobic substitution in subunit β after the gene duplication was sufficient to cause the ancestral dimer to homotetramerize with high affinity across a new interface. During this same interval, a single-residue deletion in subunit α at the older interface conferred specificity for the heterotetrameric form and the trans-orientation of subunits within it. These sudden transitions in stoichiometry and specificity were possible because the interfaces in Hb are isologous - involving the same surface patch on interacting subunits, rotated 180° relative to each other - but the symmetry is slightly imperfect. This architecture amplifies the impacts of individual mutations on stoichiometry and specificity, especially in higher-order complexes, and allows single substitutions to differentially affect heteromeric vs homomeric interactions. Many multimers are isologous, and symmetry in proteins is always imperfect; our findings therefore suggest that elaborate and specific molecular complexes may often evolve via simple genetic and physical mechanisms.

Novel mutations in acetolactate synthase confer high levels of resistance to tribenuron-methyl in Fagopyrum tataricum

Tartary buckwheat (Fagopyrum tataricum) field weeds are rich in species, with many weeds causing reduced quality, yield, and crop failure. The selection of herbicide-resistant Tartary buckwheat varieties, while applying low-toxicity and efficient herbicides as a complementary weed control system, is one way to improve Tartary buckwheat yield and quality. Therefore, the development of herbicide-resistant varieties is important for the breeding of Tartary buckwheat. In this experiment, 50 mM ethyl methyl sulfonate solution was used to treat Tartary buckwheat seeds (M1) and then planted in the field. Harvested seeds (M2) were planted in the experiment field of Guizhou University, and when seedlings had 5–7 leaves, the seedlings were sprayed with 166 mg/L tribenuron-methyl (TBM). A total of 15 resistant plants were obtained, of which three were highly resistant. Using the homologous cloning method, an acetolactate synthase (ALS) gene encoding 547 amino acids was identified in Tartary buckwheat. A GTG (valine) to GGA (glycine) mutation (V409G) occurred at position 409 of the ALS gene in the high tribenuron-methyl resistant mutant sm113. The dm36 mutant harbored a double mutation, a deletion mutation at position 405, and a GTG (valine) to GGA (glycine) mutation (V411G) at position 411. The dm110 mutant underwent a double mutation: an ATG (methionine) to AGG (arginine) mutation (M333R) at position 333 and an insertion mutation at position 372. The synthesis of Chl a, Chl b, total Chl, and Car was significantly inhibited by TBM treatment. TBM was more efficient at suppressing the growth of wild-type plants than that of mutant plants. Antioxidant enzyme activities such as ascorbate peroxidase, peroxidase, and superoxide dismutase were significantly higher in resistant plants than in wild-type after spraying with TBM; malondialdehyde content was significantly lower than in wild-type plants after spraying with TBM. Plants with a single-site mutation in the ALS gene could survive, but their growth was affected by herbicide application. In contrast, plants with dual-site mutations in the ALS gene were not affected, indicating that plants with dual-site mutations in the ALS gene showed higher levels of resistance than plants with a single-site mutation in the ALS gene.

Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning

Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in predicting protein fitness without wet-lab experimental data, but their accuracy and interpretability remain limited. On the other hand, traditional supervised deep learning models require abundant labeled training examples for performance improvements, posing a practical barrier. In this work, we introduce FSFP, a training strategy that can effectively optimize protein language models under extreme data scarcity for fitness prediction. By combining meta-transfer learning, learning to rank, and parameter-efficient fine-tuning, FSFP can significantly boost the performance of various protein language models using merely tens of labeled single-site mutants from the target protein. In silico benchmarks across 87 deep mutational scanning datasets demonstrate FSFP’s superiority over both unsupervised and supervised baselines. Furthermore, we successfully apply FSFP to engineer the Phi29 DNA polymerase through wet-lab experiments, achieving a 25% increase in the positive rate. These results underscore the potential of our approach in aiding AI-guided protein engineering.

Engineering of the Phytase YiAPPA to Improve Thermostability and Activity and Its Application Potential in Dephytinization of Food Ingredients.

The aim of this study was to modify phytase YiAPPA via protein surficial residue mutation to obtain phytase mutants with improved thermostability and activity, enhancing its application potential in the food industry. First, homology modeling of YiAPPA was performed. By adopting the strategy of protein surficial residue mutation, the lysine (Lys) and glycine (Gly) residues on the protein surface were selected for site-directed mutagenesis to construct single-site mutants. Thermostability screening was performed to obtain mutants (K189R and K216R) with significantly elevated thermostability. The combined mutant K189R/K216R was constructed via beneficial mutation site stacking and characterized. Compared with those of YiAPPA, the half-life of K189R/K216R at 80°C was extended from 14.81 min to 23.35 min, half-inactivation temperature (T50 30) was increased from 55.12°C to 62.44°C, and Tm value was increased from 48.36°C to 53.18°C. Meanwhile, the specific activity of K189R/K216R at 37°C and pH 4.5 increased from 3960.81 to 4469.13 U/mg. Molecular structure modeling analysis and molecular dynamics simulation showed that new hydrogen bonds were introduced into K189R/K216R, improving the stability of certain structural units of the phytase and its thermostability. The enhanced activity was primarily attributed to reduced enzyme-substrate binding energy and shorter nucleophilic attack distance between the catalytic residue His28 and the phytate substrate. Additionally, the K189R/K216R mutant increased the hydrolysis efficiency of phytate in food ingredients by 1.73-2.36 times. This study established an effective method for the molecular modification of phytase thermostability and activity, providing the food industry with an efficient phytase for hydrolyzing phytate in food ingredients.

Protein Engineering with Lightweight Graph Denoising Neural Networks.

Protein engineering faces challenges in finding optimal mutants from a massive pool of candidate mutants. In this study, we introduce a deep-learning-based data-efficient fitness prediction tool to steer protein engineering. Our methodology establishes a lightweight graph neural network scheme for protein structures, which efficiently analyzes the microenvironment of amino acids in wild-type proteins and reconstructs the distribution of the amino acid sequences that are more likely to pass natural selection. This distribution serves as a general guidance for scoring proteins toward arbitrary properties on any order of mutations. Our proposed solution undergoes extensive wet-lab experimental validation spanning diverse physicochemical properties of various proteins, including fluorescence intensity, antigen-antibody affinity, thermostability, and DNA cleavage activity. More than 40% of ProtLGN-designed single-site mutants outperform their wild-type counterparts across all studied proteins and targeted properties. More importantly, our model can bypass the negative epistatic effect to combine single mutation sites and form deep mutants with up to seven mutation sites in a single round, whose physicochemical properties are significantly improved. This observation provides compelling evidence of the structure-based model's potential to guide deep mutations in protein engineering. Overall, our approach emerges as a versatile tool for protein engineering, benefiting both the computational and bioengineering communities.

Design and Biological Evaluation of the Long-Acting C5-Inhibited Ornithodoros moubata Complement Inhibitor (OmCI) Modified with Fatty Acid.

Disorder of complement response is a significant pathogenic factor causing some autoimmune and inflammation diseases. The Ornithodoros moubata Complement Inhibitor (OmCI), a small 17 kDa natural protein, was initially extracted from soft tick salivary glands. The protein was found binding to complement C5 specifically, inhibiting the activation of the complement pathway, which is a successful therapeutic basis of complement-mediated diseases. However, a short half-life due to rapid renal clearance is a common limitation of small proteins for clinical application. In this study, we extended the half-life of OmCI by modifying it with fatty acid, which was a method used to improve the pharmacokinetics of native peptides and proteins. Five OmCI mutants were initially designed, and single-site cysteine mutation was introduced to each of them. After purification, four OmCI mutants were obtained that showed similar in vitro biological activities. Three mutants of them were subsequently coupled with different fatty acids by nucleophilic substitution. In total, 15 modified derivatives were screened and tested for anticomplement activity in vitro. The results showed that coupling with fatty acid would not significantly affect their complement-inhibitory activity (CH50 and AH50). OmCIT90C-CM02 and OmCIT90C-CM05 were validated as the applicable OmCI bioconjugates for further pharmacokinetic assessments, and both showed improved plasma half-life in mice compared with unmodified OmCI (15.86, 17.96 vs 2.57 h). In summary, our data demonstrated that OmCI conjugated with fatty acid could be developed as the potential long-acting C5 complement inhibitor in the clinic.

Semirational Design Based on Consensus Sequences to Balance the Enzyme Activity-Stability Trade-Off.

In this study, the phenomenon of the stability-activity trade-off, which is increasingly recognized in enzyme engineering, was explored. Typically, enhanced stability in enzymes correlates with diminished activity. Utilizing Rosa roxburghii copper-zinc superoxide dismutase (RrCuZnSOD) as a model, single-site mutations were introduced based on a semirational design derived from consensus sequences. The initial set of mutants was selected based on activity, followed by combinatorial mutation. This approach yielded two double-site mutants, D25/A115T (18,688 ± 206 U/mg) and A115T/S135P (18,095 ± 1556 U/mg), exhibiting superior enzymatic properties due to additive and synergistic effects. These mutants demonstrated increased half-lives (T1/2) at 80 °C by 1.2- and 1.6-fold, respectively, and their melting temperatures (Tm) rose by 3.4 and 2.5 °C, respectively, without any loss in activity relative to the wild type. Via an integration of structural analysis and molecular dynamics simulations, we elucidated the underlying mechanism facilitating the concurrent enhancement of both thermostability and enzymatic activity.

Tertiary Plasticity Drives the Efficiency of Enterocin 7B Interactions with Lipid Membranes.

The ability of antimicrobial peptides to efficiently kill their bacterial targets depends on the efficiency of their binding to the microbial membrane. In the case of enterocins, there is a three-part interaction: initial binding, unpacking of helices on the membrane surface, and permeation of the lipid bilayer. Helical unpacking is driven by disruption of the peptide hydrophobic core when in contact with membranes. Enterocin 7B is a leaderless enterocin antimicrobial peptide produced from Enterococcus faecalis that functions alone, or with its cognate partner enterocin 7A, to efficiently kill a wide variety of Gram-stain positive bacteria. To better characterize the role that tertiary structural plasticity plays in the ability of enterocin 7B to interact with the membranes, a series of arginine single-site mutants were constructed that destabilize the hydrophobic core to varying degrees. A series of experimental measures of structure, stability, and function, including CD spectra, far UV CD melting profiles, minimal inhibitory concentrations analysis, and release kinetics of calcein, show that decreased stabilization of the hydrophobic core is correlated with increased efficiency of a peptide to permeate membranes and in killing bacteria. Finally, using the computational technique of adaptive steered molecular dynamics, we found that the atomistic/energetic landscape of peptide mechanical unfolding leads to free energy differences between the wild type and its mutants, whose trends correlate well with our experiment.

Comprehensive Data-Driven Assessment of Non-Kinase Targets of Inhibitors of the Human Kinome.

Protein kinases (PKs) are involved in many intracellular signal transduction pathways through phosphorylation cascades and have become intensely investigated pharmaceutical targets over the past two decades. Inhibition of PKs using small-molecular inhibitors is a premier strategy for the treatment of diseases in different therapeutic areas that are caused by uncontrolled PK-mediated phosphorylation and aberrant signaling. Most PK inhibitors (PKIs) are directed against the ATP cofactor binding site that is largely conserved across the human kinome comprising 518 wild-type PKs (and many mutant forms). Hence, these PKIs often have varying degrees of multi-PK activity (promiscuity) that is also influenced by factors such as single-site mutations in the cofactor binding region, compound binding kinetics, and residence times. The promiscuity of PKIs is often-but not always-critically important for therapeutic efficacy through polypharmacology. Various in vitro and in vivo studies have also indicated that PKIs have the potential of interacting with additional targets other than PKs, and different secondary cellular targets of individual PKIs have been identified on a case-by-case basis. Given the strong interest in PKs as drug targets, a wealth of PKIs from medicinal chemistry and their activity data from many assays and biological screens have become publicly available over the years. On the basis of these data, for the first time, we conducted a systematic search for non-PK targets of PKIs across the human kinome. Starting from a pool of more than 155,000 curated human PKIs, our large-scale analysis confirmed secondary targets from diverse protein classes for 447 PKIs on the basis of high-confidence activity data. These PKIs were active against 390 human PKs, covering all kinase groups of the kinome and 210 non-PK targets, which included other popular pharmaceutical targets as well as currently unclassified proteins. The target distribution and promiscuity of the 447 PKIs were determined, and different interaction profiles with PK and non-PK targets were identified. As a part of our study, the collection of PKIs with activity against non-PK targets and the associated information are made freely available.

Lethality prediction of single-site osteogenesis imperfecta mutations on type I collagen with graph neural networks

Lethality prediction of single-site osteogenesis imperfecta mutations on type I collagen with graph neural networks

Maintaining moderate levels of hypochlorous acid promotes neural stem cell proliferation and differentiation in the recovery phase of stroke.

JOURNAL/nrgr/04.03/01300535-202503000-00029/figure1/v/2024-06-17T092413Z/r/image-tiff It has been shown clinically that continuous removal of ischemia/reperfusion-induced reactive oxygen species is not conducive to the recovery of late stroke. Indeed, previous studies have shown that excessive increases in hypochlorous acid after stroke can cause severe damage to brain tissue. Our previous studies have found that a small amount of hypochlorous acid still exists in the later stage of stroke, but its specific role and mechanism are currently unclear. To simulate stroke in vivo, a middle cerebral artery occlusion rat model was established, with an oxygen-glucose deprivation/reoxygenation model established in vitro to mimic stroke. We found that in the early stage (within 24 hours) of ischemic stroke, neutrophils produced a large amount of hypochlorous acid, while in the recovery phase (10 days after stroke), microglia were activated and produced a small amount of hypochlorous acid. Further, in acute stroke in rats, hypochlorous acid production was prevented using a hypochlorous acid scavenger, taurine, or myeloperoxidase inhibitor, 4-aminobenzoic acid hydrazide. Our results showed that high levels of hypochlorous acid (200 μM) induced neuronal apoptosis after oxygen/glucose deprivation/reoxygenation. However, in the recovery phase of the middle cerebral artery occlusion model, a moderate level of hypochlorous acid promoted the proliferation and differentiation of neural stem cells into neurons and astrocytes. This suggests that hypochlorous acid plays different roles at different phases of cerebral ischemia/reperfusion injury. Lower levels of hypochlorous acid (5 and 100 μM) promoted nuclear translocation of β-catenin. By transfection of single-site mutation plasmids, we found that hypochlorous acid induced chlorination of the β-catenin tyrosine 30 residue, which promoted nuclear translocation. Altogether, our study indicates that maintaining low levels of hypochlorous acid plays a key role in the recovery of neurological function.

Rational Engineering of Mesorhizobium Imine Reductase for Improved Synthesis of N-Benzyl Cyclo-tertiary Amines

The effective synthesis of N-benzyl cyclo-tertiary amines using imine reductase, key components in natural products and pharmaceutical synthesis, is a green approach. Traditional methods faced challenges with enzyme activity and selectivity. This study focused on enhancing Mesorhizobium imine reductase (MesIRED) for better N-benzyl cyclo-tertiary amine production. Through alanine scanning and consensus mutation, 12 single-site MesIRED mutants were identified from 23 candidates, showing improved conversion of N-benzylpyrrolidine and N-benzylpiperidine. Notably, mutants from I177, V212, I213, and A241 significantly boosted conversions. The best-performing mutant for N-benzylpyrrolidine, MesIREDV212A/I213V (M1), increased conversion from 23.7% to 74.3%. For N-benzylpiperidine, MesIREDV212A/I177A/A241I (M2) enhanced conversion from 22.8% to 66.8%. Tunnel analysis revealed M1 and M2 have more efficient tunnels for larger product movement compared to wild-type MesIRED. Using recombinant E. coli coexpressing MesIRED and glucose dehydrogenase (GDH), high conversions were achieved: 75.1% for N-benzylpyrrolidine (M1) and 88.8% for N-benzylpiperidine (M2). A preparative experiment resulted in 86.2% conversion and 60.2% yield for N-benzylpiperidine. This research offers an efficient method for engineering IRED, significantly improving conversion and selectivity for N-benzyl cyclo-tertiary amines, aiding drug synthesis and providing insights into rational design of other enzymes.

Improving the thermal stability and catalytic activity of ulvan lyase by the combination of FoldX and KnowVolution campaign

Thermal stability is one of the most important properties of ulvan lyases for their application in algae biomass degradation. The Knowledge gaining directed eVolution (KnowVolution) protein engineering strategy could be employed to improve thermostability of ulvan lyase with less screening effort. Herein, the unfolding free energies (ΔΔG) of the loop region were calculated using FoldX and four sites (D103, G104, T113, Q229) were selected for saturation mutagenesis, resulting in the identification of a favorable single-site mutant Q229M. Subsequently, iteration mutation was carried out with the mutant N57P (previously obtained by our group) to further enhance the performance of ulvan lyase. The results showed that the most beneficial variant N57P/Q229M exhibited a 1.67-fold and 2-fold increase in residual activity compared to the wild type after incubation at 40 °C and 50 °C for 1 h, respectively. In addition, the variant produced 1.06 mg/mL of reducing sugar in 2 h, which was almost four times as much as the wild type. Molecular dynamics simulations revealed that N57P/Q229M mutant enhanced the structural rigidity by augmenting intramolecular hydrogen bonds. Meanwhile, the shorter proton transmission distance between the general base of the enzyme and the substrate contributed to the glycosidic bond breakage. Our research showed that in silico saturation mutagenesis using position scan module in FoldX allowed for faster screening of mutants with improved thermal stability, and combining it with KnowVolution enabled a balanced effect of thermal stability and enzyme activity in protein engineering.

Molecular mechanism governing RNA-binding property of mammalian TRIM71 protein

TRIM71 is an RNA-binding protein with ubiquitin ligase activity. Numerous functions of mammalian TRIM71, including cell cycle regulation, embryonic stem cell (ESC) self-renewal, and reprogramming of pluripotent stem cells, are related to its RNA-binding property. We previously reported that a long noncoding RNA (lncRNA) Trincr1 interacts with mouse TRIM71 (mTRIM71) to repress FGF/ERK pathway in mouse ESCs (mESCs). Herein, we identify an RNA motif specifically recognized by mTRIM71 from Trincr1 RNA, and solve the crystal structure of the NHL domain of mTRIM71 complexed with the RNA motif. Similar to the zebrafish TRIM71, mTRIM71 binds to a stem-loop structured RNA fragment of Trincr1, and an adenosine base at the loop region is crucial for the mTRIM71 interaction. We map similar hairpin RNAs preferably bound by TRIM71 in the mRNA UTRs of the cell-cycle related genes regulated by TRIM71. Furthermore, we identify key residues of mTRIM71, conserved among mammalian TRIM71 proteins, required for the RNA-binding property. Single-site mutations of these residues significantly impair the binding of TRIM71 to hairpin RNAs in vitro and to mRNAs of Cdkn1a/p21 and Rbl2/p130 in mESCs. Furthermore, congenital hydrocephalus (CH) specific mutation of mTRIM71 impair its binding to the RNA targets as well. These results reveal molecular mechanism behind the recognition of RNA by mammalian TRIM71 and provide insights into TRIM71 related diseases.

Deficiency of N-linked glycosylation impairs immune function of B7-H6.

B7-H6 is a novel immune checkpoint molecule that triggers NK cell cytotoxicity, but the role of N-glycosylation in B7-H6 is poorly understood. We here identified the existence of N-glycosylation of B7-H6 in different cell lines and exogenous expression cells by PNGase F digestion and tunicamycin blockage. Subsequently, we demonstrated that B7-H6 contains 6 functional N-linked glycosylation sites by single site mutation and electrophoresis. Phylogenetical and structural analysis revealed that N43 and N208 glycan are conserved in jawed vertebrates and may thus contribute more to the biological functions. We further demonstrated that N43 and N208 glycosylation are essential for B7-H6 to trigger NK cell activation. Mechanistically, we found that N43 and N208 glycan contributed to the stability and membrane expression of B7-H6 protein. Lack of N208 glycosylation led to membrane B7-H6 shedding, while N43 mutation resulted in impaired B7-H6/NKp30 binding affinity. Together, our findings highlight the significance of N-linked glycosylation in B7-H6 biological functions and suggest potential targets for modulating NK cell-mediated immunity.