Domain Fusion Research Articles

Real-Time Low-Light Imaging in Space Based on the Fusion of Spatial and Frequency Domains

Due to the low photon count in space imaging and the performance bottlenecks of edge computing devices, there is a need for a practical low-light imaging solution that maintains satisfactory recovery while offering lower network latency, reduced memory usage, fewer model parameters, and fewer operation counts. Therefore, we propose a real-time deep learning framework for low-light imaging. Leveraging the parallel processing capabilities of the hardware, we perform the parallel processing of the image data from the original sensor across branches with different dimensionalities. The high-dimensional branch conducts high-dimensional feature learning in the spatial domain, while the mid-dimensional and low-dimensional branches perform pixel-level and global feature learning through the fusion of the spatial and frequency domains. This approach ensures a lightweight network model while significantly improving the quality and speed of image recovery. To adaptively adjust the image based on brightness and avoid the loss of detailed pixel feature information, we introduce an adaptive balancing module, thereby greatly enhancing the effectiveness of the model. Finally, through validation on the SID dataset and our own low-light satellite dataset, we demonstrate that this method can significantly improve image recovery speed while ensuring image recovery quality.

Structural Basis of the Bivalency of the TRPV1 Agonist DkTx.

Bivalency is a prevalent natural mechanism to enhance receptor avidity. Various two-domain disulfide-rich peptides exhibiting bivalent action have been identified from animal venoms. A unique characteristic of these peptides is that they induce a pharmacological response different from that provoked by any of the constituent domains. The enhanced potency and avidity of such peptides is therefore a consequence of their domain fusion by a peptide linker. The role of the linker itself, beyond conjugation, remains unclear. Here, we investigate how the linker affects the bivalency of the capsaicin receptor (TRPV1) agonist DkTx. We recombinantly produced isotope labelled DkTx using a protein splicing approach, to solve the high-resolution solution structure of DkTx, revealing residual linker order stabilised by linker-domain interactions leading to biased domain orientations. The significance of this was studied using a combination of mutagenesis, spin relaxation studies and electrophysiology measurements. Our results reveal that disrupting the pre-organisation of the domains of DkTx is accompanied by reductions in potency and onset of avidity. Our findings support a model of pre-configured two-domain binding, in favour of the previously suggested sequential binding model. This highlights the significance of ordered elements in linker design and the natural evolution of these in bivalent toxins.

Structural Basis of the Bivalency of the TRPV1 Agonist DkTx

AbstractBivalency is a prevalent natural mechanism to enhance receptor avidity. Various two‐domain disulfide‐rich peptides exhibiting bivalent action have been identified from animal venoms. A unique characteristic of these peptides is that they induce a pharmacological response different from that provoked by any of the constituent domains. The enhanced potency and avidity of such peptides is therefore a consequence of their domain fusion by a peptide linker. The role of the linker itself, beyond conjugation, remains unclear. Here, we investigate how the linker affects the bivalency of the capsaicin receptor (TRPV1) agonist DkTx. We recombinantly produced isotope labelled DkTx using a protein splicing approach, to solve the high‐resolution solution structure of DkTx, revealing residual linker order stabilised by linker‐domain interactions leading to biased domain orientations. The significance of this was studied using a combination of mutagenesis, spin relaxation studies and electrophysiology measurements. Our results reveal that disrupting the pre‐organisation of the domains of DkTx is accompanied by reductions in potency and onset of avidity. Our findings support a model of pre‐configured two‐domain binding, in favour of the previously suggested sequential binding model. This highlights the significance of ordered elements in linker design and the natural evolution of these in bivalent toxins.

Fusion of altimetry-derived model and ship-borne data in preparation of high-resolution marine gravity determination

SUMMARY Satellite altimetry provides major data sources for marine gravity recovery, and typical altimetry derived models, for example, DTU21 and SS V32.1, were usually released with 1 arcmin × 1 arcmin gridding interval. Their true resolution is much lower than the nominal ∼2 km level. By contrast, the in situ ship-borne measurements are considered to have better short-wavelength resolution. In this paper, we aim to propose a new method to fully utilize satellite altimetry data and ship-borne measurements, namely the frequency-domain fusion method, and give certain analysis of new method along with two spatial-domain fusion methods. Comprehensive analysis is focus on four aspects: gravity signals in fusion images, numerical verifications, power spectra, as well as coherence analysis. Initial evaluation indicates that, first, the frequency-domain fusion method has advantage in flexibility, since it can autonomously select dominant bands to fuse different data sets. Secondly, the new method retains medium-long wavelength signals from altimetry-derived model and effectively incorporate dominant short-wavelength signals of in-situ measurements, while the spatial-domain methods are essentially full-wavelength fusion and inevitably diminish the role of satellite altimetry. To some extent, the new method maximize the positive contribution of satellite altimetry measurements and efficiently exploit the benefits of ship-borne data. Finally, verification experiments were similarly designed in three regions with different amount and ratio of ship-borne data to thoroughly evaluate various methods. In two regions with gridded and dense along-cruise ship-borne data, the average accuracy of this frequency-domain fusion results is improved by 0.346 and 0.613 mGal, respectively. In a region with sparse ship-borne data, we still recommend using spatial-domain fusion methods since the new method is unable to align ship-borne data with model grid. It is concluded from the above analysis that the new method effectively incorporates the short-wavelength signals from ship-borne data into the altimetry-derived gravity field model, and it is significant that the new method maximizes the application of advantageous bands from different data sources.

Immunity-linked genes are stimulated by a membrane stress pathway linked to Golgi function and the ARF-1 GTPase.

Infection response and other immunity-linked genes (ILGs) were first named in Caenorhabditis elegans-based expression after pathogen challenge, but many are also up-regulated when lipid metabolism is perturbed. Why pathogen attack and metabolic changes both increase ILGs is unclear. We find that ILGs are activated when phosphatidylcholine (PC) levels change in membranes of secretory organelles in C. elegans. RNAi targeting of the ADP-ribosylation factor arf-1, which disrupts the Golgi and secretory function, also activates ILGs. Low PC limits ARF-1 function, suggesting a mechanism for ILG activation via lipid metabolism, as part of a membrane stress response acting outside the ER. RNAi of selected ILGs uncovered defects in the secretion of two GFP reporters and the accumulation of a pathogen-responsive complement C1r/C1s, Uegf, Bmp1 (CUB) domain fusion protein. Our data argue that up-regulation of some ILGs is a coordinated response to changes in trafficking and may act to counteract stress on secretory function.

Intranasal immunization with an RBD-hemagglutinin fusion protein harnesses preexisting immunity to enhance antigen-specific responses.

Intranasal vaccines are anticipated to be powerful tools for combating many infectious diseases, including SARS-CoV-2, because they induce not only systemic immunity but also mucosal immunity at the site of initial infection. However, they are generally inefficient in inducing an antigen-specific immune response without adjuvants. Here, we developed an adjuvant-free intranasal vaccine platform that utilizes the preexisting immunity induced by previous infection or vaccination to enhance vaccine effectiveness. We made RBD-HA, a fusion of the receptor-binding domain (RBD) of spike derived from SARS-CoV-2 as a vaccine target with HA derived from influenza A virus (IAV) as a carrier protein. Intranasal immunization of previously IAV-infected mice with RBD-HA without an adjuvant elicited robust production of RBD-specific systemic IgG and mucosal IgA by utilizing both HA-specific preexisting IgG and CD4+ T cells. Consequently, the mice were efficiently protected from SARS-CoV-2 infection. Additionally, we demonstrated the high versatility of this intranasal vaccine platform by assessing various vaccine antigens and preexisting immunity associated with a variety of infectious diseases. The results of this study suggest the promising potential of this intranasal vaccine platform to address problems associated with intranasal vaccines.

Abstract B129: A bispecific antibody inhibits FGFR3 dimerization and is highly effective in FGFR3-driven tumor models

Abstract Background: The receptor tyrosine kinase (RTK) FGFR3 is frequently mutated in bladder cancer (~15-20% in muscle invasive bladder cancer, MIBC) and is a validated therapeutic target. Oncogenic alterations in FGFR3 include point mutations in the extracellular domain (S249C, R248C, G372C, Y375C) and gene fusions that place an oligomerization domain from a fusion partner at the FGFR3 C-terminus (e.g., FGFR3-TACC3). Although pan-FGFR tyrosine kinase inhibitors (TKI) have demonstrated clinical efficacy, toxicity and acquired resistance limit the benefit of these agents. While antibody-based therapy can offer superior selectivity compared to TKIs, conventional ligand-blocking antibodies are usually ineffective inhibitors of constitutively active RTKs. Further, the existence of multiple oncogenic variants of FGFR3 presents an additional challenge for antibody-mediated blockade. Results: We generated a tetravalent bispecific FGFR3xFGFR3 antibody that potently inhibits both FGFR3 point mutants and fusions with better efficacy than the conventional antibodies that we produced and a clinical-stage comparator antibody. Mechanistically, our bispecific antibody binds FGFR3 through two different epitopes located in immunoglobulin-like domains D1 and D2/3 respectively. It potently blocks the dimerization of FGFR3 S249C, the most common oncogenic variant, inhibiting receptor phosphorylation and downstream signaling. Additionally, our bispecific antibody inhibits the function of FGFR3 gatekeeper mutations (V557M/L) that are resistant to TKIs. In FGFR3-driven tumor models, our antibody is highly effective, providing efficacy similar to that of the FDA-approved TKI erdafitinib. Conclusion: We have characterized the properties of a tetravalent bispecific FGFR3xFGFR3 antibody that shows strong anti-tumor activity in models driven by FGFR3 S249C as well as by FGFR3-TACC3 fusion, outperforming a conventional antibody that was previously in clinical development. The activity of the bispecific antibody is superior to the mixture of the two parental antibodies and results from strong inhibition of FGFR3 dimerization. Our bispecific antibody provides a novel approach to achieve selective and potent inhibition of multiple oncogenic variants of FGFR3 in bladder cancer, including FGFR3 variants that are resistant to FGFR TKIs. Citation Format: Yan Yang, Naga Suhasini Avvaru, Zaoli Jiang, Nina Liu, Michael Rosconi, Bojie Zhang, Yinyin Li, Erica Ullman, John Chia-Yang Lin, Yang Shen, Christopher Daly. A bispecific antibody inhibits FGFR3 dimerization and is highly effective in FGFR3-driven tumor models [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr B129.

Therapeutic Fusion Proteins.

Therapeutic fusion proteins are a class of hybrid constructs that combine distinct biomolecules into a single platform with the additive effects of the components. The ability to fuse two unrelated proteins provides a means to localize mechanisms to better treat a range of diseases. Fusion proteins can be designed to impart diverse functions, including increasing half-life, providing targeting, and enabling sustained signaling. Of these, half-life extenders, which are fused to a therapeutic protein to increase exposure, are the most established group of fusion proteins, with many clinical successes. Rapid advances in antibody and antibody-derivative technology have enabled the fusion of targeting domains with therapeutic proteins. An emerging group of therapeutic fusion proteins has two separate active functions. Although most research for therapeutic fusion proteins focuses on cancer, prior successes provide a foundation for studies into other diseases as well. The exponential emergence of biopharmaceuticals gives precedence for increased research into therapeutic fusion proteins for a multitude of diseases.

Design of a Superior Factor VIIIa Mimetic By Coupling a Membrane Binding Domain to a Factor IXa Binding Antibody Fragment

Emicizumab is a bispecific antibody that augments Factor X (FX) activation by factor IXa (FIXa) in the absence of factor VIIIa (FVIIIa) by binding and approximating the substrate FX and protease FIXa. Clinical use of this FVIIIa mimetic significantly reduces bleeding episodes in Hemophilia A (HA) patients. Membrane dependent assembly of FVIIIa-FIXa-FX is an absolute requirement for the intrinsic tenase activity. In contrast, emicizumab lacks any membrane binding ability itself and exhibits significant FXa generation even in the absence of membranes. This major distinction likely allows FVIIIa to function at sub-nanomolar concentrations to greatly accelerate the activation of FX while only much lower enhancements of rate are achieved at several 100-fold higher concentrations of emicizumab. We sought to test whether the addition of a membrane binding feature in the monospecific FIXa binding fragment of emicizumab could alone approximate the cofactor activity obtained with the bispecific antibody. We first generated a single chain antibody fragment (scFv) of the FIXa binding arm of emicizumab by joining the variable heavy chain (V H) with the variable light chain (V L) to produce V H9V L. In line with previous observations that FIXa one arm antibodies of emicizumab that can only bind FIXa and impart a modest cofactor mimetic activity, V H9V L, facilitated FIXa-mediated FX activation at a much lower rate in comparison to bispecific emicizumab. The scFv, V H9V L, was used as a template to introduce membrane binding properties. The Factor V C2-domain, which binds membrane, was fused at the C-terminus of V H9V L via a repeating Gly 4Ser flexible linker of ~ 5.7 nm to allow the V H and V L domains of the scFv to potentially orient correctly at the membrane surface. The resulting construct V H9V LC2 showed a substantial amplification in cofactor mimetic activity as compared to V H9V L. In vitro kinetic analyses with purified proteins and synthetic phospholipid vesicles containing phosphatidylcholine (PC) and phosphatidylserine (PS) (PC:PS, 75:25 %) showed approximately 22-fold faster activation of FX by V H9V LC2 as compared to V H9V L. Remarkably, despite its inability to bind FX, cofactor mimetic activity of V H9V LC2 was about two-fold higher than that of emicizumab. Potent enhancement of FX activation by V H9V LC2 observed with purified proteins was also reflected in thrombin generation assays (TGA). V H9V LC2 added at 100 nM brought thrombin generation into the reference range in congenital FVIII-deficient HA plasma supplemented with 4 µM PC:PS and triggered with either low tissue factor (0.1 pM), or factor XIa (0.1 nM). The role of C2 domain-mediated increase in cofactor activity of V H9V LC2 was further assessed by using an antibody fragment (E 9scFv) that inhibits the binding of factor V to membranes. Increasing concentrations of E 9scFv caused a dose-dependent reduction in the rate of FXa formation catalyzed by the complex of V H9V LC2: FIXa (20nM:25nM). Inhibition saturated at ~ 85% at 100 nM E 9scFv, indicating a substantial contribution of membrane binding to the cofactor mimetic function of V H9V LC2. To evaluate whether V H9V LC2 can restore clotting in HA plasma with FVIII inhibitors, normal pooled plasma was supplemented with a FVIII neutralizing antibody to mimic FVIII inhibitor plasma. Addition of V H9V LC2 to this plasma restored clotting time to the levels shown by normal pooled plasma, suggesting that V H9V LC2 can bypass FVIII inhibitor activity. The engineered scFv with a factor V C2 domain fusion, V H9V LC2, demonstrates that mere addition of a membrane binding feature to the FIXa arm of the emicizumab surpasses the mimetic activity achieved by a bispecific antibody that exploits both bridging and allostery to be an effective cofactor. Such a construct also avoids the burden of productive assembly from a combination of three separate polypeptide chains, as in a functional bispecific antibody. Replicating the membrane binding feature into bispecific FVIIIa mimetic antibodies could further amplify function and more closely resemble FVIIIa in both activity and membrane dependent regulation. Our results provide surprising insights into how a single chain, monospecific, membrane-anchored FVIIIa mimetic enhances the catalytic activity of FIXa.

A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data

Through the application of deep learning and multi-sensor data, fault features can be automatically extracted and valuable information can be integrated to tackle intricate challenges in motor bearing fault diagnosis. Most existing fusion models focus primarily on the original time series signal with information extraction largely restricted to the time domain (without extensions into multiple transformation domains). Also, in most fusion models, the sensor fusion level is kept relatively simple which could lead to the oversight of correlations and complementarities among the information. To enhance the recognition capability of diagnostic network features, in this paper, we propose a novel framework for motor bearing fault diagnosis from the perspectives of multi-transformation domain and multi-source data fusion. Within this framework, feature extraction and fusion from various source data are achieved in the time domain, frequency domain, and time–frequency domain. Distinct independent networks are set up within these domains: one network is designated for overseeing feature fusion, while the others are dedicated to extracting features from individual sensors. To support the extraction of pivotal features across multiple fusion layers in various transformation domains, several fusion nodes are inserted between the layers of the multiple feature extraction networks and the feature summarization network. Furthermore, a channel attention mechanism is introduced as a fusion strategy that serves to pinpoint the significance of different features, thus enhancing the efficiency of feature extraction. Experimental evaluation reveals the efficacy of the proposed model and highlights its noteworthy performance attributes such as scalability and universality.

PDA: Progressive Domain Adaptation for Semantic Segmentation

The unsupervised domain adaptation semantic segmentation task is challenging due to the distribution shift problem between the source and the target domains. In this paper, we provide a novel perspective to address this problem. Currently, in the literature, it is shown that output-level domain adaptation networks (OL-DAN) can generate outputs with smaller distribution shift. Motivated by this phenomenon, a Progressive Domain Adaptation (PDA) framework is proposed, which uses the outputs generated by OL-DAN as the auxiliary domain images to progressively align the distribution between the source and target domains. Unlike existing two-stage input-level domain adaptation methods which use an image translation network as a standalone model to generate the auxiliary domain images, the PDA is an end-to-end framework that contains an OL-DAN and a domain fusion domain adaptation network (DF-DAN). The OL-DAN aims to gradually generate the outputs with smaller distribution shift and more accurate semantic structures as the auxiliary domain images in every iteration optimization. The DF-DAN is proposed to further mine the domain-invariant information from the auxiliary images and then fuse the features learned from the original images and the auxiliary images to obtain a richer representation. Finally, the distribution between the source and target domains is aligned to optimize the OL-DAN and DF-DAN. Experiments demonstrate that the proposed PDA achieves superior performance on three cross-domain semantic segmentation benchmarks.

Erratum to: Reinforcement learning as a basis for cross domain fusion of heterogeneous data

Erratum to: Reinforcement learning as a basis for cross domain fusion of heterogeneous data

CD19-CAR Cytokine Induced Killer Cells Armored with IL-18 Control Tumor Burden, Prolong Mouse Survival and Result in In Vivo Persistence of CAR-CIK Cells in a Model of B-Cell Acute Lymphoblastic Leukemia

Rationale: Cytokine induced killer cells (CIK) are a promising cancer immunotherapy. Recently CIK cells modified to express chimeric antigen receptors (CAR) target CD19 expressing hematological malignancies including B-cell acute lymphoblastic leukemia (B-ALL). Despite encouraging clinical trial results, insufficient CAR-CIK anti-tumor activity and persistence pose major obstacles towards improved efficacy in vivo. Therefore, we optimized our CAR-CIK platform by introducing two modifications to the CD19-CAR construct. The first modification “armored” CAR-CIK cells by inserting the IL-18 gene in a bicistronic DNA plasmid enabling simultaneous surface expression of the CAR protein and secretion of IL-18, which demonstrated improved CAR-T cell function. The second modification attenuated the CD28 cytoplasmic signaling domain of the CAR molecule to enhance anti-tumor activity and in vivo persistence since recent findings demonstrate that persistent or chronic CAR signaling can impair anti-tumor activity and in vivo persistence. Methods: CARCIK-1918 cells generated from donor-derived CIK cells are engineered to express CAR and IL-18 using the non-viral Sleeping Beauty (SB) transposon system. CIK cells were generated from donor PBMCs by the sequential addition of IFN-ϒ and stimulation with anti-CD3 antibody plus IL-2. After 2 days of stimulation CIK cells were co-electroporated with SB100X transposase mRNA and plasmid DNA containing a bicistronic transgene encoding both the anti-CD19 CAR and IL-18. This second-generation CAR contains a fusion of the CD28 transmembrane domain, intracellular CD28 and, TCR CD3ζ chain. In some instances, the cytoplasmic CD28 signaling domain is modified to attenuate CD28 signaling. This method of gene transfer results in stable surface expression of the CAR on CD3+ cells through a 17-day culture period. Day 17 cells are harvested, frozen and used for all subsequent studies. CARCIK-1918 cells are stimulated in vitro with CD19+ REH tumor cells and the phenotype of activated cells was characterized by multi-color flow cytometry. IL-18 secretion was determined by cytokine bead array analysis of supernatants collected post stimulation. CARCIK-1918 cells with or without the attenuated CD28 signaling domain were tested in vivo in a xenograft model of B-ALL, using NSG mice engrafted with CD19+ Raji tumor cells. Tumor burden was assessed weekly by bioluminescence imaging, the in vivo persistence of CARCIK-1918 cells was measured by flow cytometry, and survival was monitored throughout the study. Results: CARCIK-1918 cells express both IL-18 and CAR with or without attenuated CD28 signaling. Furthermore, stimulation of CARCIK-1918 cells with CD19+ REH tumor cells increases the frequency of CAR-CIK cells with a memory phenotype and concurrent upregulation of the high affinity IL-2 receptor, CD25, and the costimulatory receptor CD137. Expression of IL-18 leads to higher engraftment of CAR-CIK cells in tumor bearing NSG mice compared to unarmored controls. NSG mice engrafted with luciferase positive Raji cells demonstrated decreased bioluminescent signal following CARCIK-1918 treatment, consistent with CARCIK derived anti-leukemic activity. This anti-tumor activity corresponded to a statistically significant improvement in survival as mice treated with 2 nd generation CAR transgene CARCIK cells with or without attenuated CD28 signaling had a median survival of 37.5 (n=10; p=0.0001) and 38 (n=12; p =0.0001 days), respectively, compared to untreated mice that develop progressive highly disseminated tumor and succumb to disease by 3 weeks post tumor inoculation (n=11; median survival 18 days). Interestingly, mice treated with CARCIK-1918 cells with the CD28 attenuated signaling domain exhibited better tumor control and enhanced persistence in vivo, despite no significant improvement in survival compared to WT CD28 signaling CARCIK-1918 cells. Summary: This study demonstrates that administration of CAR-CIK cells armored with IL-18 results in a significant survival advantage for tumor challenged animals versus untreated animals. Furthermore, modifying the cytoplasmic CD28 domain to attenuate signaling, results in better control of tumor burden, and persistence of CARCIK-1918 cells in vivo. Our study is the first report of IL-18 armored CAR-CIK cells which may present a promising, novel strategy for the treatment of B-ALL.

A C1qTNF3 collagen domain fusion chaperones diverse secreted proteins and anti-Aβ scFvs: Applications for gene therapies

Enhancing production of protein cargoes delivered by gene therapies can improve efficacy by reducing the amount of vector or simply increasing transgene expression levels. We explored the utility of a 126-amino acid collagen domain (CD) derived from the C1qTNF3 protein as a fusion partner to chaperone secreted proteins, extracellular "decoy receptor" domains, and single-chain variable fragments (scFvs). Fusions to the CD domain result in multimerization and enhanced levels of secretion of numerous fusion proteins while maintaining functionality. Efficient creation of bifunctional proteins using the CD domain is also demonstrated. Recombinant adeno-associated viral vector delivery of the CD with a signal peptide resulted in high-level expression with minimal biological impact as assessed by whole-brain transcriptomics. As a proof-of-concept invivo study, we evaluated three different anti-amyloid Aβ scFvs (anti-Aβ scFvs), alone or expressed as CD fusions, following viral delivery to neonatal CRND8 mice. The CD fusion increased half-life, expression levels, and improved efficacy for amyloid lowering of a weaker binding anti-Aβ scFv. These studies validate the potential utility of this small CD as a fusion partner for secretory cargoes delivered by gene therapy and demonstrate that it is feasible to use this CD fusion to create biotherapeutic molecules with enhanced avidity or bifunctionality.

Fusion proteins development strategies and their role as cancer therapeutic agents.

Cancer continues to be leading cause of morbidity and mortality despite decades of research and advancement in chemotherapy. Most tumors can be reduced via standard oncology treatments, such as chemotherapy, radiotherapy, and surgical resection, and they frequently recur. Significant progress has been made since targeted cancer therapy inception in creation of medications that exhibit improved tumor-selective action. Particularly in preclinical and clinical investigations, fusion proteins have shown strong activity and improved treatment outcomes for a number of human cancers. Synergistically combining many proteins into one complex allows the creation of synthetic fusion proteins with enhanced characteristics or new capabilities. Signal transduction pathways are important for onset, development, and spread of cancer. As result, signaling molecules are desirable targets for cancer therapies, and significant effort has been made into developing fusion proteins that would act as inhibitors of these pathways. A wide range of biotechnological and medicinal applications are made possible by fusion of protein domains that improves bioactivities or creates new functional combinations. Such proteins may function as immune effectors cell recruiters to tumors or as decoy receptors for various ligands. In this review article, we have outlined the standard methods for creating fusion proteins and covered the applications of fusion proteins in treatment of cancer. This article also highlights the role of fusion proteins in targeting the signaling pathways involved in cancer for effective treatment.

In-silico whole-genome sequence analysis of a halotolerant filamentous mangrove cyanobacterium revealed CRISPR-Cas systems with unique properties.

Novel CRISPR systems capable of cleaving both DNA and RNA are progressively emerging as attractive tools for genome manipulation of prokaryotic and eukaryotic organisms. We report specific characteristics of CRISPR systems present in Oxynema aestuarii AP17, a halotolerant, filamentous cyanobacterium and the second known member of the Oxynema genus. In-silico analyses of its whole-genome sequence revealed the presence of multiple Type I and Type III CRISPR loci with one Type I-G system previously unreported in cyanobacteria. We further identified the leader sequences at the 5' end of multiple CRISPR loci, many of which were distinct from previously reported cyanobacterial CRISPR leaders. Phylogenetic analyses of the O. aestuarii AP17 Cas1 proteins revealed two protein sequences that were unique and distantly related to other cyanobacterial Cas1 protein sequences. Our findings are significant because novel Class 1 CRISPR systems possess multi-subunit effectors and are highly flexible for repurposing by protein domain fusions made to the effector complex. Additionally, Type III CRISPRs are particularly useful for genome editing in certain extremophiles for which mesophilic Type II CRISPRs are ineffective.

The Membrane-Mediated Interaction of Liquid-Ordered Lipid Domains in the Presence of Amphipathic Peptides.

The lipid membranes of living cells are composed of a large number of lipid types and can undergo phase separation with the formation of nanometer-scale liquid-ordered lipid domains, also called rafts. Raft coalescence, i.e., the fusion of lipid domains, is involved in important cell processes, such as signaling and trafficking. In this work, within the framework of the theory of elasticity of lipid membranes, we explore how amphipathic peptides adsorbed on lipid membranes may affect the domain-domain fusion processes. We show that the elastic deformations of lipid membranes drive amphipathic peptides to the boundary of lipid domains, which leads to an increase in the average energy barrier of the domain-domain fusion, even if the surface concentration of amphipathic peptides is low and the domain boundaries are only partially occupied by the peptides. This inhibition of the fusion of lipid domains may lead to negative side effects of using amphipathic peptides as antimicrobial agents.

Conditional activation of an anti-IgM antibody-drug conjugate for precise B cell lymphoma targeting.

Cancerous B cells are almost indistinguishable from their non-malignant counterparts regarding their surface antigen expression. Accordingly, the challenge to be faced consists in elimination of the malignant B cell population while maintaining a functional adaptive immune system. Here, we present an IgM-specific antibody-drug conjugate masked by fusion of the epitope-bearing IgM constant domain. Antibody masking impaired interaction with soluble pentameric as well as cell surface-expressed IgM molecules rendering the antibody cytotoxically inactive. Binding capacity of the anti-IgM antibody drug conjugate was restored upon conditional protease-mediated demasking which consequently enabled target-dependent antibody internalization and subsequent induction of apoptosis in malignant B cells. This easily adaptable approach potentially provides a novel mechanism of clonal B cell lymphoma eradication to the arsenal available for non-Hodgkin's lymphoma treatment.

Tetanus toxin and botulinum neurotoxin-derived fusion molecules are effective bivalent vaccines.

Tetanus toxin (TeNT) and botulinum neurotoxins (BoNTs) are neuroprotein toxins, with the latter being the most toxic known protein. They are structurally similar and contain three functional domains: an N-terminal catalytic domain (light chain), an internal heavy-chain translocation domain (HN domain), and a C-terminal heavy chain receptor binding domain (Hc domain or RBD). In this study, fusion functional domain molecules consisting of the TeNT RBD (THc) and the BoNT/A RBD (AHc) (i.e., THc-Linker-AHc and AHc-Linker-THc) were designed, prepared, and identified. The interaction of each Hc domain and the ganglioside receptor (GT1b) or the receptor synaptic vesicle glycoprotein 2 (SV2) was explored in vitro. Their immune response characteristics and protective efficacy were investigated in animal models. The recombinant THc-linker-AHc and AHc-linker-THc proteins with the binding activity had the correct size and structure, thus representing novel subunit vaccines. THc-linker-AHc and AHc-linker-THc induced high levels of specific neutralizing antibodies, and showed strong immune protective efficacy against both toxins. The high antibody titers against the two novel fusion domain molecules and against individual THc and AHc suggested that the THc and AHc domains, as antigens in the fusion functional domain molecules, do not interact with each other and retain their full key epitopes responsible for inducing neutralizing antibodies. Thus, the recombinant THc-linker-AHc and AHc-linker-THc molecules are strong and effective bivalent biotoxin vaccines, protecting against two biotoxins simultaneously. Our experimental design will be valuable to develop recombinant double-RBD fusion molecules as potent bivalent subunit vaccines against bio-toxins. KEY POINTS: •Double-RBD fusion molecules from two toxins had the correct structure and activity. •THc-linker-AHc and AHc-linker-THc efficiently protected against both biotoxins. •Such bivalent biotoxin vaccines based on the RBD are a valuable experimental design.

Organisation of the orthobunyavirus tripodal spike and the structural changes induced by low pH and K+ during entry

Following endocytosis, enveloped viruses employ the changing environment of maturing endosomes as cues to promote endosomal escape, a process often mediated by viral glycoproteins. We previously showed that both high [K+] and low pH promote entry of Bunyamwera virus (BUNV), the prototypical bunyavirus. Here, we use sub-tomogram averaging and AlphaFold, to generate a pseudo-atomic model of the whole BUNV glycoprotein envelope. We unambiguously locate the Gc fusion domain and its chaperone Gn within the floor domain of the spike. Furthermore, viral incubation at low pH and high [K+], reminiscent of endocytic conditions, results in a dramatic rearrangement of the BUNV envelope. Structural and biochemical assays indicate that pH 6.3/K+ in the absence of a target membrane elicits a fusion-capable triggered intermediate state of BUNV GPs; but the same conditions induce fusion when target membranes are present. Taken together, we provide mechanistic understanding of the requirements for bunyavirus entry.