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Biology subjects

Geng, X.

Publications and source records attributed to Geng, X..

At least 19 recordsLinked to original sources

TALAVE in Breast Cancer: BRCA1/2 Mutation-Dependent Immune Remodeling after PARP Inhibition with Limited Checkpoint Engagement

PARP inhibitors (PARPi) drive efficacy in BRCA-mutant breast cancer (BC) via DNA damage-induced synthetic lethality and immune activation, supporting their combination with immune checkpoint blockade. In the TALAVE study, patients with advanced BRCA-mutant or wild-type (WT) HER2-negative BC received talazoparib followed by talazoparib plus avelumab. Only BRCA-mutant BC responded clinically. Serial multi-omic profiling revealed BRCA-dependent tumor-immune remodeling, including sustained H2AX-pTBK1 signaling with increased CD8+ T cells, tumor cell depletion, and enrichment of CD163+ macrophages. In contrast, BRCA-WT tumors remained compact and immunosuppressed with reduced T cells after therapy. PD-1+ T cells localized to CD4+-rich neighborhoods and correlated with longer progression-free survival in BRCA-mutant tumors. However, PD-L1+ cells were rapidly depleted or confined to immune-excluded regions, spatially segregating them from PD-1+ T cells, impairing effective checkpoint blockade. These findings suggest limited benefit of PD-1/PD-L1 blockade in augmenting PARPi activity and highlight the need for alternative strategies to sustain PARPi-induced immunity.

cancer biology↗

A GATA2-PROX1-FOXC2 regulatory axis integrates shear stress signaling with lymphatic vascular development

The two-hit hypothesis provides a novel framework for incompletely penetrant vascular disorders. Emberger syndrome, caused by heterozygous loss-of-function mutations in mechanosensitive transcription factor (TF) GATA2, is associated with lymphedema in a subset of patients, suggesting that modifiers influence disease development. Heterozygous loss-of-function mutations in mechanosensitive TF FOXC2 also cause lymphedema. Complete deletion of either factor in lymphatic endothelial cells (LECs) causes severe, overlapping defects, including complete loss of lymphatic valves, whereas single heterozygous mutants exhibit milder phenotypes, suggesting genetic buffering. However, whether GATA2 and FOXC2 interact with each other and with shear stress-dependent transcriptional programs remains unclear. Here, we show that Gata2+/-;Foxc2+/- mice develop profound lymphatic vascular defects, including absent lymphatic valves, perinatal lethality, and valve dysfunction, revealing dosage-dependent cooperation between GATA2 and FOXC2. Using a Cre-dependent model of LEC-specific GATA2 overexpression, we found that increased GATA2 dosage downregulated PROX1 and disrupted lymphatic vascular development. ATAC-seq and bulk RNA-seq of shear-exposed human LECs showed that PROX1 governs shear-responsive genes, including KLF2 and KLF4, whereas FOXC2 modulates PROX1-dependent and independent gene subsets. Together, these findings identify PROX1 as a central integrator of shear stress-responsive transcriptional programs and reveal that balanced GATA2 and FOXC2 dosage preserves this network during lymphatic vascular development.

Developmental Biology↗

Development and Function of Ovarian Lymphatic Vasculature

Lymphatic vessels play essential roles in interstitial fluid clearance and immune cell trafficking. Recent studies have uncovered previously unrecognized, organ-specific functions of the lymphatic vasculature in the meninges, heart, kidney, and lungs. However, the development and physiological significance of the ovarian lymphatic network remain poorly defined. To address this gap, we performed high-resolution three-dimensional imaging of ovarian lymphatic vasculature in mice. Our results reveal that the ovarian lymphatic network comprises lymphatic capillaries and valve-containing pre-collectors and the ovarian lymphatic vasculature arises from pre-existing lymphatic vessels in the broad ligament starting at postnatal day 5. Furthermore, we demonstrate that the VEGF-C/VEGFR-3 signaling is essential for ovarian lymphatic development and Vegfr3 insufficiency impairs ovarian lymphangiogenesis, leading to fibrosis and premature ovarian aging. Together, these findings identify the lymphatic vasculature as a critical component of the ovarian microenvironment and establish a causal link between lymphatic insufficiency and accelerated ovarian aging.

developmental biology↗

DNA-triggered AIM2 condensation orchestrates immune activation and regulation

The innate immune sensor AIM2 detects cytosolic DNA and initiates inflammatory responses, yet its activation mechanism remains incompletely understood. Here, we show that AIM2 undergoes liquid-liquid phase separation upon DNA binding, forming dynamic condensates both in vitro and in cells. These condensates serve as platforms for inflammasome and PANoptosome assembly, promoting immune activation across multiple pathways. Direct structural determination from condensates reveals the assembly of active-form ASC filaments. Mechanistically, liquid-phase condensation is governed by multivalent interactions involving different AIM2 domains, including previously uncharacterized regions and species-specific elements. In vitro and in vivo assays show that mutants specifically disrupting condensation impair immune complex assembly, cell death initiation, antimicrobial defense, and intestinal homeostasis. Moreover, AIM2-DNA condensates function as regulatory hubs targeted by host- and pathogen-derived factors to balance immune homeostasis or facilitate immune evasion. These findings establish liquid-phase condensation as a fundamental mechanism of AIM2 activation and a potential therapeutic target.

immunology↗

Autistic Children Show Reduced Activity in Left Superior Temporal Cortex in Response to Social-emotional Meaning in Language

Autistic children often differ from non-autistic peers in social interaction, emotional processing, and language communication. While the neural differences between autistic and non-autistic children in processing paralinguistic social-emotional cues, such as emotional prosody, are well-documented, much less is known about how the brain processes the social-emotional meaning carried by the language content itself. In non-autistic adults, the left superior temporal sulcus (STS) and adjacent gyrus show a social-emotional bias, responding more strongly to social-emotional content than to content describing inanimate objects. We investigated whether this bias is present in children and whether it is altered in autistic children. We recruited 78 right-handed children who underwent functional magnetic resonance imaging (fMRI) scanning while listening to sentences describing either people in emotional situations (social-emotional sentences) or non-human objects, events, or concepts (object sentences). After excluding those with excessive head motion, we analyzed data from 58 of them (37 autistic and 21 non-autistic; mean age 10 years). Across the sample as a whole, the left STS responded more strongly to social-emotional sentences than to object sentences, indicating that this social-emotional bias is already present in childhood. Importantly, this bias was reduced in autistic children compared to non-autistic controls, whereas no group difference was observed in general auditory or lexico-syntactic processing. This reduced activity in the left STS in response to social-emotional semantics may contribute to autistic children's social communication challenges.

neuroscience↗

Identification and characterization of emNagⅡ, a novel β-1,2-N-acetylglucosaminidase from Elizabethkingia meningoseptica

N-Acetylglucosamine exists in various forms and linkage patterns within organisms, playing a crucial role in numerous vital biological processes. However, research focusing on {beta}-1,2-linked N-acetylglucosamine within complex biantennary N-glycans on the cell surface remain largely unexplored. Currently, there is a lack of efficient tools and methods capable of directly modifying terminal N-acetylglucosamine on living cells. In this study, we identified a novel {beta}-N-acetylhexosaminidase from Elizabethkingia meningoseptica, which demonstrated favorable enzymatic stability within a pH range of 5-8 and at temperatures from 4 {degrees}C to 37 {degrees}C. This enzyme specifically cleaves non-reducing terminal {beta}-1,2-N-acetylglucosamine, enabling direct removal of this modification from oligosaccharides and native glycoproteins. More importantly, we demonstrate for the first time that this enzyme successfully removes {beta}-1,2-linked N-acetylglucosamine on living cell surfaces. Given its microbial origin and potential utility in living cell glycan editing, we have named it emNagII or cell-surface glycan-editing N-acetylglucosaminidase (csgeNagII). Through sequence analysis and alanine scanning mutagenesis, we identified a predicted active pocket containing the catalytic residue pair Asp317-Glu318, with Asp317 being essential for enzymatic activity. In summary, our findings provide an effective and reliable method for the targeted removal of {beta}-1,2-N-acetylglucosamine on living cell surfaces, establishing a foundation for further functional studies and practical applications.

biophysics↗

Gap-free genomes and transcriptomes uncover race-specific effectors in watermelon wilt pathogen Fusarium oxysporum f. sp. niveum

Watermelon (Citrullus lanatus L.) is one of the worlds most economically important fruit crops, yet it is susceptible to devastating diseases such as vascular wilt caused by Fusarium oxysporum f. sp. niveum (Fon), with limited effective control measures. Fon evolves rapidly in the field to overcome host resistance and global watermelon production is constantly threatened by new pathogenic races. High-quality genomic resources are key to understanding the molecular mechanisms underlying Fon virulence evolution for disease management. Here, we de novo assembled and annotated gapless genomes of three physiological races of Fon (race 1, 2, and 3), and dissected the mechanisms behind their distinctive virulence through comparative genomics and transcriptomics. Whole-genome alignments identified core and accessory chromosomes in Fon where each race carried a unique set of accessory chromosomes or regions. Comparative transcriptomics of Fon infection revealed distinctive temporal patterns of gene expression even among core gene families, particularly those related to cell wall degradation enzymes. Effectoromic prediction and comparative analysis in three gap-free genomes identified 13 race-specific effectors (RSEs) in FonR3, one (FonRSE1) of which was a critical virulence factor of FonR3 on watermelon as demonstrated via functional experiments. The gap-free genome assemblies and annotations, and the RSEs are valuable resources for studying Fon pathobiology and genome evolution, adding in the design of improved disease control strategies.

genomics↗

Climate change and the thermal performance of a high protein food source: Wolffia globosa

Wolffia globosa is a tropical duckweed native to Southeast Asia, where it is harvested for food. This aquatic plant has a fast growth rate, a high protein content, and is also a source of important nutrients. Therefore, it could play an important role in food security under climate change and population growth. We provide the first thermal performance curve for W. globosa, and use this data to understand how climate change impacts on temperature in Southeast Asia may affect production. We find that the maximum relative growth rate occurs at constant temperatures of [~]32C. We find no significant difference between growth at current mean conditions and temperatures predicted in the next 40 years according to the high emissions scenario (SSP5-8.5 scenario) in Thailand, Laos and Myanmar when temperatures are held constant. However, the thermal performance curve is best described as asymmetric, with growth rates that fall rapidly at temperatures above this optimum. As a result, when temperatures are allowed to fluctuate about the mean in a pattern similar to recent heatwave conditions in Thailand, we find significantly lower growth rates at the optimum than at current mean temperatures. This decrease is driven by a significant increase in frond death at higher temperatures. However, given the fast growth rate of this species relative to other food crops, and the mitigating impact of water on the magnitude of temperature fluctuations, it seems likely that W. globosa may more rapidly recover from extreme heat events than other crop species. Therefore, it is likely to be a suitable candidate for adapting to climate change impacts.

plant biology↗

S1PR1 Regulates Lymphatic Valve Development And Prevents Ileitis-Independent Tertiary Lymphoid Organ Formation

Lymphatic vessels function throughout the body to drain interstitial fluids. Efficient lymph flow is ensured by lymphatic valves (LVs). However, the mechanisms that regulate LV development are incompletely understood. Here, we show that the deletion of the GPCR sphingosine 1-phosphate receptor-1 (S1PR1) from lymphatic endothelial cells (LECs) results in fewer LVs. Interestingly, LVs that remained in the terminal-ileum draining lymphatic vessels were specifically dysfunctional, and tertiary lymphoid organs (TLOs) formed in this location. TLOs in the terminal ileum are associated with ileitis in humans and mice. However, mice lacking S1PR1 did not develop obvious characteristics of ileitis. Sphingosine kinases 1 and 2 (SPHK1/2) are required for the synthesis of S1P, the ligand of S1PR1. Mice that lack Sphk1/2 in LECs recapitulate the LV and TLO phenotypes of mice that lack S1PR1. Mechanistically, S1PR1 regulates shear stress signaling and the expression of the valve-regulatory molecules FOXC2 and connexin-37. Importantly, Foxc2+/- mice, a model for lymphedema-distichiasis syndrome, also develop TLOs in the terminal ileum. Thus, we have discovered S1PR1 as a previously unknown regulator of LV and TLO development. We also suggest that TLOs are a sign of subclinical inflammation that can form due to lymphatic disorders in the absence of ileitis.

developmental biology↗

The Plasmodium falciparum NCR1 membrane protein is a novel antimalarial target that exports cholesterol to maintain membrane homeostasis

Malaria is an extremely devastating parasitic infection that kills over half a million people each year. It is the leading cause of death in many developing countries, in part, due to a lack of resources and readily available therapeutics. Unfortunately, the most prevalent and deadliest causative agent of malaria, Plasmodium falciparum, has developed resistance to nearly all currently available antimalarial drugs. The P. falciparum Niemann-Pick Type C1-related (PfNCR1) transporter has been identified as a druggable target, as it is required for membrane homeostasis of the parasite. However, the structure and detailed molecular mechanism of this membrane protein are not yet available. Here we present three structures of PfNCR1 both in the absence and presence of the functional inhibitor MMV009108 at resolutions between 2.98 [A] and 3.81 [A] using single-particle cryo-electron microscopy (cryo-EM). The data suggest that PfNCR1 binds cholesterol and forms a cholesterol transport tunnel to modulate the composition of the parasite plasma membrane. Cholesterol efflux assays substantiate this as they show that PfNCR1 is an exporter capable of extruding cholesterol from the membrane. Additionally, the inhibition mechanism of MMV009108 appears to be due to a direct blockage of PfNCR1, preventing this transporter from shuttling cholesterol.

biochemistry↗

Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization

Gene therapies have the potential to treat disease by delivering therapeutic genetic cargo to disease-associated cells. One limitation to their widespread use is the lack of short regulatory sequences, or promoters, that differentially induce the expression of delivered genetic cargo in target cells, minimizing side effects in other cell types. Such cell-type-specific promoters are difficult to discover using existing methods, requiring either manual curation or access to large datasets of promoter-driven expression from both targeted and untargeted cells. Model-based optimization (MBO) has emerged as an effective method to design biological sequences in an automated manner, and has recently been used in promoter design methods. However, these methods have only been tested using large training datasets that are expensive to collect, and focus on designing promoters for markedly different cell types, overlooking the complexities associated with designing promoters for closely related cell types that share similar regulatory features. Therefore, we introduce a comprehensive framework for utilizing MBO to design promoters in a data-efficient manner, with an emphasis on discovering promoters for similar cell types. We use conservative objective models (COMs) for MBO and highlight practical considerations such as best practices for improving sequence diversity, getting estimates of model uncertainty, and choosing the optimal set of sequences for experimental validation. Using three relatively similar blood cancer cell lines (Jurkat, K562, and THP1), we show that our approach discovers many novel cell-type-specific promoters after experimentally validating the designed sequences. For K562 cells, in particular, we discover a promoter that has 75.85% higher cell-type-specificity than the best promoter from the initial dataset used to train our models.

synthetic biology↗

Time-lapse Image Super-resolution Neural Network with Reliable Confidence Evaluation for Optical Microscopy

Single image super-resolution (SISR) neural networks for optical microscopy have shown great capability to directly transform a low-resolution (LR) image into its super-resolution (SR) counterpart, enabling low-cost long-term live-cell SR imaging. However, when processing time-lapse data, current SISR models failed to exploit the important temporal dependencies between neighbor frames, often resulting in temporally inconsistent outputs. Besides, SISR models are subject to inference uncertainty that is hard to accurately quantify, therefore it is difficult to determine to what extend can we trust the inferred SR images. Here, we first build a large-scale, high-quality fluorescence microscopy dataset for the time-lapse image super-resolution (TISR) task, and conducted a comprehensive evaluation on two essential components of TISR neural networks, i.e., propagation and alignment. Second, we devised a deformable phase-space alignment (DPA) based TISR neural network (DPA-TISR), which adaptively enhances the cross-frame alignment in the phase domain and outperforms existing state-of-the-art SISR and TISR models. Third, we combined the Bayesian training scheme and Monte Carlo dropout with DPA-TISR, developing Bayesian DPA-TISR, and designed an expected calibration error (ECE)minimization framework to obtain a well-calibrated confidence map along with each output SR image, which reliably implicates potential inference errors. We demonstrate the unique characteristics of Bayesian DPA-TISR underlie the ultralong-term live-cell SR imaging capability with high spatial fidelity, superb temporal consistency, and accurate confidence quantification on a wide variety of bioprocesses.

biophysics↗

Ecological niche contributes to the persistence of the Western x Glaucous-winged Gull hybrid zone

Hybrid zones occur in nature when populations with limited reproductive barriers overlap in space. Many hybrid zones persist over time, and different models have been proposed to explain how selection can maintain hybrid zone stability. More empirical studies are needed to elucidate the role of ecological adaptation in maintaining stable hybrid zones. Here, we investigated the role of exogenous factors in maintaining a hybrid zone between western gulls (Larus occidentalis) and glaucous-winged gulls (L. glaucescens). We used ecological niche models (ENMs) and niche similarity tests to quantify and examine the ecological niches of western gulls, glaucous-winged gulls, and their hybrids. We found evidence of niche divergence between all three groups. Our results best support the bounded superiority model, providing further evidence that exogenous selection favoring hybrids may be an important factor in maintaining this stable hybrid zone.

ecology↗

Rapid turnover of centromeric DNA reveals signatures of genetic conflict in Drosophila

Centromeres reside in rapidly evolving, repeat-rich genomic regions, despite their essential function in chromosome segregation. Across organisms, centromeres are rich in selfish genetic elements such as transposable elements and satellite DNAs that can bias their transmission through meiosis. However, these elements still need to cooperate at some level and contribute to, or avoid interfering with, centromere function. To gain insight into the balance between conflict and cooperation at centromeric DNA, we take advantage of the close evolutionary relationships within the Drosophila simulans clade - D. simulans, D. sechellia, and D. mauritiana - and their relative, D. melanogaster. Using chromatin profiling combined with high resolution fluorescence in situ hybridization on stretched DNA, we characterize all centromeres across these species. We discovered dramatic centromere reorganization involving recurrent shifts between retroelements and satellite DNAs over short evolutionary timescales. We also reveal the recent origin (<240 Kya) of telocentric chromosomes in D. sechellia, where the X and 4th centromeres now sit on telomere-specific retroelements. Finally, the Y chromosome centromeres, which are the only chromosomes that do not experience female meiosis, do not show dynamic cycling between satDNA and TEs. The patterns of rapid centromere turnover in these species are consistent with genetic conflicts in the female germline and have implications for centromeric DNA function and karyotype evolution. Regardless of the evolutionary forces driving this turnover, the rapid reorganization of centromeric sequences over short evolutionary timescales highlights their potential as hotspots for evolutionary innovation.

evolutionary biology↗

Brain Templates for Chinese Babies from Newborn to Three Months of Age

The infant brain develops rapidly and this area of research has great clinical implications. Neurodevelopmental disorders such as autism and developmental delay have their origins, potentially, in abnormal early brain maturation. Searching for potential early neural markers requires a priori knowledge about infant brain development and anatomy. One of the most common methods of characterizing brain features requires normalization of individual images into a standard stereotactic space and conduct of group-based analyses in this space. A population representative brain template is critical for these population-based studies. Little research is available on constructing brain templates for typical developing Chinese infants. In the present work, a total of 112 babies from 6 to 98 days of age were included with high resolution structural magnetic resonance imaging scans. T1-weighted and T2-weighted templates were constructed using an unbiased registration approach for babies from newborn to 3 months of age. Age-specific templates were also estimated for babies aged at 0, 1, 2 and 3 months old. Then we conducted a series of evaluations and statistical analyses over whole tissue segmentations and brain parcellations. Compared to the use of population mismatched templates, using our established templates resulted in lower deformation energy to transform individual images into the template space and produced a smaller registration error, i.e., smaller standard deviation of the registered images. Significant volumetric growth was observed across total brain tissues and most of the brain regions within the first three months of age. The total brain tissues exhibited larger volumes in baby boys compared to baby girls. To the best of our knowledge, this is the first study focusing on the construction of Chinese infant brain templates. These templates can be used for investigating birth related conditions such as preterm birth, detecting neural biomarkers for neurological and neurodevelopmental disorders in Chinese populations, and exploring genetic and cultural effects on the brain.

neuroscience↗

PROX1 inhibits PDGF-B expression to prevent myxomatous degeneration of heart valves

BackgroundCardiac valve disease (CVD) is observed in 2.5% of the general population and 10% of the elderly people. Effective pharmacological treatments are currently not available, and patients with severe CVD require surgery. PROX1 and FOXC2 are transcription factors that are required for the development of lymphatic and venous valves. We found that PROX1 and FOXC2 are expressed in a subset of valvular endothelial cells (VECs) that are located on the downstream (fibrosa) side of cardiac valves. Whether PROX1 and FOXC2 regulate cardiac valve development and disease is not known. MethodsWe used histology, electron microscopy and echocardiography to investigate the structure and functioning of heart valves from Prox1{Delta}VEC mice in which Prox1 was conditionally deleted from VECs. Isolated valve endothelial cells and valve interstitial cells were used to identify the molecular mechanisms in vitro, which were tested in vivo by RNAScope, additional mouse models and pharmacological approaches. The significance of our findings was tested by evaluation of human samples of mitral valve prolapse (MVP) and aortic valve insufficiency. ResultsHistological analysis revealed that the aortic and mitral valves of Prox1{Delta}VEC mice become progressively thick and myxomatous. Echocardiography revealed that the aortic valves of Prox1{Delta}VEC mice are stenotic. FOXC2 was downregulated and platelet-derived growth factor-B (PDGF-B) was upregulated in the VECs of Prox1{Delta}VEC mice. Conditional knockdown of FOXC2 and conditional overexpression of PDGF-B in VECs recapitulated the phenotype of Prox1{Delta}VEC mice. PDGF-B was also increased in mice lacking FOXC2 and in human MVP and insufficient aortic valve samples. Pharmacological inhibition of PDGF-B signaling with imatinib partially ameliorated the valve defects of Prox1{Delta}VEC mice. ConclusionPROX1 antagonizes PDGF-B signaling partially via FOXC2 to maintain the extracellular matrix composition and prevent myxomatous degeneration of cardiac valves. Novelty and SignificanceWhat Is Known? O_LIThe transcription factors PROX1 and FOXC2 are critical regulators of lymphatic and venous valve development. C_LIO_LIPROX1 and FOXC2 are expressed in the downstream valvular endothelial cells of heart valves. C_LI What Is New? O_LIDeletion of Prox1 from the valvular endothelial cells of mice results in enlarged and myxomatous aortic and mitral valves. Aortic valves of the mutant (Prox1{Delta}VEC) mice were stenotic. C_LIO_LIFOXC2 is partially responsible for the phenotype of Prox1{Delta}VEC mice. C_LIO_LIPROX1 and FOXC2 inhibit the expression of the cytokine PDGF-B in heart valves. C_LIO_LIHyperactivation of PDGF-B signaling results in aortic and mitral valve thickening. C_LIO_LIInhibition of PDGF-B signaling ameliorates aortic valve stenosis in Prox1{Delta}VEC mice. C_LIO_LIPDGFB is overexpressed and PROX1 is downregulated in human mitral valve prolapse (MVP) samples. C_LI Our findings suggest that PROX1 is an inhibitor of myxomatous valve disease that afflicts ~10% of the elderly population. We have also identified PDGF-B as a potential target for treating myxomatous valve disease.

developmental biology↗

A Quadrivalent mRNA immunization elicits potent immune responses against vaccinia and monkeypox viral antigens - a step closer to a broad orthopoxvirus vaccine

The global outbreak of the 2022 monkeypox virus infection of human raised the public health concerns of the threat of human-to-human transmission of zoonotic diseases. Given the evidence that other orthopoxviruses including cowpox and camelpox were also reported infectious to human, and that the reemerging risk of smallpox as a bioterrorist or accidental laboratory escape exists, there is an urgent need to develop a poxvirus vaccine with a broad protection of orthopoxviruses to stockpile for future emergency. Extensive studies of vaccinia virus (VACV) suggested that multiple VACV antigens, such as A27, L1, A33 and B5, showed high level similarity in terms of immunogenicity to their respective homologous antigens of other orthopoxviruses. These findings paved the ground for VACV antigens to be used as potential vaccine targets for development of a universal poxvirus vaccine. In this study, we construct a novel poxvirus vaccine candidate, mRNA-ALAB-LNP, encoding four vaccinia viral antigens A27, L1, A33 and B5. Strong anti-L1-specific antibody and moderate anti-A33-, anti-A27- and anti-B5-specific antibody responses were induced in mice after a single immunization. The antibody responses to all four antigens were significantly boosted after the second shot with all IgG titers >5 logs and highest being anti-A33 IgG. The high level of binding antibodies showed potent neutralizing capability against vaccinia virus. Specific IFN-{gamma} responses were detected to all four antigens with the highest cellular response being that induced by the same antigen, A33. When evaluating the cross reactivity, equivalent or better serum IgG responses were seen in responses to corresponding monkeypox antigens A35, M1, A29 and B6, in comparison to vaccinia antigens. Apparently, the mRNA vaccine encoding four vaccinia antigens induced immunity not only to vaccinia virus but also to monkeypox, suggesting that the mRNA-ALAB may be a candidate for potential vaccine development against infection of monkeypox, smallpox and possibly other orthopoxviruses.

immunology↗

Pretraining strategies for effective promoter-driven gene expression prediction

The ability to deliver genetic cargo to human cells is enabling rapid progress in molecular medicine, but designing this cargo for precise expression in specific cell types is a major challenge. Expression is driven by regulatory DNA sequences within short synthetic promoters, but relatively few of these promoters are cell-type-specific. The ability to design cell-type-specific promoters using model-based optimization would be impactful for research and therapeutic applications. However, models of expression from short synthetic promoters (promoter-driven expression) are lacking for most cell types due to insufficient training data in those cell types. Although there are many large datasets of both endogenous expression and promoter-driven expression in other cell types, which provide information that could be used for transfer learning, transfer strategies remain largely unexplored for predicting promoter-driven expression. Here, we propose a variety of pretraining tasks, transfer strategies, and model architectures for modelling promoter-driven expression. To thoroughly evaluate various methods, we propose two benchmarks that reflect data-constrained and large dataset settings. In the data-constrained setting, we find that pretraining followed by transfer learning is highly effective, improving performance by 24 - 27%. In the large dataset setting, transfer learning leads to more modest gains, improving performance by up to 2%. We also propose the best architecture to model promoter-driven expression when training from scratch. The methods we identify are broadly applicable for modelling promoter-driven expression in understudied cell types, and our findings will guide the choice of models that are best suited to designing promoters for gene delivery applications using model-based optimization. Our code and data are available at https://github.com/anikethjr/promoter_models.

genomics↗