Biology subjects

Dong, D.

Publications and source records attributed to Dong, D..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Cryo-ET of IgG bivalent binding on SARS-CoV-2 provides structural basis for antibody avidity

The bivalent nature of IgG enhances its neutralization potency against enveloped viruses; however, on-virion structural details of IgG bivalent binding with antigens remain elusive. Here we used cryo-ET to investigate how two potent IgGs P17 and S309 interact with S-trimers on the SARS-CoV-2 surface. We found that these antibodies exploit the mobility of S-trimers to form diverse bivalent binding patterns. P17 stabilizes S-trimers in a one-RBD-up conformation and gathers S-trimer into linear multimers within minutes, whereas S309 primarily forms circular S-trimer assemblies that extend into lattice-like structures. Additionally, both IgGs can facilitate inter-virion coupling through bivalent binding of opposing S-trimers. These findings provide a structural basis for understanding IgG avidity and offer insights for antibody engineering and vaccine design.

biophysics↗

bioRxiv2025

Amoebicidal Action of Licorice-Derived Compounds: Mechanisms and Effects Against Acanthamoeba castellanii

BackgroundAcanthamoeba is a widely distributed unicellular eukaryotic organism, causing Acanthamoeba keratitis, granulomatous amoebic encephalitis and chronic infectious ulcers. At present, there are no effective drugs available for treating Acanthamoeba infections, highlighting the urgent need for the development of novel anti-Acanthamoeba therapies. PurposeThis study aims to investigate the inhibitory effect of licorice on A. castellanii trophozoites growth and elucidate its molecular mechanisms. MethodsThe effect of licorice on trophozoite viability was assessed employing the CellTiter-Glo assay, while the viability of cells was evaluated via CCK-8 assay. Apoptotic cells were identified through Hoechst 33,342/PI double staining and caspase-3 detection. ROS level was measured via flow cytometry utilising DCFH-DA. Mitochondrial dysfunction was analysed with JC-1 and mtSOX Deep Red staining. RNA sequencing and RT-qPCR analysis were conducted to investigate the potential anti-Acanthamoeba mechanism. ResultsOur results showed that isoliquiritigenin (ISL) and glabridin (GLA) effectively inhibited A. castellaniitrophozoite growth in vitro dose-and time-dependently. ISL and GLA induced several apoptosis features, including Hoechst/PI-positive staining and increased caspase-3 expression. ISL and GLA increased intracellular ROS production, decreased SOD expression and mitochondrial membrane potential and enhanced mitochondrial ROS generation. ISL and GLA effectively prevent host cells from A. castellanii trophozoites invasion. RNA sequencing indicated that ISL may modulate the NAD+ metabolic process, while GLA may influence the sterol metabolic process. ISL reduced the NAD+/NADH ratio, while GLA lowered the levels of 7-dehydrocholesterol in A. castellanii trophozoites. ConclusionThese findings suggest that ISL and GLA may serve as the active components of licorice for treating A. castellanii trophozoites. Our findings suggest that ISL suppresses trophozoites by regulating NAD+ metabolism, while GLA inhibits trophozoites through the regulation of sterol metabolism. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/638758v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1e3ec1borg.highwire.dtl.DTLVardef@a212d2org.highwire.dtl.DTLVardef@81b710org.highwire.dtl.DTLVardef@19b003_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2024

Molecular basis of Ad5-nCoV Vaccine-Induced Immunogenicity

In response to coronavirus disease 2019 (COVID-19), numerous vaccines have been developed to protect against SARS-CoV-2 infection. Ad5-nCoV (Convidecia) is a vaccine listed for emergency use by the WHO and has been administrated to millions of people globally. It comprises a series of human adenovirus 5 (Ad5) replication-incompetent vectored vaccines that transduce the spike protein (S) gene of various SARS-CoV-2 strains. Despite promising clinical data demonstrating its safety and effectiveness, the underlying molecular mechanism of its high immunogenicity and incidence of adverse reactions remains less understood. Here we combined cryo-ET, fluorescence microscopy and mass spectrometry to characterize the in situ structures, density and site-specific glycan compositions of the Ad5-nCoV_Wu and Ad5-nCoV_O vaccine-induced S antigens, which encode the unmodified SARS-CoV-2 Wuhan-Hu-1 S gene and optimized Omicron S gene, respectively. We found that the vaccine-induced S are structurally intact, antigenic and densely distributed on the cell membrane. Compared to Ad5-nCoV_Wu induced S, the Ad5-nCoV_O induced S demonstrate significantly better stability and is less likely to induce syncytia among inoculated cells. Our work demonstrated that Ad5-nCoV is a prominent platform for antigen induction and cryo-ET can be a useful technique for vaccine characterization and development.

biophysics↗

bioRxiv2024

SlSAURs, targeted by SlSTOP1, inhibit SlPP2C.Ds to modulate H+-ATPase and tomato root elongation under aluminum stress

Aluminum (Al) stress, a prevalent constraint in acid soils, is known to inhibit plant growth by inhibiting root elongation through restricted cell expansion. The molecular mechanisms of Al-induced root inhibition, however, are not fully understood. This study aimed to elucidate the role of SlSAUR (Small auxin up-regulated RNA) proteins, which were downstream of the key Al stress-responsive transcription factor SlSTOP1 and its enhancer SlSZP1, in modulating root elongation under Al stress in tomato (Solanum lycopersicum). Our findings demonstrated that tomato lines with SlSAURs knockout exhibited shorter root lengths when subjected to Al stress. Further investigation into the underlying mechanisms revealed that SlSAURs interact with D-clade type 2C protein phosphatases, specifically SlPP2C.Ds. This interaction was pivotal as it suppresses the phosphatase activity, leading to the derepression of SlPP2C.Ds inhibitory effect on H+-ATPase. Consequently, this promoted cell expansion and root elongation under Al stress conditions. Our research significantly contributes to the current understanding of the molecular mechanisms by which Al ions modulate root elongation. The discovery of the SlSAUR-SlPP2C.D interaction and its impact on H+-ATPase activity provides a novel perspective on the adaptive strategies employed by plants to cope with Al toxicity. This knowledge may pave the way for the development of tomato cultivars with enhanced Al stress tolerance, thereby improving crop productivity in acid soils.

plant biology↗

bioRxiv2024

Immune-profiling of T helper 1 (Th1), Th2 and Th17 signatures in murine splenocytes by targeting intracellular cytokines

Functional cytokines shape both innate and adaptive immune responses in the host after infection or immunization. Deep immunophenotyping of the key functional cytokine signatures associated with T cells in murine lymphoid tissue, especially in the spleen, is challenging. Using spectral flow cytometry, we developed a 17-parameter panel to profile major immune cell subsets along with T cells, memory phenotypes and functional cytokines in murine splenocytes in steady state as well as in stimulated conditions. This panel dissects the memory T cell compartment via CD62L and CD44 expression after mitogen stimulation. To profile T helper (Th) cells distribution after mitogen stimulation, established Th1 markers IFN{gamma}, TNF and IL-2; Th2 markers IL-4/5 and the Th17 marker, IL-17, are included. This optimized multicolor spectral flow panel allows a detailed immune profiling of functional cytokines in the murine T cell compartment and might be useful for exploratory analysis of how these functional cytokines shape host immunity after infection or vaccination. Our panel could be easily modified, if researchers wish to tailor the panel to their specific needs.

immunology↗

bioRxiv2024

Unusual lineage plasticity revealed by YY1 knockout in pro-B cells

During B cell development, cells progress through multiple developmental stages with the pro-B cell stage defining commitment to the B cell lineage. YY1 is a ubiquitous transcription factor that is capable of both activation and repression functions. We find here that knockout of YY1 at the pro-B cell stage eliminates B lineage commitment. YY1 knockout pro-B cells can generate T lineage cells in vitro using the OP9- DL4 feeder system, as well as in vivo after injection into sub-lethally irradiated Rag1-/- mice. These T lineage-like cells lose their B lineage transcript profile and gain a T cell lineage profile. Single cell-RNA-seq experiments showed that as YY1 knockout pro-B cells transition into T lineage cells, various cell clusters adopt transcript profiles representing a multiplicity of hematopoietic lineages indicating unusual lineage plasticity. Given the ubiquitous nature of YY1 and its dual activation and repression functions, YY1 likely regulates commitment in multiple cell lineages.

developmental biology↗

bioRxiv2023

Melatonin serves as a novel treatment in cystic fibrosis and inhibits cystic fibrosis through TGF-β1/Smad and EMT

BackgroundMelatonin (MEL) is an indole amine molecule primarily produced in the pineal gland. Melatonin has been shown in numerous studies to have anti-fibrosis characteristics in the kidney, liver, and other organs. However, it is still unclear how melatonin works in bladder fibrosis. We explored how melatonin affected animals with bladder fibrosis and its underlying mechanisms. Materials and MethodsMEL was used to treat human bladder smooth muscle cells (HBdSMCs) after they were stimulated with TGF-{beta}1 in vitro. Proteomic analysis and then bioinformatic analysis based on the alterations in these proteins were then performed on HBdSMCs from the different processing methods. To construct an in vivo bladder fibrosis model, we injected protamine sulfate (PS) and lipopolysaccharide (LPS) twice a week into the rat bladder for six weeks. After two weeks of PS/LPS treatment, the treatment group was treated with MEL (20mg/kg/d) for 4 weeks. Finally, we detected the expression of fibrosis markers from different perspectives. The TGF-{beta}1/Smad pathway, and EMT in cell and bladder tissues were also identified. Further proteomic analysis was also performed. ResultsIn the in vitro experiment, we found that TGF-{beta}1 treatment enhanced the fibrosis markers Collagen III and -SMA of HBdSMCs. E-cadherin expression decreased while TGF-{beta}1/Smad pathway was activated. Vimentin and N-cadherin expressions were also elevated at the same time. Similar findings were observed in the LPS group. After MEL treatment, the expression of collagen III and -SMA decreased, and the expression of E-cadherin increased, while the expression of Vimentin and N-cadherin also decreased. CCN1 and SQLE may be the important proteins in the development of bladder fibrosis, according to quantitative proteomics analysis. MEL can decrease their expressions which leadis to relief of bladder fibrosis. Bioinformatics analysis shows that the extracellular space structure related to metabolic pathways, actin filament binding, and stress fibers can serve as a pivotal focus in the management of fibrosis. ConclusionMelatonin attenuates bladder fibrosis by blocking the TGF-{beta}1/Smad pathway and EMT. CCN1 appears to be a possible therapeutic target for bladder fibrosis.

pharmacology and toxicology↗

bioRxiv2023

Capturing dynamic fear experiences in naturalistic contexts: An ecologically valid fMRI signature integrating brain activation and connectivity

Enhancing our understanding of how the brain constructs conscious emotional experiences within dynamic real-life contexts necessitates ecologically valid neural models. Here, we present evidence delineating the constraints of current fMRI activation models in capturing naturalistic fear dynamics. To address this challenge, we fuse naturalistic fMRI with predictive modeling techniques to develop an ecologically valid fear signature that integrates activation and connectivity profiles, allowing for accurate prediction of subjective fear experience under highly dynamic close-to-real-life conditions. This signature arises from insights into the crucial role of distributed brain networks and their interactions in emotion modulation, and the potential of network-level information to improve predictions in dynamic contexts. Across a series of investigations, we demonstrate that this signature predicts stable and dynamic fear experiences across naturalistic scenarios with heightened sensitivity and specificity, surpassing traditional activation- and connectivity-based signatures. Notably, the integration of affective connectivity profiles enables accurate real-time predictions of fear fluctuations in naturalistic settings. Additionally, we unearth a distributed yet redundant brain-wide representation of fear experiences. Subjective fear is encoded not only by distributed cortical and subcortical regions but also by their interactions, with no single brain system conveying substantial unique information. Our study establishes a comprehensive and ecologically valid functional brain architecture for subjective fear in dynamic environments and bridges the gap between experimental neuroscience and real-life emotional experience.

neuroscience↗

bioRxiv2023

Mechanical Force Imprints Neutrophils to Orchestrate Pulmonary Homeostasis

Neutrophils are the most abundant immune cells that constantly patrol and marginate into the vascular beds of multiple tissues to support immune homeostasis. The extent to which neutrophils undergo adaptation in response to diverse tissue microenvironments, and the resultant biological implications of such adaptation, remains unclear. Here, we performed intravital imaging, transcriptional, and functional analyses of neutrophils in different tissues. Our findings showed that the lung harbors a transcriptionally distinct neutrophil population with unique migratory behaviors. These resident-like neutrophils guarantee a rapid response upon infection and play an important role in maintaining the homeostasis of pulmonary vasculature. Notably, pulmonary neutrophils are imprinted by mechanical cues via the mechanosensitive ion channel Piezo1. Mice with conditional Piezo1 ablation lost lung-specific neutrophil signatures, and showed impaired lung capillary angiogenesis. Furthermore, these mice displayed increased susceptibility to airway infection. Collectively, these data identify mechanical sensing via Piezo1 as an important driver for tissue-specialized neutrophils that support pulmonary homeostasis.

immunology↗

bioRxiv2023

Pan-tissue Transcriptome Analysis Reveals Sex-dimorphic Human Aging

Complex diseases often exhibit sex-dimorphism in morbidity and prognosis, many of which are age-related. However, the underlying mechanisms of sex-dimorphic aging remain foggy, with limited studies across multiple tissues. We systematically analyzed [~]17,000 transcriptomes from 35 human tissues to quantitatively evaluate the individual and combined contributions of sex and age to transcriptomic variations. We discovered extensive sex-dimorphisms during aging with distinct patterns of change in gene expression and alternative splicing (AS). Intriguingly, the male-biased age-associated AS events have a stronger association with Alzheimers disease, and the female-biased events are often regulated by several sex-biased splicing factors that may be controlled by estrogen receptors. Breakpoint analysis showed that sex-dimorphic aging rates are significantly associated with decline of sex hormones, with males having a larger and earlier transcriptome change. Collectively, this study uncovered an essential role of sex during aging at the molecular and multi-tissue levels, providing insight into sex-dimorphic regulatory patterns.

bioinformatics↗

bioRxiv2023

Interleukin-16/STAT6 recruits CBP/p300 to upregulate TIMP-3 and promote atherosclerotic plaque stability

BackgroundAtherosclerotic plaque rupture increases the risk of ischemic heart disease and stroke and commonly causes sudden death. High levels of circulating or intraplaque interleukin 16 (IL-16) are clinically associated with a reduced incidence of cardiovascular events. Here, we investigated the effects of IL-16 on plaque phenotypic modification and identified the molecules involved in smooth muscle cells (SMCs). MethodsWe deleted IL-16 in ApoE-/- mice to generate IL16-/-ApoE-/- mice, and the double mutant was used for plaque phenotype analysis after a 24-week high-fat diet. RNA sequencing was performed to identify the changes in cellular processes and molecule expression in response to IL-16 defects. Affinity purification-mass spectrometry was used to identify the STAT6 binding protein. Bone marrow transplantation was used to investigate the effects of hematopoietic IL-16 deficiency or reconstitution on plaque stability. ResultsIL-16 deficiency reduced collagen deposition and increased the necrotic core area in the plaques of the brachiocephalic artery and aortic root lesions. Intraplaque TIMP-3 levels were found to be decreased in association with an increase in the proteolytic activity of MMPsinIL16-/-ApoE-/- mice. Next, we demonstrated that IL-16 activates the CD4/JAK2/STAT6 pathway and that STAT6 directly binds the TIMP-3 promoter in SMCs. Furthermore, IL-16 treatment increased the interaction of cAMP-response element binding protein (CBP)/p300 with STAT6, which promoted STAT6 acetylation and increased histone H3 acetylation in the TIMP-3 promoter. Inhibition of CBP/p300 resulted in decreased acetylation of STAT6 and TIMP-3 promoter histone H3 and TIMP-3 expression, suggesting a requirement for CBP/p300 as a coactivator. Finally, we found that hematopoietic-derived IL-16 from ApoE-/- mice or overexpression of TIMP-3 successfully attenuated plaque instability in IL16-/-ApoE-/- mice. ConclusionsIL-6 upregulates TIMP-3 expression and remodels the intraplaque extracellular matrix toward a stable phenotype, suggesting IL-16 as a potential target for intervening in atherosclerosis at later stages.

pathology↗

bioRxiv2023

Distance-dependent reconfiguration of hubs in Alzheimer's disease:a cross-tissue functional network study

The hubs of the intra-grey matter (GM) network were sensitive to anatomical distance and susceptible to neuropathological damage. However, few studies examined the hubs of cross-tissue distance-dependent networks and their changes in Alzheimers disease (AD). Using resting-state fMRI data of 30 AD patients and 37 normal older adults (NC), we constructed the cross-tissue networks based on functional connectivity (FC) between GM and white matter (WM) voxels. In the full-ranged and distance-dependent networks (characterized by gradually increased Euclidean distances between GM and WM voxels), their hubs were identified with weight degree metrics (frWD and ddWD). We compared these WD metrics between AD and NC; using the resultant abnormal WDs as the seeds, we performed seed-based FC analysis. With increasing distance, the GM hubs of distance-dependent networks moved from the medial to lateral cortices, and the WM hubs spread from the projection fibers to longitudinal fascicles. Abnormal ddWD metrics in AD were primarily located in the hubs of distance-dependent networks around 20-100mm. Decreased ddWDs were located in the left corona radiation (CR), which had decreased FCs with the executive networks GM regions in AD. Increased ddWDs were located in the posterior thalamic radiation (PTR) and the temporal-parietal-occipital junction (TPO), and their FCs were larger in AD. Increased ddWDs were shown in the sagittal striatum, which had larger FCs with the salience networks GM regions in AD. The reconfiguration of cross-tissue distance-dependent networks possibly reflected the disruption in the neural circuit of executive function and the compensatory changes in the neural circuits of visuospatial and social-emotional functions in AD.

neuroscience↗

bioRxiv2023

FAN, the homolog of mammalian Apoptosis Antagonizing Transcription Factor AATF/Che-1 protein, is involved in safeguarding genome stability through the ATR induced pathway in Arabidopsis

Cellular DNA can be damaged by endogenous or exogenous genotoxins. In plants, reduced genome stability can have a detrimental effect on development. Here, we show the identification of the fan mutant from an ethyl-methanesulfonate (EMS) mutagenized Arabidopsis Col-0 population on the basis of its short root and small leaf phenotype. The causative mutation was identified as a G-to-A transition at the border of the eighth intron and ninth exon of the At5G61330 gene, resulting in a mis-spliced mRNA transcript. FAN is a homolog of the mammalian AATF/Che-1 protein consisting of conserved AATF/Che-1 and TRAUB domains in Arabidopsis. In the fan mutant, under normal conditions, we detected DNA damage and cell death response at the root tip, while hypersensitivity to the exogenously applied hydroxyurea (HU) compared to Col-0, suggesting that FAN plays a role in the DNA damage response (DDR). Furthermore, our results showed that FAN is involved in DDR pathway regulated by ATM/RAD53-RELATED (ATR). Taken together, these suggest that FAN is required for meristem maintenance and the DNA damage response.

plant biology↗

bioRxiv2023

Combined CRISPR and proteomics screening reveal a cohesin-CTCF-bound allele contributing to increased expression of RUVBL1 and prostate cancer progression

Genome-wide association studies along with expression quantitative trait loci (eQTL) mapping have identified hundreds of single nucleotide polymorphisms (SNPs) and their target genes in prostate cancer (PCa), yet functional characterization of these risk loci remains challenging. To screen for potential regulatory SNPs, we designed a CRISPRi library containing 9133 guide RNAs (gRNAs) to target 2,166 candidate SNP sites implicated in PCa and identified 117 SNPs that could regulate 90 genes for PCa cell growth advantage. Among these, rs60464856 was covered by multiple gRNAs significantly depleted in the screening (FDR<0.05). Pooled SNP association analysis in the PRACTICAL and FinnGen cohorts showed significantly higher PCa risk for the rs60464856 G allele (pvalue=1.2E-16 and 3.2E-7). Subsequent eQTL analysis revealed that the G allele is associated with increased RUVBL1 expression in multiple datasets. Further CRISPRi and xCas9 base editing proved the rs60464856 G allele leading to an elevated RUVBL1 expression. Furthermore, SILAC-based proteomic analysis demonstrated allelic binding of cohesin subunits at the rs60464856 region, where HiC dataset showed consistent chromatin interactions in prostate cell lines. RUVBL1 depletion inhibited PCa cell proliferation and tumor growth in xenograft mouse model. Gene set enrichment analysis suggested an association of RUVBL1 expression with cell-cycle-related pathways. An increased expression of RUVBL1 and activations of cell-cycle pathways were correlated with poor PCa survival in TCGA datasets. Together, our CRISPRi screening prioritized about one hundred regulatory SNPs essential for prostate cell proliferation. In combination with proteomics and functional studies, we characterized the mechanistic role of rs60464856 and RUVBL1 in PCa progression.

genetics↗

bioRxiv2022

Emerging variants of SARS-CoV-2 NSP10 highlight strong functional conservation of its binding to two non-structural proteins, NSP14 and NSP16

The coronavirus SARS-CoV-2 protects its RNA from being recognized by host immune responses by methylation of its 5 end, also known as capping. This process is carried out by two enzymes, non-structural protein 16 (NSP16) containing 2-O-methyltransferase and NSP14 through its N7 methyltransferase activity, which are essential for the replication of the viral genome as well as evading the hosts innate immunity. NSP10 acts as a crucial cofactor and stimulator of NSP14 and NSP16. To further understand the role of NSP10, we carried out a comprehensive analysis of >13 million globally collected whole-genome sequences (WGS) of SARS-CoV-2 obtained from the Global Initiative Sharing All Influenza Data (GISAID) and compared it with the reference genome Wuhan/WIV04/2019 to identify all currently known variants in NSP10. T12I, T102I, and A104V in NSP10 have been identified as the three most frequent variants and characterized using X-ray crystallography, biophysical assays and enhanced sampling simulations. In contrast to other proteins such as spike and NSP6, NSP10 is significantly less prone to mutation due to its crucial role in replication. The functional effects of the variants were examined for their impact on the binding affinity and stability of both NSP14-NSP10 and NSP16-NSP10 complexes. These results highlight the limited changes induced by variant evolution in NSP10 and reflect on the critical roles NSP10 plays during the SARS-CoV-2 life cycle. These results also indicate that there is limited capacity for the virus to overcome inhibitors targeting NSP10 via the generation of variants in inhibitor binding pockets. Significance StatementThe SARS-CoV-2 proteins have constantly been evolving. These variants assist the virus to survive, adapt and evade the host immune responses. While the main focus has been on structural proteins like Spike, there is very limited structural and functional information on the effects of emerging mutations on other essential non-structural viral proteins. One such protein is NSP10, an essential cofactor for NSP14 and NSP16. This study demonstrates that NSP10 is more resistant to genetic variations than other SARS-CoV-2 non-structural proteins and that the presence of mutations conserve structural and dynamic changes in NSP10. The effects of naturally occurring mutations reflect the evolutionary relationship between structurally conserved essential cofactors, their function and the role they play in the survival of the virus.

biophysics↗

bioRxiv2022

Reduced SARS-CoV-2 mRNA vaccine immunogenicity and protection in mice with diet-induced obesity and insulin resistance.

BackgroundObesity and Type 2 Diabetes Mellitus (T2DM) are associated with an increased risk of severe outcomes from infectious diseases, including COVID-19. These conditions are also associated with distinct responses to immunization, including an impaired response to widely used SARS-CoV-2 mRNA vaccines. ObjectiveTo establish a connection between reduced immunization efficacy via modeling the effects of metabolic diseases on vaccine immunogenicity that is essential for the development of more effective vaccines for this distinct vulnerable population. MethodsWe utilized a murine model of diet-induced obesity and insulin resistance to model the effects of comorbid T2DM and obesity on vaccine immunogenicity and protection. ResultsMice fed a high-fat diet (HFD) developed obesity, hyperinsulinemia, and glucose intolerance. Relative to mice fed a normal diet (ND), HFD mice vaccinated with a SARS-CoV-2 mRNA vaccine exhibited significantly lower anti-spike IgG titers, predominantly in the IgG2c subclass, associated with a lower type 1 response, along with a 3.83-fold decrease in neutralizing titers. Furthermore, enhanced vaccine-induced spike-specific CD8+ T cell activation and protection from lung infection against SARS-CoV-2 challenge were seen only in ND mice but not in HFD mice. ConclusionWe demonstrate impaired immunity following SARS-CoV-2 mRNA immunization in a murine model of comorbid T2DM and obesity, supporting the need for further research into the basis for impaired anti-SARS-CoV-2 immunity in T2DM and investigation of novel approaches to enhance vaccine immunogenicity among those with metabolic diseases. Capsule summaryObesity and type 2 diabetes impair SARS-CoV-2 mRNA vaccine efficacy in a murine model.

immunology↗

bioRxiv2022

Self-Supervised Maize Kernel Classification and Segmentation for Embryo Identification

Computer vision and deep learning (DL) techniques have succeeded in a wide range of diverse fields. Recently, these techniques have been successfully deployed in plant science applications to address food security, productivity, and environmental sustainability problems for a growing global population. However, training these DL models often necessitates the large-scale manual annotation of data which frequently becomes a tedious and time-and-resource-intensive process. Recent advances in self-supervised learning (SSL) methods have proven instrumental in overcoming these obstacles, using purely unlabeled datasets to pre-train DL models. Here, we implement the popular self-supervised contrastive learning methods of NNCLR (Nearest neighbor Contrastive Learning of visual Representations) and SimCLR (Simple framework for Contrastive Learning of visual Representations) for the classification of spatial orientation and segmentation of embryos of maize kernels. Maize kernels are imaged using a commercial high-throughput imaging system. This image data is often used in multiple downstream applications across both production and breeding applications, for instance, sorting for oil content based on segmenting and quantifying the scutellums size and for classifying haploid and diploid kernels. We show that in both classification and segmentation problems, SSL techniques outperform their purely supervised transfer learning-based counterparts and are significantly more annotation efficient. Additionally, we show that a single SSL pre-trained model can be efficiently finetuned for both classification and segmentation, indicating good transferability across multiple downstream applications. Segmentation models with SSL-pretrained backbones produce DICE similarity coefficients of 0.81, higher than the 0.78 and 0.73 of those with ImageNet-pretrained and randomly initialized backbones, respectively. We observe that finetuning classification and segmentation models on as little as 1% annotation produces competitive results. These results show SSL provides a meaningful step forward in data efficiency with agricultural deep learning and computer vision.

plant biology↗

bioRxiv2022

SARS-CoV-2 mutations affect proteasome processing to alter CD8+ T cell responses

Viral CD8+ epitopes are generated by the cellular turnover of viral proteins, predominantly by the proteasome. Mutations located within viral epitopes can result in escape from memory T cells but the contribution of mutations in flanking regions of epitopes in SARS-CoV-2 has not been investigated. Focusing on two of the most dominant SARS-CoV-2 nucleoprotein CD8+ epitopes, we identified mutations in epitope flanking regions and investigated the contribution of these mutations to antigen processing and T cell activation using SARS-CoV-2 nucleoprotein transduced B cell lines and in vitro proteasomal processing of peptides. We found that decreased NP9-17-B*27:05 CD8+ T cell responses to the NP-Q7K mutation correlated with lower epitope surface expression, likely due to a lack of efficient epitope production by the proteasome, suggesting immune escape caused by this mutation. In contrast, NP-P6L and NP-D103N/Y mutations flanking the NP9-17-B*27:05 and NP105-113-B*07:02 epitopes, respectively, increased CD8+ T cell responses associated with enhanced epitope production by the proteasome. Our results provide evidence that SARS-CoV-2 mutations outside the epitope could have a significant impact on antigen processing and presentation, thereby contributing to escape from immunodominant T cell responses. Alternatively, mutations could enhance antigen processing and efficacy of T cell recognition, opening new avenues for improving future vaccine designs. One Sentence SummaryNatural mutations in the flanking regions of known immunodominant SARS-CoV-2 nucleoprotein epitopes can decrease CD8+ T cell responses leading to partial escape.

immunology↗