Biology subjects

Rao, P.

Publications and source records attributed to Rao, P..

At least 19 recordsLinked to original sources

bioRxiv2026

Genetic drivers of protein changes over time: Findings, considerations, and approaches in TOPMed cohorts and UK Biobank

Age is a major risk factor for many diseases, but the biological processes driving aging are heterogeneous across individuals. Efforts to untangle differences between chronological and biological age have focused on identifying age-associated markers, such as omics clocks. Many omics features, including proteins, are strongly associated with age, and genetics contribute to variance in these measures. However, few studies have identified genetic drivers of interindividual variability in omics changes over time. Using longitudinal proteomics data (Olink 3k) from the Multi-Ethnic Study of Atherosclerosis (MESA), we calculated a protein slope for each individual (n=2,007) and protein (n=2,737) across 3 visits spanning 14-18 years, then conducted a genome-wide analysis for each slope, both with and without adjusting for baseline protein level. Subsets in UK Biobank (UKB; n=948) and CARDIA (n=1,328) with longitudinal proteomics data were used for replication. We considered additional methods for modeling of protein change and variability, including linear mixed models, SNP-by-age interactions, and variance quantitative trait loci. Without baseline adjustment, only 19 proteins (20 credible sets) had a slope pQTL in MESA, with poor replication in UKB and CARDIA. With baseline adjustment, 607 proteins (698 credivle sets) had a slope pQTL and over 70% replicated in CARDIA and/or UKB; such baseline adjusted models may, however, be subject to collider bias. Longitudinal and cross-sectional interaction models identified fewer than 14 pQTLs, suggesting they were generally underpowered; but 73% of proteins with a variance pQTL also had a slope pQTL. By examining effect direction concordance, replication rate, directed acyclic graphs, and signal overlap with other models we demonstrate that many baseline-adjusted slope pQTLs may be arising due to model misspecification or regression to the mean. Overall, our results highlight considerations for modeling strategies of change phenotypes and build on understanding of potential genetic mechanisms influencing interindividual proteome changes over time.

genetics↗

bioRxiv2026

Triplet tumbling microscopy enables in situ quantification of protein complex assembly and dynamics

Protein-protein interactions (PPIs) mediate diverse cellular processes, but PPIs are typically characterized using reconstituted in vitro biochemical and biophysical approaches. Current approaches for PPI detection in living cells are limited in the scope of interactions they can capture and often require prior knowledge of the interacting partners. To close this gap, we developed triplet tumbling microscopy (TTM), which reveals the interactions of a tagged protein of interest in cells in real time. TTM reports protein complex size from rotational diffusion ("tumbling") by leveraging infrared-triggerable emission from triplet states to track tumbling over nanoseconds to hundreds of microseconds. These long-lived triplets overcome the size limitations of existing rotational diffusion-based approaches, enabling TTM to measure species from small protein complexes to organelle-scale beads. In living cells, we apply TTM to detect PPIs, quantify fraction bound, and distinguish protein complexes by size. We measure diverse types of interactions, including rapamycin-induced dimerization, p53 homo-oligomerization, and binding of the E3-ligase E6AP to the human papilloma virus 16 E6 protein. The required hardware is compatible with most fluorescent microscopes, making TTM a versatile way to extract molecular insights from the complex context of living cells. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/723557v2_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@c77bc1org.highwire.dtl.DTLVardef@8de44forg.highwire.dtl.DTLVardef@18803f2org.highwire.dtl.DTLVardef@bb3afe_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

Bridge recombinase enables versatile rewriting of bacterial genomes

Bacteria drive crucial processes across ecosystems and impact human health, yet tools to rewrite microbiomes remain limited. Here, we show that bridge recombinase enables versatile and programmable genome editing across the bacterial tree of life. In Escherichia coli, we achieved 142 kb insertions at >90% efficiency, megabase-scale inversions (2.3 Mb), and pathway-scale 50 kb excisions. With a single ortholog and bridge RNA (bRNA), we edited bacterial isolates spanning five phyla and diverse members of two human gut communities. We overcame cross-reactivity between co-expressed bRNAs to establish search-and-replace Targetable Recombinase Assisted DNA Exchange (TRADE) editing and demonstrated capture and interphylum transfer of chromosomal pathways, enabling programmable horizontal gene transfer. These advances establish bridge recombinase as a foundation for reprogramming gene flow in complex microbial communities.

synthetic biology↗

bioRxiv2026

Blood Biochemical Responses to Acute Exercise: Findings from the Molecular Transducers of Physical Activity Consortium (MoTrPAC)

Exercise benefits numerous organ systems and tissues, however limited knowledge exists about its underlying molecular pathways. Identifying the exercise-induced biochemical changes that occur in the circulation may provide further insights into how exercise confers systemic health changes. Here, we perform large-scale plasma proteomic, metabolomic, and whole blood transcriptional profiling in sedentary human participants undergoing acute endurance exercise (EE), resistance exercise (RE), or a non-exercise control (CON) in up to 7 timepoints over a 24 hour period. We observe 7066 transcript, 189 protein, and 448 metabolite changes in response to EE or RE compared to CON. Our analyses reveal numerous shared biochemical responses between EE and RE modes, but also differences in immune cell responses, lipid metabolism, and pathways reflective of tissue repair and angiogenesis. Taken together, our findings highlight novel temporal and exercise mode-specific blood-based molecular responses to acute exercise, and provide a new resource for the scientific community.

systems biology↗

bioRxiv2026

Multi-Omic, Multi-Tissue Responses to Acute Exercise in Sedentary Adults: Findings from the Molecular Transducers of Physical Activity Consortium

Regular physical activity represents one of the greatest mechanisms for maintaining human health, yet the underlying molecular transducers of these benefits remain incompletely understood. Multi-omic assays now provide new opportunities to study the coordinated molecular responses of body tissues to different exercise modalities. The Molecular Transducers of Physical Activity Consortium (MoTrPAC) was established to address this need by creating a molecular map of the response to physical activity. Described here is the first human cohort of MoTrPAC: sedentary adults enrolled prior to study suspension during the COVID-19 pandemic (N=175) randomized to either endurance or resistance exercise, or non-exercise control. From these participants, we detail their global acute molecular response in skeletal muscle, adipose tissue, and blood, integrated at multiple levels: tissue, exercise modality, timepoint, and omic category. These analyses characterize key molecular pathways, identify central regulators, and implicate novel candidate exerkines in mediating multi-organ exercise effects.

systems biology↗

bioRxiv2025

Oncogenic Role of Aberrant EZH2 in Hepatoblastoma

Hepatoblastoma (HB) is the most common pediatric liver malignancy. However, its cellular origin and molecular drivers remain poorly defined. Using single-nuclear RNA sequencing (snRNA-seq), we identified a proliferative, hepatocyte-derived tumor cell population (cycling HepT) enriched for Enhancer of Zeste Homolog 2 (EZH2) expression, particularly in the aggressive embryonal subtype. Integrative genomic and transcriptomic profiling confirmed EZH2 overexpression. Disruption of the PRC2 complex was evident through mislocalization and reduced expression of SUZ12, a core component. EZH2 overexpression correlated with upregulation of mitotic regulators such as AURKB and Ki67 in human HB gene expression analysis as compared to background liver. Targeted sequencing identified variants of uncertain significance in EZH2 and SUZ12 in 11 of 11 patient tumors. Pharmacologic inhibition of EZH2 with EPZ-6438 reduced proliferation and sensitized HB cells to cisplatin through gene regulation, potentially modulating platinum accumulation both in vitro and in vivo. In summary, EZH2 promotes HB progression through epigenetic silencing and noncanonical signaling pathways. These findings support EZH2s contribution to HB pathogenesis, therefore identifying it as a novel therapeutic target. STATEMENT OF SIGNIFICANCEEZH2 is enriched in hepatoblastoma, suggesting its role in early tumorigenesis. Its inhibition, combined with cisplatin, produces synergistic anti-tumor effects, supporting EZH2 as both an oncogenic and therapeutic target.

cancer biology↗

bioRxiv2025

Tissue Factor Expression in Penile Squamous Cell Carcinoma: A Marker of HPV-Independent Disease

In a series of 33-patients, we evaluated tissue factor (TF) expression in penile squamous cell carcinoma (PSCC). A tissue microarray (TMA) was constructed with 3 cores per patient tumor (99 total cores). Anti-TF antibody staining was performed by immunohistochemistry and H-scores for membrane and cytoplasm staining were assessed (range 0-300). Percentage of cores and patient tumors staining positive for TF ([≥]10% of tumor cells with at least 1+ intensity in cytoplasm and/or membrane) and H-scores were described and compared with HPV and p16 status. Association of TF expression with tumor grade, presence of metastatic disease, lymphovascular invasion (LVI), perineural invasion (PNI), aberrant p53 expression, recurrence free survival (RFS), and cancer specific survival (CSS) were assessed. Nectin-4 and TROP2 staining and their association with clinical/pathological data was determined in a similar manner. TF staining was more prominent in HPV-negative tumors in both the membrane (H-score 69.6 vs 18.8; p=0.003) and cytoplasm (H-score 59.2 vs. 17.7, p=0.007). Cytoplasmic (H-score 61.7 vs 11.7, p=<0.001) and membrane TF staining (H-score 71.7 vs 15.0, p=<0.001) favored p16 negative tumors. The p53 status was more likely to be aberrant in the higher TF staining samples (cytoplasm H-score 61.7 vs 18.3, p=0.012; membrane H-score 67.5 vs 20.3, p=0.006). We observed an association with TROP2 staining and positive p16 status (membrane H-score 120.3 vs. 85, p=0.052; cytoplasmic H-score 135 vs. 107.5, p=0.041). We observed an association of TROP2 staining with positive LVI (membrane H-score 136.7 vs. 66.7, p=0.014; cytoplasmic H-score 110 vs. 93.3, p=0.04). We found no association between TF, TROP2, or nectin-4 staining with CSS or RFS; however, we suspect that this is due to our small sample size. Our results indicate that TF expression could be positive biomarker for HPV-independent, p53-aberrant PSCC, while TROP2 could be associated with HPV-associated PSCC.

pathology↗

bioRxiv2024

Modulating Cardiac Energetics in Cardio-Metabolic Syndromes: A mechanistic, hyperpolarized MR Trial of Ninerafaxstat Treatment

BackgroundType 2 diabetes (T2D) and obesity are key contributors for heart failure (HF)- development, especially for HF with a preserved ejection fraction (HFpEF). On a molecular basis, excessive use of fatty acids (FA) induces lipotoxicity which in turn promotes inflammation, reduces mitochondrial pyruvate dehydrogenase (PDH) activity and impairs myocardial energetics and -function. Harnessing in-vivo, real time measurement of cellular metabolism via hyperpolarized pyruvate MR, we aimed to assess the effects of ninerafaxstat, a selective FA oxidation inhibitor, on cardiac energetics, metabolism & diastolic function in patients with cardio-metabolic syndromes. MethodsIMPROVE-DiCE was an open-label, mechanistic phase 2a trial. 21 participants received 200mg ninerafaxstat twice daily for four (n=5) or eight weeks (n=16). Myocardial energetics (phosphocreatine to adenosine triphosphate ratio, PCr/ATP), metabolism and function were assessed pre-& post-treatment using magnetic resonance imaging (MRI), 31P- and 1H-MR spectroscopy (MRS). We utilised hyperpolarized [1-13C]pyruvate MRS to assess in-vivo PDH-flux (n=9) and plasma metabolomics and proteomics to assess whole body metabolism. ResultsPatients presented with impaired PCr/ATP, (median 1.6 [IQR 1.4, 2.1]), myocardial steatosis (2.2 % [IQR 1.5, 3.2]) and LV diastolic dysfunction (peak circumferential diastolic strain rate 0.86/s [IQR 0.82, 1.06]) at baseline. Ninerafaxstat treatment improved myocardial energetics by 32% (p<0.01), reduced myocardial triglyceride content by 34% (p=0.03) and showed a trend towards improved PDH-flux (mean 45% increase, p=0.08). Diastolic function was significantly improved post-treatment (peak diastolic strain rate by 10%, peak LV filling rate by 11%, both p<0.05). ConclusionsMetabolic modulation with ninerafaxstat significantly improved myocardial energetics, reduced myocardial steatosis and improved LV diastolic filling. Combining hyperpolarized MRS and metabolomics, is a powerful approach to examine the mechanism of action of novel metabolic modulators. REGISTRATIONURL: https://clinicaltrials.gov; Unique identifier: NCT04826159 O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC="FIGDIR/small/591019v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@86fae1org.highwire.dtl.DTLVardef@1c1037eorg.highwire.dtl.DTLVardef@cc5ca9org.highwire.dtl.DTLVardef@d789d1_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2024

Bond strength between receptor binding domain of spike protein and human angiotensin converting enzyme-2 using machine learning.

The spike protein (S-protein) of SARS-CoV-2 plays an important role in binding, fusion, and host entry. In this study, we have predicted interatomic bond strength between receptor binding domain (RBD) and angiotensin converting enzyme-2 (ACE2) using machine learning (ML), that matches with expensive ab initio calculation result. We collected bond order result from ab initio calculations. We selected a total of 18 variables such as bond type, bond length, elements and their coordinates, and others, to train ML models. We then trained five well-known regression models, namely, Decision Tree regression, KNN Regression, XGBoost, Lasso Regression, and Ridge Regression. We tested these models on two different datasets, namely, Wild type (WT) and Omicron variant (OV). In the first setting, we used 90% of each dataset for training and 10% for testing to predict the bond order. XGBoost model outperformed all the other models in the prediction of the WT dataset. It achieved an R2 Score of 0.997. XGBoost also outperformed all the other models with an R2 score of 0.9998 in the prediction of the OV dataset. In the second setting, we trained all the models on the WT (or OV) dataset and predicted the bond order on the OV (or WT) dataset. Interestingly, Decision Tree outperformed all the other models in both cases. It achieved an R2 score of 0.997.

biophysics↗

bioRxiv2024

A small molecule VHL molecular glue degrader for cysteine dioxygenase 1

The Von Hippel-Lindau Tumor Suppressor gene product (pVHL) is an E3 ligase substrate receptor that binds proline-hydroxylated HIF1-, leading to its ubiquitin-dependent degradation. By using protein arrays, we identified a small molecule that binds the HIF1- binding pocket on pVHL and functions as a molecular glue degrader of the neosubstrate cysteine dioxygenase (CDO1) by recruiting it into the VHL-cullin-ring E3 ligase complex and leading to its selective degradation. The CDO1 binding region involved in VHL recruitment was characterized through a combination of mutagenesis and protein-protein docking coupled with molecular dynamics-based solvation analysis. The X-ray structure of the ternary complexes of VHL, CDO1, and degrader molecules confirms the binding region prediction and provides atomic insights into key molecular glue interactions.

biochemistry↗

bioRxiv2023

Myosin VIII and XI isoforms interact with Agrobacterium VirE2 protein and help direct transport from the plasma membrane to the perinuclear region during plant transformation

Virulent Agrobacterium strains transfer single-strand T-DNA (T-strands) and virulence effector proteins into plant cells. VirE2, one of these virulence effectors, enters the plant cell and is thought to bind T-strands, protecting them from nuclease degradation and helping guide them to the nucleus. How VirE2 is trafficked inside the plant cell is not fully understood. Using bimolecular fluorescence complementation, in vitro pull-down, yeast two-hybrid, and in vivo co-immunoprecipitation assays, we found that VirE2 binds directly to the cargo binding domains of several myosin VIII family members, and to myosin XI-K. We observed reduced susceptibility of several Arabidopsis actin mutants and a myosin VIII-1/2/a/b quadruple mutant to Agrobacterium-mediated transformation. Expression of cargo binding domains of myosin VIII-1, VIII-2, VIII-A, or VIII-B in transgenic plants inhibits Arabidopsis root transformation. However, none of the myosin VIII proteins contribute to the intracellular trafficking of VirE2. Expression of myosin VIII-2, -A, -B, but not VIII-1, cDNAs in the myosin VIII-1/2/a/b mutant partially restored transformation. Furthermore, functional fluorescently-tagged VirE2, synthesized in plant cells, relocalized from the cellular periphery into the cytoplasm after delivery of T-strands from Agrobacterium. Surprisingly, mutation of myosin XI-k and expression of the myosin XI-K cargo binding domain had no effect on transformation, although it blocked VirE2 movement along actin filaments. We hypothesize that myosin VIII proteins facilitate VirE2 tethering to the plasma membrane and are required for efficient localization of VirE2 to membrane sites from which they bind incoming T-strands. Myosin XI-K is important for VirE2 movement through the cytoplasm towards the nucleus.

plant biology↗

bioRxiv2023

Genomic perspectives of SARS CoV-2 in liver disease patients with its clinical correlation: A single centre retrospective study

BackgroundSevere Acute Respiratory Syndrome Coronavirus-2 (SARS CoV-2), is a causative agent of current global pandemic of Coronavirus disease-19 (COVID-19). Due to propagated outbreak and global vaccination drive an immense immunological selection pressure has been exerted on SARS CoV-2 leading to evolution of new variants. This study was performed to compare the mutational and clinical profile of liver disease patients infected with different variants of SARS CoV-2. MethodologyThis was a single-centre, retrospective, cohort study in which clinicogenomic analysis of liver disease (LD) patients infected with SARS CoV-2 was performed. Complete demographic and clinical details were retrieved from Hospital Information System (HIS). QC-threshold passed FASTA files containing sequences from COVID-19 patients (n=174) were compared with a reference genome of SARS-CoV-2 isolate named Wuhan-Hu-1 (NCBI Reference Sequence: NC_045512.2) for mutational analysis. ResultsOut of 232 finally analysed patients 137 (59.1%) were LD-CoV (+) and 95 (40.9%) were LD-CoV(-). LD patients with comorbidities were affected more with COVID-19 (p=0.002). On comparing the outcome in the terms of mortality, LD-CoV (+) had 2.29 times (OR 2.29, CI 95%, 1.25-4.29) higher of odds of succumbing to COVID-19 (p=0.006). Multivariate regression analysis revealed, abdominal distention (p=0.05), severe COVID-19 pneumonia (p=0.046) and the change in serum bilirubin levels (p=0.005) as well as Alkaline phosphatase (ALP) levels (p=0.003) to have an association with adverse outcome in LD patients with COVID-19. In Delta (22%) and Omicron (48%) groups, Spike gene harboured maximum mutations. On comparing the mutations between LD-CoV(+/D) and LD-CoV(+/O) a total of nine genes had more mutations in LD-CoV(+/O) whereas three genes had more mutations in LD-CoV(+/D). ConclusionWe concluded that LD patients are more susceptible to COVID-19 as compared to a healthy adult with associated adverse clinical outcomes in terms of mortality and morbidity. Therefore this special group should be given priority while devising and introducing new vaccination and vaccination policies. The infection with different variants did not result in different outcome in our group of patients.

microbiology↗

bioRxiv2022

A novel transcriptional signature identifies T-cell infiltration in high-risk paediatric cancer

Molecular profiling of the tumour immune microenvironment (TIME) has enabled the rational choice of immunotherapies in some adult cancers. In contrast, the TIME of paediatric cancers is relatively unexplored. We speculated that a more refined appreciation of the TIME in childhood cancers, rather than a reliance on commonly used biomarkers such as tumour mutation burden (TMB), neoantigen load and PD-L1 expression, is an essential prerequisite for improved immunotherapies in childhood solid cancers. We combined immunohistochemistry (IHC) and molecular profiling to develop an alternative, expression-based signature associated with CD8+ T-cell infiltration of the TIME in high-risk paediatric tumours. Using this novel 15-gene immune signature, Immune Paediatric Signature Score (IPASS), we estimate up to 31% of high-risk cancers harbour infiltrating T-cells. Our data provides new insights into the variable immune-suppressive mechanisms dampening responses in paediatric solid cancers. Effective immune-based interventions in high-risk paediatric cancer will require individualised analysis of the TIME.

cancer biology↗

bioRxiv2022

Purification and biochemical analysis of native AMPA receptors from three different mammalian species

The majority of fast, excitatory synaptic transmission in the central nervous system (CNS) is mediated by -amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors (AMPARs), which are glutamate-activated ion channels integral to synaptic plasticity, motor coordination, learning, and memory. AMPARs are multiprotein assemblies comprised of a tetrameric receptor core that co-assembles with a broad range of peripheral auxiliary proteins which shape subcellular localization and signaling properties of the resulting complexes. Structure determination of AMPARs has traditionally relied on recombinant expression systems; however, these methods are not well suited to elucidate the diverse array of AMPAR assemblies that are differentially expressed in mammalian brains. While recent studies of native receptor complexes have advanced our understanding of endogenous assemblies, receptors thus far have only been isolated from rodent brain tissue. Here, we employed an immunoaffinity purification strategy to isolate native AMPARs from the brains of three different mammals - pigs, sheep, and cows. Compared to rodents; pigs, sheep, and cows are from a unique clade of mammals - ungulates, that share a closer genomic identity with humans. We determined the molecular size, overall yield, and purity of native AMPARs isolated from these three mammals, thereby demonstrating that structural determination and biochemical analysis is possible from a clade of mammals evolutionarily distinct from rodents.

biochemistry↗

bioRxiv2022

Sucrose metabolism and candidate genes during catkin fibers development in poplar

Poplar is an important tree species for ecological protection, wood production, bioenergy and urban greening; it has been widely planted worldwide. However, the catkin fibers produced by female poplars can cause environmental pollution and safety hazards during spring. This study focused on Populus tomentosa, and revealed the sucrose metabolism regulatory mechanism of catkin fibers development from morphological, physiological and molecular aspects. Paraffin section suggested that poplar catkin fibers were not seed hairs and produced from the epidermal cells of funicle and placenta. Sucrose degradation via invertase and sucrose synthase played the dominant role during poplar catkin fibers development. The expression patterns revealed that sucrose metabolism-related genes played important roles during catkin fibers development. Y1H analysis indicated that there was a potential interaction between sucrose synthase 2 (PtoSUS2)/vacuolar invertase 3 (PtoVIN3) and MYB/ bHLH transcription factors in poplar. Finally, the two key genes, PtoSUS2 and PtoVIN3, had roles in Arabidopsis trichome density, indicating that sucrose metabolism is important in poplar catkin fibers development. This study is not only helpful for clarifying the mechanism of sucrose regulation during trichome development in perennial woody plants, but also establishes a foundation to solve poplar catkin fibers pollution through genetic engineering methods. HighlightSucrose degradation via invertase and sucrose synthase plays an important role in poplar catkin fibers development, and PtoSUS2 and PtoVIN3 are potential promising targets to solve poplar catkin fibers pollution.

molecular biology↗

bioRxiv2022

Fish oil Nano-emulsion Kills Macrophage: Ferroptosis and Autophagy Triggered by Catalase-catalysed Superoxide Eruption

Fish oil is increasingly utilized in the form of nano-emulsion as nutrient and function fortifier. The nano-emulsions high polyunsaturated fatty acids content and electron donors at oil/water interface could be a potential site of redox reaction, if a previously unrecognised trigger was provided. Here we report that a vigorous superoxide production occurred in fish oil nano-emulsion in the presence of mammalian catalase in both acellular and cellular systems. Furthermore, the resulting superoxide increased cytosolic ROS and membrane lipid peroxidation of murine macrophage, and eventually caused fatal oxidative damage, which involves autophagy and ferroptosis but not apoptosis. The cell death was significantly inhibited by a catalase-specific inhibitor. The ferroptosis was independent of protease Caspase-3 activation or glutathione peroxidase suppression. Our findings discover a hidden risk factor of the widely acclaimed fish oil emulsion and suggest a novel mechanism of cellular damage by dietary lipids on mucosal layer of the alimentary tract.

cell biology↗

bioRxiv2022

RelCoVax(R), a two antigen subunit protein vaccine candidate against SARS-CoV-2 induces strong immune responses in mice

The COVID-19 pandemic has spurred an unprecedented movement to develop safe and effective vaccines against the SARS-CoV-2 virus to immunize the global population. The first set of vaccine candidates that received emergency use authorization targeted the spike (S) glycoprotein of the SARS-CoV-2 virus that enables virus entry into cells via the receptor binding domain (RBD). Recently, multiple variants of SARS-CoV-2 have emerged with mutations in S protein and the ability to evade neutralizing antibodies in vaccinated individuals. We have developed a dual RBD and nucleocapsid (N) subunit protein vaccine candidate named RelCoVax(R) through heterologous expression in mammalian cells (RBD) and E. coli (N). The RelCoVax(R) formulation containing a combination of aluminum hydroxide (alum) and a synthetic CpG oligonucleotide as adjuvants elicited high antibody titers against RBD and N proteins in mice after a prime and boost dose regimen administered 2 weeks apart. The vaccine also stimulated cellular immune responses with a potential Th1 bias as evidenced by increased IFN-{gamma} release by splenocytes from immunized mice upon antigen exposure particularly N protein. Finally, the serum of mice immunized with RelCoVax(R) demonstrated the ability to neutralize two different SARS-CoV-2 viral strains in vitro including the Delta strain that has become dominant in many regions of the world and can evade vaccine induced neutralizing antibodies. These results warrant further evaluation of RelCoVax(R) through advanced studies and contribute towards enhancing our understanding of multicomponent subunit vaccine candidates against SARS-CoV-2.

immunology↗

bioRxiv2021

Delta variant with P681R critical mutation revealed by ultra-large atomic-scale ab initio simulation: Implications for the fundamentals of biomolecular interactions

SARS-CoV-2 Delta variant is emerging as a globally dominant strain. Its rapid spread and high infection rate are attributed to a mutation in the spike protein of SARS-CoV-2 allowing the virus to invade human cells much faster and with increased efficiency. Particularly, an especially dangerous mutation P681R close to the furin cleavage site has been identified as responsible for increasing the infection rate. Together with the earlier reported mutation D614G in the same domain, it offers an excellent instance to investigate the nature of mutations and how they affect the interatomic interactions in the spike protein. Here, using ultra large-scale ab initio computational modeling, we study the P681R and D614G mutations in the SD2-FP domain including the effect of double mutation and compare the results with the wild type. We have recently developed a method of calculating the amino acid-amino acid bond pairs (AABP) to quantitatively characterize the details of the interatomic interactions, enabling us to explain the nature of mutation at the atomic resolution. Our most significant find is that the mutations reduce the AABP value, implying a reduced bonding cohesion between interacting residues and increasing the flexibility of these amino acids to cause the damage. The possibility of using this unique mutation quantifiers in a machine learning protocol could lead to the prediction of emerging mutations.

biochemistry↗