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Biology subjects

Baha, H.

Publications and source records attributed to Baha, H..

4 recordsLinked to original sources

Capture of fusion-intermediate conformations of SARS-CoV-2 spike requires receptor binding and cleavage at either the S1/S2 or S2' site

Although the structures of pre- and post-fusion conformations of SARS-CoV-2 spikes have been solved by cryo-electron microscopy, the transient spike conformations that mediate virus fusion with host cell membranes remain poorly understood. In this study, we used a peptide fusion inhibitor corresponding to the heptad repeat 2 (HR2) in the S2 transmembrane subunit of the spike to investigate fusion-intermediate conformations that involve exposure of the highly conserved heptad repeat 1 (HR1). The HR2 peptide disrupts the assembly of the HR1 and HR2 regions of the spike, which form six-helix bundle during the transition to the post-fusion conformation. We show that binding of the spike S1 subunit to ACE2 is sufficient to trigger conformational changes that allow the peptide to capture a fusion-intermediate conformation of S2 and inhibit membrane fusion. When TMPRSS2 is also present, an S2 fusion intermediate is captured though the proportion of the S2 intermediate relative to the S2 intermediate is lower in Omicron variants than pre-Omicron variants. In spikes lacking the natural S1/S2 furin cleavage site, ACE2 binding alone is not sufficient for trapping fusion intermediates; however, co-expression of ACE2 and TMPRSS2 allows trapping of an S2 intermediate. These results indicate that, in addition to ACE2 engagement, at least one spike cleavage is needed for unwinding S2 into an HR2-sensitive fusion-intermediate conformation. Our findings elucidate fusion-intermediate conformations of SARS-CoV-2 spike variants that expose conserved sites on spike that could be targeted by inhibitors or antibodies. Author summaryThe SARS-CoV-2 spike protein undergoes two proteolytic cleavages and major conformational changes that facilitate fusion between viral and host membranes during virus infection. Spike is cleaved to S1 and S2 subunits during biogenesis, and S2 is subsequently cleaved to S2 as the virus enters host cells. While structures of pre-fusion and post-fusion spike conformations have been extensively studied, transient fusion-intermediate conformations during the fusion process are less well understood. Here, we use a peptide fusion inhibitor corresponding to a heptad repeat domain in the S2 subunit to investigate fusion-inducing conformational changes. During spike-mediated cell-cell fusion, we show that the peptide binds to spike only after spike engages ACE2 and is cleaved at the S1/S2, S2, or both sites. Thus, S2 needs at least one cleavage to refold to a peptide-sensitive fusion intermediate. SARS-CoV-2 variants differed in the proportion of S2 and S2 fusion intermediates captured after receptor binding, indicating that the virus has evolved not only to alter its entry pathway but also to modulate S2 unfolding. This work informs the development of antiviral strategies targeting conserved sites in fusion-intermediate conformations of spike and contributes more broadly to the understanding of the entry mechanisms of viral fusion proteins.

microbiology↗

Gene PointNet for Tumor Classification

The rising incidence of cancer underscores the imperative for innovative diagnostic and prognostic methodologies. This study delves into the potential of RNA-Seq gene expression data to enhance cancer classification accuracy. Introducing a pioneering approach, we model gene expression data as point clouds, capitalizing on the datas intrinsic properties to bolster classification performance. Utilizing PointNet, a typical technique for processing point cloud data, as our frameworks cornerstone, we incorporate inductive biases pertinent to gene expression and pathways. This integration markedly elevates model efficacy, culminating in developing an end-to-end deep learning classifier with an accuracy rate surpassing 99%. Our findings not only illuminate the capabilities of AI-driven models in the realm of oncology but also highlight the criticality of acknowledging biological dataset nuances in model design. This research provides insights into application of deep learning in medical science, setting the stage for further innovation in cancer classification through sophisticated biological data analysis. The source code for our study is accessible at: https://github.com/cialab/GPNet.

bioinformatics↗

D614G and Omicron SARS-CoV-2 variant spike proteins differ in the effects of N-glycan modifications on spike expression, virus infectivity, and neutralization by some therapeutic antibodies

The SARS-CoV-2 spike glycoprotein has 22 potential N-linked glycosylation sites per monomer that are highly conserved among diverse variants, but how individual glycans affect virus entry and neutralization of Omicron variants has not been extensively characterized. Here we compared the effects of specific glycan deletions or modifications in the Omicron BA.1 and D614G spikes on spike expression, processing, and incorporation into pseudoviruses, as well as on virus infectivity and neutralization by therapeutic antibodies. We found that loss of potential glycans at spike residues N717 and N801 each conferred a loss of pseudovirus infectivity for Omicron but not for D614G or Delta variants. This decrease in infectivity correlated with decreased spike processing and incorporation into Omicron pseudoviruses. Oligomannose-enriched Omicron pseudoviruses generated in GnTI- cells or in the presence of kifunensine were non-infectious, whereas D614G or Delta pseudoviruses generated under similar conditions remained infectious. Similarly, authentic SARS-CoV-2 grown in the presence of kifunensine decreased titers more for the BA.1.1 variant than Delta or D614G variants relative to their respective, untreated controls. Finally, we found that loss of some N-glycans, including N343 and N234, increased the maximum percent neutralization by the class 3 S309 monoclonal antibody against D614G but not BA.1 variants, while these glycan deletions altered the neutralization potency of the class 1 COV2-2196 and Etesevimab monoclonal antibodies without affecting maximum percent neutralization. The maximum neutralization by some antibodies also varied with the glycan composition, with oligomannose-enriched pseudoviruses conferring the highest percent neutralization. These results highlight differences in the interactions between spike glycans and residues among SARS-CoV-2 variants that can affect spike expression, virus infectivity, and susceptibility of variants to antibody neutralization. Author summary (non-technical)The SARS-CoV-2 spike surface protein is covered in glycans that may affect its function and ability to evade antibodies. Omicron variants have over 30 mutations compared to the D614G variant, yet all 22 potential N-glycosylation sites are highly conserved. Here we compared the impact of glycan changes in the spikes of the Omicron and D614G variants on virus infectivity and neutralization. We found that loss of specific glycans in the transmembrane subunit of spike greatly reduced Omicron, but not D614G, spike expression and incorporation into pseudoviruses. Changes in the overall glycan composition also reduced the infectivity of Omicron pseudovirus and authentic virus more than D614G pseudoviruses and authentic viruses. We further show that changes in specific glycans directly or indirectly affected susceptibility of pseudoviruses to therapeutic antibodies, but the effects differed among the variants. These findings highlight differences in the interplay between spike glycans and amino acid residues among SARS-CoV-2 variants that can contribute to spike plasticity and modify spike expression, function, and immune evasion properties.

microbiology↗

Characterization of entry pathways, species-specific ACE2 residues determining entry, and antibody neutralization evasion of Omicron BA.1, BA.1.1, BA.2, and BA.3 variants

The SARS-CoV-2 Omicron variants were first detected in November 2021, and several Omicron lineages (BA.1, BA.2, BA.3, BA.4, and BA.5) have since rapidly emerged. Studies characterizing the mechanisms of Omicron variant infection and sensitivity to neutralizing antibodies induced upon vaccination are ongoing by several groups. In the present study, we used pseudoviruses to show that the transmembrane serine protease 2 (TMPRSS2) enhances infection of BA.1, BA.1.1, BA.2, and BA.3 Omicron variants to lesser extent compared to ancestral D614G. We further show that Omicron variants have higher sensitivity to inhibition by soluble angiotensin converting enzyme 2 (ACE2) and the endosomal inhibitor chloroquine compared to D614G. The Omicron variants also more efficiently used ACE2 receptors from nine out of ten animal species tested, and unlike the D614G variant, used mouse ACE2 due to the Q493R and Q498R spike substitutions. Finally, neutralization of the Omicron variants by antibodies induced by three doses of Pfizer/BNT162b2 mRNA vaccine was 7-8-fold less potent than the D614G, and the Omicron variants still evade neutralization more efficiently.

microbiology↗