Biology subjects

Dadonaite, B.

Publications and source records attributed to Dadonaite, B..

25 records · Page 2Linked to original sources

bioRxiv2022

Identification of broad, potent antibodies to functionally constrained regions of SARS-CoV-2 spike following a breakthrough infection

The antiviral benefit of antibodies can be compromised by viral escape especially for rapidly evolving viruses. Therefore, durable, effective antibodies must be both broad and potent to counter newly emerging, diverse strains. Discovery of such antibodies is critically important for SARS-CoV-2 as the global emergence of new variants of concern (VOC) has compromised the efficacy of therapeutic antibodies and vaccines. We describe a collection of broad and potent neutralizing monoclonal antibodies (mAbs) isolated from an individual who experienced a breakthrough infection with the Delta VOC. Four mAbs potently neutralize the Wuhan-Hu-1 vaccine strain, the Delta VOC, and also retain potency against the Omicron VOCs through BA.4/BA.5 in both pseudovirus-based and authentic virus assays. Three mAbs also retain potency to recently circulating VOCs XBB.1.5 and BQ.1.1 and one also potently neutralizes SARS-CoV-1. The potency of these mAbs was greater against Omicron VOCs than all but one of the mAbs that had been approved for therapeutic applications. The mAbs target distinct epitopes on the spike glycoprotein, three in the receptor binding domain (RBD) and one in an invariant region downstream of the RBD in subdomain 1 (SD1). The escape pathways we defined at single amino acid resolution with deep mutational scanning show they target conserved, functionally constrained regions of the glycoprotein, suggesting escape could incur a fitness cost. Overall, these mAbs are novel in their breadth across VOCs, their epitope specificity, and include a highly potent mAb targeting a rare epitope outside of the RBD in SD1. Significance StatementSARS-CoV-2 infections can result in diverse clinical outcomes, including severe disease. Monoclonal antibodies (mAbs) have been used therapeutically to treat infection, but the emergence of variants has compromised their efficacy. Thus, identifying mAbs that are more durable in the face of SARS-CoV-2 evolution is a pressing need. Here, we describe four new mAbs isolated from a Delta-breakthrough infection, that can potently neutralize diverse variants, including multiple Omicron variants. In addition, one mAb shows broader activity against coronaviruses. The breadth of these mAbs is due to their focus on highly conserved regions of the viral protein antigen, including regions that are required for the virus to enter the cell. These properties make them promising candidates for therapeutic use.

immunology↗

bioRxiv2022

A pseudovirus system enables deep mutational scanning of the full SARS-CoV-2 spike

A major challenge in understanding SARS-CoV-2 evolution is interpreting the antigenic and functional effects of emerging mutations in the viral spike protein. Here we describe a new deep mutational scanning platform based on non-replicative pseudotyped lentiviruses that directly quantifies how large numbers of spike mutations impact antibody neutralization and pseudovirus infection. We demonstrate this new platform by making libraries of the Omicron BA.1 and Delta spikes. These libraries each contain ~7000 distinct amino-acid mutations in the context of up to ~135,000 unique mutation combinations. We use these libraries to map escape mutations from neutralizing antibodies targeting the receptor binding domain, N-terminal domain, and S2 subunit of spike. Overall, this work establishes a high-throughput and safe approach to measure how ~105 combinations of mutations affect antibody neutralization and spike-mediated infection. Notably, the platform described here can be extended to the entry proteins of many other viruses.

microbiology↗

bioRxiv2022

Receptor binding domain (RBD) antibodies contribute more to SARS-CoV-2 neutralization when target cells express high levels of ACE2

Neutralization assays are experimental surrogates for the effectiveness of infection- or vaccine-elicited polyclonal antibodies and therapeutic monoclonal antibodies targeting SARS-CoV-2. However, the measured neutralization can depend on details of the experimental assay. Here we systematically assess how ACE2 expression in target cells affects neutralization by antibodies to different spike epitopes in lentivirus pseudovirus neutralization assays. For high ACE2-expressing target cells, receptor binding domain (RBD) antibodies account for nearly all neutralizing activity in polyclonal human sera. But for lower ACE2-expressing target cells, antibodies targeting regions outside the RBD make a larger (although still modest) contribution to serum neutralization. These serum-level results are mirrored for monoclonal antibodies: N-terminal domain (NTD) antibodies and RBD antibodies that do not compete for ACE2 binding incompletely neutralize on high ACE2-expressing target cells, but completely neutralize on cells with lower ACE2 expression. Our results show that ACE2 expression level in the target cells is an important experimental variable, and that high ACE2 expression emphasizes the role of a subset of RBD-directed antibodies.

immunology↗

bioRxiv2022

Influenza virus transcription and progeny production are poorly correlated in single cells

The ultimate success of a viral infection at the cellular level is determined by the number of progeny virions produced. However, most single-cell studies of infection quantify the expression of viral transcripts and proteins, rather than the amount of progeny virions released from infected cells. Here we overcome this limitation by simultaneously measuring transcription and progeny production from single influenza-virus-infected cells by embedding nucleotide barcodes in the viral genome. We find that viral transcription and progeny production are poorly correlated in single cells. The cells that transcribe the most viral mRNA do not produce the most viral progeny, and often represent aberrant infections that fail to express the influenza NS gene. However, only some of the discrepancy between transcription and progeny production can be explained by viral gene absence or mutations: there is also a wide range of progeny production among cells infected by complete unmutated virions. Overall, our results show that viral transcription is a relatively poor predictor of an infected cells contribution to the progeny population.

microbiology↗

bioRxiv2022

Shifting mutational constraints in the SARS-CoV-2 receptor-binding domain during viral evolution

SARS-CoV-2 has evolved variants with substitutions in the spike receptor-binding domain (RBD) that impact its affinity for ACE2 receptor and recognition by antibodies. These substitutions could also shape future evolution by modulating the effects of mutations at other sites--a phenomenon called epistasis. To investigate this possibility, we performed deep mutational scans to measure the effects on ACE2 binding of all single amino-acid mutations in the Wuhan-Hu-1, Alpha, Beta, Delta, and Eta variant RBDs. Some substitutions, most prominently N501Y, cause epistatic shifts in the effects of mutations at other sites, thereby shaping subsequent evolutionary change. These epistatic shifts occur despite high conservation of the overall RBD structure. Our data shed light on RBD sequence-function relationships and facilitate interpretation of ongoing SARS-CoV-2 evolution.

microbiology↗

bioRxiv2020

SAMHD1 limits the efficacy of forodesine in leukaemia by protecting cells against cytotoxicity of dGTP

The anti-leukaemia agent forodesine causes cytotoxic overload of intracellular deoxyguanosine triphosphate (dGTP) but is efficacious only in a subset of patients. We report that SAMHD1, a phosphohydrolase degrading deoxyribonucleoside triphosphates (dNTPs), protected cells against the effects of dNTP imbalances. SAMHD1-deficient cells induced intrinsic apoptosis upon provision of deoxyribonucleosides, particularly deoxyguanosine (dG). Moreover, dG and forodesine acted synergistically to kill cells lacking SAMHD1. Using mass cytometry, we found that these compounds killed SAMHD1-deficient malignant cells from patients with chronic lymphocytic leukaemia (CLL). Normal cells and CLL cells from patients without SAMHD1 mutation were unaffected. We therefore propose to use forodesine as a precision medicine for leukaemia, stratifying patients by SAMHD1 genotype or expression. O_FIG O_LINKSMALLFIG WIDTH=195 HEIGHT=200 SRC="FIGDIR/small/951517v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@69c367org.highwire.dtl.DTLVardef@19be007org.highwire.dtl.DTLVardef@91156corg.highwire.dtl.DTLVardef@1158ec6_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOSupplementary Figure 5.C_FLOATNO Graphical Abstract C_FIG Highlights O_LISAMHD1-deficient cells die upon exposure to deoxyribonucleosides (dNs) C_LIO_LIDeoxyguanosine (dG) is the most toxic dN, inducing apoptosis in cells lacking SAMHD1 C_LIO_LISAMHD1-mutated leukaemic cells can be killed by dG and the PNP-inhibitor forodesine C_LI In BriefSAMHD1 degrades deoxyribonucleoside triphosphates (dNTPs), the building blocks of DNA. Davenne et al. found that SAMHD1 protects cells against dNTP imbalances. Exposure of SAMHD1-deficient cells to deoxyguanosine (dG) results in increased intracellular dGTP levels and subsequent apoptosis. This can be exploited to selectively kill cancer cells that acquired SAMHD1 mutations.

cancer biology↗

bioRxiv2017

The structure of the influenza A virus genome

Influenza A viruses (IAVs) are segmented single-stranded negative sense RNA viruses that constitute a major threat to human health. The IAV genome consists of eight RNA segments contained in separate viral ribonucleoprotein complexes (vRNPs) that are packaged together into a single virus particle1,2. While IAVs are generally considered to have an unstructured single-stranded genome, it has also been suggested that secondary RNA structures are required for selective packaging of the eight vRNPs into each virus particle3,4. Here, we employ high-throughput sequencing approaches to map both the intra and intersegment RNA interactions inside influenza virions. Our data demonstrate that a redundant network of RNA-RNA interactions is required for vRNP packaging and virus growth. Furthermore, the data demonstrate that IAVs have a much more structured genome than previously thought and the redundancy of RNA interactions between the different vRNPs explains how IAVs maintain the potential for reassortment between different strains, while also retaining packaging selectivity. Our study establishes a framework towards further work into IAV RNA structure and vRNP packaging, which will lead to better models for predicting the emergence of new pandemic influenza strains and will facilitate the development of antivirals specifically targeting genome assembly.

microbiology↗