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Emery, M.

Publications and source records attributed to Emery, M..

7 recordsLinked to original sources

Development and validation of HIV SMRTcap for the characterization of HIV-1 reservoirs across tissues and subtypes

Human Immunodeficiency Virus type 1 (HIV-1) is responsible for the global HIV/AIDS epidemic and the establishment of an integrated HIV-1 reservoir remains the primary obstacle to cure. Upon therapy interruption, reactivation of the persistent HIV-1 reservoir propagates viral rebound and mediates continued immunological decline. While furthering understanding of the HIV-1 reservoir is essential for HIV-1 cure, commonly used sequencing strategies are often limited by the reliance on short-read sequencing across separate assays to determine integration sites and proviral integrity - something that does not always adequately resolve complex human genomic repeats or low complexity regions. Simultaneous identification of proviral integration sites and proviral integrity at the single molecule level would enable HIV-1 reservoir characterization with minimal imputation or bioinformatic reconstruction. Here we present HIV Single Molecule Real Time Capture (HIV SMRTcap), a novel molecular and computational pipeline that directly and simultaneously identifies HIV-1 integration sites, defines proviral integrity, and characterizes clonal expansion of HIV-1 provirus-containing cells with single molecule resolution. In combination with long-read, single-molecule, real-time (SMRT) sequencing and custom analytic pipelines, HIV SMRTcap enables a highly comprehensive characterization of HIV-1 reservoirs. Moreover, we demonstrate here that HIV SMRTcap performs robustly across the major global subtypes (HIV-1 subtype A, B, C, D and A/D recombinant viruses), and can use both cell- and tissue-derived inputs, including samples from antiretroviral therapy (ART) treated individuals with undetectable viral loads. Our results demonstrate that HIV SMRTcap serves as a comprehensive, robust method for unbiased HIV-1 reservoir characterization. Used alone, or in combination with single-cell based methods, HIV SMRTcap will enable novel exploration of viral reservoirs across subtypes and in tissue-specific compartments, providing critical information needed to inform HIV-1 cure.

genomics↗

Lysophosphatidic acid controls autotaxin binding to 1-integrin: impact on disease progression in murine collagen-induced arthritis.

Autotaxin (ATX) is a lysophospholipase D (lysoPLD) serving as both a lysophosphatidic acid (LPA)-producing enzyme and a LPA docking molecule. ATX binds to the cell surface via interaction with adhesive molecules, including {beta}1-integrin, potentially facilitating LPA access to its specific G protein-coupled receptors. However, the precise protein-protein interaction sequences and their biological implications remain unknown. Here, we identify the interaction domains between ATX and {beta}1-integrin and generate specific blocking antibodies allowing to demonstrate that ATX-{beta}1 binding domain involves a cryptic epitope unmasked by LPA docking. In addition, whereas anti-ATX antibodies do not inhibit the lysoPLD activity, immunological neutralization of the ATX-{beta}1 integrin binding site reduces arthritis development in a collagen-induced arthritis model. These findings offer novel insights into the molecular mechanisms governing ATX functions, which, in addition to its enzymatic activity, requires cell surface binding. These findings suggest that ATX binding domains could be targeted for novel therapeutic approaches.

cell biology↗

The human immunoglobulin heavy chain constant gene locus is enriched for large complex structural variants and coding polymorphisms that vary in frequency among human populations

The human immunoglobulin heavy chain constant (IGHC) domain of antibodies (Ab) is responsible for effector functions critical to immunity. This domain is encoded by genes in the IGHC locus, where descriptions of genomic diversity remain incomplete. We utilized long-read sequencing to build an IGHC haplotype/variant catalog from 105 individuals of diverse ancestry. We discovered uncharacterized single nucleotide variants (SNV) and large structural variants (SVs, n=7), representing new genes and alleles enriched for non-synonymous substitutions, highlighting potential functional effects. Of the 221 identified IGHC alleles, 192 were novel. SNV, SV, and gene allele/genotype frequencies revealed population differentiation, including (i) hundreds of SNVs in African and East Asian populations exceeding a fixation index (FST) of 0.3, and (ii) an IGHG4 haplotype carrying coding variants uniquely enriched in Asian populations. Our results illuminate missing signatures of IGHC diversity and establish a new foundation for investigating IGHC germline variation in Ab function and disease.

genomics↗

Behaviour of pyrethroid-resistant Anopheles gambiae at the interface of two dual active-ingredient bed nets, assessed by room-scale infrared video tracking

BackgroundThe success of Insecticide Treated Bednets (ITNs) for malaria vector control in Africa relies on the behaviour of the major malaria vectors, Anopheles species. Research into mosquito behavioural traits influencing the performance of ITNs has focused largely on time or location of biting. Here we investigated less tractable behaviours including timings of net contact, willingness to refeed and longevity post exposure to two next-generation nets, PermaNet(R) 3.0 (P3) and Interceptor(R) G2 (IG2) in comparison with a standard pyrethroid only net (Olyset (OL)) and an untreated net. MethodsSusceptible and resistant Anopheles gambiae mosquitoes were exposed to the nets with a human volunteer host in a room scale assay. Mosquito movements were tracked for two hours using an infrared video system, collecting flight trajectory, spatial position and net contact data. Post-assay, mosquitoes were monitored for a range of sublethal insecticide effects. ResultsOL, P3 and IG2 all killed over 90% of susceptible mosquitoes 24 hours after exposure, but this effect was not seen with resistant mosquitoes where mortality ranged from 16% to 72%. Total mosquito activity was higher around untreated nets than ITNs. There was no difference in total activity, the number, or duration, of net contact, between any mosquito strain, with similar behaviours recorded in susceptible and resistant strains at all ITNs. Net contact was focussed predominantly on the roof for all bednets. We observed a steep decay in activity for both susceptible strains when P3 and OL were present and with IG2 for one of the two susceptible strains. All treated nets reduced the willingness of resistant strains to re-feed when offered blood one-hour post-exposure, with a more pronounced effect seen with P3 and OL than IG2. ConclusionResults indicate that the effects of ITNs on mosquito behaviour are consistent, with no major differences in responses between strains of different pyrethroid susceptibility.

animal behavior and cognition↗

Characterization of the immunoglobulin lambda chain locus from diverse populations reveals extensive genetic variation

Immunoglobulins (IGs), crucial components of the adaptive immune system, are encoded by three genomic loci. However, the complexity of the IG loci severely limits the effective use of short read sequencing, limiting our knowledge of population diversity in these loci. We leveraged existing long read whole-genome sequencing (WGS) data, fosmid technology, and IG targeted single-molecule, real-time (SMRT) long-read sequencing (IG-Cap) to create haplotype-resolved assemblies of the IG Lambda (IGL) locus from 6 ethnically diverse individuals. In addition, we generated 10 diploid assemblies of IGL from a diverse cohort of individuals utilizing IG-cap. From these 16 individuals, we identified significant allelic diversity, including 37 novel IGLV alleles. In addition, we observed highly elevated single nucleotide variation (SNV) in IGLV genes relative to IGL intergenic and genomic background SNV density. By comparing SNV calls between our high quality assemblies and existing short read datasets from the same individuals, we show a high propensity for false-positives in the short read datasets. Finally, for the first time, we nucleotide-resolved common 5-10 Kb duplications in the IGLC region that contain functional IGLJ and IGLC genes. Together these data represent a significant advancement in our understanding of genetic variation and population diversity in the IGL locus.

genetics↗

Gene Family Complexity and Expression Divergence as a Mechanism of Adaptation In Coral

Gene family complexity and its influence on expression dynamics has long been theorized to be an important source of adaptation in natural systems through providing novel genetic material and influencing gene dosage. There is now growing empirical support for this theory; however, this process has only been demonstrated in a limited number of systems typically using recently diverged species or populations. In particular, examples of how this process operates in basal animals with deeper species splits has not been well explored. To address this issue, we investigated the evolution of gene family complexity in five species of common Caribbean coral. We demonstrate widespread divergence in gene repertoires owing to slow rates of gene turnover occurring along deep species splits. The resulting differences in gene family complexity involve numerous biologic processes, shedding light on to the selective forces that have influenced the evolution of each species. By coupling these findings with gene expression data, we show that increased gene family complexity promotes increased expression divergence between species, indicating an interplay between gene family complexity and expression divergence. Finally, we show that immune genes are evolving particularly fast demonstrating the importance of interactions with other organisms in the evolutionary history of Caribbean corals. Overall, these findings provide support for gene copy number change as an important evolutionary force in Caribbean corals, which may influence their ability to persist in a rapidly changing environment.

genomics↗

A novel framework for characterizing genomic haplotype diversity in the human immunoglobulin heavy chain locus

An incomplete ascertainment of genetic variation within the highly polymorphic immunoglobulin heavy chain locus (IGH) has hindered our ability to define genetic factors that influence antibody and B cell mediated processes. To date, methods for locus-wide genotyping of all IGH variant types do not exist. Here, we combine targeted long-read sequencing with a novel bioinformatics tool, IGenotyper, to fully characterize genetic variation within IGH in a haplotype-specific manner. We apply this approach to eight human samples, including a haploid cell line and two mother-father-child trios, and demonstrate the ability to generate high-quality assemblies (>98% complete and >99% accurate), genotypes, and gene annotations, including 2 novel structural variants and 16 novel gene alleles. We show that multiplexing allows for scaling of the approach without impacting data quality, and that our genotype call sets are more accurate than short-read (>35% increase in true positives and >97% decrease in false-positives) and array/imputation-based datasets. This framework establishes a foundation for leveraging IG genomic data to study population-level variation in the antibody response.

genomics↗