Biology subjects

Zeglinski, K.

Publications and source records attributed to Zeglinski, K..

10 recordsLinked to original sources

bioRxiv2026

Nanobodies against Plasmodium vivax AMA1 block parasite invasion

Plasmodium vivax is the most widespread malaria species to infect human populations. P. vivax invades young red cells called reticulocytes to replicate and proliferate. An essential protein in parasite invasion is the Apical Membrane Antigen 1, PvAMA1, which forms the tight junction between parasite and red cell membrane through its interaction with Rhoptry Neck Protein 2, PvRON2. Here we report the identification of PvAMA1 nanobodies using phage display in combination with Sanger sequencing, next-generation sequencing and structure prediction tools. We show that these nanobodies bind with high affinities and across several different epitopes on PvAMA1. Several nanobodies recognize PvAMA1 in merozoites of late-stage schizonts and inhibit parasite invasion of red blood cells. These growth inhibitory nanobodies bind to conformational epitopes of PvAMA1 and most bind to a site distinct from a known potent human monoclonal antibody 826827. Crystal structures of two inhibitory nanobodies in complex with PvAMA1 show that they bind novel neutralizing epitopes which are outside the hydrophobic groove that contacts PvRON2. Furthermore, we show that two other PvAMA1 nanobodies also inhibit Plasmodium falciparum invasion. These results demonstrate the potential of PvAMA1 nanobodies to inhibit malaria parasite invasion across multiple Plasmodium species.

microbiology↗

bioRxiv2026

Nanobodies against Plasmodium adhesins that block receptor engagement and malaria parasite invasion

Malaria is caused by Plasmodium parasites, and its clinical symptoms are a result of parasite invasion of red blood cells and the subsequent cycles of replication and proliferation. In human populations, Plasmodium vivax is responsible for the most widely distributed recurring malaria infections whereas Plasmodium falciparum inflicts the most mortality and morbidity. One well-characterized family of adhesins involved in red blood cell invasion is the reticulocyte-binding-like protein homolog family, known as the RBL superfamily which includes the PfRh family in P. falciparum and PvRBP family in P. vivax. Here we report a collection of nanobodies against three members of this adhesin family, PfRh5, PfRh4 and PvRBP2b. Nanobodies against these Plasmodium adhesins bind with high affinity across several epitopes and can block receptor engagement and inhibit parasite invasion of red blood cells. Using computational design, we generated stabilized PfRh4 variants that encompass the conserved scaffold present in the PfRh and PvRBP families of adhesins and show that several variants with improved expression retained binding to mouse monoclonal antibodies, nanobodies and Complement Receptor 1, the human receptor for PfRh4. We also observed that most of the inhibitory nanobodies against the three antigens recognized the conserved structural scaffold that define this family of adhesins. These results demonstrate the potential of nanobodies to block malaria parasite invasion into red blood cells.

microbiology↗

bioRxiv2025

Crystal structure and nanobodies against domain 3 of the malaria parasite fusogen Plasmodium falciparum HAP2

Malaria parasites are transmitted to humans through a bite from an infected female Anopheles mosquito. Within the mosquito midgut, malaria parasite gametes are activated and undergo fertilisation. If parasite fertilisation is perturbed, this stops the transmission of malaria parasites from mosquito to human. One proposed target of transmission-blocking interventions is Plasmodium falciparum fusogen PfHAP2, which is essential for gamete fusion during parasite fertilisation. However, to date, no monoclonal antibodies or structures of PfHAP2 have been generated. We have identified nanobodies that bind specifically to domain 3 of PfHAP2 with nanomolar affinities, two of which show some cross-species reactivity with HAP2 of other Plasmodium species. The crystal structure of one nanobody in complex with domain 3 of PfHAP2 provides the first structural insights into this transmission-blocking target in P. falciparum.

microbiology↗

bioRxiv2025

Powerful read processing with matchbox

The wide variety of protocols and applications for DNA and RNA sequencing makes flexible tools for read processing an important step in sequence analysis. Beyond trimming and demultiplexing, custom read-level processing is commonly required for data exploration, QC and analysis. Existing tools are often task-specific and dont generalise to new bioinformatic problems. Thus, there is a need for a tool flexible enough to handle the full variety of read processing tasks, and fast and scalable enough to retain high performance on growing sequencing datasets. We introduce matchbox, a read processor that enables fluent manipulation and analysis of FASTA/FASTQ/SAM/BAM files. With a lightweight scripting language designed around error-tolerant pattern-matching, users can write their own matchbox scripts to tackle a wide variety of bioinformatic problems, and incorporate them into existing pipelines and work-flows. We demonstrate matchboxs versatility in a number of contexts: demultiplexing long-read scRNA-seq data with 10X or SPLiT-seq barcodes; restranding RNA-seq reads; assessing CRISPR editing efficiency; and haplotyping macrosatel-lite repeat regions. matchbox achieves a computational performance comparable to existing tools, while addressing a broader range of bioinformatic needs, representing a new state-of-the-art in sequence processing. matchbox is implemented in Rust and available open-source at https://github.com/jakob-schuster/matchbox.

bioinformatics↗

bioRxiv2025

alpseq: an open-source workflow to turbocharge nanobody discovery with high-throughput sequencing

Nanobodies have emerged as promising tools for many biotechnological applications due to their small size, high stability, and remarkable binding specificity. Next-Generation Sequencing (NGS) enables deep profiling of large nanobody libraries and panning campaigns, however the scale and diversity of nanobody NGS datasets presents a significant bioinformatic challenge. To this end, we have developed alpseq, an optimised, open-source software pipeline designed specifically for the efficient and accurate processing of NGS data from nanobody libraries and panning campaigns. alpseq is also paired with a PCR-free sequencing library preparation protocol to allow researchers to easily generate their own data while avoiding biases. The alpseq software pipeline is composed of two parts: a pre-processing module written in Nextflow efficiently handles raw nanobody reads in a single line of code. These results are then fed into the analysis module, which contains a comprehensive suite of functions for quality control, diversity analysis, identification of enriched sequences and clustering. alpseq also creates a user-friendly interactive report which empowers scientists to explore their data without the need for extensive bioinformatic experience. Sophisticated panning campaign designs are supported, such as replicates and comparisons between different pans to find cross-binding leads. alpseq thus generates insights into the nanobody selection process and delivers a list of lead candidates for further experimental validation and downstream applications. alspeq is available at https://github.com/kzeglinski/alpseq.

bioinformatics↗

bioRxiv2025

Igniting full-length isoform analysis in single-cell and spatial RNA-seq data with FLAMESv2

Long-read single-cell RNA-sequencing enables the profiling of RNA isoform expression and alternative splicing at single cell resolution. However, diverse single-cell technologies and sparse isoform data demand flexible and accurate analysis tools. We introduce FLAMESv2, a highly modular and protocol-agnostic R/Bioconductor package for long-read single-cell RNA-seq data analysis. FLAMESv2 supports a wide range of single-cell and spatial protocols, is highly configurable, scales to allow multi-sample analysis and provides versatile visualisation and analysis outputs. We demonstrate its compatibility with both droplet-based and combinatorial barcoding single-cell methods, as well as spatial transcriptomics workflows. Benchmarking confirms FLAMESv2 achieves field-leading performance across key analysis tasks. Applying FLAMESv2 to in vitro differentiation of stem cells into neurons, we identify cell-types, differentiation trajectories, expression of annotated and novel isoforms and isoform expression diversity and heterogeneity within individual cells. FLAMESv2 provides a comprehensive, flexible approach to analysing long-read single-cell RNA-sequencing, unlocking this powerful methodology for RNA isoform characterisation.

bioinformatics↗

bioRxiv2025

Benchmarking long-read RNA-sequencing technologies with LongBench: a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches

Long-read RNA sequencing enables full-length transcript profiling and improved isoform resolution, but variable platforms and evolving chemistries demand careful benchmarking for reliable application. We present LongBench, a matched, multi-platform reference dataset spanning bulk, single-cell, and single-nucleus transcriptomics across eight human lung cancer cell lines with synthetic spike-in controls. LongBench in-corporates three state-of-the-art long-read protocols alongside Illumina short reads: Oxford Nanopore Technologies (ONT) PCR-cDNA, ONT direct RNA, and PacBio Kinnex. We systematically evaluate transcript capture, quantification accuracy, differential expression, isoform usage, variant detection, and allele-specific analyses. Our results show high concordance in gene-level differential analyses across protocols, but reduced consistency for transcript-level and isoform analyses due to length- and platform-dependent biases. Single-cell long-read data are highly concordant with bulk for high-confidence features, though single-nuclei data show reduced feature detection. LongBench provides one of the largest publicly available long-read benchmarking resources, enabling rigorous cross-platform evaluation and guiding technology selection for transcriptomic research.

genomics↗

bioRxiv2025

Pfs48/45 nanobodies block Plasmodium falciparum transmission

Malaria parasite fertilisation occurs within the Anopheles mosquito midgut. Interventions that inhibit parasite fertilisation prevent ongoing transmission and are important for malaria elimination efforts. Pfs48/45 and Pfs230 are two leading transmission-blocking vaccine candidates. Both proteins form a complex on the surface of sexual stage parasites and are essential for male fertility. Here we have identified nanobodies against Pfs48/45 that recognise gametocytes and have strong transmission-reducing activity. The crystal structure of our most potent nanobody in complex with Pfs48/45 reveals it binds a distinct epitope to TB31F, a leading transmission-blocking monoclonal antibody. In addition, we generated bispecific nanobodies that can target both Pfs48/45 and Pfs230 simultaneously and are fused to a human Fc domain. Our results show that these bispecific nanobodies recognise both Pfs48/45 and Pfs230 and reduce malaria parasite fertilisation in Anopheles stephensi. These results demonstrate the potential of nanobodies as a versatile antibody format that can reduce malaria transmission. Author SummaryMalaria is spread when an infected Anopheles mosquito bites a human. Within the female Anopheles mosquito, malaria parasite fertilisation occurs in the mosquito midgut. If you inhibit parasite fertilisation in the mosquito, you can prevent onward transmission of the malaria parasite from mosquito to humans. Transmission blocking vaccines work by stopping parasite fertilisation and development in the mosquito and are key for malaria elimination by preventing community spread. Pfs48/45 and Pfs230 are two leading transmission-blocking vaccine candidates, and both are critical for male fertility. Here we describe the generation of nanobodies that target Pfs48/45. We show that when nanobodies against Pfs48/45 were added to infected blood meals for Anopheles mosquitoes, the nanobodies significantly reduced parasite transmission. In addition, we generated bispecific nanobodies that target both Pfs48/45 and Pfs230 and these bispecific nanobodies also significantly reduced oocyst development. Our work demonstrates the potential of nanobodies as a versatile antibody format that can reduce malaria transmission.

microbiology↗

bioRxiv2025

Cryo-EM structure of endogenous Plasmodium falciparum Pfs230 and Pfs48/45 fertilization complex

Plasmodium falciparum Pfs230 and Pfs48/45, part of a core fertilization complex, are leading malaria transmission-blocking vaccine candidates. However, how the two proteins interact is unknown. Here we report a 3.36 [A] resolution cryo-electron microscopy structure of the endogenous Pfs230-Pfs48/45 complex. We show that Pfs48/45 interacts with Pfs230 domains 13 and 14, domains that are not included in current Pfs230 vaccine immunogens. Using a transgenic parasite line with a domain 13 to 14 deletion, we show that these domains are essential for Pfs230 localization on the gamete surface. Furthermore, this line significantly reduced oocyst formation in the mosquito midgut, showing that the presence of Pfs230 domains 13 and 14 is critical for successful fertilization. Nanobodies against domains 13 and 14 inhibit Pfs230-Pfs48/45 complex formation, reduce transmission and structural analyses reveal their binding epitopes. Furthermore, domains 13 and 14 are targets of naturally acquired immunity and when delivered as mRNA-LNP immunizations induce potent immune responses and blocked transmission of malaria parasites. Our comprehensive structural insights on a core P. falciparum fertilization complex will guide the design of novel transmission-blocking vaccine candidates against malaria.

microbiology↗

bioRxiv2023

An optimised protocol for quality control of gene therapy vectors using Nanopore direct RNA sequencing

Despite recent advances made towards improving the efficacy of lentiviral gene therapies, a sizeable proportion of produced vector contains an incomplete and thus potentially nonfunctional RNA genome. This can undermine gene delivery by the lentivirus as well as increase manufacturing costs and must be improved to facilitate the widespread clinical implementation of lentiviral gene therapies. Here, we compare three long-read sequencing technologies for their ability to detect issues in vector design and determine Nanopore direct RNA sequencing to be the most powerful. We show how this approach identifies and quantifies incomplete RNA caused by cryptic splicing and polyadenylation sites, including a potential cryptic polyadenylation site in the widely used Woodchuck Hepatitis Virus Posttranscriptional Regulatory Element (WPRE). Using artificial polyadenylation of the lentiviral RNA, we also identify multiple hairpin-associated truncations in the analysed lentiviral vectors, which account for most of the detected RNA fragments. Finally, we show that these insights can be used for optimization of lentiviral vector design. In summary, Nanopore direct RNA sequencing is a powerful tool for the quality control and optimisation of lentiviral vectors, which may help to improve lentivirus manufacturing and thus the development of higher quality lentiviral gene therapies.

genomics↗