Biology subjects

Hawkins, J. A.

Publications and source records attributed to Hawkins, J. A..

11 recordsLinked to original sources

bioRxiv2025

Direct detection of CRISPR mutations and transcriptional responses at single cell resolution in vivo

CRISPR screens coupled with single-cell RNA sequencing are transforming high-throughput functional genomics. However, applications in vivo remain limited and are confounded by difficulties in identifying and genetically characterizing edited cells. Here we present scPT-seq, a single-cell RNA assay that resolves CRISPR-induced mutations at base-pair resolution and captures transcriptional responses in the same single cells in vivo. scPT-seq comes with a computational analysis suite enabling haplotype-resolved mutation detection and characterization of complex editing outcomes, including splice-junction variation. Applied to the Drosophila intestine, a highly regenerative tissue, scPT-seq distinguishes cell-autonomous from environmental effects by identifying mutant and wild-type cells within tissues, and reveals spatially organized compensatory mechanisms in response to mutations. By using editing outcomes as heritable clonal markers, we identified distinct intestinal stem cell populations with specialized differentiation trajectories. In summary, scPT-seq provides a versatile technology for dissecting gene function and lineage dynamics in complex tissues.

molecular biology↗

bioRxiv2025

Phylogeny, ethnomedicinal use and the distribution of phytoestrogens in the Fabaceae

Aim of the studyEthnomedicinal knowledge is a critical resource for drug discovery, and when combined with phylogenetic analysis, it increases the precision of bioprospecting. Phytoestrogens, compounds from plants with estrogenic activity, are commonly found across the Fabaceae family and hold the potential for managing menopause-related symptoms. This study focuses on methods to identify novel sources of phytoestrogens from the Fabaceae. Materials and MethodsWe identified 183 Fabaceae species traditionally used as aphrodisiacs or with application to control fertility to create a cross-cultural dataset of ethnomedicinal use. Phylogenetic analysis revealed "hot nodes"--lineages with a higher-than-expected number of species with these traits. The known distribution of estrogenic flavonoids was used to test whether the frequency of phytoestrogen-containing species was higher in "hot nodes". Additionally, we examined the overlap of aphrodisiac-fertility uses with neurological applications, hypothesising that such species may have bioactive compounds with estrogenic properties. Lastly, the "hot-node" lineages without previously known estrogenic flavonoids were identified. ResultsSpecies in hot nodes were more likely to contain estrogenic flavonoids (21% of species), a major group of phytoestrogens, compared to Fabaceae as a whole (7% of species). Moreover, aphrodisiac-fertility species with neurological applications showed even higher search efficiency, with 62% of such species confirmed to contain estrogenic flavonoids. Furthermore, we identified 43 high-priority hot nodes including several notable genera such as Delonix and Indigofera. These lineages might represent promising targets for future studies on phytoestrogens. ConclusionsThe results demonstrated the predictive power of combining phylogenetic and ethnomedicinal data to guide the discovery of novel drugs with therapeutic potential for menopause, fertility, and neurological health.

plant biology↗

bioRxiv2024

Pathogenic mechanisms of Plasmodium falciparum egress unveiled by a microvascular 3D blood-brain barrier model

Cerebral malaria is a severe neurovascular complication of Plasmodium falciparum infection, with high mortality rates even after treatment with effective antimalarials. Limitations in current experimental models have hindered our knowledge of the disease. We developed a 3D blood-brain barrier (BBB) model with enhanced barrier properties using primary brain endothelial cells, astrocytes and pericytes. Exposure to parasite egress products increased microvascular permeability, likely due to transcriptional downregulation of junctional and vascular development genes in endothelial cells. In addition, it increased the expression of ferroptosis markers, antigen presentation and type I interferon genes and upregulated the JAK-STAT pathway across all BBB cell types. Incubation with cytoadherent schizont-stage P. falciparum-infected erythrocytes induced a similar, but highly localized transcriptional shift, along with inter-endothelial gaps at sites of parasite egress, significantly increasing permeability. The co-administration of egress products with the JAK-STAT inhibitor Ruxolitinib prevented junctional disruption and BBB breakdown. These findings provide key insights into the parasite-mediated mechanisms driving brain microvascular pathogenesis in cerebral malaria and suggest potential avenues for adjunctive therapies.

microbiology↗

bioRxiv2024

Functional phenotyping of genomic variants using multiomic scDNA-scRNA-seq

Genomic variation ranging from single nucleotide polymorphisms to structural variants can impact gene function and expression, contributing to disease mechanisms such as cancer progression. The systematic study of this variation is hindered by inefficient precision editing tools making it challenging to confidently link genotype and gene expression in pooled screens. Additionally, assessing heterogenous variants in primary tumor samples at scale is difficult with current single-cell technologies. We developed droplet-based multiomic targeted scDNA-scRNAseq (SDR-seq) to precisely link genotypes with gene expression profiles in high-throughput. SDR-seq simultaneously assesses up to 480 RNA and gDNA targets with high coverage and sensitivity across thousands of cells. Using SDR-seq, we associate coding and non-coding variants with distinct gene expression profiles in human iPSCs. Furthermore, we demonstrate that in primary B-cell lymphoma samples, cells with a higher mutational burden exhibit elevated B-cell receptor signaling and tumorigenic gene expression. SDR-seq has broad potential for gaining functional insights into regulatory mechanisms encoded by genetic variants at diverse loci, advancing our ability to study gene expression regulation and its implications for disease.

molecular biology↗

bioRxiv2023

Ethnopharmacological disease classification and bioprospecting: the diversity of plant drugs used to treat cancer

Cancer is a highly-diverse disease and as the second-leading cause of death worldwide is a focus of drug discovery research. Natural products have been shown to be a useful source of novel molecules for the treatment of cancer. It is likely there are many plants with undiscovered molecules of therapeutic value, however identifying new leads from among the vast diversity of plants is very challenging. Traditional knowledge might inform bioprospecting by predicting lineages of plants rich in therapeutically useful molecules. Here, we characterise the phylogenetic diversity of plants used traditionally to manage cancer. We demonstrate the independent and repeated targeting of specific lineages of plants by different peoples in different parts of the world. That the same lineages are used to treat different cancers is suggestive of independent discovery of therapeutic value. However, the lineages we report here as rich in plants used traditionally to treat cancer coincide with those for other ethnobotanical applications, and contain few plants with proven anti-cancer activity. It is likely that the traditional knowledge recorded and explored here is shaped by selection of plants conferring milder effects for treating wider symptoms, such as tiredness or nausea, rather than for halting tumour growth. Accurate prediction of useful plant lineages for cancer management requires more nuanced information than is commonly provided in ethnobotanical records.

evolutionary biology↗

bioRxiv2022

Phylogenetic reconstructions of Polynesian medicinal plant use reveal adaptive strategies to meet health needs

Modern migrants using plants to meet their health needs are known to conserve traditional knowledge, but also to innovate to adapt to their new environment. The voyage into Polynesia is amongst the most remarkable of human migrations, resulting in the peopling of isolated, difficult to reach archipelagos. We use this context to determine the role for adaptation in plant-based healthcare at pre-historic timescales. Testing the extent to which the new floristic environments encountered, cultural ancestry or geographic proximity predict the composition of ethnopharmacopoeias, we reveal adaptation to new floristic environments across seven oceanic ethnolinguistic groups. Reconstructions using data that encompass therapeutic applications and plant parts reveal more than three quarters of the plants used cross-culturally have use likely to be innovations by the first migrants into Oceania. For the other plants, there are non-tree-like patterns in therapeutic applications and plant parts used, showing that even when plants have continuity of use there is lability in how they are used. Applying linguistic criteria to the plants with putatively deep cultural uses, we find two, qaoa (Ficus) and walo-walo (Premna), that are highly conserved in therapeutic use, plant part used and with cognate names. Our study highlights the remarkable flexibility of Polynesian people seeking to meet health needs.

evolutionary biology↗

bioRxiv2021

Massively Parallel Selection of NanoCluster Beacons

NanoCluster Beacons (NCBs) are multicolor silver nanocluster probes whose fluorescence can be activated or tuned by a proximal DNA strand called the activator. While a single-nucleotide difference in a pair of activators can lead to drastically different activation outcomes, termed the polar opposite twins (POTs), it is difficult to discover new POT-NCBs using the conventional low-throughput characterization approaches. Here we report a high-throughput selection method that takes advantage of repurposed next-generation-sequencing (NGS) chips to screen the activation fluorescence of [~]40,000 activator sequences. We find the nucleobases at positions 7-12 of the 18-nucleotide-long activator are critical to creating bright NCBs and positions 4-6 and 2-4 are hotspots to generate yellow and red POTs, respectively. Based on these findings, we propose a "zipper bag model" that explains how these hotspots lead to the creation of distinct silver cluster chromophores and contribute to the difference in chromophore chemical yields. Combining high-throughput screening with machine learning algorithms, we establish a pipeline to rationally design bright and multicolor NCBs.

bioengineering↗

bioRxiv2020

A mechanistic model improves off-target predictions and reveals the physical basis of SpCas9 fidelity

The S. pyogenes (Sp) Cas9 endonuclease is an important gene-editing tool. SpCas9 is directed to target sites via a single guide RNA (sgRNA). However, SpCas9 also binds and cleaves genomic off-target sites that are partially matched to the sgRNA. Here, we report a microscopic kinetic model that simultaneously captures binding and cleavage dynamics for SpCas9 and Sp-dCas9 in free-energy terms. This model not only outperforms state-of-the-art off-target prediction tools, but also details how Sp-Cas9s structure-function relation manifests itself in binding and cleavage dynamics. Based on the biophysical parameters we extract, our model predicts SpCas9s open, intermediate, and closed complex configurations and indicates that R-loop progression is tightly coupled with structural changes in the targeting complex. We show that SpCas9 targeting kinetics are tuned for extended sequence specificity while maintaining on-target efficiency. Our extensible approach can characterize any CRISPR-Cas nuclease - benchmarking natural and future high-fidelity variants against SpCas9; elucidating determinants of CRISPR fidelity; and revealing pathways to increased specificity and efficiency in engineered systems.

biophysics↗

bioRxiv2020

Ontogeny and function of the circadian clock in intestinal organoids

Circadian rhythms regulate diverse aspects of gastrointestinal physiology ranging from the composition of microbiota to motility. However, development of the intestinal circadian clock and detailed molecular mechanisms regulating circadian physiology of the intestine remain largely unknown. The lack of appropriate human model systems that enable organ- and/or diseasespecific interrogation of clock functions is a major obstacle hindering advancements of translational applications using chronotherapy. In this report, we show that both pluripotent stem cell-derived human intestinal organoids engrafted into mice and patient-derived human intestinal enteroids (HIEs) possess robust circadian rhythms, and demonstrate circadian phase-dependent necrotic cell death responses to Clostridium difficile toxin B (TcdB). Intriguingly, mouse and human enteroids demonstrate anti-phasic necrotic cell death responses. RNA-Seq data show ~4% of genes are rhythmically expressed in HIEs. Remarkably, we observe anti-phasic gene expression of Rac1, a small GTPase directly inactivated by TcdB, between mouse and human enteroids. Importantly, the observed circadian time-dependent necrotic cell death response is abolished in both mouse enteroids and human intestinal organoids (HIOs) lacking robust circadian rhythms. Our findings uncover robust functions of circadian rhythms regulating critical clock-controlled genes (CCGs) in human enteroids governing organism-specific, circadian phasedependent necrotic cell death responses. Our data highlight unique differences between mouse and human enteroids, and lay a foundation for human organ- and disease-specific investigation of clock functions using human organoids for translational applications.

molecular biology↗

bioRxiv2019

Massively parallel kinetic profiling of natural and engineered CRISPR nucleases

Engineered Streptococcus pyogenes (Sp) Cas9s and Acidaminococcus sp. (As) Cas12a (formerly Cpf1) improve cleavage specificity in human cells. However, the fidelity, enzymatic mechanisms, and cleavage products of emerging CRISPR nucleases have not been profiled systematically across partially mispaired off-target DNA sequences. Here, we describe NucleaSeq-- nuclease digestion and deep sequencing--a massively parallel platform that measures cleavage kinetics and captures the time-resolved identities of cleaved products for more than ten thousand DNA targets that include mismatches, insertions, and deletions relative to the guide RNA. The binding specificity of each enzyme is measured on the same DNA library via the chip-hybridized association mapping platform (CHAMP). Using this integrated cleavage and binding platform, we profile four SpCas9 variants and AsCas12a. Engineered Cas9s retain wtCas9-like off-target binding but increase cleavage specificity; Cas9-HF1 shows the most dramatic increase in cleavage specificity. Surprisingly, wtCas12a--reported as a more specific nuclease in cells--has cleavage specificity similar to wtCas9 in vitro. Initial cleavage position and subsequent end-trimming vary across nucleases, guide RNA sequences, and position and base identity of mispairs in target DNAs. Using these large datasets, we develop a biophysical model that reveals mechanistic insights into off-target cleavage activities by these nucleases. More broadly, NucleaSeq enables rapid, quantitative, and systematic comparison of the specificities and cleavage products of engineered and natural nucleases.

molecular biology↗

bioRxiv2018

Error-correcting DNA barcodes for high-throughput sequencing

Many large-scale high-throughput experiments use DNA barcodes--short DNA sequences prepended to DNA libraries--for identification of individuals in pooled biomolecule populations. However, DNA synthesis and sequencing errors confound the correct interpretation of observed barcodes and can lead to significant data loss or spurious results. Widely-used error-correcting codes borrowed from computer science (e.g., Hamming and Levenshtein codes) do not properly account for insertions and deletions in DNA barcodes, even though deletions are the most common type of synthesis error. Here, we present and experimentally validate FREE (Filled/truncated Right End Edit) barcodes, which correct substitution, insertion, and deletion errors, even when these errors alter the barcode length. FREE barcodes are designed with experimental considerations in mind, including balanced GC content, minimal homopolymer runs, and reduced internal hairpin propensity. We generate and include lists of barcodes with different lengths and error-correction levels that may be useful in diverse high-throughput applications, including >106 single-error correcting 16-mers that strike a balance between decoding accuracy, barcode length, and library size. Moreover, concatenating two or more FREE codes into a single barcode increases the available barcode space combinatorially, generating lists with > 1015 error-correcting barcodes. The included software for creating barcode libraries and decoding sequenced barcodes is efficient and designed to be user-friendly for the general biology community.\n\nSIGNIFICANCE STATEMENTModern high-throughput biological assays study pooled populations of individual members by labeling each member with a unique DNA sequence called a \"barcode.\" DNA barcodes are frequently corrupted by DNA synthesis and sequencing errors, leading to significant data loss and incorrect data interpretation. Here, we describe a novel error-correction strategy to improve the efficiency and statistical power of DNA barcodes. To our knowledge, this is the first report of an error-correcting method that accurately handles insertions and deletions in DNA barcodes, the most common type of error encountered during DNA synthesis and sequencing, resulting in order-of-magnitude increases in accuracy, efficiency, and signal-to-noise. The accompanying software package makes deployment of these barcodes effortless for the broader experimental scientist community.

molecular biology↗