Biology subjects

Armstrong, J.

Publications and source records attributed to Armstrong, J..

At least 19 recordsLinked to original sources

bioRxiv2026

EndoMT: An R Package Resource for Endothelial-Mesenchymal Transition Gene Set Enrichment Analysis

Introduction: Endothelial-mesenchymal transition (EndoMT) is a dynamic endothelial cell-state transition increasingly implicated in fibrosis, vascular dysfunction, inflammation and cancer. Despite expansion of EndoMT-focused transcriptomic research, EndoMT representation remains limited to broader epithelial-mesenchymal transition (EMT) frameworks in standard gene set repositories. Methods: To address the absence of a general-purpose EndoMT gene set for transcriptomic enrichment analysis, we developed an open EndoMT gene set resource and accompanying R package. A literature-informed EndoMT gene set was curated and directionally assigned to EndoMT UP and EndoMT DOWN signatures according to reported or hypothesised expression during partial EndoMT, defined here as an active transitional state rather than a complete mesenchymal endpoint, to improve capture of EndoMT-associated transcriptional changes across different stages of the process. Genes were annotated by marker subtype and implemented as Gene Matrix Transposed files distributed through the R package, together with exported R objects and gene-level metadata. Benchmarking was performed using bulk RNA-seq data sets GSE118446, comprising seven-day IL-1l{beta}/TGF-{beta}2-treated human umbilical vein endothelial cells (HUVECs) and human pulmonary arterial endothelial cells, and GSE342578, comprising three-day TGF-{beta}1/2/3-treated HUVECs; single-cell RNA-seq data set GSE237895, comprising seven-day TGF-{beta}1-treated and SNAI1-overexpressing HUVECs; and endothelial cell and cancer-associated fibroblast populations from human metastatic melanoma single-cell RNA-seq data set GSE72056. Results: In GSE118446, EndoMT UP was positively enriched and EndoMT DOWN negatively enriched in chronically IL-1{beta}/TGF-{beta}2-treated endothelial cells, concordant with experimentally validated EndoMT induction, while partial EndoMT-associated enrichment was detected in single ligand-treatment. In contrast, EndoMT UP was negatively enriched following acute TGF-{beta}1/2/3 treatment, suggesting temporal differences between acute TGF-{beta} stimulation and chronic EndoMT induction. In GSE237895 mesenchymal-like endothelial cells, EndoMT UP was positively enriched and EndoMT DOWN negatively enriched in both TGF-{beta}1-treated and SNAI1-overexpressing models. EndoMT gene sets also discriminated endothelial and mesenchymal/stromal transcriptional states in GSE72056 metastatic melanoma. Marker subtype and Gene Ontology Biological Process analyses provided additional exploratory resolution of EndoMT-associated components beyond MSigDB Hallmark EMT. Discussion: The EndoMT R package provides a dedicated, accessible and interoperable resource for EndoMT-focused transcriptomic enrichment analysis. Benchmarking demonstrates utility for detecting established, partial and divergent EndoMT-associated states, supporting broad applicability across EndoMT biology research.

bioinformatics↗

bioRxiv2026

Endothelial AMBRA1 loss contributes to vascular dysregulation facilitating metastatic progression in early-stage melanoma

Validated biomarkers for identifying patients with early-stage melanomas at high risk of metastasis are limited. We have previously shown that loss of Activating Molecule in Beclin-1-Regulated Autophagy (AMBRA1) and loricrin in the epidermal microenvironment is associated with tumour recurrence. Here we show that endothelial AMBRA1 deficiency contributes to vascular dysfunction and melanoma progression. Melanoma-conditioned media or exposure to TGF{beta}1-3 ligands induced post-transcriptional loss of AMBRA1 in endothelial cells. Transcriptomic profiling in both in vitro and human melanoma single-cell RNA sequencing datasets showed activation of cell-cycle and metabolic programmes alongside suppression of endothelial junction, adhesion and immune-supportive pathways in AMBRA1-deficient endothelial cells. Functionally, AMBRA1 loss increased endothelial cell proliferation, accelerated early tubulogenesis, impaired three-dimensional spheroid adhesion, stabilised endothelial-to-mesenchymal transition-associated transcription factors Slug and Snail, and reduced Claudin-5, VE-cadherin and N-cadherin, indicative of endothelial plasticity and dysfunction. Furthermore, loss of AMBRA1 in a subset of intratumoural and peritumoural blood and lymphatic vessels correlated significantly with metastatic progression in a cohort of 121 non-ulcerated primary AJCC stage I/II melanomas classified as AMBLor at-risk. Collectively, these findings position endothelial AMBRA1 as a regulator of vascular plasticity, dysfunction, and immune-supportive endothelial function in early-stage melanomas, and a marker of a permissive microenvironment associated with metastasis.

cancer biology↗

bioRxiv2026

Damping nonlinearity in agarose hydrogels under relative humidity: balancing network stiffness and energy dissipation

Sustainable, biodegradable elastomers are needed to replace fossil-based alternatives and reduce the environmental impact of traditional vibration damping materials. We investigate agarose-based hydrogels as eco-friendly vibration absorbers, examining the combined effects of polymer concentration (1-7 wt%), relative humidity (55-98%), and mechanical pre-stress on their dynamic mechanical properties. Frequency-dependent viscoelastic and vibration transmissibility tests, supported by Gaussian Process Regression (GPR), reveal that increasing agarose concentration enhances the storage modulus (E') by over an order of magnitude, reaching[~] 5 MPa depending on humidity and applied prestress. Remarkably, the damping efficiency--characterised by the loss factor (tan(d))--exhibits a highly non-monotonic trend. Maximum energy dissipation is observed at intermediate network densities, with tan(d) up to 0.21 and a loss modulus of[~] 515 kPa at 5 w% and 75% relative humidity, comparable to synthetic elastomers. GPR analysis shows that prestress controls nonlinear stiffening and transmissibility resonance behavior, while shifting peak damping from 5 wt% to 1 wt% agarose as prestress increases. These findings underscore the mechanical tunability and sustainability of agarose hydrogels, providing potential design guidance for biodegradable vibration mitigation materials.

bioengineering↗

bioRxiv2025

Expression and localization of NMDA receptor GluN2 subunits in dorsal horn pain circuits across sex, species, and late postnatal development

Despite being essential mediators of pain processing, the molecular identity of N-methyl-D-aspartate receptor (NMDAR) subtypes in nociceptive dorsal horn circuits is poorly understood, especially between sexes and in humans. Given the importance of GluN2 subunits in shaping NMDAR function and plasticity, we investigated the expression and localization of specific GluN2 NMDAR variants in the dorsal horn of viable spinal cord tissue from male and female rodents and human organ donors. Analysis of single-cell/nuclei sequencing datasets and quantitative reverse transcriptase polymerase chain reactions (qRT-PCR) revealed that the GluN2A (GRIN2A) and GluN2B (GRIN2B) subunits are robustly expressed in dorsal horn neurons of mice, rats and humans, with moderate expression of GluN2D (GRIN2D). Immunohistochemistry (IHC) with antigen retrieval demonstrated that GluN2A, GluN2B, and GluN2D proteins are all preferentially localized to the superficial dorsal horn of both adult rats and humans, which is conserved between males and females. Surprisingly, we found that these GluN2 NMDAR subunits are enriched in the lateral superficial dorsal horn in rats but not in humans, while presynaptic and neuronal markers are symmetrically distributed across the rat mediolateral axis. A dramatic shift in localization of GluN2A to the lateral superficial dorsal horn was observed across later postnatal development (PD21-PD90) in both male and female rats, with a corresponding change in synaptic NMDAR currents. This discovery of changes in NMDAR subunit distribution during maturation and between species will shed light on the physiological roles of NMDARs and their potential as therapeutic targets for pain. SIGNIFICANCE STATEMENTWe used complementary single-cell/nuclei analysis, immunostaining, quantitative reverse transcriptase polymerase chain reactions, RNAscope in situ hybridization, and electrophysiological approaches to compare the relative expression of N-methyl-D-aspartate receptor (NMDAR) GluN2 subunits in dorsal horn spinal cord pain circuits of mouse, rat, and human spinal cord tissue. Through these comparisons, we find that the transcripts and proteins of the GluN2A, GluN2B, and GluN2D NMDAR subunits are robustly expressed in superficial dorsal horn neurons, with conserved expression across sex but important differences in expression and localization patterns across late development and between species. These discoveries shed light on the physiological roles of NMDARs and their utility as potential therapeutic targets for pain.

neuroscience↗

bioRxiv2025

Beyond the Genotype: A Multi-Omic Analysis of APOEe4's Role in Alzheimer's Disease

Alzheimers disease (AD) is characterized by widespread molecular dysregulation, with the APOEe4 allele recognized as its strongest genetic risk factor. However, the mechanisms by which APOEe4 drives distinct molecular changes - whether by exacerbating pathology or triggering compensatory responses - remain incompletely understood. We generated and analyzed proteomic, epigenetic, and genetic data from post-mortem dorsolateral prefrontal cortex samples of a uniquely APOEe4-enriched subset of the Religious Orders Study and Memory and Aging Project (ROSMAP). Specifically, we generated DIA LC-MS proteomic data (n = 302), analyzed previously generated DNA methylation profiles from our group (n = 310), and used published whole-genome sequencing data (n = 254) to compute polygenic risk scores (PRS). In this cohort, 69% (n = 214) were APOEe4 carriers, and 19.6% (n = 42) of them showed no pathological evidence of AD based on NIA-Reagan criteria, enabling identification of APOEe4-related risk and resilience mechanisms. In the absence of AD, APOEe4 carriers exhibited lower levels of 27 proteins, suggesting early synaptic (e.g., VAMP1, SYN3, CASKIN1) and metabolic (e.g., GLUD1, PI4KA) vulnerability. By contrast, APOEe4 carriers with AD displayed marked upregulation of inflammatory and proteostatic proteins (e.g., GNAO1, AHNAK, FGG, HEBP1, APEX1, RAB4A, SLC12A5, LRP1, BAG6) and hypermethylation of cg06329447 in ELAVL4. Network analyses highlighted convergent disruptions in synaptic transmission, metabolism, and proteostasis - key pathways altered in APOEe4-associated AD. Mediation analyses identified GRIPAP1 and GSTK1 as top protein mediators (accounting for [~]26-33% of APOEe4s effect), with VAMP1, CASKIN1, DPP3, SYN3, and FGG each contributing [~]9-15%. ELAVL4 hypermethylation also mediated [~]12% of the APOEe4 effect, linking epigenetic dysregulation to disease risk. To assess whether the identified proteins reflected broader genetic risk for AD or were specific to APOEe4, we calculated PRS both excluding and including the APOE genomic region. While the non-APOE PRS showed no association with identified molecular markers, the APOE-inclusive PRS was significantly associated with eight AD-related proteins in carriers, indicating they are not explained by polygenic risk outside of APOE. Finally, predictive modeling stratified by APOEe4 status revealed that in non-carriers, PRS most effectively classified AD (AUC = 0.73), whereas in carriers, proteomic and epigenetic markers outperformed PRS (AUC up to 0.74). Together, these findings demonstrate that APOEe4 confers AD risk through early synaptic and metabolic disruptions and later-stage inflammatory and epigenetic changes, laying the groundwork for genotype-tailored biomarker development and therapeutic strategies. VISUAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=156 HEIGHT=200 SRC="FIGDIR/small/682426v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1477a2forg.highwire.dtl.DTLVardef@1a6d173org.highwire.dtl.DTLVardef@1010821org.highwire.dtl.DTLVardef@bcde3a_HPS_FORMAT_FIGEXP M_FIG C_FIG

pathology↗

bioRxiv2025

Investigating the relationship Between AMBRA1 and Cell Proliferation in Melanoma

The protein Activating molecule in Beclin1-regulated autophagy1 (AMBRA1), discovered in 2007, is crucial for autophagy and plays roles in nervous system development, cell survival, and proliferation. This study investigates AMBRA1s involvement in various cellular processes using a systems-based "omics" approach, focusing on melanoma. Transcriptomic analysis of the overexpression or the knock-down of AMBRA1 was shown to result in significant dysregulation of several transcripts. This appears to have identified several novel roles for AMBRA1 in a range of cellular pathways; some of these are hallmarks of cancer signaling including, MAPK, angiogenesis, tissue growth factor signaling, axon guidance and Wnt signaling. Yeast two-hybrid assays performed in this study identified novel binding partners that can provide evidence for new roles for AMBRA1 in different cellular processes. The work shows that AMBRA1 loss appears to upregulate metastatic genes/proteins supporting the role of AMBRA1 as a tumor suppressor gene in melanoma.

cancer biology↗

bioRxiv2024

Subregional activity in the dentate gyrus is amplified during elevated cognitive demands

Neural activity in the dentate gyrus (DG) supports the detection and discrimination of novelty, context, and patterns. Granule cell activation differs between the supra- and infrapyramidal blades across hippocampal-dependent tasks, yet how excitatory dynamics shape this blade-specific bias under varying cognitive demands remains unclear. Here, we combined an automated touchscreen pattern separation task in mice with temporally controlled tagging of active neurons to determine how increasing cognitive demand influences spatial activity patterns in the DG. As task difficulty increased, activation became progressively biased toward the suprapyramidal blade and was accompanied by structured distributions of active mature granule cells (mGCs) along both the radial and transverse axes. Selective inhibition of mGCs did not alter these spatial patterns but profoundly impaired performance, as mice were no longer able to discriminate between closely spaced locations. In contrast, chemogenetic inhibition of adult-born granule cells (abDGCs) beyond a critical maturation window impaired performance under high-demand conditions, increased overall mGC activity, and disrupted blade-specific organization even in animals that successfully completed the task. These findings demonstrate that high cognitive demand recruits spatially organized mGC activity and support a modulatory role for abDGCs in shaping dentate circuit dynamics.

neuroscience↗

bioRxiv2024

CpGPT: a Foundation Model for DNA Methylation

DNA methylation is a type of epigenetic modification that plays a significant role in development, aging, and disease. Despite extensive research, how genome-wide DNA methylation patterns collectively encode and influence complex phenotypes such as aging and disease remains difficult to characterize with conventional approaches. Foundation models are a class of machine learning model that leverage vast quantities of data to make sense of complex data types, such as genome sequences or single-cell transcriptomes. Here, we present the Cytosine-phosphate-Guanine Pretrained Transformer (CpGPT), a novel foundation model pretrained on CpGCorpus, a novel database with more than 2,000 DNA methylation datasets encompassing over 150,000 samples from diverse conditions. CpGPT lever-ages an improved transformer architecture to learn comprehensive representations of methylation patterns, allowing it to impute and reconstruct genome-wide methylation profiles from limited input data. By capturing sequence, positional, and epigenetic contexts, CpGPT outperforms specialized models when finetuned for aging-related tasks, including the state-of-the-art GrimAge2 and PCGrimAge for mortality and morbidity estimation. The model is highly adaptable and can impute beta values across different methylation platforms, tissue types, mammalian species, and even single-cell data. As a foundation model, CpGPT can be leveraged as a new tool for biological discovery in the field of epigenetics. The open-source code and model can be found at http://github.com/lucascamillomd/CpGPT. HighlightsO_LICpGPT is a novel foundation model for DNA methylation analysis, pretrained on over 2,000 datasets encompassing 150,000+ samples. C_LIO_LIThe model demonstrates strong performance in zero-shot tasks including imputation, array conversion, and reference mapping. C_LIO_LICpGPT achieves state-of-the-art results in mortality prediction and chronological age estimation. C_LI

systems biology↗

bioRxiv2024

Inhibition of heme biosynthesis triggers cuproptosis in acute myeloid leukaemia.

The ubiquitous metabolite heme has diverse enzymatic and signalling functions in most mammalian cells. Cells can salvage heme from the extracellular environment or synthesise heme de novo from succinyl-CoA and glycine through a series of 8 enzymatic reactions catalysed by heme biosynthesis enzymes (HBEs) localised in the mitochondria and the cytosol1,2. Through integrated analyses of mouse models, human cell lines and primary patient samples, we identify de novo heme biosynthesis as a selective dependency in acute myeloid leukaemia (AML). The dependency is underpinned by a propensity of AML cells, and especially leukaemic stem cells (LSCs) to downregulate HBEs. The resultant low heme state upregulates self-renewal genes via the heme sensing transcription factor BACH1, but also places leukaemia cells on the threshold of heme starvation. Genetic or pharmacological inhibition of HBEs induces cuproptosis, a form of programmed cell death caused by copper accumulation and oligomerisation of lipoylated proteins3. Moreover, we identify pathways that are synthetic lethal with heme biosynthesis, including glycolysis, which can be leveraged for combination strategies. Altogether, our work uncovers a heme rheostat that controls gene expression and drug sensitivity in AML and implicates HBE inhibition as a novel cuproptosis trigger.

cancer biology↗

bioRxiv2022

A conserved Plasmodium protein that localizes to liver stage nuclei is critical for late liver stage development.

Malaria, the disease caused by Plasmodium parasites, causes significant mortality and morbidity. Whole parasite vaccination with pre-erythrocytic parasite stages, attenuated through sporozoite irradiation or chemo-attenuation, confers sterilizing immunity against subsequent parasite infection. This provides a rationale for the creation of whole parasite vaccines that are attenuated using gene editing. Here, we report on the creation of a novel genetically attenuated parasite (GAP) by the deletion of Plasmodium LINUP, encoding a liver stage nuclear protein. Epitope-tagging of LINUP in the rodent malaria parasite Plasmodium yoelii showed LINUP expression exclusively in liver stage nuclei after the onset of exo-erythrocytic schizogony. P. yoelii parasites with a gene deletion of LINUP (linup --) suffered an exclusive liver stage phenotype with developmental arrested late in exo-erythrocytic schizogony. Liver stages showed incomplete segregation of nuclei and, mitochondria and apicoplast. These cellular perturbations caused a defect in exo-erythrocytic merozoite formation and a concomitant severe attenuation of liver stage-to-blood stage transition. LINUP gene deletion in Plasmodium falciparum also caused a severe defect in late liver stage differentiation. Importantly, P. falciparum linup -- liver stages showed a severe defect in parasite transitioning from liver stage to viable blood stage infection. These results suggest that P. falciparum LINUPis a useful target for late liver stage attenuation and an additional gene deletion that can be incorporated into a late liver stage-arresting replication competent whole parasite vaccine.

cell biology↗

bioRxiv2022

STOmics-GenX: CRISPR based approach to improve cell identity specific gene detection from spatially resolved transcriptomics

The spatial organisation of cells defines the biological functions of tissue ecosystems from development to disease. Recently, an array of technologies have been developed to query gene expression in a spatial context. These include techniques such as employing barcoded oligonucleotides, single-molecule fluorescence in situ hybridization (smFISH), and DNA nanoball (DNB)-patterned arrays. However, resolution and efficiency vary across platforms and technologies. To obtain spatially relevant biological information from spatially resolved transcriptomics, we combined the Stereo-seq workflow with CRISPRclean technology to develop the STOmics-GenX pipeline. STOmics-GenX not only allowed us to reduce genomic, mitochondrial, and ribosomal reads, but also lead to a [~]2.1-fold increase in the number of detected genes when compared to conventional Stereo-seq (STOmics). Additionally, the STOmics-GenX pipeline resulted in an improved detection of cell type specific genes, thereby improving cellular annotations. Most importantly, STOmics-GenX allowed for enhanced detection of clinically relevant biomarkers such as Alpha-fetoprotein (AFP), enabling the identification of two spatially distinct subsets of hepatocytes in hepatocellular carcinoma tissue. Thereby, combining CRISPRclean technology with STOmics not only allowed improved gene detection but also paved the way for spatial precision oncology by improved detection of clinically relevant biomarkers.

molecular biology↗

bioRxiv2022

A CRISPR/Cas9-based enhancement of high-throughput single-cell transcriptomics

Single-cell transcriptomics suffers from lapses in coverage of the full transcriptome, providing an incomplete gene expression profile of the cell. Here, we introduce single-cell CRISPRclean (scCLEAN), an in vitro molecular method that can be universally inserted into any single-cell RNA-seq workflow to improve the sensitivity of the assay. Utilizing CRISPR/Cas9, scCLEAN works to selectively remove highly abundant uninformative molecules, redistributing ~50% of reads to enrich for lowly expressed transcripts. Utilizing immune cells, we describe a validation of scCLEAN showing a 2.1-fold enrichment in library complexity with negligible off-target effects. Subsequently, applying scCLEAN to single-cell iso-seq samples results in a 4.6-fold improvement in unique isoform detection. Thus, demonstrating a benefit in short and long read sequencing applications. Finally, we illustrate the ability of scCLEAN to elucidate biological insights by applying it to two participant cohorts of cardiovascular samples, bringing to light novel molecular characteristics including inflammatory signatures.

genetics↗

bioRxiv2022

Fan cells in lateral entorhinal cortex directly influence medial entorhinal cortex through synaptic connections in layer 1

Standard models for spatial and episodic memory suggest that the lateral entorhinal cortex (LEC) and medial entorhinal cortex (MEC) send parallel independent inputs to the hippocampus, each carrying different types of information. Here, we evaluate the possibility that information is integrated between divisions of the entorhinal cortex prior to reaching the hippocampus. We demonstrate that fan cells in layer 2 (L2) of LEC that receive neocortical inputs, and that project to the hippocampal dentate gyrus, also send axon collaterals to layer 1 (L1) of the MEC. Activation of fan cell inputs evokes monosynaptic glutamatergic excitation of stellate and pyramidal cells in L2 of the MEC, typically followed by inhibition that contains fast and slow components mediated by GABAA and GABAB receptors, respectively. Fan cell inputs also directly activate interneurons in L1 and L2 of MEC, with synaptic connections from L1 interneurons accounting for slow feedforward inhibition of L2 principal cell populations. The relative strength of excitation and inhibition following fan cell activation differs substantially between neurons and is largely independent of anatomical location. Our results demonstrate that the LEC, in addition to directly influencing the hippocampus, can activate or inhibit major hippocampal inputs arising from the MEC. Thus, local circuits in the superficial MEC may combine spatial information with sensory and higher order signals from the LEC, providing a substrate for integration of what and where components of episodic memories.

neuroscience↗

bioRxiv2019

Telomere-to-telomere assembly of a complete human X chromosome

After nearly two decades of improvements, the current human reference genome (GRCh38) is the most accurate and complete vertebrate genome ever produced. However, no one chromosome has been finished end to end, and hundreds of unresolved gaps persist 1,2. The remaining gaps include ribosomal rDNA arrays, large near-identical segmental duplications, and satellite DNA arrays. These regions harbor largely unexplored variation of unknown consequence, and their absence from the current reference genome can lead to experimental artifacts and hide true variants when re-sequencing additional human genomes. Here we present a de novo human genome assembly that surpasses the continuity of GRCh38 2, along with the first gapless, telomere-to-telomere assembly of a human chromosome. This was enabled by high-coverage, ultra-long-read nanopore sequencing of the complete hydatidiform mole CHM13 genome, combined with complementary technologies for quality improvement and validation. Focusing our efforts on the human X chromosome 3, we reconstructed the [~]2.8 megabase centromeric satellite DNA array and closed all 29 remaining gaps in the current reference, including new sequence from the human pseudoautosomal regions and cancer-testis ampliconic gene families (CT-X and GAGE). This complete chromosome X, combined with the ultra-long nanopore data, also allowed us to map methylation patterns across complex tandem repeats and satellite arrays for the first time. These results demonstrate that finishing the human genome is now within reach and will enable ongoing efforts to complete the remaining human chromosomes.

bioinformatics↗

bioRxiv2019

Progressive alignment with Cactus: a multiple-genome aligner for the thousand-genome era

Cactus, a reference-free multiple genome alignment program, has been shown to be highly accurate, but the existing implementation scales poorly with increasing numbers of genomes, and struggles in regions of highly duplicated sequence. We describe progressive extensions to Cactus that enable reference-free alignment of tens to thousands of large vertebrate genomes while maintaining high alignment quality. We show that Cactus is capable of scaling to hundreds of genomes and beyond by describing results from an alignment of over 600 amniote genomes, which is to our knowledge the largest multiple vertebrate genome alignment yet created. Further, we show improvements in orthology resolution leading to downstream improvements in annotation.

genomics↗

bioRxiv2019

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

Present workflows for producing human genome assemblies from long-read technologies have cost and production time bottlenecks that prohibit efficient scaling to large cohorts. We demonstrate an optimized PromethION nanopore sequencing method for eleven human genomes. The sequencing, performed on one machine in nine days, achieved an average 63x coverage, 42 Kb read N50, 90% median read identity and 6.5x coverage in 100 Kb+ reads using just three flow cells per sample. To assemble these data we introduce new computational tools: Shasta - a de novo long read assembler, and MarginPolish & HELEN - a suite of nanopore assembly polishing algorithms. On a single commercial compute node Shasta can produce a complete human genome assembly in under six hours, and MarginPolish & HELEN can polish the result in just over a day, achieving 99.9% identity (QV30) for haploid samples from nanopore reads alone. We evaluate assembly performance for diploid, haploid and trio-binned human samples in terms of accuracy, cost, and time and demonstrate improvements relative to current state-of-the-art methods in all areas. We further show that addition of proximity ligation (Hi-C) sequencing yields near chromosome-level scaffolds for all eleven genomes.

bioinformatics↗

bioRxiv2019

Predicting transfer RNA gene activity from genome variation data

Transfer RNA (tRNA) genes are among the most highly transcribed genes in the genome due to their central role in protein synthesis. However, there is evidence for a broad range of gene expression across tRNA loci. This complexity, combined with difficulty in measuring transcript abundance and high sequence identity across transcripts, has severely limited our collective understanding of tRNA gene expression regulation and evolution. We establish sequence-based correlates to tRNA gene expression and develop a tRNA gene classification method that does not require, but benefits from comparative genomic information, and achieves accuracy comparable to molecular assays. We observe that guanine+cytosine (G+C) content and CpG density surrounding tRNA loci is exceptionally well correlated with tRNA gene activity, supporting a prominent regulatory role of the local genomic context in combination with internal sequence features. We use our tRNA gene activity predictions in conjunction with a comprehensive tRNA gene ortholog set spanning 29 placental mammals to infer the frequency of changes to tRNA gene expression among orthologs. Our method adds an important new dimension to tRNA annotation and will help focus the study of natural tRNA variants. Its simplicity and robustness enables facile application to other clades and timescales, as well as exploration of functional diversification of tRNAs and other large gene families.

bioinformatics↗

bioRxiv2019

The genome of C57BL/6J \"Eve\", the mother of the laboratory mouse genome reference strain

Isogenic laboratory mouse strains are used to enhance reproducibility as individuals within a strain are essentially genetically identical. For the most widely used isogenic strain, C57BL/6, there is also a wealth of genetic, phenotypic, and genomic data, including one of the highest quality reference genomes (GRCm38.p6). However, laboratory mouse strains are living reagents and hence genetic drift occurs and is an unavoidable source of accumulating genetic variability that can have an impact on reproducibility over time. Nearly 20 years after the first release of the mouse reference genome, individuals from the strain it represents (C57BL/6J) are at least 26 inbreeding generations removed from the individuals used to generate the mouse reference genome. Moreover, C57BL/6J is now maintained through the periodic reintroduction of mice from cryopreserved embryo stocks that are derived from a single breeder pair, aptly named C57BL/6J Adam and Eve. To more accurately represent the genome of todays C57BL/6J mice, we have generated a de novo assembly of the C57BL/6J Eve genome (B6Eve) using high coverage, long-read sequencing, optical mapping, and short-read data. Using these data, we addressed recurring variants observed in previous mouse studies. We have also identified structural variations that impact coding sequences, closed gaps in the mouse reference assembly, some of which are in genes, and we have identified previously unannotated coding sequences through long read sequencing of cDNAs. This B6Eve assembly explains discrepant observations that have been associated with GRCm38-based analyses, and has provided data towards a reference genome that is more representative of the C57BL/6J mice that are in use today.

genomics↗