Biology subjects

Baker, D. J.

Publications and source records attributed to Baker, D. J..

15 recordsLinked to original sources

bioRxiv2026

SENgEAR: an interactive visualization platform for comparative analysis of senescence signatures and cellular communication

Single-cell and spatial transcriptomic datasets provide tremendous potential to identify the cellular states and communication networks associated with senescence. Annotating senescent cells in these datasets is hindered by the lack of universal markers for senescent cells and their context-dependent variability. To overcome this, several groups have developed gene signatures to annotate cells with distinct senotypes. However, comparing these signatures and their biological contexts to determine the specificity of senescence signatures remains complicated by the separate data platforms for signatures and datasets. We present SENgEAR, a no-code web platform for senescent cell annotation, visualization of cell-cell communication networks, and comparison of senescence signatures across studies, tissues, species, and data modalities. SENgEAR provides a unified framework to explore contextual signature specificity, cellular communication pathways, and senotype heterogeneity. We demonstrate the use of SENgEAR for applications spanning aging, fibrosis, and wound healing and its ability to interrelate these states.

bioinformatics↗

bioRxiv2026

Ketamine Modulates Endogenous Opioid Peptide Signaling and Reduces Heroin-Seeking in Male Long-Evans Rats

Opioid Use Disorder (OUD) continues to be a pressing public health crisis, marked by high relapse rates and limited treatment options. Ketamine, a non-competitive N-Methyl-D-Aspartate receptor (NMDAR) antagonist, has emerged as a promising therapeutic for numerous psychiatric illnesses due to its robust antidepressant properties and glutamate-mediated synaptic plasticity. However, ketamine's therapeutic mechanisms remain elusive, with emerging evidence implicating the endogenous opioid system. Furthermore, few studies have investigated ketamine's potential as an intervention for OUD. Accordingly, this study assessed ketamine's ability to rewire endogenous opioid and glutamatergic circuitry and reduce heroin-seeking activity in male Long-Evans rats. Using a multi-cohort design, we investigated ketamine's effects on opioid-related transcriptional, protein, and signaling properties in key brain regions associated with reward and addiction, and subsequently on heroin-seeking using a self-administration paradigm. To investigate mechanisms of plasticity, we also quantified transcriptional changes to NMDAR subunits. Molecular analyses demonstrated increased expression of endogenous opioid system-related genes and endogenous opioid peptides at the protein level, elevated mu-opioid receptor protein levels, and enhanced G protein activity, suggesting increased receptor function. Notably, transcriptional changes were particularly prominent in the shell subregion of the nucleus accumbens (NAc). We also revealed that ketamine altered NMDAR subunit expression in the medial prefrontal cortex and NAc, indicating circuit-level synaptic remodeling. Behavioral analyses revealed that ketamine significantly reduced heroin-primed, but not cue-induced, seeking activity. Together, these findings suggest ketamine reduces acute relapse vulnerability to opioids through coordinated modulation of opioid and glutamatergic systems, highlighting its potential as a novel intervention for OUD.

neuroscience↗

bioRxiv2026

Insertion sequence elements associated with Staphylococcus epidermidis evolution in persistent orthopaedic device-related infections

BackgroundStaphylococcus epidermidis is a major cause of orthopaedic device-related infections (ODRIs), which are often challenging to treat due to their extensive antimicrobial resistance (AMR) and biofilm formation. It has been hypothesised that S. epidermidis may rapidly adapt to the medical device niche, enhancing persistence, but direct evidence of within-host pathoadaptive evolution remains limited. ResultsTo investigate within-host evolution during chronic infection by S. epidermidis, we analysed isolates from patients with confirmed ODRIs and used a rat infection model to examine the evolution of strains from two distinct epidemic lineages (ST2 and ST23). Our analysis revealed that the replicative transposition of insertion sequence (IS) elements within the accessory genome was the predominant mechanism of genetic diversification. This was largely driven by the IS256 family, which accounted for approximately 25% of all mutational events. However, other than SCCmec deletions resulting in the loss of mecA, no mutations, including those which exhibited parallel evolution, were predicted or observed to influence AMR or biofilm formation. These findings suggest that the strains investigated in this study, which already exhibited high-level multidrug resistance and biofilm-forming ability, were likely pre-adapted epidemic S. epidermidis clones well suited to establishing persistent ODRIs. ConclusionsOur findings highlight the prominent role of IS elements in driving genetic diversification in S. epidermidis, underscoring the need for closer examination of their contribution to pathoadaptation during persistent infection.

genomics↗

bioRxiv2026

Microbiome stability in wild and rehabilitated insectivorous bats revealed by shotgun metagenomics

BackgroundWildlife rehabilitation can influence host-associated microbiota, yet little is known about how the gut microbiome of insectivorous bats responds to rehabilitation during temporary managed care. This study applied shotgun metagenomics to evaluate the impact of temporary managed care on the gut microbiome of wild and rehabilitated bats in Yorkshire, UK. ResultsWe analysed 25 faecal metagenomes from Myotis daubentonii, Pipistrellus pipistrellus, Nyctalus noctula and N. leisleri, including wild baseline bats and bats sampled during temporary managed care (1-49 days in rehabilitation). Microbial communities clustered strongly by host species and roost location, but not by rehabilitation status. Bacterial alpha diversity did not differ between wild bats, and bats in care (H = 2.30, p = 0.32). Archaeal communities were highly uniform across samples, showing far lower interindividual variation than bacterial communities (12.2% vs. 41.8% coefficient of variation). Rehabilitated bats showed increased relative abundance of Yersiniaceae and Lactobacillaceae, while environmental families such as Pseudomonadaceae and Erwiniaceae decreased, indicating modest but non-disruptive changes consistent with a controlled diet and reduced environmental exposure. ConclusionsAcross temporary managed care, the core gut microbiome of insectivorous bats remained stable, demonstrating notable microbial resilience. These findings provide an important baseline for monitoring microbiome health in wildlife rehabilitation and supporting post-release conservation programmes in the UK and beyond.

microbiology↗

bioRxiv2026

A New Cost Effective, Simplified Workflow for Transposon Insertion Sequencing (TIS)

Transposon insertion sequencing (TIS) encompasses methods such as Transposon Directed Insertion sequencing (TraDIS) and Transposon-Sequencing (Tn-Seq); these methods are widely uses for genome scale screens of essential and conditionally essential genes. Early limitations centred on mutant generation, today the biggest factor is sequencing and data generation and the costs associated. Here, we present and evaluate four methods TIS sequencing library generation protocols compatible with Illumina whole genome sequencing (WGS) workflows to maximise sequence efficiency and minimise turnaround times and costs. Using E.coli BW25113 transposon mutagenesis libraries generated with Tn5 and mariner (Himar1) transposons, we compare the methods in terms of reagent cost, workflow complexity, and target enrichments for the recovery of unique insertion sites and essential genes identified. All methods generated TIS data suitable for gene essentiality analysis. Illumina Flex based protocols were 4-6 tomes cheaper than the traditional Illumina Nextera based approach with similar or superior Transposon-Chromosome (Tn-Chr) junction enrichment. Across all methods, sequencing depth and mutant library density were the dominant factor in useful biological insight. Subsampling demonstrated that for a good quality mutant library, five million reads were sufficient to identify essential genes in E.coli. Whereas deeper sequencing reduced the statistical power and included contaminating background noise, seen primarily with Tn5. We conclude that an Illumina Flex based approach, especially when integrating with routine WGS, provides an excellent balance of speed, cost and data quality. Assuming five million reads and a robust Illumina Flex approach, a TIS library can be sequenced for around {pound}40.

genomics↗

bioRxiv2025

Reductive death is averted by an ancient metabolic switch.

Biguanides, including metformin, the worlds most prescribed oral hypoglycemic, extend health-span and lifespan in vertebrates and invertebrates. Given the widespread use and apparent safety of metformin, it is assumed that its effects are not associated with toxicity, except when in marked excess. Here we determine that accumulation of damaging reducing equivalents is an unanticipated toxicity associated with biguanides, the defense against which requires post-transcriptional protection of de novo fatty acid biosynthesis. We demonstrate that biguanide treatment during impaired fatty acid biosynthesis drives NADPH toxicity, leading to catastrophic elevation of NADH/GSH reducing equivalents and accelerated death across metazoans. Multiple NADPH-generating interventions require fatty acid biosynthesis to prevent markedly shortened survival, indicating that this defense mechanism is broadly leveraged. We propose that fatty acid biosynthesis is a tunable rheostat which can minimize biguanide-induced reductive stress whilst maximizing its pro-longevity outcomes and serve as an exploitable vulnerability in reductive stress sensitive cancers. HIGHLIGHTSO_LIBiguanides inhibit cytosolic mRNA translation to extend lifespan in C. elegans. C_LIO_LIFatty acid synthesis is translationally protected by eIF3 complex subunits. C_LIO_LIpod-2/fasn-1 inactivation amplifies biguanide-induced reductive stress and death. C_LIO_LINADPH-generating insults require fatty acid synthesis to buffer reductive stress. C_LI

molecular biology↗

bioRxiv2025

A molecular stabiliser of an inhibitory eIF2B-eIF2(αP) complex activates the Integrated Stress Response

Eukaryotic initiation factor 2B (eIF2B), a guanine nucleotide exchange factor (GEF), promotes protein synthesis by charging translation initiation factor 2 (eIF2) with GTP. Stress-induced phosphorylation of eIF2 on its -subunit [eIF2(P)] inhibits this reaction triggering a protective Integrated Stress Response (ISR). A DNA-encoded chemical library (DEL) screen for modulators of eIF2B, led to the identification of a chemical series that inactivates eIF2B, stimulating the ISR. Cryo-EM of compound-bound eIF2B revealed a conformational switch to the inactive state engaged by eIF2(P). In cells, compound activity was sensitive to eIF2s phosphorylation state and to a competing eIF2B ligand (ISRIB) that activates the GEF allosterically. These findings mark the discovery of a first-in-class drug-like allosteric inhibitor of eIF2B, an ISR activator (ISRAC), paving the way to explore the therapeutic potential of eIF2B-directed ISR activation.

molecular biology↗

bioRxiv2025

An unbiased cell-culture selection yields DNA aptamers as novel senescent cell-specific reagents

Cellular senescence is an irreversible form of cell-cycle arrest caused by excessive stress or damage. While various biomarkers of cellular senescence have been proposed, there are currently no universal, stand-alone indicators of this condition. The field largely relies on the combined detection of multiple biomarkers to differentiate senescent cells from non-senescent cells. Here we introduce a new approach: unbiased cell culture selections to identify senescent cell-specific folded DNA aptamers from vast libraries of trillions of random 80-mer DNAs. Senescent mouse adult fibroblasts and their non-senescent counterparts were employed for selection. We demonstrate aptamer specificity for senescent mouse cells in culture, identify a form of fibronectin as the molecular target of two selected aptamers, show increased aptamer staining in naturally aged mouse tissues, and demonstrate decreased aptamer staining when p16 expressing cells are removed in a transgenic INK-ATTAC mouse model. This work demonstrates the value of unbiased cell-based selections to identify new senescence-specific DNA reagents.

biochemistry↗

bioRxiv2024

Genomic diversity and antimicrobial resistance in clinical Klebsiella pneumoniae isolates from tertiary hospitals in Southern Ghana

Comprehensive data on the genomic epidemiology of hospital-associated Klebsiella pneumoniae in Ghana is scarce. This study sequenced 103 clinical K. pneumoniae isolates from five tertiary hospitals in Southern Ghana, predominantly from paediatric patients under five years (67/103, 65%), with the majority collected from urine (32/103, 31%) and blood (25/103, 24%) cultures. We employed Pathogenwatch for genotyping via Kaptive (K/O antigens) and Kleborate (antimicrobial resistance and hypervirulence) and determined clonal relationships using core-genome multilocus sequence typing (cgMLST). Among the 44 distinct sequence types (STs) detected, ST133 was the most common, comprising 23% of isolates (n=23/103). We discovered 27 different capsular (K) locus antigens and seven lipopolysaccharide (O) types; KL116 (28/103, 27%) and O1 (66/103, 64%) were the most prevalent. Single-linkage clustering highlighted the global spread of multidrug-resistant clones such as ST15, ST307, ST17, ST11, ST101, and ST48, with minimal allele differences (1-5) from publicly available genomes worldwide. Conversely, several isolates (n=17) constituted novel clonal groups and lacked close relatives among publicly available genomes, displaying unique genetic diversity within our study population. A significant proportion of isolates (88/103, 85%) carried resistance genes for three or more antibiotic classes, with the blaCTXM-15 gene present in 78% (n=80/103). Carbapenem resistance, predominantly due to blaOXA-181 and blaNDM-1 genes, was found in 10% (n=10/103) of the isolates. Yersiniabactin was the predominant acquired virulence trait, identified in 70% (n=72/103) of the isolates. Our findings reveal a complex genomic landscape of K. pneumoniae in Southern Ghana, underscoring the critical need for ongoing genomic surveillance to manage the substantial burden of antimicrobial resistance.

genomics↗

bioRxiv2023

Nanopore and Illumina Sequencing Reveal Different Viral Populations from Human Gut Samples

The advent of viral metagenomics, or viromics, has improved our knowledge and understanding of global viral diversity. High-throughput sequencing technologies enable explorations of the ecological roles, contributions to host metabolism, and the influence of viruses in various environments including the human gut microbiome. However, the bacterial metagenomic studies frequently have the advantage. The adoption of advanced technologies like long-read sequencing has the potential to be transformative in refining viromics and metagenomics. Here, we examined the effectiveness of long-read and hybrid sequencing by comparing Illumina short-read and Oxford Nanopore Technology (ONT) long-read sequencing technologies and different assembly strategies on recovering viral genomes from human faecal samples. Our findings showed that if a single sequencing technology is to be chosen for virome analysis, Illumina was preferable due to its superior ability to recover fully resolved viral genomes and minimise erroneous genomes. While ONT assemblies were effective in recovering viral diversity, the challenges related to input requirements and the necessity for amplification made it less ideal as a standalone solution. However, using a combined, hybrid approach enabled a more authentic representation of viral diversity to be obtained within samples. Impact StatementViral metagenomics, or viromics, has revolutionised our understanding of global viral diversity however long-read and hybrid approaches are not yet widespread in this field. Here, we compared the performance of Illumina short-read and Nanopore long-read assembly approaches for recovering fully resolved viral genomes from human faecal samples. We highlight Illuminas short-read sequencing for recovering fully resolved viral genomes, while acknowledging Oxford Nanopore Technologys long-read sequencing for capturing broader viral diversity. However, a hybrid approach, utilising both technologies, may mitigate the limitations of one technology alone. Data SummaryAll reads used in this study are available on European Nucleotide Archive (ENA) within the project PRJEB47625.

bioinformatics↗

bioRxiv2023

A hybrid and poly-polish workflow for the complete and accurate assembly of phage genomes: a case study of ten przondoviruses

Bacteriophages (phages) within the Przondovirus genus are T7-like podoviruses belonging to the Studiervirinae subfamily, within the Autographiviridae family and have a highly conserved genome organisation. The genome size of these phages ranges from 37 kb to 42 kb, encode 50-60 genes and are characterised by the presence of direct terminal repeats (DTRs) flanking the linear chromosome. These DTRs are often deleted during short-read-only and hybrid assemblies. Moreover, long-read-only assemblies are often littered with sequencing and/or assembly errors and require additional curation. Here, we present the isolation and characterisation of ten novel przondoviruses targeting Klebsiella spp. We describe HYPPA - a HYbrid and Poly-polish Phage Assembly workflow, which utilises long-read assemblies in combination with short-read sequencing to resolve phage DTRs and correcting errors, negating the need for laborious primer walking and Sanger sequencing validation. Our data demonstrate the importance of careful curation of phage assemblies before publication, and prior to using them for comparative genomics. IMPACT STATEMENTThe current workflows employed for phage genome assembly are often error-prone and can lead to many incomplete phage genomes being deposited within databases. This can create challenges when performing comparative genomics, and may also lead to incorrect taxonomic assignment. To overcome these challenges we proposed HYPPA, a workflow that can produce complete and high-quality phage genomes without the need for laborious lab-based validation. DATA SUMMARYPhage raw reads are available from the National Centre for Biotechnology Information Sequence Read Archive (NCBI-SRA) under the BioProject number PRJNA914245. Phage annotated genomes have been deposited at GenBank under the accessions OQ579023-OQ579032 (Table 1). Bacterial WGS data for clinical preterm infant samples have been deposited at GenBank under BioProject accession PRJNA471164 (Table S1). Bacterial raw reads for food samples are available from NCBI-SRA with individual accessions (SAMN33593347-SAMN33593351), and can be found under the BioProject number PRJNA941224 (Table S1). Strain-specific details for bacteria and publicly-available phages used in these analyses, along with accessions for the latter can be found in Table S1 and Table S6, respectively. The CL1-CL8 clinical Klebsiella strains (Table S1) were under a Materials Transfer Agreement, for which sequencing data and strain information is not available. O_TBL View this table: org.highwire.dtl.DTLVardef@8cae53org.highwire.dtl.DTLVardef@8e512org.highwire.dtl.DTLVardef@1f71a67org.highwire.dtl.DTLVardef@1e6947dorg.highwire.dtl.DTLVardef@11ebc58_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 1.C_FLOATNO O_TABLECAPTIONPrzondoviruses within the collection to date and data relating to the closest database relative. C_TABLECAPTION C_TBL

microbiology↗

bioRxiv2022

HD-PTP/PTPN23 hypomorphic mice display lipodystrophy

Endosomal Sorting Complexes Required for Transport (ESCRTs) drive reverse topology membrane remodeling events including the formation of intralumenal vesicles within multivesicular bodies, the budding of retroviruses from the plasma membrane, and the scission of the cytokinetic bridge. It has been difficult to study the physiological relevance of this machinery in mammals because many contributing components are essential for viability. To bypass this problem we used combinations of knockout (-), hypomorphic (H) and wildtype (+) alleles to generate a series of mice with a gradual reduction of HD-PTP (product of PTPN23), an ESCRT-associated protein known to cause embryonic lethality when fully depleted. Whereas PTPN23-/H mice died shortly after birth, PTPN23H/H mice developed into adulthood but had reduced size, lipodystrophy, and shortened lifespan. Analysis of 14-day inguinal adipose tissue indicated reduced expression of adipogenesis markers, and PTPN23 knockout preadipocytes similarly display reduced adipogenesis in vitro. Defects in insulin-stimulated signaling were apparent in differentiated PTPN23 knockout adipocytes and PTPN23H/H inguinal adipose tissue in vitro, correlating with reduced levels of insulin signaling hallmarks observed in adult PTPN23H/H inguinal adipose tissue in vivo. Whereas the ESCRT machinery have been suggested to downregulate signaling, these results indicate that HD-PTP promotes insulin-induced signaling in, as well as differentiation of, inguinal adipose tissue. These results revealed unexpected roles for HD-PTP in promoting fat accumulation in mammalian cells through supporting insulin signaling, adipogenesis, and lipid droplet formation.

cell biology↗

bioRxiv2022

Transfer learning of an in vivo-derived senescence signature identifies conserved and tissue-specific senescence across species and diverse pathologies

Senescent cells (SnCs) contribute to normal tissue development and repair but accumulate with aging where they are implicated in a number of pathologies and diseases. Despite their pathological role and therapeutic interest, SnC phenotype and function in vivo remains unclear due to the challenges in identifying and isolating these rare cells. Here, we developed an in vivo-derived senescence gene expression signature using a model of the foreign body response (FBR) fibrosis in a p16Ink4a-reporter mouse, a cell cycle inhibitor commonly used to identify SnCs. We identified stromal cells (CD45-CD31- CD29+) as the primary p16Ink4a expressing cell type in the FBR and collected the cells to produce a SnC transcriptomic signature with bulk RNA sequencing. To computationally identify SnCs in bulk and single-cell data sets across species and tissues, we used this signature with transfer learning to generate a SnC signature score (SenSig). We found senescent pericyte and cartilage-like fibroblasts in newly collected single cell RNAseq (scRNASeq) data sets of murine and human FBR suggesting populations associated with angiogenesis and secretion of fibrotic extracellular matrix, respectively. Application of the senescence signature to human scRNAseq data sets from idiopathic pulmonary fibrosis (IPF) and the basal cell carcinoma microenvironment identified both conserved and tissue-specific SnC phenotypes, including epithelial-derived basaloid and endothelial cells. In a wound healing model, ligand-receptor signaling prediction identified putative interactions between SnC SASP and myeloid cells that were validated by immunofluorescent staining and in vitro coculture of SnCs and macrophages. Collectively, we have found that our SenSig transfer learning strategy from an in vivo signature outperforms in vitro-derived signatures and identifies conserved and tissue-specific SnCs and their SASP, independent of p16Ink4a expression, and may be broadly applied to elucidate SnC identity and function in vivo.

bioengineering↗

bioRxiv2021

Microclimates can be accurately predicted across ecologically important remote ecosystems

Microclimate information is often crucial for understanding ecological patterns and processes, including under climate change, but is typically absent from ecological and biogeographic studies owing to difficulties in obtaining microclimate data. Recent advances in microclimate modelling, however, suggest that microclimate conditions can now be predicted anywhere at any time using hybrid physically- and empirically-based models. Here, for the first time, we test the utility of this approach across a remote, inaccessible, and climate change threatened polar island ecosystem at ecologically relevant scales. Microclimate predictions were generated at a 100 x 100 m grain (at a height of 4 cm) across the island, with models parameterised using either meteorological observations from the islands weather station (AWS) or climate reanalysis data (CRA). AWS models had low error rates and were highly correlated with observed seasonal and daily temperatures (root mean squared error of predicted seasonal average Tmean [≤] 0.6 {degrees}C; Pearsons correlation coefficient (r) for the daily Tmean [≥] 0.86). By comparison, CRA models had a slight warm bias in all seasons and a smaller diurnal range in the late summer period than in situ observations. Despite these differences, the modelled relationship between the percentage cover of the threatened endemic cushion plant Azorella macquariensis and microclimate varied little with the source of microclimate data (r = 0.97), suggesting that both model parameterisations capture similar patterns of spatial variation in microclimate conditions across the island ecosystem. Here, we have shown that the accurate prediction of microclimate conditions at ecologically relevant spatial and temporal scales is now possible using hybrid physically- and empirically-based models across even the most remote and climatically extreme environments. These advances will help add the microclimate dimension to ecological and biogeographic studies, which could be critical for delivering climate change-resilient conservation planning in climate-change exposed ecosystems.

ecology↗

bioRxiv2020

CoronaHiT: large scale multiplexing of SARS-CoV-2 genomes using Nanopore sequencing

The COVID-19 pandemic has spread to almost every country in the world since it started in China in late 2019. Controlling the pandemic requires a multifaceted approach including whole genome sequencing to support public health interventions at local and national levels. One of the most widely used methods for sequencing is the ARTIC protocol, a tiling PCR approach followed by Oxford Nanopore sequencing (ONT) of up to 96 samples at a time. There is a need, however, for a flexible, platform agnostic, method that can provide multiple throughput options depending on changing requirements as the pandemic peaks and troughs. Here we present CoronaHiT, a method capable of multiplexing up to 96 small genomes on a single MinION flowcell or >384 genomes on Illumina NextSeq, using transposase mediated addition of adapters and PCR based addition of barcodes to ARTIC PCR products. We demonstrate the method by sequencing 95 and 59 SARS-CoV-2 genomes for routine and rapid outbreak response runs, respectively, on Nanopore and Illumina platforms and compare to the standard ARTIC LoCost nanopore method. Of the 154 samples sequenced using the three approaches, genomes with [≥] 90% coverage (GISAID criteria) were generated for 64.3% of samples for ARTIC LoCost, 71.4% for CoronaHiT-ONT, and 76.6% for CoronaHiT-Illumina and have almost identical clustering on a maximum likelihood tree. In conclusion, we demonstrate that CoronaHiT can multiplex up to 96 SARS-CoV-2 genomes per MinION flowcell and that Illumina sequencing can be performed on the same libraries, which will allow significantly higher throughput. CoronaHiT provides increased coverage for higher Ct samples, thereby increasing the number of high quality genomes that pass the GISAID QC threshold. This protocol will aid the rapid expansion of SARS-CoV-2 genome sequencing globally, to help control the pandemic.

genomics↗