Biology subjects

Franklin, A.

Publications and source records attributed to Franklin, A..

18 recordsLinked to original sources

bioRxiv2026

Cell-type-resolved DNA methylation profiling in the cortex reveals female-specific X chromosome differences in autism

Sex differences are a prominent feature of many neurodevelopmental conditions, particularly autism for which approximately three males are diagnosed for every female. Although epigenetic dysregulation has been implicated in autism, the extent to which autism-associated epigenetic differences vary by sex and neural cell type remains poorly understood. Using fluorescence-activated nuclei sorting (FANS), we isolated neuron-enriched (NeuN+), oligodendrocyte-enriched (SOX10+), microglia-enriched (IRF8+) and astrocyte-enriched (NeuN-/SOX10-/IRF8-) nuclei from post-mortem prefrontal cortex tissue from 24 autistic (70.8% male) and 23 non-autistic (69.6% male) donors, and performed cell-type-resolved epigenome-wide association studies (EWASs) of DNA methylation. We identified cell-type-specific autism-associated differentially methylated positions (DMPs), with microglia harbouring the largest number of associations. Modelling the interaction between sex and diagnosis revealed a striking female-specific signature concentrated on the X chromosome in microglia. At the majority of these sex-by-autism DMPs, autistic females showed lower DNA methylation compared to control females consistent with an altered X chromosome inactivation (XCI) profile. Across the X chromosome, autism-associated DNA methylation differences were significantly larger in females than males and were greater at sites annotated to genes normally subject to XCI than at genes that escape XCI. Together, these data further support the importance of microglia in autism and suggest that altered X chromosome dosage regulation may contribute to sex-dependent molecular mechanisms in autism.

genomics↗

bioRxiv2026

Discoidins are cytosolic lectins that shape intracellular host defence by sensing virulence-associated mycobacterial glycolipids and glycopeptidolipids

Mycobacteria are surrounded by a dynamic, glycolipid-rich envelope that controls both virulence and immune recognition, yet how cytosolic lectins detect and interpret the organization of surface glycans during intracellular infection remains unclear. Here, we show that Dictyostelium discoideum discoidins act as cytosolic sensors of mycobacterial envelope organization. During Mycobacterium marinum infection, Discoidin A and Discoidin E assemble into foci on intracellular bacilli and bind surface-associated glycan patches. Using transposon mutagenesis, synthetic mycobacterial glycan arrays, biochemical fractionation and targeted envelope mutants, we find that discoidins recognize a restricted set of lipid-linked glycans enriched in methylated L-rhamnose motifs, including structures associated with LOS, PGL and GPL. Binding depends on the H-type lectin {beta}-galactoside-binding pocket and is inhibited by point mutations and TDG, a soluble disaccharide competitor, demonstrating glycan-dependent recognition. Specific assays led to exclusion of major structural carbohydrates, including AG-PG, AM/LAM, -glucan and TDM, while protease treatment of capsular material and fractionation of polar lipids, identified both GPL and LOS-like glycolipids as dominant discoidin ligands. Disruption of LOS biosynthesis or PDIM/PGL-dependent envelope organization reduced discoidin binding to intact bacteria even though some ligands remained detectable by dot blot in various envelope extracts. Thus, discoidins do not simply detect ligand abundance, but binding depends on envelope perturbations and unmasking of glycolipids and glycopeptidolipids. These findings reveal pathogen envelope glycans as direct targets of cytosolic lectin surveillance and establish discoidins as probes of mycobacterial envelope remodelling during intracellular infection. Author SummaryMany disease-causing bacteria are surrounded by a protective outer layer that helps them survive inside host cells and avoid being eliminated. This surface is not static, it can be remodelled during infection, changing which molecules are exposed to the host. How host cells detect these changes is still not fully understood. We studied this question using Dictyostelium discoideum, a single-celled amoeba that shares many cellular defence mechanisms with human immune phagocytes. We focused on discoidins, a family of proteins that bind sugars. We found that discoidins accumulate on intracellular Mycobacterium marinum, a close relative of Mycobacterium tuberculosis, the bacterium that causes tuberculosis, and recognize specific sugar-containing molecules exposed at the bacterial surface. Importantly, discoidins do not simply detect whether these molecules are present. Instead, they respond to how they are displayed and exposed on the bacterial surface. Changes in the organization of the bacterial outer layer strongly affected discoidin binding, masking or revealing specific target molecules. Our findings show that discoidins act as sensors of bacterial surface remodelling during infection. More broadly, they reveal an ancient mechanism by which host cells can monitor pathogens by detecting changes in the sugars exposed on their surface.

microbiology↗

bioRxiv2026

A Type VII-secreted toxin enables inter-mycobacterial competition

Summary ParagraphMost bacteria live in complex environments where resources are scarce and competition is fierce. These organisms have evolved mechanisms to compete with other bacteria, often through the specialised secretion of proteinaceous toxins. Mycobacteria have not previously been reported to engage in this form of competition. The thick and unusual cell wall of mycobacteria, comprised of peptidoglycan, arabinogalactan and mycolic acids, is generally thought to be highly protective to these bacteria. Many enzymes have evolved to maintain this structure, including the GH183 family, which cleaves arabinogalactan. Here, we establish for the first time that some mycobacteria have weaponised a subset of these endo-D-arabinanases to enable inter-bacterial competition. We show that mycobacteria secrete an endo-D-arabinanase effector via the type VII secretion system that specifically targets the arabinogalactan layer of the Mycobacteriales cell envelope. Using structural biology and biochemistry, we identify the molecular basis for this activity and reveal a new protein family that protects the bacterium from the activity of this toxin. Finally, our data uncover widespread T7-secreted toxins in the Mycobacteriales, pointing to extensive inter-mycobacterial competition.

microbiology↗

bioRxiv2025

Optimised fluorescence-activated nuclei sorting for epigenomic analysis of cortical cell types

Increased understanding of the functional complexity of the genome has led to growing recognition of the role of non-sequence-based regulatory variation in disorders of the human central nervous system. Most genomic analyses of the brain are limited by the use of bulk tissue, which comprises a heterogeneous mix of different neural cell types with distinct epigenetic profiles, thereby limiting the ability to attribute regulatory changes to specific cell populations. Given the limited availability of human post-mortem tissue resources and the importance of integrating multi-omic data from the same samples, there is a critical need for methods that enable parallel, cell-type-resolved genomic profiling. We present optimised protocols using fluorescence-activated nuclei sorting (FANS) to isolate nuclei from different human and mouse brain cell types for downstream multi-omic analysis. Our approach enables the robust purification of neuronal, oligodendrocyte, microglial and other glial-origin nuclei from both adult and fetal brain tissue. We demonstrate that FANS-isolated nuclei are compatible with a wide range of genomic assays, including profiling of DNA modifications, histone modifications, chromatin accessibility, and gene expression. This protocol maximises the utility of limited post-mortem tissue resources and provides a unified workflow for comprehensive, cell-type-specific interrogation of molecular mechanisms involved in the brain.

genomics↗

bioRxiv2025

A new role for lipoproteins LpqZ and FecB in orchestrating mycobacterial cell envelope biogenesis

Accounting for more deaths than any other bacterial species, Mycobacterium tuberculosis (Mtb) represents a critical threat to public health worldwide. A key factor contributing to Mtbs virulence is its unique cell envelope, which acts as a protective barrier. Among the components of this envelope, lipoproteins represent a critical but understudied group of proteins. In this study, we focused on 79 conserved putative lipoproteins, shared between Mtb and the closely related M. marinum. Leveraging the CRISPR1-Cas9 (Sth1Cas9) gene editing system for Mycobacteria, we generated frameshift mutations, targeting one conserved lipoprotein-coding gene at a time. We identified two mutants, lpqZ and fecB, that exhibited increased susceptibility to all tested antibiotics, suggesting essential roles in cell envelope biogenesis. Interestingly, despite having homology to periplasmic substrate binding proteins (SBPs), neither protein is associated with any inner membrane transporter complex. Instead, co-immunoprecipitation experiments revealed that LpqZ interacts with AftA and FecB interacts with AftB. Both these interaction partners are essential enzymes involved in arabinogalactan and lipoarabinomannan synthesis. Accordingly, we observed alterations for both glycoconjugates in lpqZ and fecB mutants. Together, these findings show that orphaned SBP-like proteins have been neofunctionalized in mycobacteria to aid key enzymes involved in cell envelope biosynthesis.

microbiology↗

bioRxiv2025

Re-annotating the EPICv2 manifest with genes, intragenic features, and regulatory elements

MotivationThe Illumina Infinium MethylationEPIC v2.0 BeadChip (EPICv2 array) is a microarray for quantification of DNA methylation at sites across the human genome, succeeding previous iterations of the platform, including the HumanMethylationEPIC BeadChip (EPICv1 array). An open source manifest file provided by the manufacturer maps array probes to genes and regulatory features. However, due to a change in strategy, it is no longer consistent with annotations for previous versions of the technology. We therefore generated an extended EPICv2 manifest, to improve backwards-compatibility with EPICv1 and provide a more comprehensive framework for interpreting DNA methylation data. ResultsUsing public databases and the genomic coordinates of probes, we mapped the 923,452 sites assayed on the Illumina EPICv2 array, comprehensively annotating genes and regulatory elements. We also replicated the manufacturers approach of annotating sites in the regions <=200bp and 201-1500bp upstream of a transcription start site (the TSS200 and TSS1500), ensuring backwards-compatibility with existing pipelines for Illumina methylation array data. We found that 731,759 EPICv2 array sites (79.24% of all sites on the array) are located within a gene body (exon, intron, or UTR) according to the GENCODE Human release 49 (GENCODEv49) database. We additionally labelled sites located in a promoter or enhancer according to the GeneHancer database. Finally, the re-annotated manifest labels which sites are required for the Horvath DNA Methylation Age Calculator and MethylDetectR epigenetic clocks, to facilitate data preparation for these tools. Availability and ImplementationThe re-annotated manifest is freely available at https://doi.org/10.5281/zenodo.14933468. The re-annotation code is on GitHub: https://github.com/bethan-mallabar-rimmer/EPICv2_manifest.

bioinformatics↗

bioRxiv2025

Cell-type-specific DNA methylation dynamics in the prenatal and postnatal human cortex

The human cortex undergoes extensive epigenetic remodelling during development, although the precise temporal and cell-type-specific dynamics of DNA methylation remain incompletely understood. In this study, we profiled genome-wide DNA methylation across human cortex tissue from donors aged 6 post-conception weeks (pcw) to 108 years of age. We observed widespread, developmentally regulated, changes in DNA methylation, with pronounced shifts occurring during early- and mid-gestation that were distinct from age-associated modifications in the postnatal cortex. Using fluorescence-activated nuclei sorting (FANS), we optimized a protocol for the isolation of SATB2-positive neuronal nuclei, enabling the identification of cell-type-specific DNA methylation trajectories in developing neuronal and non-neuronal populations. Developmentally dynamic DNA methylation sites were significantly enriched near genes implicated in autism and schizophrenia, supporting a role for epigenetic dysregulation in neurodevelopmental disorders. Our findings underscore the prenatal period as a critical window of epigenomic plasticity in the central nervous system with important implications for understanding the genetic basis of neurodevelopmental phenotypes.

genomics↗

bioRxiv2024

Guidance for the design and analysis of cell-type specific epigenetic epidemiology studies.

Recent studies on the role of epigenetics in disease have focused on DNA methylation profiled in bulk tissues limiting the detection of the cell-type affected by disease related changes. Advances in isolating homogeneous populations of cells now make it possible to identify DNA methylation differences associated with disease in specific cell-types. Critically, these datasets will require a bespoke analytical framework that can characterise whether the difference affects multiple or is specific to a particular cell-type. We take advantage of a large set of DNA methylation profiles (n = 751) obtained from five different purified cell populations isolated from human prefrontal cortex samples and evaluate the effects on study design, data preprocessing and statistical analysis for cell-specific studies, particularly for scenarios where multiple cell types are included. We describe novel quality control metrics that confirm successful isolation of purified cell populations, which when included in standard preprocessing pipelines provide confidence in the dataset. Our power calculations show substantial gains in detecting differentially methylated positions for some purified cell populations compared to bulk tissue analyses, countering concerns regarding the feasibility of generating large enough sample sizes for informative epidemiological studies. In a simulation study, we evaluated different regression models finding that this choice impacts on the robustness of the results. These findings informed our proposed two-stage framework for association analyses. Overall, our results provide guidance for cell-specific EWAS, establishing standards for study design and analysis, while showcasing the potential of cell-specific DNA methylation analyses to reveal links between epigenetic dysregulation and disease.

bioinformatics↗

bioRxiv2024

An atlas of expressed transcripts in the prenatal and postnatal human cortex

Alternative splicing is a post-transcriptional mechanism that increases the diversity of expressed transcripts and plays an important role in regulating gene expression in the developing central nervous system. We used long-read transcriptome sequencing to characterise the structure and abundance of full-length transcripts in the human cortex from donors aged 6 weeks post-conception to 83 years old. We identified thousands of novel transcripts, with dramatic differences in the diversity of expressed transcripts between prenatal and postnatal cortex. A large proportion of these previously uncharacterised transcripts have high coding potential, with corresponding peptides detected in proteomic data. Novel putative coding sequences are highly conserved and overlap de novo mutations in genes linked with neurodevelopmental disorders in individuals with relevant clinical phenotypes. Our findings underscore the potential of novel coding sequences to harbor clinically relevant variants, offering new insights into the genetic architecture of human disease. Our cortical transcript annotations are available as a resource to the research community via an online database.

genomics↗

bioRxiv2023

The mycobacterial glycoside hydrolase LamH enables capsular arabinomannan release and stimulates growth

Mycobacterial glycolipids are important cell envelope structures that drive host-pathogen interactions. Arguably, the most important amongst these are lipoarabinomannan (LAM) and its precursor, lipomannan (LM), which are both trafficked out of the bacterium to the host via unknown mechanisms. An important class of exported LM/LAM is the capsular derivative of these molecules which is devoid of its lipid anchor. Here, we describe the identification of a glycoside hydrolase family 76 enzyme that we term LamH which specifically cleaves -1,6-mannoside linkages within LM and LAM, driving its export to the capsule releasing its phosphatidyl-myo-inositol mannoside lipid anchor. Unexpectedly, we found that the catalytic activity of this enzyme is important for efficient exit from stationary phase cultures where arabinomannan acts as a signal for growth phase transition. Finally, we demonstrate that LamH is important for Mycobacterium tuberculosis survival in macrophages. These data provide a new framework for understanding the biological role of LAM in mycobacteria.

microbiology↗

bioRxiv2023

Developmentally dynamic changes in DNA methylation in the human pancreas

Development of the human pancreas requires the precise temporal control of gene expression via epigenetic mechanisms and the binding of key transcription factors. We quantified genome-wide patterns of DNA methylation in human fetal pancreatic samples from donors aged 6 to 21 post-conception weeks. We found dramatic changes in DNA methylation across pancreas development, with >21% of sites characterized as developmental differentially methylated positions (dDMPs) including many annotated to genes associated with monogenic diabetes. An analysis of DNA methylation in postnatal pancreas tissue showed that the dramatic temporal changes in DNA methylation occurring in the developing pancreas are largely limited to the prenatal period. Significant differences in DNA methylation were observed between males and females at a number of autosomal sites, with a small proportion of sites showing sex-specific DNA methylation trajectories across pancreas development. Pancreas dDMPs were not distributed equally across the genome, and were depleted in regulatory domains characterized by open chromatin and the binding of known pancreatic development transcription factors. Finally, we compared our pancreas dDMPs to previous findings from the human brain, identifying evidence for tissue-specific developmental changes in DNA methylation. To our knowledge, this represents the most extensive exploration of DNA methylation patterns during human fetal pancreas development, confirming the prenatal period as a time of major epigenomic plasticity.

genomics↗

bioRxiv2023

A 3D-printed and freely available device to measure the zebrafish optokinetic response before and after injury

Zebrafish have eyes similar to humans, making them a beneficial model organism for studying vision. However, zebrafish are different in that they can regenerate their optic nerve after injury, which most other animals cannot. Measuring vision in people who have communicative ability is achieved using eye charts. Because fish cannot use an eye chart, we utilize the optokinetic response (OKR) that is present in virtually all vertebrates to determine if a zebrafish has eyesight. To this end, we have developed an inexpensive OKR setup that uses 3D-printed and off-the-shelf parts. This setup has been designed and used by undergraduate researchers and is also scalable to a classroom lab setup. We demonstrate that this setup is fully functional for assessing OKR, and we use it to illustrate the return of the OKR following optic nerve injury in adult zebrafish.

neuroscience↗

bioRxiv2023

Quantifying the proportion of different cell types in the human cortex using DNA methylation profiles

BackgroundDue to inter-individual variation in the cellular composition of the human cortex, it is essential that covariates that capture these differences are included in epigenome-wide association studies using bulk tissue. As experimentally derived cell counts are often unavailable, computational solutions have been adopted to estimate the proportion of different cell-types using DNA methylation data. Here, we validate and profile the use of an expanded reference DNA methylation dataset incorporating two neuronal- and three glial-cell subtypes for quantifying the cellular composition of the human cortex. ResultsWe tested eight reference panels containing different combinations of neuronal- and glial-cell types and characterized their performance in deconvoluting cell proportions from computationally reconstructed or empirically-derived human cortex DNA methylation data. Our analyses demonstrate that these novel brain deconvolution models produce accurate estimates of cellular proportions from profiles generated on postnatal human cortex samples, they are not appropriate for the use in prenatal cortex or cerebellum tissue samples. Applying our models to an extensive collection of empirical datasets, we show that glial cells are twice as abundant as neuronal cells in the human cortex and identify significant associations between increased Alzheimers disease neuropathology and the proportion of specific cell types including a decrease in NeuNNeg/SOX10Neg nuclei and an increase of NeuNNeg/SOX10Pos nuclei. ConclusionsOur novel deconvolution models produce accurate estimates for cell proportions in the human cortex. These models are available as a resource to the community enabling the control of cellular heterogeneity in epigenetic studies of brain disorders performed on bulk cortex tissue.

genomics↗

bioRxiv2023

Metagenomic survey of antimicrobial resistance (AMR) in Maryland surface waters differentiated by high and low human impact

In alignment with the One Health paradigm, surface waters are being evaluated as a modality to better understand baseline antimicrobial resistance (AMR) across the environment to supplement existing AMR monitoring in pathogens associated with humans, foods, and animals. Here, we use metagenomic and quasimetagenomic sequence data to describe AMR in Maryland surface waters from developed (high human impact) and natural (low human impact) classifications by the National Land Cover Database (NLCD). Critically important {beta}-lactamase genes were observed in twice as many high human impact zones. All data are available under BioProject PRJNA79347. https://www.ncbi.nlm.nih.gov/bioproject/794347

microbiology↗

bioRxiv2022

Mining the human gut microbiome identifies mycobacterial D-arabinan degrading enzymes

Division and degradation of bacterial cell walls requires coordinated action of a myriad of enzymes. This particularly applies to the elaborate cell walls of acid-fast organisms such as Mycobacterium tuberculosis, which consist of a multi-layered cell wall that contains an unusual glycan called arabinogalactan. Enzymes that cleave the O_SCPLOWDC_SCPLOW-arabinan core of this structure have not previously been identified in any organism. We have interrogated the diverse carbohydrate degrading enzymes expressed by the human gut microbiota and uncovered four families of glycoside hydrolases with the capability to degrade the O_SCPLOWDC_SCPLOW-arabinan or O_SCPLOWDC_SCPLOW-galactan components of arabinogalactan. Using novel exo-O_SCPLOWDC_SCPLOW-galactofuranosidases from gut bacteria we generated enriched O_SCPLOWDC_SCPLOW-arabinan and used it to identify D. gadei as a D-arabinan degrader. This enabled the discovery of endo- and exo-acting enzymes that cleave D-arabinan. We have identified new members of the DUF2961 family (GH172), and a novel family of glycoside hydrolases (DUF4185) that display endo-O_SCPLOWDC_SCPLOW-arabinofuranase activity. The DUF4185 enzymes are conserved in mycobacteria and found in many microbes, suggesting that the ability to degrade mycobacterial glycans plays an important role in the biology of diverse organisms. All mycobacteria encode two conserved endo-O_SCPLOWDC_SCPLOW-arabinanases that display different preferences for the O_SCPLOWDC_SCPLOW-arabinan-containing cell wall components arabinogalactan and lipoarabinomannan, suggesting they are important for cell wall modification and/or degradation. The discovery of these enzymes will support future studies into the structure and function of the mycobacterial cell wall.

biochemistry↗

bioRxiv2022

Colour vision is aligned with natural scene statistics at 4-months of age

Visual perception in adult humans is thought to be optimised to represent the statistical regularities of natural scenes (Parraga et al., 2000; Simoncelli, 2003). For example, in adults, visual sensitivity to different hues shows an asymmetry which coincides with the statistical regularities of colour in the natural world (Bosten et al., 2015). Infants are sensitive to statistical regularities in social and linguistic stimuli, but whether or not infants visual systems are tuned to natural scene statistics is currently unclear. We measured colour discrimination in infants to investigate whether or not the visual system can represent chromatic scene statistics in very early life. Our results reveal the earliest association between vision and natural scene statistics that has yet been found: even as young as four months of age, colour vision is aligned with the distributions of colours in natural scenes. Research HighlightsO_LIWe find infants hue sensitivity is aligned with the distribution of colours in the natural world, as it is in adults C_LIO_LIAt just 4 months, infants visual systems are tailored to extract and represent the statistical regularities of the natural world C_LIO_LIThis points to a drive for the human brain to represent statistical regularities even at a young age. C_LI

neuroscience↗

bioRxiv2022

Color-biased regions in the ventral visual pathway are food-selective

The ventral visual pathway is well known to be involved in recognizing and categorizing objects (Kanwisher and Dilks, 2013). Three color-biased areas have also been found between face and place selective areas in the ventral visual pathway (Lafer-Sousa et al., 2016). To understand the function of these color-biased areas in a region known for object recognition, we analyzed the Natural Scenes Dataset (NSD; Allen et al., 2022), a large 7T fMRI dataset from 8 participants who viewed up to 30,000 trials of images of colored natural scenes. In a whole-brain analysis, we correlated the average color saturation of the images and the voxel responses, revealing color-biased areas that diverge into two streams in the ventral visual pathway, beginning in V4 and extending medially and laterally of the Fusiform Face Area in both hemispheres. We drew regions of interest (ROIs) for the two streams and found that the images for each ROI that evoked the largest responses had certain characteristics: They contained food, contained circular objects, had higher color saturation, contained warmer hues, and had more luminance entropy. A multiple linear regression showed that the presence of food in images was the strongest predictor of voxel responses in the medial and lateral color-biased regions for all eight participants, but that color saturation also contributed independently to voxel responses. Our results show that these areas are food-selective and color biased. We suggest that these streams might be involved in using color to recognize and judge the properties of food.

neuroscience↗

bioRxiv2018

The processing of color preference in the brain

Decades of research has established that humans have preferences for some colors (e.g., blue) and a dislike of others (e.g., dark chartreuse), with preference varying systematically with variation in hue (e.g., Hurlbert & Owen, 2015). Here, we used functional MRI to investigate why humans have likes and dislikes for simple patches of color, and to understand the neural basis of preference, aesthetics and value judgements more generally. We looked for correlations of a behavioural measure of color preference with the blood oxygen level-dependent (BOLD) response when participants performed an irrelevant orientation judgement task on colored squares. A whole brain analysis found a significant correlation between BOLD activity and color preference in the posterior midline cortex (PMC), centred on the precuneus but extending into the adjacent posterior cingulate and cuneus. These results demonstrate that brain activity is modulated by color preference, even when such preferences are irrelevant to the ongoing task the participants are engaged. They also suggest that color preferences automatically influence our processing of the visual world. Interestingly, the effect in the PMC overlaps with regions identified in neuroimaging studies of preference and value judgements of other types of stimuli. Therefore, our findings extends this literature to show that the PMC is related to automatic encoding of subjective value even for basic visual features such as color.

neuroscience↗