Biology subjects

Felix, J.

Publications and source records attributed to Felix, J..

18 recordsLinked to original sources

bioRxiv2026

BioSecBench-Function: A Verifiable Benchmark for Reasoning about Biological Function from Experimental Data

Inferring biological function from experimental data is central to understanding emerging pathogens and developing effective countermeasures, yet interpreting these data remains slow and expert-intensive. AI agents could help accelerate this process by reasoning across sequence, structural, and biophysical evidence. We present BioSecBench-Function, a verifiable benchmark for recovering biosecurity-relevant function from real biological data. The benchmark comprises 111 evaluations built from published datasets and graded deterministically against ground truth. We organize evaluations along two dimensions: threat axis (spanning seven biosecurity-relevant question types) and biological question (indicating whether the solution depends primarily on sequence, structure, or biophysical assay data). Across 7,326 runs from twenty-two model-harness configurations, Opus 5 under Claude Code led on endpoint pass rate at 50.3%, and Grok 4.6 under Grok Build led on overall pass rate at 44.1% when refusals counted as failures. Performance varied substantially across both model-harness configurations and task categories. Refusal rates differed sharply by provider, and cost was a poor predictor of accuracy: several configurations exceeded 40% pass rate at low cost. BioSecBench-Function provides a standard for measuring whether agents can be trusted to interpret what a new pathogen or variant does when the next outbreak arrives.

biophysics↗

bioRxiv2026

Development of a microRNA clock for gestational age in the general population

IntroductionDNA methylation (DNAm) has shown promise as a biological marker of gestational age (GA). Here, we aimed to characterize how plasma circulating miRNAs - another epigenetic mechanism regulating gene expression - associate with GA at birth, and to construct a miRNA-based GA clock (miRClock-GA). MethodsWe leveraged 2083 umbilical cord plasma-derived circulating miRNAs from Generation R (N=1695). First, we performed linear regressions to identify miRNome-wide significant miRNAs associated with GA. Second, we applied elastic net regression to construct miRClock-GA. These steps were validated in Gen3G (N=213). Finally, we computed age acceleration (miRClock-AA) and evaluated association of miRClock-GA and miRClock-AA with child developmental outcomes up to 17 years of age, including comparisons with DNAmClocks. FindingsWe identified 123 miRNAs associated with GA, with miR-150-5p showing the strongest positive association ( B=0.244, SE=0.036, P=2.3e-11) and miR-373-3p the strongest negative association ( B=-0.255, SE=0.065, P=8.6e-5). MiRClock-GA correlated consistently with GA in Generation R train (rrange=0.62-0.72) and test sets (rrange=0.45-0.52) and in the independent validation cohort (rGen3G =0.33). Correlations between miRClock-GA and DNAmClocks were weak to moderate (rrange=0.28-0.42). MiRClock-AA explained significant variance in birthweight and childhood BMI beyond clinical GA. ConclusionsThis study reveals widespread associations between circulating miRNAs and GA, supports miRClock-GA as a consistent, well-performing biological marker of GA, with miRClock-AA predicting birthweight and childhood BMI beyond GA itself. Our findings provide a broader perspective on the potential utility of miRNAs as early markers of development. FundingE.U. Horizon Europe Research and Innovation Programme (FAMILY,No.101057529); European Research Council (TEMPO,No.101039672). Full funding in Acknowledgements. Research in contextO_ST_ABSEvidence before this studyC_ST_ABSEpigenetic clocks have emerged as powerful tools for assessing individual differences in biological ageing. Existing epigenetic clocks are typically constructed using DNA methylation (DNAm) data and are developed to estimate whether an individuals epigenetic age deviates relative to their chronological age. In adults, higher predicted biological epigenetic age than chronological age (accelerated epigenetic ageing) is an established indicator of mortality risk and other age-related morbidities. MicroRNAs are another epigenetic mechanism associated with chronological age and age-related phenotypes across species such as C. elegans, mice, primates and humans. Recently, a plasma-derived, cell-free circulating miRNA clock was developed in a sample of older European adults, with accelerated miRNA age predicting biological age-related conditions such as frailty and multi-system blood biomarkers. However, miRNA-based estimations of biological gestational age at birth have not been previously done and their relationship to child health outcomes are unknown. Added value of this studyTo gain a broader perspective on the role of epigenetic markers in biological gestational age at birth and the potential utility of miRNAs as early markers of (altered) development, we leveraged cord blood plasma circulating miRNA data collected at birth in a large population-based cohort. First, we identified 123 miRNAs associated with gestational age. Second, we used this information to construct a miRNA-based epigenetic clock for gestational age (miRClock-GA) and validated this clock in an independent cohort. MiRClock-GA showed moderate correlations with both gestational age and existing DNAm-based gestational clocks. Third, we found that miRClock-GA correlated cross-sectionally with birthweight, as well as prospectively with several adaptive, behavioural, cognitive, and growth outcomes measured up to age 17y, after taking into account maternal influences such as maternal education level, smoking, pre-pregnancy BMI, and age. Accelerated ageing of miRClock-GA (miRClock-AA) explained variance in birthweight and childhood BMI beyond clinical GA, after accounting for maternal influences. Implications of all available evidenceOur study provides the first large-scale evidence that circulating miRNAs in cord blood plasma show widespread associations with gestational age at birth and can be used to derive a robust biological marker of GA (MiRClock-GA), which explains a substantial proportion of the variation in clinical GA. MiRClock-AA provides information beyond GA in some child outcomes, such as BMI. These findings extend adult research, supporting the potential of miRNAs as promising markers for early risk assessment and health monitoring in a developmental context.

genomics↗

bioRxiv2026

Identification of Dynamic Genetic Influences on DNA Methylation from Birth to Adulthood

Whether and how genetic regulation of DNA methylation (DNAm) change across the lifespan remains unclear. Here, we map age-dependent methylation quantitative trait loci (longitudinal mQTLs) using linear mixed models applied to repeated blood DNAm measures from birth, childhood, adolescence and adulthood in the Avon Longitudinal Study of Parents and Children. We identify 2,210 longitudinal mQTLs (2,393 SNP-CpG pairs; 7.3% trans) and observe consistent genotype-by-age effects in two independent cohorts of diverse ancestries (Pearsons r = 0.85 in the Generation R Study; r = 0.56 in the Drakenstein Child Health Study). Longitudinal mQTLs show increasing effects with age at half of loci and associations with multiple phenotypes. CpGs with longitudinal mQTLs are more heritable and enriched in regulatory elements and pathways related to multicellular organism development and cell adhesion. These results chart dynamic genetic influences on the human methylome and provide a novel perspective on epigenetic regulation.

genomics↗

bioRxiv2025

Lipid-stabilized ICG nanoaggregates for the photodisruption of vitreous opacities

Collagen aggregation in the vitreous is a major cause of vision impairment. Current treatments such as vitrectomy or YAG laser vitreolysis remain limited by invasiveness and safety concerns. In previous work, we introduced a novel approach combining indocyanine green (ICG) with nanosecond laser pulses to achieve photodisruption of collagen aggregates via vapor nanobubbles (VNBs), while using a significantly lower total light dose than that applied in clinical laser vitreolysis. However, despite its clinical approval, free ICG poses a risk of retinal toxicity. In this work, we report the development of ICG nanoaggregates (ICG AGG NPs) stabilized with a minimal amount of a hyaluronic acid (HA)-lipid (DOPE) conjugate designed to limit retinal penetration of ICG while preserving efficient VNB generation and collagen aggregate disruption. We demonstrate that supramolecular aggregation is a key requirement for efficient VNB generation, whereas encapsulation of ICG in conventional liposomes impairs this process. Using a newly established in vitro model for quantifying collagen disruption, we show that ICG AGG NPs significantly enhance photodisruption compared to free ICG. Furthermore, cell toxicity assays on retinal pigment epithelium (RPE) and Muller cells indicate that ICG AGG NPs maintain an acceptable safety profile at therapeutic concentrations. These findings represent the first successful demonstration of dye-loaded nanoparticles enabling efficient VNB-mediated photodisruption of vitreous opacities and highlight the promise of ICG AGG NPs as a safer and more effective alternative to free ICG for floater treatment.

biophysics↗

bioRxiv2025

Epigenome-wide association study meta-analysis of wellbeing

Wellbeing is associated with both behavioral phenotypes as well as several key life outcomes, such as health, employment, and coping with stressful events. These phenotypes associated with wellbeing could be potential indicators of differential epigenetic patterns between individuals that differ in their levels of wellbeing. We performed the largest epigenome-wide (EWAS) meta-analysis of wellbeing to date by combining whole blood DNA methylation data (Illumina 450k array) from 13 cohorts from Europe, Australia, and the USA (N = 10,757 participants). After correcting for smoking and BMI, no epigenome-wide significant methylation sites were identified. We tested whether a weighted methylation score (MS) based on leave-one-cohort-out EWAS meta-analysis summary statistics predicted wellbeing in an independent cohort, and whether prediction was significant over and above the polygenic score (PGS) for wellbeing. The MS was associated with wellbeing (variance explained=0.22%, p=0.03) and was no longer significant after adding the polygenic score (PGS; variance explained=0.43%, p=0.0046, MS; variance explained=0.07%, p=0.2842). We further compared DNA methylation levels in 16 pairs of monozygotic twins discordant for wellbeing. These analyses revealed no significant within-pair DNA methylation differences at the top-sites from the meta-analysis or in MS. Our results suggest that larger EWAS meta-analyses with uniform phenotype assessment are required to identify methylation sites associated with wellbeing.

genomics↗

bioRxiv2025

Structural basis of pro-inflammatory signaling via the Interleukin-36 receptor (IL-36R) mediated by IL-36γ and IL-37

Interleukin-36 receptor (IL-36R) is activated by IL-36, IL-36{beta}, and IL-36{gamma} to elicit pro-inflammatory signaling and is targeted in acute skin inflammation by the approved antibody spesolimab. IL-37 was recently proposed as a new IL-36R agonist. Such diverse agonist repertoire together with the antagonistic IL-36Ra and IL-38 create a fascinating structure-function landscape for IL-36R, albeit one that is poorly understood. Here, we elucidate how IL-36R grapples IL-36{gamma} with low affinity to enable facile recruitment of the shared receptor IL-1RAcP with high-affinity. In contrast, IL-36R interacts with IL-37 via the exact opposite binding signature. Comparative interrogation of IL-36R activation by IL-36{gamma} and IL-37 confirmed their common pro-inflammatory signature and distinguished IL-36{gamma} as markedly more pro-inflammatory. Structural comparisons of cytokine-activated versus spesolimab-antagonized IL-36R revealed spesolimabs mode of action as an allosteric antagonist. Collectively, our study provides the structural and mechanistic blueprint of IL-36R activation by distinct cytokines and will facilitate its therapeutic targeting. One Sentence SummaryStructural blueprint for IL-36R activation by cognate cytokines and its antagonism by spesolimab in generalized pustular psoriasis.

immunology↗

bioRxiv2025

Themis and Grb2 form a constitutive structural hub in T cell receptor signalling

Positive selection of thymocytes is essential for laying the foundations of the mammalian immune system that include the T cell repertoire, self-tolerance, and prevention of autoimmunity. Themis, the archetypal member of a metazoan protein family featuring distinctive CABIT domains, crucially regulates thymocyte positive selection by linking signalling by the T cell receptor (TCR) to the linker of activation of TCR (LAT). Intriguingly, Themis has been proposed to function via a constitutive complex with the multifunctional adaptor Grb2. Although poised to represent a paradigm shift in our understanding of TCR signalling, the structural and mechanistic basis of such an assembly has remained enigmatic. Here, we present the cryo-EM structure of Themis in complex with Grb2, which reveals how the tandem CABIT domains of Themis engulf the C-terminal SH3 domain of Grb2 (Grb2SH3C) to enable its latching onto the proline rich sequence of Themis. The remaining two domains of Grb2 adopt at least three conformational poses set to interact with other binding partners such as Sos1. Structural insights from unbound Themis unmask the pronounced flexibility of the CABIT domains of Themis, which becomes ordered upon binding to Grb2 to create a binding hotspot for their constitutive complex. Indeed, Themis variants that abrogate interactions with Grb2 also fail to activate the tyrosine phosphatase SHP-1 after TCR stimulation, analogous to the functional phenotype of Themis-deficient cells. Collectively, our study draws the blueprint of the Themis-Grb2 complex as a dynamic structural hub in T cell development.

immunology↗

bioRxiv2024

Reanalysis of cryo-EM data reveals ALK-cytokine assemblies with distinct stoichiometries

Activation of Anaplastic lymphoma kinase (ALK) and leukocyte tyrosine kinase (LTK) by their cognate cytokines ALKAL2 and ALKAL1 play important roles in development, metabolism, and cancer. Recent structural studies revealed ALK/LTK-cytokine assemblies with distinct stoichiometries. Structures of ALK-ALKAL2 and LTK-ALKAL1 complexes with 2:1 stoichiometry determined by X-ray crystallography (De Munck et al. Nature, 2021) contrasted the 2:2 ALK-ALKAL2 complexes determined by cryo-EM (Reshetnyak et al., Nature, 2021) and X-ray crystallography (Li et al., Nature, 2021). Here, we show based on reanalysis of the cryo-EM data deposited in EMPIAR- 10930 that over half of the ALK-ALKAL2 particles in the dataset are classified into 2D classes obeying a 2:1 stoichiometry besides the originally reported structure displaying 2:2 stoichiometry. Unlike particles representing the 2:2 ALK-ALKAL2 complex, particles for the 2:1 ALK-ALKAL2 complex suffer severely from preferred orientations that resulted in cryo-EM maps displaying strong anisotropy. Here, we show that extensive particle orientation rebalancing in cryoSPARC followed by 3D refinement with Blush regularization in RELION constitutes an effective strategy for avoiding map artefacts relating to preferred particle orientations and report a 3D reconstruction of the 2:1 ALK-ALKAL2 complex to 3.2 [A] resolution from EMPIAR-10930. This new cryo-EM structure together with the crystal structures of ALK-ALKAL2 and LTK-ALKAL1 complexes with 2:1 stoichiometry reconciles a common receptor dimerization mode for ALK and LTK and provides direct evidence for the presence of an ALK-ALKAL2 complex with 2:1 stoichiometry next to the reported 2:2 stoichiometric assembly in the EMPIAR-10930 dataset. Finally, our analysis emphasizes the importance of public deposition of raw cryo-EM data to allow reanalysis and interpretation.

molecular biology↗

bioRxiv2023

An epigenome-wide association study of child appetitive traits and DNA methylation

Childhood appetitive traits are consistently associated with obesity risk, and yet their etiology is poorly understood. Appetitive traits are complex phenotypes which are hypothesized to be influenced by both genetic and environmental factors, as well as their interactions. Early-life epigenetic processes, such as DNA methylation (DNAm), may be involved in the developmental programming of appetite regulation in childhood. In the current study, we meta-analyzed epigenome-wide association studies (EWASs) of cord blood DNAm and early-childhood appetitive traits. Data were from two independent cohorts: the Generation R Study (n=1,086, Rotterdam, the Netherlands) and the Healthy Start study (n=236, Colorado, USA). DNAm at autosomal methylation sites in cord blood was measured using the Illumina Infinium HumanMethylation450 BeadChip. Parents reported on their childs food responsiveness, emotional undereating, satiety responsiveness and food fussiness using the Childrens Eating Behaviour Questionnaire at age 4-5 years. Multiple regression models were used to examine the association of DNAm (predictor) at the individual site- and regional-level (using DMRff) with each appetitive trait (outcome), adjusting for covariates. Bonferroni-correction was applied to adjust for multiple testing. There were no associations of DNAm and any appetitive trait at the individual site-level. However, at the regional level, we identified 45 associations of DNAm with food responsiveness, 7 associations of DNAm with emotional undereating, 13 associations of DNAm with satiety responsiveness, and 9 associations of DNAm with food fussiness. This study shows that DNAm in the newborn may partially explain variation in appetitive traits expressed in early childhood and provides preliminary support for early programming of child appetitive traits through DNAm. Investigating differential DNAm associated with appetitive traits could be an important first step in identifying biological pathways underlying the development of these behaviors.

genetics↗

bioRxiv2023

Structures of complete extracellular receptor assemblies mediated by IL-12 and IL-23

Cell-surface receptor complexes mediated by pro-inflammatory Interleukin-12 and -23, both validated therapeutic targets, are incompletely understood due to the lack of structural insights into their complete extracellular assemblies. Furthermore, there is a paucity of structural details describing the IL-12:receptor interaction interfaces, in contrast to IL23:receptor complexes. Here we report cryo-EM structures of fully assembled IL-12/IL-23:receptor complexes comprising the complete extracellular segments of the cognate receptors. The structures reveal important commonalities but also surprisingly diverse features. Whereas IL-12 and IL-23 both utilize a conspicuously presented aromatic residue on their -subunit as a hotspot to interact with the N-terminal Ig-domain of their high affinity receptors, only IL-12 juxtaposes receptor domains proximal to the cell-membrane. Collectively, our findings will enable a cytokine-specific interrogation of IL-12 and IL-23 signaling in physiology and disease.

molecular biology↗

bioRxiv2022

Mechanism of receptor assembly via the pleiotropic adipokine Leptin

The adipokine Leptin activates its type I cytokine receptor (LEP-R) in the hypothalamus to regulate body weight and exerts additional pleiotropic functions in immunity, fertility, and cancer. However, the structure and mechanism of Leptin-mediated LEP-R assemblies has remained unclear. Here, we show that Leptin:LEP-R assemblies adopt an unprecedented structure within the type I cytokine receptor family featuring 3:3 stoichiometry. We validate Leptin-induced trimerization of LEP-R in the plasma membrane of living cells via multicolor single molecule microscopy. In mediating such assemblies Leptin undergoes drastic restructuring that activates its site III for binding to the Ig-domain of an adjacent LEP-R molecule in the complex. These interactions are abolished by pathological mutations linked to obesity. Collectively, our study uncovers an evolutionarily conserved Leptin:LEP-R assembly as a new mechanistic blueprint for Leptin-mediated signaling in physiology and disease, including insights into how the lowly abundant signaling-competent isoforms of LEP-R can productively participate in signaling.

molecular biology↗

bioRxiv2022

The AAA+ ATPase RavA and its binding partner ViaA modulate E. coli aminoglycoside sensitivity through interaction with the inner membrane

Enteric bacteria have to adapt to environmental stresses in the human gastrointestinal tract such as acid and nutrient stress, oxygen limitation and exposure to antibiotics. Membrane lipid composition has recently emerged as a key factor for stress adaptation. The E. coli ravA-viaA operon is essential for aminoglycoside bactericidal activity under anaerobiosis but its mechanism of action is unclear. Here we characterise the VWA domain-protein ViaA and its interaction with the AAA+ ATPase RavA, and find that both proteins localise at the inner cell membrane. We demonstrate that RavA and ViaA target specific phospholipids and subsequently identify their lipid-binding sites. We further show that mutations abolishing interaction with lipids restore induced changes in cell membrane morphology and lipid composition. Finally we reveal that these mutations render E. coli gentamicin-resistant under fumarate respiration conditions. Our work thus uncovers a ravA-viaA-based pathway which is mobilised in response to antibiotics under anaerobiosis and has a major impact on cell membrane regulation.

microbiology↗

bioRxiv2020

Meta-analysis of epigenome-wide associations between DNA methylation at birth and childhood cognitive skills.

Cognitive skills are a strong predictor of a wide range of later life outcomes. Genetic and epigenetic associations across the genome explain some of the variation in general cognitive abilities in the general population and it is plausible that epigenetic associations might arise from prenatal environmental exposures and/or genetic variation early in life. We investigated the association between cord blood DNA methylation at birth and cognitive skills assessed in children from eight pregnancy cohorts (N=2196-3798) within the Pregnancy And Childhood Epigenetics (PACE) Consortium across overall, verbal and non-verbal cognitive scores. The associations at single CpG sites were weak for all of the cognitive domains investigated. One region near DUSP22 on chromosome 6 was associated with non-verbal cognition in a model adjusted for maternal IQ. We conclude that there is little evidence to support the idea that cord blood DNA methylation at single CpGs can predict cognitive skills and further studies are needed to confirm regional differences.

developmental biology↗

bioRxiv2020

DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan

DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N=15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha=1.2x10-7; Bonferroni correction). In cord blood samples of 2,425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r=0.74, p=0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripherl blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range=3-82%) of the aggression-methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits.

genetics↗

bioRxiv2020

Supramolecular assembly of the E. coli LdcI upon acid stress

Pathogenic and commensal bacteria often have to resist the harsh acidity of the host stomach. The inducible lysine decarboxylase LdcI buffers the cytosol and the local extracellular environment to ensure enterobacterial survival at low pH. Here, we investigate the acid-stress response regulation of E. coli LdcI by combining biochemical and biophysical characterisation with negative stain and cryo-electron microscopy, and wide-field and super-resolution fluorescence imaging. Due to deleterious effects of fluorescent protein fusions on native LdcI decamers, we opt for three-dimensional localisation of nanobody-labelled endogenous wild-type LdcI in acid-stressed E. coli cells, and show that it organises into distinct patches at the cell periphery. Consistent with recent hypotheses that in vivo clustering of metabolic enzymes often reflects their polymerisation as a means of stimulus-induced regulation, we show that LdcI assembles into filaments in vitro at physiologically relevant low pH. We solve the structures of these filaments and of the LdcI decamer formed at neutral pH by cryo-electron microscopy, and reveal the molecular determinants of LdcI polymerisation, confirmed by mutational analysis. Finally, we propose a model for LdcI function inside the enterobacterial cell, providing a structural and mechanistic basis for further investigation of the role of its supramolecular organisation in the acid stress response.Significance statement Bacteria possess a sophisticated arsenal of defence mechanisms that allow them to survive in adverse conditions. Adaptation to acid stress and hypoxia is crucial for the enterobacterial transmission in the gastrointestinal tract of their human host. When subjected to low pH, E. coli and many other enterobacteria activate a proton-consuming resistance system based on the acid-stress inducible lysine decarboxylase LdcI. Here we develop generally-applicable tools to uncover the spatial localisation of LdcI inside the cell by super-resolution fluorescence microscopy, and investigate the in vitro supramolecular organisation of this enzyme by cryo-EM. We build on these results to propose a mechanistic model for LdcI function and offer tools for further in vivo investigations.Competing Interest StatementThe authors have declared no competing interest.View Full Text

microbiology↗

bioRxiv2019

Mechanism of the allosteric activation of the ClpP protease machinery by substrates and active-site inhibitors

Coordinated conformational transitions in oligomeric enzymatic complexes modulate function in response to substrates and play a crucial role in enzyme inhibition and activation. ClpP protease is a tetradecameric complex that has emerged as a drug target against multiple pathogenic bacteria. During drug development efforts, the activation of different ClpPs by inhibitors was independently reported, but so far, no rationale for inhibitor-induced activation has been proposed. Using an integrated approach that included X-ray crystallography, solid-and solution-state NMR, MD simulations and ITC we show that the proteasome-inhibitor bortezomib binds to the ClpP active site serine mimicking a peptide substrate and induces the concerted allosteric activation of the complex. The bortezomib activated conformation also displays a higher affinity for its cognate unfoldase ClpX. We propose a universal allosteric mechanism where substrate binding to a single subunit locks ClpP into an active conformation optimized for chaperone association as well as protein processive degradation.

biochemistry↗

bioRxiv2019

Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data

BackgroundUmbilical cord blood (UCB) is commonly used in epigenome-wide association studies of prenatal exposures. Accounting for cell type composition is critical in such studies as it reduces confounding due to the cell specificity of DNA methylation (DNAm). In the absence of cell sorting information, statistical methods can be applied to deconvolve heterogeneous cell mixtures. Among these methods, reference-based approaches leverage age appropriate cell-specific DNA-methylation profiles to estimate cellular composition. In UCB, four reference datasets comprising DNAm signatures profiled in purified cell populations have been published using the Illumina 450K and 850K EPIC arrays. These datasets are biologically and technically different, and currently there is no consensus on how to best apply them. Here, we systematically evaluate and compare these datasets and provide recommendations for reference-based UCB deconvolution.\n\nResultsWe first evaluated the four reference datasets to ascertain both the purity of the samples and the potential cell cross-contamination. We filtered samples and combined datasets to obtain a joint UCB reference. We selected deconvolution libraries using two different approaches: automatic selection using the top differentially methylated probes from the function pickCompProbes in minfi and a standardized library selected using the IDOL (Identifying Optimal Libraries) iterative algorithm. We compared the performance of each reference separately and in combination, using the two approaches for reference library selection, and validated the results in an independent cohort (Generation R Study, n=191) with matched FACS measured cell counts. Strict filtering and combination of the references significantly improved the accuracy and efficiency of cell type estimates. Ultimately, the IDOL library outperformed the library from the automatic selection method implemented in pickCompProbes.\n\nConclusionThese results have important implications for epigenetic studies in UCB as implementing this method will optimally reduce confounding due to cellular heterogeneity. This work provides guidelines for future reference-based UCB deconvolution and establishes a framework for combining reference datasets in other tissues.

bioinformatics↗

bioRxiv2017

Deep Sequencing: Intra-Terrestrial Metagenomics Illustrates The Potential Of Off-Grid Nanopore DNA Sequencing

Genetic and genomic analysis of nucleic acids from environmental samples has helped transform our perception of the Earths subsurface as a major reservoir of microbial novelty. Many of the microbial taxa living in the subsurface are under-represented in culture-dependent investigations. In this regard, metagenomic analyses of subsurface environments exemplify both the utility of metagenomics and its power to explore microbial life in some of the most extreme and inaccessible environments on Earth. Hitherto, the transfer of microbial samples to home laboratories for DNA sequencing and bioinformatics is the standard operating procedure for exploring microbial diversity. This approach incurs logistical challenges and delays the characterization of microbial biodiversity. For selected applications, increased portability and agility in metagenomic analysis is therefore desirable. Here, we describe the implementation of sample extraction, metagenomic library preparation, nanopore DNA sequencing and taxonomic classification using a portable, battery-powered, suite of off-the-shelf tools (the \"MetageNomad\") to sequence ochreous sediment microbiota while within the South Wales Coalfield. While our analyses were frustrated by short read lengths and a limited yield of DNA, within the assignable reads, Proteobacterial (-, {beta}-, {gamma}-Proteobacteria) taxa dominated, followed by members of Actinobacteria, Firmicutes and Bacteroidetes, all of which have previously been identified in coals. Further to this, the fungal genus Candida was detected, as well as a methanogenic archaeal taxon. To the best of our knowledge, this application of the MetageNomad represents an initial effort to conduct metagenomics within the subsurface, and stimulates further developments to take metagenomics off the beaten track.

microbiology↗