Biology subjects

Krueger, F.

Publications and source records attributed to Krueger, F..

At least 19 recordsLinked to original sources

bioRxiv2026

Scientific computing in the age of agentic AI: an exploratory field report

Scientific computing has become a central component of modern scientific discovery. Yet many computational tools are developed by small, specialized teams under incentives that encourage the release of rapidly prototyped tooling without commensurate attention to engineering concerns, including performance and maintainability. These gaps are particularly visible in the life sciences, where the advent of high-throughput sequencing and molecular profiling has made the production and processing of datasets routine at scales that strain reliability and cost. Recently, LLM-based agents have become increasingly capable, with publicly available systems possessing both significant domain knowledge in many scientific fields and the ability to autonomously operate over complex and specialized codebases in pursuit of well-defined goals. Together, these developments create a practical opportunity for scientific computing. Many of the persistent weaknesses of the scientific computing ecosystem stem from technical debt and a shortage of sustained engineering labor and expertise. Here, we examine coding agents as a potential way to address these weaknesses: we present an exploratory field report of eight early case studies in the application of LLM agents to scientific computing across a range of project scopes, from lightweight maintenance tasks to full performance-oriented rewrites of scientific libraries, with a focus on the life sciences. Each of these case studies is accompanied by reflections from the individual or group responsible for the work, including lessons from the process. Overall, we find that the use of coding agents in scientific computing holds great promise for accelerating scientific research and increasing the reliability of critical systems, but that outstanding concerns remain, including responsibility and ownership for such projects, and we suggest collaboration and stewardship with existing maintainers when feasible.

bioinformatics↗

bioRxiv2024

Evidence for distinct networks underlying symptom clusters of posttraumatic stress disorder

BackgroundClinical and psychometric evidence has long supported a multidimensional model of PTSD, with symptom subcategories derived from factor analytic methods. Although research on the biological bases of PTSD as a unitary construct is profuse, comparatively few studies have examined the neural mechanisms underlying subcategories of PTSD symptoms. The present study aimed to provide the first evidence of causal relationships between brain structure and PTSD symptom subcategories, using a lesion-behavior mapping approach. MethodsUsing a group of male combat veterans with focal penetrating traumatic brain injuries (n = 177), we determined the effects of focal damage on the PTSD symptom subcategories of hyperarousal, avoidance, and re-experiencing. ResultsOur findings revealed two distinct networks that underlie symptom subcategories of PTSD: (1) an amygdala-ventromedial prefrontal cortex network underlying hyperarousal and avoidance symptoms, in which amygdala damage acts as a risk factor for the development of these symptoms, while vmPFC damage acts as a protective factor against the same symptoms; and (2) a hippocampal network underlying re-experiencing and avoidance, in which hippocampal damage acts as a protective factor against these symptoms. ConclusionsThe present study provides novel insights regarding the causal role of key brain regions in the heterogeneous expression of PTSD symptoms. Results not only contribute to a more complete picture of the neural mechanisms underlying PTSD, but may also aid in the future development of individualized therapeutic strategies that target specific symptom profiles.

neuroscience↗

bioRxiv2024

Trait anxiety impairs reciprocity behavior: A multi-modal and computational modeling study

Anxiety significantly impacts reciprocal behavior, crucial for positive social interactions. The neurocomputational mechanisms of anxietys effects on the core (individual propensity) and peripheral (decision context) factors shaping reciprocity remain unclear. Here, we investigated reciprocity in individuals with low and high trait anxiety using a binary trust game with gain/loss framing, combining computational modeling, eye-tracking, and event-related potentials (ERPs). Our computational model, validated by eye-tracking data, identified four psychological components driving reciprocal behavior: reward, guilt aversion, superiority aversion, and superiority attraction. Regarding the core of reciprocity, trait anxiety diminished both overall reciprocity and specific psychological components like guilt aversion and superiority attraction, irrespective of context. The reduction in guilt aversion was supported by ERP findings showing decreased P2 (selective attention) and increased LPP (emotion regulation) amplitudes in anxious individuals. Regarding the periphery of reciprocity, trait anxiety altered the contextual perception of both superiority aversion and reward. Further, trait anxiety reversed the perception of superiority aversion from gain to loss contexts, a pattern that was linked to the N2 amplitudes (cognitive control). Our findings revealed distinct effects of trait anxiety on core and peripheral factors in reciprocity, offering potential targets for interventions aimed at improving reciprocity in individuals with anxiety disorders.

neuroscience↗

bioRxiv2023

Stability of Genomic Imprinting and X-Chromosome Inactivation in the Aging Brain

Epigenetic drift is a hallmark of aging that contributes to the irreversible decline in organismal fitness ultimately leading to aging-related diseases. Epigenetic modifications regulate the cellular memory of the epigenetic processes of genomic imprinting and X-chromosome inactivation to ensure monoallelic expression of imprinted and X-linked genes. Whether epigenetic drift affects maintenance of genomic imprinting and X-chromosome inactivation has not been comprehensively studied. Here, we investigate the allele-specific transcriptional and epigenetic signatures of the aging brain, by comparing juvenile and old hybrid mice obtained from C57BL/6J (BL6) & CAST/EiJ (CAST) reciprocal crosses, with an emphasis on the hippocampus (HCP). We confirm that the aged HCP shows an increase of DNA hydroxymethylation, a sign of epigenetic drift, and a typical aging transcriptional signature. Genomic imprinting was found to be largely unaffected with stable parent-of-origin-specific DNA methylation in HCP, but also other brain regions such as the cerebellum (CB), nucleus accumbens, hypothalamus and prefrontal cortex. Consistently, transcriptomics analysis confirmed unaltered imprinting expression in the aged HCP. An exception are three novel non-coding transcripts (B230209E15Rik, Ube2nl and A330076H08Rik) at the Prader-Willi syndrome/Angelman syndrome (PWS/AS) imprinted locus which lose strict monoallelic expression during aging. Like imprinting, X-chromosome inactivation was remarkably stable with no signs of aging-driven skewing or relaxation of monoallelic expression of X-linked genes. Our study provides a valuable resource for evaluating monoallelic expression in the aging brain and reveals that, despite epigenetic drift during aging, genomic imprinting and X-chromosome inactivation remain predominantly stable throughout the process of physiological aging in the mouse brain.

molecular biology↗

bioRxiv2023

Single cell DNA methylation ageing in mouse blood

Ageing is the accumulation of changes and overall decline of the function of cells, organs and organisms over time. At the molecular and cellular level, the concept of biological age has been established and biomarkers of biological age have been identified, notably epigenetic DNA-methylation based clocks. With the emergence of single-cell DNA methylation profiling methods, the possibility to study biological age of individual cells has been proposed, and a first proof-of-concept study, based on limited single cell datasets mostly from early developmental origin, indicated the feasibility and relevance of this approach to better understand organismal changes and cellular ageing heterogeneity. Here we generated a large single-cell DNA methylation and matched transcriptome dataset from mouse peripheral blood samples, spanning a broad range of ages (10-101 weeks of age). We observed that the number of genes expressed increased at older ages, but gene specific changes were small. We next developed a robust single cell DNA methylation age predictor (scEpiAge), which can accurately predict age in a broad range of publicly available datasets, including very sparse data and it also predicts age in single cells. Interestingly, the DNA methylation age distribution is wider than technically expected in 19% of single cells, suggesting that epigenetic age heterogeneity is present in vivo and may relate to functional differences between cells. In addition, we observe differences in epigenetic ageing between the major blood cell types. Our work provides a foundation for better single-cell and sparse data epigenetic age predictors and highlights the significance of cellular heterogeneity during ageing. Highlights- Model to estimate DNA methylation age in single cells - Large multi-omics dataset of single cells from murine blood - Epigenetic age deviations from chronological age are greater than technical expected from technical variability - Number of genes expressed increases with chronological and epigenetic age

cell biology↗

bioRxiv2022

NANOGP1, a tandem duplicate of NANOG, exhibits partial functional conservation in human naive pluripotent stem cells

Gene duplication events are important drivers of evolution by providing genetic material for new gene functions. They also create opportunities for diverse developmental strategies to emerge between species. To study the contribution of duplicated genes to human early development, we examined the evolution and function of NANOGP1, a tandem duplicate of the key transcription factor NANOG. We found that NANOGP1 and NANOG have overlapping but distinct expression profiles, with high NANOGP1 expression restricted to early epiblast cells and naive-state pluripotent stem cells. Sequence analysis and epitope-tagging of the endogenous locus revealed that NANOGP1 is protein-coding with an intact homeobox domain. NANOGP1 has been retained only in great apes, whereas Old World monkeys have disabled the gene in different ways including point mutations in the homeodomain. NANOGP1 is a strong inducer of naive pluripotency; however, unlike NANOG, it is not required to maintain the undifferentiated status of human naive pluripotent cells. By retaining expression, sequence and partial functional conservation with its ancestral copy, NANOGP1 exemplifies how gene duplication and subfunctionalisation can contribute to transcription factor activity in human pluripotency and development. Summary statementEstablishing that NANOGP1 has retained partial functional conservation with its ancestral copy NANOG sheds light on the role of gene duplication and subfunctionalisation in human pluripotency and development.

developmental biology↗

bioRxiv2022

Decoding gene regulation in the mouse embryo using single-cell multi-omics

Following gastrulation, the three primary germ layers develop into the major organs in a process known as organogenesis. Single-cell RNA sequencing has enabled the profiling of the gene expression dynamics of these cell fate decisions, yet a comprehensive map of the interplay between transcription factors and cis-regulatory elements is lacking, as are the underlying gene regulatory networks. Here we generate a multi-omics atlas of mouse early organogenesis by simultaneously profiling gene expression and chromatin accessibility from tens of thousands of single cells. We develop a computational method to leverage the multimodal readouts to predict transcription factor binding events in cis-regulatory elements, which we then use to infer gene regulatory networks that underpin lineage commitment events. Finally, we show that these models can be used to generate in silico predictions of the effect of transcription factor perturbations. We validate this experimentally by showing that Brachyury is essential for the differentiation of neuromesodermal progenitors to somitic mesoderm fate by priming cis-regulatory elements. The data set can be interactively explored at https://www.bioinformatics.babraham.ac.uk/shiny/shiny_multiome_organogenesis/

developmental biology↗

bioRxiv2021

Pronounced sequence specificity of the TET enzyme catalytic domain guides its cellular function

TET (ten-eleven translocation) enzymes catalyze the oxidation of 5-methylcytosine bases in DNA, thus driving active and passive DNA demethylation. Here, we report that the catalytic cores of mammalian TET enzymes favor CpGs embedded within bHLH and bZIP transcription factor binding sites, with 250-fold preference in vitro. Crystal structures and molecular dynamics calculations show that sequence preference is caused by intra-substrate interactions and CpG flanking sequence indirectly affecting enzyme conformation. TET sequence preferences are physiologically relevant as they explain the rates of DNA demethylation in TET-rescue experiments in culture and in vivo within the zygote and germline. Most and least favorable TET motifs represent DNA sites that are bound by methylation-sensitive immediate-early transcription factors and OCT4, respectively, illuminating TET function in transcriptional responses and pluripotency support. One-Sentence SummaryThe catalytic domains of the enzymes that facilitate passive and drive active DNA demethylation have intrinsic sequence preferences that target DNA demethylation to bHLH and bZIP transcription factor binding sites.

molecular biology↗

bioRxiv2021

Single-Cell Atlas of Common Variable Immunodeficiency reveals germinal center-associated epigenetic dysregulation in B cell responses

Common variable immunodeficiency (CVID), the most prevalent symptomatic primary immunodeficiency, is characterized by impaired terminal B-cell differentiation and defective antibody responses. Incomplete genetic penetrance and a wide range of phenotypic expressivity in CVID suggest the participation of additional pathogenic mechanisms. Monozygotic (MZ) twins discordant for CVID are uniquely valuable for studying the contribution of epigenetics to the disease. We used single-cell epigenomics and transcriptomics to create a cell census of naive-to-memory B cell differentiation in a pair of CVID-discordant MZ twins. Our analysis identifies DNA methylation, chromatin accessibility and transcriptional defects in memory B cells that mirror defective cell-cell communication defects following activation. These findings were validated in a cohort of CVID patients and healthy donors. Our findings provide a comprehensive multi-omics map of alterations in naive-to-memory B-cell transition in CVID and reveal links between the epigenome and immune cell cross-talk. Our resource, publicly available at the Human Cell Atlas, paves the way for future diagnosis and treatments of CVID patients.

immunology↗

bioRxiv2021

The distinct effects of MEK and GSK3 inhibition upon the methylome and transcriptome of mouse embryonic stem cells

Mouse embryonic stem cells (mESCs) were first cultured in vitro in serum-containing medium with leukaemia inhibitory factor, in which they exhibit heterogeneous expression of both pluripotency and some early differentiation markers. Over the last decade, however, it has become commonplace to grow mESCs with inhibitors of MEK and GSK3 signalling, which together elicit a more homogeneously naive state of pluripotency. Whilst 2i/L-cultured mESCs have been shown to be globally hypomethylated, a comprehensive understanding of the distinct effects of these signalling inhibitors upon the DNA methylome is still lacking. Here we carried out whole genome bisulphite and RNA sequencing of mESCs grown with MEK or GSK3 inhibition alone, including different time points and concentrations of MEK inhibitor treatment. This demonstrated that MEK inhibition causes a dose-dependent impairment of maintenance methylation via loss of UHRF1 protein, as well as rapid impairment of de novo methylation. In contrast, GSK3 inhibition triggers impairment of de novo methylation alone, and consequent hypomethylation is enriched at enhancers with a 2i/L-specific chromatin signature and coincides with upregulation of nearby genes. Our study provides detailed insights into the epigenetic and transcriptional impacts of inhibiting MEK or GSK3 signalling in mouse pluripotent cells. HighlightsO_LIMEK inhibition causes dose-dependent impairment of maintenance methylation via loss of UHRF1 protein, as well as impairment of de novo methylation. C_LIO_LIGSK3 inhibition triggers impairment of de novo methylation alone, which results in hypomethylation of enhancers and non-CGI promoters. C_LIO_LIEnhancers that are hypomethylated following GSK3 inhibition are enriched for 2i/L-specific pluripotency factor binding, TET2 and H3K4me1. C_LIO_LIEnhancer hypomethylation coincides with increased expression of nearby and Capture Hi-C linked genes. C_LI

developmental biology↗

bioRxiv2021

Modelling human zygotic genome activation in 8C-like cells in vitro

The remodelling of the epigenome and transcriptome of the fertilised oocyte to establish totipotency in the zygote and developing embryo is one of the most critical processes in mammalian embryogenesis. Zygotic or embryonic genome activation (ZGA, EGA) in the 2-cell embryo in mouse, and the 8-cell embryo in humans, constitutes the first major wave of transcription. Failure to initiate ZGA leads to developmental defects, and contributes to the high attrition rates of human pre-implantation embryos. Due to limitations in cell numbers and experimental tractability, the mechanisms that regulate human embryonic genome activation in the totipotent embryo remain poorly understood. Here we report the discovery of human 8-cell like cells (8CLCs) specifically among naive embryonic stem cells, but not primed pluripotent cells. 8CLCs express ZGA marker genes such as ZSCAN4, LEUTX and DUXA and their transcriptome closely resembles that of the 8-cell human embryo. 8-cell like cells reactivate 8-cell stage specific transposable elements such as HERVL and MLT2A1 and are characterized by upregulation of the DNA methylation regulator DPPA3. 8CLCs show reduced SOX2 protein, and can be identified based on expression of the novel ZGA-associated protein markers TPRX1 and H3.Y in vitro. Overexpression of the transcription factor DUX4. as well as spliceosome inhibition increase ZGA-like transcription and enhance TPRX1+ 8CLCs formation. Excitingly, the in vitro identified 8CLC marker proteins TPRX1 and H3.Y are also expressed in 8-cell human embryos at the time of genome activation and may thus be relevant in vivo. The discovery of 8CLCs provides a unique opportunity to model and manipulate human ZGA-like transcriptional programs in vitro, and might provide critical functional insights into one of the earliest events in human embryogenesis in vivo. HighlightsO_LIZGA markers and transposable elements are expressed in 8CLCs among naive human stem cells C_LIO_LIThe transcription factor DUX4 and spliceosome inhibition induce ZGA-like transcription C_LIO_LI8CLC marker proteins TPRX1 and H3.Y are expressed in nuclei of 8-cell human embryos C_LIO_LI8CLCs serve as a novel in vitro model for human ZGA C_LI

molecular biology↗

bioRxiv2021

Connectome-based model predicts individual psychopathic traits in college students

BackgroundPsychopathic traits have been suggested to increase the risk of violations of socio-moral norms. Previous studies revealed that abnormal neural signatures are associated with elevated psychopathic traits; however, whether the intrinsic network architecture can predict psychopathic traits at the individual level remains unclear. MethodsThe present study utilized connectome-based predictive modeling (CPM) to investigate whether whole-brain resting-state functional connectivity (RSFC) can predict psychopathic traits in the general population. RS functional magnetic resonance imaging data were collected from 84 college students with varying psychopathic traits measured by the Levenson Self-Report Psychopathy Scale (LSRP). ResultsWe found that RSFC of the negative networks predicted individual differences in total LSRP and secondary psychopathy scores but not primary psychopathy score. Particularly, nodes with the most connections in the predictive connectome anchored in the prefrontal cortex (e.g., anterior prefrontal cortex and orbitofrontal cortex) and limbic system (e.g., anterior cingulate cortex and insula). In addition, the connections between the occipital network (OCCN) and cingulo-opercular network (CON) served as a significant predictive connectome for total LSRP and secondary psychopathy score. ConclusionCPM constituted by whole-brain RSFC significantly predicted psychopathic traits individually in the general population. The prefrontal cortex and limbic system at the anatomic level and the CON and OCCN at the functional network level plays a special role in the predictive model--reflecting atypical executive control and affective processing for individuals with elevated psychopathic traits. These findings may provide some implications for early detection and potential intervention of psychopathic tendency.

neuroscience↗

bioRxiv2021

Altered effective connectivity from the posterior insula to the amygdala mediates the relationship between psychopathic traits and concern with the Harm foundation

Psychopathic traits have been demonstrated to be associated with different types of morality; however, the neuropsychological mechanism underlying the relationship between psychopathic traits and morality remains unclear. Our study examined the effective connectivity (EC) of psychopathic traits-related brain regions and its association to concern with different moral foundations by combining behavioral measures with resting-state fMRI. We administered the Levenson Self-Report Psychopathy Scale (LSRP) and Moral Foundation Questionnaire (MFQ) to 78 college students after resting-state fMRI scanning. Our results showed that total and primary psychopathic traits score predicted concern with the Harm foundation. The EC from the posterior insula to the amygdala was negatively correlated with psychopathic traits and positively with concern with the Harm foundation. Altered posterior insula-amygdala EC partially mediated the relationship between psychopathic traits and concern with the Harm foundation. Our findings indicated that individuals with elevated psychopathic traits may have atypical processes in recognizing and integrating bodily state information into emotional responses, leading to less concern for harm-related morality. The study deepened our understanding of the neuropsychological mechanism underlying the relationship between psychopathic traits and morality and may have implications for the prevention of higher psychopathic traits individuals from committing serious transgressions.

neuroscience↗

bioRxiv2021

Light at the end of the tunnel: FRAP assay reveals that plant vacuoles start as a tubular network

Plant vacuoles play key roles in cellular homeostasis performing catabolic and storage functions, regulating pH and ion balance. The essential role of vacuoles for plant cell viability makes them a notoriously difficult subject to study impeding reaching the consensus on the mechanism of vacuolar establishment and the source of membrane material for it. Our previous suggestion of endoplasmic reticulum being the main membrane contributor for the tubular network of young vacuoles was recently challenged in a study proposing that young plant vacuoles comprise a set of individual vesicles that are formed de novo via homotypic fusion of multivesicular bodies (MVBs). To resolve these seemingly contradictory observations we have carefully revaluated both hypotheses. Here we provide a systematic overview of successive vacuolar biogenesis stages in Arabidopsis root, starting from the youngest cells proximate to the quiescent center. We validate our previous conclusions by demonstrating that the vacuolar dye BCECF is fully suitable for studying the organelles morphology and provide 3D models of vacuoles at all developmental stages. Furthermore, we established a customized FRAP assay and proved that even at the earliest stages of biogenesis, vacuoles comprise a connected network. Finally, we summarized the new and pre-existing evidence substantiating that vacuolar structures cannot originate solely from MVBs.

plant biology↗

bioRxiv2021

Stimulation of adaptive gene amplification by origin firing under replication fork constraint

Adaptive mutations can cause drug resistance in cancers and pathogens, and increase the tolerance of agricultural pests and diseases to chemical treatment. When and how adaptive mutations form is often hard to discern, but we have shown that adaptive copy number amplification of the copper resistance gene CUP1 occurs in response to environmental copper due to CUP1 transcriptional activation. Here we dissect the mechanism by which CUP1 transcription in budding yeast stimulates copy number variation (CNV). We show that transcriptionally stimulated CNV requires TREX-2 and Mediator, such that cells lacking TREX-2 or Mediator respond normally to copper but cannot acquire increased resistance. Mediator and TREX-2 cause replication stress by tethering transcribed loci to nuclear pores, a process known as gene gating, and transcription at the CUP1 locus causes a TREX-2-dependent accumulation of replication forks indicative of replication fork stalling. TREX-2-dependent CUP1 gene amplification occurs by a Rad52 and Rad51-mediated homologous recombination mechanism that is enhanced by histone H3K56 acetylation and repressed by Pol32, factors known to alter the frequency of template switching during break induced replication (BIR). CUP1 amplification is also critically dependent on late firing replication origins present in the CUP1 repeats, and mutations that remove or inactivate these origins strongly suppress the acquisition of copper resistance. We propose that replicative stress imposed by nuclear pore association causes replication bubbles from these origins to collapse soon after firing, leaving an epigenetic scar of H3K56 acetylation that promotes template switching during later break induced replication events. The capacity for inefficient replication origins to promote copy number variation renders certain genomic regions more fragile than others, and therefore more likely to undergo adaptive evolution through de novo gene amplification.

molecular biology↗

bioRxiv2021

Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates

Recent breakthroughs in single-cell genomics allow probing molecular states of cells with unprecedented detail along the sequence of the DNA. Biological function relies, however, on emergent processes in the three-dimensional space of the nucleus, such as droplet formation through phase separation. Here, we use single-cell multi-omics sequencing to develop a theoretical framework to rigorously map epigenome profiling along the DNA sequence onto a description of the emergent spatial dynamics in the nucleus. Drawing on scNMT-seq multi-omics sequencing in vitro and in vivo we exemplify our approach in the context of exit from pluripotency and global de novo methylation of the genome. We show how DNA methylation patterns of the embryonic genome are established through the interplay between spatially correlated DNA methylation and topological changes to the DNA. This feedback leads to the predicted formation of 30-40nm sized condensates of methylated DNA and determines genome-scale DNA methylation rates. We verify these findings with orthogonal single cell multi-omics data that combine the methylome with HiC measurements. Notably, this scale of chromatin organization has recently been described by super-resolution microscopy. Using this framework, we identify local methylation correlations in gene bodies that precede transcriptional changes at the exit from pluripotency. Our work provides a general framework of how mechanistic insights into emergent processes underlying cell fate decisions can be gained by the combination of single-cell multi-omics and methods from theoretical physics that have not been applied in the context of genomics before. HighlightsO_LIWe develop methodology to infer collective spatio-temporal processes in the physical space of the nucleus from single-cell methylome sequencing experiments. C_LIO_LIWe show that DNA methylation relies on a feedback between de novo methylation and nanoscale changes in DNA topology, leading to the formation of methylation condensates. C_LIO_LIChromatin condensates at this scale have recently been described by high-resolution microscopy but have remained without mechanistic explanation. C_LIO_LIUsing this framework, we identify changes in the distribution of DNA methylation marks in gene bodies that precede gene silencing at the exit from pluripotency. C_LI

genomics↗

bioRxiv2020

Histone modifications form a cell-type-specific chromosomal bar code that modulates and maintains patterns of gene expression through the cell cycle

BackgroundChromatin configuration influences gene expression in eukaryotes at multiple levels, from individual nucleosomes to chromatin domains several Mb long. Post-translational modifications (PTM) of core histones seem to be involved in chromatin structural transitions, but how remains unclear. To explore this, we used ChIP-seq and two cell types, HeLa and lymphoblastoid (LCL) to define how changes in chromatin packaging through the cell cycle influence the distributions of three transcription-associated histone modifications, H3K9ac, H3K4me3 and H3K27me3. ResultsChromosome regions (bands) of 10-50Mb, detectable by immunofluorescence microscopy of metaphase (M) chromosomes, are also present in G1 and G2. We show that they comprise 1-5Mb sub-bands that differ between HeLa and LCL but remain consistent through the cell cycle. The same sub-bands are defined by H3K9ac and H3K4me3, while H3K27me3 spreads more widely. We found little change between cell cycle phases, whether compared by 5Kb rolling windows or when analysis was restricted to functional elements such as transcription start sites and topologically associating domains. Only a small number of genes showed cell-cycle related changes: at genes encoding proteins involved in mitosis, H3K9 became highly acetylated in G2M, possibly because of ongoing transcription. ConclusionsModified histone isoforms H3K9ac, H3K4me3 and H3K27me3 exhibit a characteristic genomic distribution at resolutions of 1Mb and below that differs between HeLa and lymphoblastoid cells but remains remarkably consistent through the cell cycle. We suggest that this cell-type-specific chromosomal bar-code is part of a homeostatic mechanism by which cells retain their characteristic gene expression patterns, and hence their identity, through multiple mitoses.

genomics↗

bioRxiv2020

Genome-wide analysis of DNA replication and DNA double strand breaks by TrAEL-seq

Understanding the distribution of sites at which replication forks stall, and the ensuing fork processing events, requires genome-wide methods sensitive to both changes in replication fork structure and the formation of recombinogenic DNA ends. Here we describe Transferase-Activated End Ligation sequencing (TrAEL-seq), a method that captures single stranded DNA 3 ends genome-wide and with base pair resolution. TrAEL-seq labels DNA breaks, and profiles both stalled and processive replication forks in yeast and mammalian cells. Replication forks stalling at defined barriers and expressed genes are detected by TrAEL-seq with exceptional signal-to-noise, most likely through labelling of DNA 3 ends exposed during fork reversal. TrAEL-seq also labels unperturbed processive replication forks to yield maps of replication fork direction similar to those obtained by Okazaki fragment sequencing, however TrAEL-seq is performed on asynchronous populations of wild-type cells without incorporation of labels, cell sorting, or biochemical purification of replication intermediates, rendering TrAEL-seq simpler and more widely applicable than existing replication fork direction profiling methods. The specificity of TrAEL-seq for DNA 3 ends also allows accurate detection of double strand break sites after the initiation of DNA end resection, which we demonstrate by genome-wide mapping of meiotic double strand break hotspots in a dmc1{Delta} mutant. Overall, TrAEL-seq provides a flexible and robust methodology with high sensitivity and resolution for studying DNA replication and repair, which will be of significant use in determining mechanisms of genome instability.

molecular biology↗