Biology subjects

Corcoran, D.

Publications and source records attributed to Corcoran, D..

15 recordsLinked to original sources

bioRxiv2026

Cancer cell adaptations along a proliferation-robustness axis drive TME pro-tumor phenotypes

Tumors are highly complex dynamic ecosystems with causal relationships between cancer cells and their tumor microenvironment (TME). To disentangle these interactions, we performed long-term co-culture experiments with cancer cells evolving alongside continuously replenished fibroblasts or macrophages. This allowed us to distinguish between adaptive and physiological responses in specific cancer-TME interactions, which we then also recapitulated in patient tumors. We found that co-culture with fibroblasts induced the epithelial-mesenchymal transition in cancer cells and resulted in their increased drug tolerance, while co-culture with macrophages promoted stress, hypoxia responses and enhanced tumorigenicity. Adaptations were recurrent and partially reversible, but could not be explained by clonal selection, suggesting a dynamic non-mutational process. Moreover, adapted cancer cells elicited cell state changes in the fibroblasts and macrophages consistent with an extended phenotype mode of cancer evolution. Our findings reframe cancer-TME interactions by a systematic dissection according to sets of specific adaptations and programmed responses.

cancer biology↗

bioRxiv2025

In toto imaging of germ plasm dynamics reveals an essential role for early distribution of germ granules in germline development

A fundamental question in developmental biology is how the fertilized egg gives rise to all the different cell types of an organism. The traditional view is that the different cell types are specified either by intrinsic factors such as cell fate determinants or via intercellular signaling. In some animals a cytoplasmic determinant-like substance called germplasm specifies the germline. In zebrafish eggs, germplasm is dispersed in form of mRNP complexes called germ granules, which are enriched at the animal pole. After fertilization the distribution of germ granules changes dramatically. The germ granules accumulate in the corners of the first two cleavage furrows of the embryo, to form four large masses that are essential for germline development. Although germ granule movement has been linked to the network dynamics of the microtubular and actin cytoskeleton, a clear mechanistic understanding of the process is currently lacking. Fundamental questions about germplasm dynamics, including "What is the main driving force?" have not been answered yet. To address this gap, we performed careful quantitative analysis of germ granule dynamics relative to dynamic cytoskeletal reorganization in early zebrafish embryos by live-imaging. We identified stereotypic signatures of germ granule dynamics across different regions of the early embryo. Interestingly, we find that the timing of large-scale germ granule movements contrasts prevailing models for the mechanism of germ granule aggregation during cleavage divisions, and rather points to cytokinetic apparatus itself. Using zebrafish mutants affecting the RNA-binding protein Ybx1 (Y-box binding-protein 1), we show that the timing and dynamics of germ granule accumulation in the blastodisc is a crucial factor for appropriate later aggregation into cleavage furrows and eventual distribution to PGCs. Germplasm accumulation in the cleavage furrows is reduced and ectopic aggregates form at the blastoderm margin of ybx1 mutant embryos. Our work establishes Ybx1 as a novel factor with crucial functions in germplasm distribution and suggests that additional factors drive normal germplasm dynamics.

developmental biology↗

bioRxiv2024

Mutant IDH uncouples p53 from target gene regulation to disable tumor suppression

p53 prevents tumor initiation and progression via transcriptional regulation of target gene networks. Here, we find that cancer-associated mutations in isocitrate dehydrogenase (IDH) can uncouple p53 activity from tumor suppression by perturbing chromatin states that determine target gene expression. Mutant IDH impairs tumor regressions and promotes the outgrowth of cancer cells with transcriptionally active, wild-type p53 in a mouse model of liver cancer where restoration of p53 activity results in tumor clearance. Mutant IDH alters p53 target gene expression through the oncometabolite 2-hydroxyglutarate (2-HG), an inhibitor of alpha-ketoglutarate (KG)-dependent chromatin remodeling enzymes, without preventing p53 accumulation or global genomic binding. Rather, mutant IDH alters chromatin accessibility landscapes that dictate target gene expression, resulting in disabled upregulation of targets that execute tumor suppression. Specifically, mutant IDH disrupts the expression of pro-apoptotic p53 targets that enable p53-dependent tumor regressions, including the death ligand receptor Fas. Pharmacological inhibition of mutant IDH in TP53 wild-type cholangiocarcinoma cells, a tumor type where p53 and IDH mutations are mutually exclusive, potentiates p53 target gene expression and sensitizes cells to Fas ligand and chemotherapy-induced apoptosis. Therefore, we implicate the disruption of p53 target gene regulation as a reversible, oncogenic feature of cancer-associated IDH mutations. SIGNIFICANCEWe find that chromatin states altered by cancer-associated IDH mutations intersect with transcriptional regulation of p53 target genes. This reversible interaction may represent a strategy to reinvigorate latent tumor suppression in IDH mutant, p53 wild-type tumors.

cancer biology↗

bioRxiv2023

An Aging-Susceptible Circadian Rhythm Controls Cutaneous Antiviral Immunity

Aged skin is prone to viral infections, but the mechanisms responsible for this immunosenescent immune risk are unclear. We observed that aged murine and human skin expressed reduced antiviral proteins (AVPs) and circadian regulators including Bmal1 and Clock. Bmal1 and Clock were found to control rhythmic AVP expression in skin and such circadian-control of AVPs was diminished by disruption of immune cell interleukin 27 signaling and deletion of Bmal1/Clock genes in mouse skins, as well as siRNA-mediated knockdown of CLOCK in human primary keratinocytes. We found that treatment of circadian enhancing agents, nobiletin and SR8278, reduced infection of herpes simplex virus 1 (HSV1) in epidermal explants and human keratinocytes in a Bmal1/Clock-dependent manner. Circadian enhancing treatment also reversed susceptibility of aging murine skin and human primary keratinocytes to viral infection. These findings reveal an evolutionarily conserved and age-sensitive circadian regulation of cutaneous antiviral immunity, underscoring circadian restoration as an antiviral strategy in aging populations.

immunology↗

bioRxiv2023

p53 and RB Cooperate to Suppress Transposable Elements

Accumulating data suggest that the long interspersed nuclear element 1 (LINE1), a major class of transposable elements, can promote tumorigenesis by causing deletions of tumor suppressor genes, amplifications of oncogenes, and chromosomal translocations(1). LINE1 and other transposable elements such as short interspersed nuclear elements (SINEs) can be activated during cancer development. Aberrant transposon expression has been correlated with loss of p53, however, how the loss of p53 or other tumor suppressors leads to activation of transposons during tumorigenesis remains to be fully understood. Here, we investigate the link between loss of the p53 and RB tumor suppressors and derepression of transposable elements. We observe that loss of p53 and RB in mouse embryonic fibroblasts leads to epigenetic changes, such as loss of DNA and histone methylation, which correlate with marked upregulation of LINE and SINE transposable elements. These results suggest that p53 and RB may utilize epigenetic mechanisms that work in tandem to suppress transposons, which may contribute to tumor suppression. SignificanceThe two most commonly mutated genes in human cancer are p53 and the retinoblastoma (RB) tumor suppressors. Together, these genes regulate complex interconnecting pathways responsible for the regulation of cell growth, cell death, and genomic integrity. Studies in genetically engineered mouse models demonstrate that the canonical functions of these two tumor suppressors fail to fully explain their tumor suppressive capabilities. Individually, p53 and RB have each been implicated in repressing transposons. Here we show that combined loss of p53 and RB, which rapidly transforms cells, also results in cooperative upregulation of transposable elements and coincides with decreased methylation of DNA and H3K9. Our results present a framework by which p53 and RB work together to restrain the expression of LINE1 and SINEs, which may contribute to tumor suppression.

cancer biology↗

bioRxiv2022

Aging and Obesity Prime the Methylome and Transcriptome of Adipose Stem Cells for Disease and Dysfunction

The epigenome of stem cells occupies a critical interface between genes and environment, serving to regulate expression through modification by intrinsic and extrinsic factors. We hypothesized that aging and obesity, which represent major risk factors for a variety of diseases, synergistically modify the epigenome of adult adipose stem cells (ASCs). Using integrated RNA- and targeted bisulfite-sequencing in murine ASCs from lean and obese mice at 5- and 12- months of age, we identified global DNA hypomethylation with either aging or obesity, and a synergistic effect of aging combined with obesity. The transcriptome of ASCs in lean mice was relatively stable to the effects of age, but this was not true in obese mice. Functional pathway analyses identified a subset of genes with critical roles in progenitors and in diseases of obesity and aging. Specifically, Mapt, Nr3c2, App, and Ctnnb1 emerged as potential hypomethylated upstream regulators in both aging and obesity (AL vs YL and AO vs YO), and App, Ctnnb1, Hipk2, Id2, and Tp53 exhibited additional effects of aging in obese animals. Further, Foxo3 and Ccnd1 were potential hypermethylated upstream regulators of healthy aging (AL vs YL), and of the effects of obesity in young animals (YO vs YL), suggesting that these factors could play a role in accelerated aging with obesity. Finally, we identified candidate driver genes that appeared recurrently in all analyses and comparisons undertaken. Further mechanistic studies are needed to validate the roles of these genes capable of priming ASCs for dysfunction in aging- and obesity-associated pathologies.

cell biology↗

bioRxiv2022

Structural insights into AT-rich DNA recognition by SALL family proteins

Spalt-like 4 (SALL4) plays an essential role in controlling the pluripotent property of embryonic stem cells (ESCs) via binding to AT-rich regions of genomic DNA. Here we present crystal structures of the the zinc finger cluster 4 (ZFC4) domain of SALL4 (SALL4ZFC4) bound with different double stranded DNAs containing a conserved AT-rich motif. In the structures, two zinc fingers of SALL4ZFC4 coordinatively recognize an AATA tetranucleotide. We also solved the DNA-bound structures of SALL3ZFC4 and SALL4ZFC1. These structures illuminate a common recognition mode for AT-rich DNA by the SALL family proteins. The DNA binding activity is essential for SALL4 function as DNA-binding defective mutants of mouse Sall4 failed to repress aberrant gene expression in Sall4-/- mESCs. Thus, these analyses provide new insights into the mechanisms of action underlying SALL family in controlling cell fate via preferentially targeted to AT-rich sites within genomic DNAs during cell differentiation.

biochemistry↗

bioRxiv2022

A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator

The field of epigenomics holds great promise in understanding and treating disease with advances in machine learning (ML) and artificial intelligence being vitally important in this pursuit. Increasingly, research now utilises DNA methylation measures at cytosine-guanine dinucleotides (CpG) to detect disease and estimate biological traits such as aging. Given the high dimensionality of DNA methylation data, feature-selection techniques are commonly employed to reduce dimensionality and identify the most important subset of features. In this study, we test and compare a range of feature-selection methods and ML algorithms in the development of a novel DNA methylation-based telomere length (TL) estimator. We found that principal component analysis in advance of elastic net regression led to the overall best performing estimator when evaluated using a nested cross-validation analysis and two independent test cohorts. In contrast, the baseline model of elastic net regression with no prior feature reduction stage performed worst - suggesting a prior feature-selection stage may have important utility. The variance in performance across tested approaches shows that estimators are sensitive to data set heterogeneity and the development of an optimal DNA methylation-based estimator should benefit from the robust methodological approach used in this study. Additionally, we observed that different DNA methylation-based TL estimators, which have few common CpGs, are associated with many of the same biological entities. Moreover, our methodology which utilises a range of feature-selection approaches and ML algorithms could be applied to other biological markers and disease phenotypes, to examine their relationship with DNA methylation and predictive value.

bioinformatics↗

bioRxiv2022

Single-Cell Analysis Identifies Distinct Immune and Smooth Muscle Cell Populations that Contribute to Chronic Thromboembolic Pulmonary Hypertension

Chronic thromboembolic pulmonary hypertension (CTEPH) is a sequelae of acute pulmonary embolism (PE) in which the PE remodels into a chronic scar in the pulmonary arteries. This results in vascular obstruction, small vessel arteriopathy and pulmonary hypertension. Our current understanding of CTEPH pathobiology is primarily derived from cell-based studies limited by the use of specific cell markers or phenotypic modulation in cell culture. Here we used single cell RNA sequencing (scRNAseq) of tissue removed at the time of pulmonary thromboendarterectomy (PTE) surgery to identify the multiple cell types, including macrophages, T cells, and smooth muscle cells, that comprise CTEPH thrombus. Notably, multiple macrophage subclusters were identified but broadly split into two categories, with the larger group characterized by an upregulation of inflammatory signaling predicted to promote pulmonary vascular remodeling. Both CD4+ and CD8+ T cells were identified and likely contribute to chronic inflammation in CTEPH. Smooth muscle cells were a heterogeneous population, with a cluster of myofibroblasts that express markers of fibrosis and are predicted to arise from other smooth muscle cell clusters based on pseudotime analysis. Additionally, cultured endothelial, smooth muscle and myofibroblast cells isolated from CTEPH thrombus have distinct phenotypes from control cells with regards to angiogenic potential and rates of proliferation and apoptosis. Lastly, our analysis identified protease-activated receptor 1 (PAR1) as a potential therapeutic target that links thrombosis to chronic PE in CTEPH, with PAR1 inhibition decreasing smooth muscle cell and myofibroblast proliferation and migration. These findings suggest a model for CTEPH similar to atherosclerosis, with chronic inflammation promoted by macrophages and T cells driving vascular remodeling through smooth muscle cell modulation, and suggest new approaches for pharmacologically targeting this disease.

pathology↗

bioRxiv2020

Alteration of coastal productivity and artisanal fisheries interact to affect a marine food-web

Top-down and bottom-up forces determine ecosystem function and dynamics. Fisheries as a top-down force can shorten and destabilize food-webs, while climate-change driven effects can alter the bottom-up forces of primary productivity. We assessed the response of a highly-resolved intertidal food-web to these two global-change drivers, using network analysis and bioenergetic modelling. We quantified the relative importance of artisanal fisheries as another predator species, and evaluated the independent and combined effects of fisheries and plankton-productivity changes on food-web dynamics. The food-web was robust to the loss of all harvested species but sensible to plankton-productivity decline. Interestingly, fisheries dampened the negative impacts of decreasing plankton productivity on non-harvested species, while plankton-productivity decline increased the sensitivity of harvested species to fishing. Our results show that strategies for new scenarios caused by climate change are needed to protect marine ecosystems and the wellbeing of local communities dependent on their resources.

ecology↗

bioRxiv2020

NetworkExtinction: an R package to explore the propagation of extinctions through complex ecological networks

O_LIEarths biosphere is currently undergoing drastic reorganisation as a consequence of the sixth mass extinction brought on by the Anthropocene. Impacts of local and regional extirpation of species have been demonstrated to propagate through the complex interaction networks they are part of, subsequently leading to secondary extinctions, exacerbating biodiversity loss. Contemporary ecological theory has developed several measures to analyse the structure and robustness of ecological networks under biodiversity loss. However, a toolbox for direct simulation and quantification of extinction cascades and the creation of novel interactions (i.e. rewiring) remains absent. C_LIO_LIHere, we present NetworkExtinction - a novel R package which we have developed to explore the propagation of species extinctions sequences through ecological networks as well as quantify the effects of rewiring potential in response to primary species extinctions. With NetworkExtinction we have integrated ecological theory and computational simulations to develop functionality with which users may analyze and visualize the structure and robustness of ecological networks. The core functions introduced with NetworkExtinction focus on simulations of sequential primary extinctions and associated secondary extinctions while allowing for user-specified secondary extinction thresholds and realisation of rewiring potential. C_LIO_LIWith the package NetworkExtinction, users can estimate the robustness of ecological networks after performing species extinction routines based on several algorithms. Moreover, users can compare the number of simulated secondary extinctions against a null model of random extinctions. In-built visualizations enable graphing topological indices calculated by the deletion sequence functions after each simulation step. Finally, the user can define the degree distribution of the network by fitting different common distributions. Here, we illustrate the use of the package and its outputs by analyzing a Chilean coastal marine food web. C_LIO_LINetworkExtinction is a compact and easy-to-use R package with which users can quantify changes in ecological network structure in response to different patterns of species loss, thresholds, and rewiring potential. Therefore, this package is particularly useful to evaluate ecosystem responses to anthropogenic and environmental perturbations that produce non-random species extinctions. C_LI

ecology↗

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

A Precision Medicine Approach to Stress Testing Using Metabolomics and MicroRibonucleic Acids

BackgroundAcute coronary syndrome (ACS) is a growing global health problem, and precision medicine techniques hold promise for the development of diagnostic indicators of ACS. In this pilot, we sought to assess the utility of an integrated analysis of metabolomic and microRNA data in peripheral blood to distinguish patients with abnormal cardiac stress testing from matched controls. MethodsWe used prospectively collected samples from emergency department (ED) patients placed in an ED-based observation unit who underwent stress testing for ACS. We isolated microRNA and quantified metabolites from plasma collected before and after stress testing in patients with myocardial ischemia on stress testing versus those with normal stress tests. The combined metabolomic and microRNA data were analyzed jointly for case (ischemia) and 1:1 matched control patients in a supervised, dimension-reducing discriminant analysis. Two integrative models were implemented: a baseline model utilizing data collected prior to stress-testing (T0) and a stress-delta model, which included the difference between post-stress test (T1) and pre-stress test (T0). ResultsSeven case patients with myocardial ischemia on ED cardiac stress testing (6 females, 85% Caucasian, mean Thrombolysis In Myocardial Infarction Score=3, 4 patients ultimately received percutaneous coronary intervention) were 1:1 age and sex-matched to controls. Several metabolites and microRNAs were differentially expressed between cases and controls. Integrative analysis of the baseline levels of metabolites and microRNA expression showed modest performance for distinguishing cases from controls with an overall error rate of 0.143. The stress-delta model showed worse performance for distinguishing cases from controls, with an overall error rate of 0.500. ConclusionsGiven our small sample size, results are hypothesis-generating. However, this pilot study shows a potential method for a precision medicine approach to cardiac stress testing in patients undergoing workup for ACS.

physiology↗

bioRxiv2020

Investigating the Genetic Architecture of Non-Cognitive Skills Using GWAS-by-Subtraction

Educational attainment (EA) is influenced by cognitive abilities and by other characteristics and traits. However little is known about the genetic architecture of these "non-cognitive" contributions to EA. Here, we use Genomic Structural Equation Modelling and results of prior genome-wide association studies (GWASs) of EA (N = 1,131,881) and cognitive test performance (N = 257,841) to estimate SNP associations with variation in EA that is independent of cognitive ability. We identified 157 genome-wide significant loci and a polygenic architecture accounting for 57% of genetic variance in EA. Phenotypic and biological annotation revealed that (1) both cognitive and non-cognitive contributions to EA were genetically correlated with socioeconomic success and longevity; and (2) non-cognitive contributions to EA were related to personality, decision making, risk-behavior, and increased risk for psychiatric disorders; (3) non-cognitive and cognitive contributions to EA were enriched in the same tissues and cell types, but (4) showed different associations with gray-matter neuroimaging phenotypes.

genetics↗

bioRxiv2018

Genetics & the Geography of Health, Behavior, and Attainment

Peoples life chances can be predicted by their neighborhoods. This observation is driving efforts to improve lives by changing neighborhoods. Some neighborhood effects may be causal, supporting neighborhood-level interventions. Other neighborhood effects may reflect selection of families with different characteristics into different neighborhoods, supporting interventions that target families/individuals directly. To test how selection affects different neighborhood-linked problems, we linked neighborhood data with genetic, health, and social-outcome data for >7,000 European-descent UK and US young people in the E-Risk and Add Health Studies. We tested selection/concentration of genetic risks for obesity, schizophrenia, teen-pregnancy, and poor educational outcomes in high-risk neighborhoods, including genetic analysis of neighborhood mobility. Findings argue against genetic selection/concentration as an explanation for neighborhood gradients in obesity and mental-health problems, suggesting neighborhoods may be causal. In contrast, modest genetic selection/concentration was evident for teen-pregnancy and poor educational outcomes, suggesting neighborhood effects for these outcomes should be interpreted with care.

genetics↗