Biology subjects

Levine, M.

Publications and source records attributed to Levine, M..

At least 19 recordsLinked to original sources

bioRxiv2026

A bifunctional RNase H protein supports DNA replication and transcription in nucleus-forming Chimalliviridae phages

Jumbo bacteriophages of the Chimalliviridae family replicate their genomes within a proteinaceous phage nucleus that spatially segregates viral DNA replication and transcription from translation. While the phage nucleus protects viral DNA from host defenses, it also imposes unique constraints on genome replication and gene expression. Here we identify the phage-encoded protein Rhc (RNase H-clamp) as a central mediator of genome transactions within the phage nucleus. Using the Escherichia coli infecting bacteriophage Goslar, we show that Rhc functions as an essential component of a non-canonical three-subunit DNA polymerase complex composed of DNAPN, DNAPC and Rhc. Rhc physically interacts with the DNAPC subunit, and both the catalytic activity of Rhc's N-terminal RNase H domain and its C-terminal sliding clamp-derived DNA binding domain are required for genome replication, nuclear maturation, and productive infection. Further, Goslar Rhc also supports transcription within the phage nucleus through a function that is separable from its DNA replication function. Rhc depletion results in reduced transcription of a subset of late genes, in a pattern that suggests a role for Rhc in resolving R-loops. Imaging and cryo-electron tomography reveal that loss of Rhc arrests phage development at a nascent nuclear stage, uncoupling nuclear assembly from maturation. Together, these findings identify Rhc as a multifunctional nuclear factor that mediates both DNA replication and transcription in nucleus-forming jumbo phages, revealing how viruses repurpose a conserved enzymatic activity to coordinate gene expression within a compartmentalized replication environment.

cell biology↗

bioRxiv2026

Allele-Resolved Hybrid Embryos Reveal the Fates of Regulatory Divergence

Developmental programs can remain conserved despite extensive regulatory divergence, but how evolved regulatory differences are transmitted through embryonic lineages remains unclear. Here we generate a time resolved, allele resolved single-cell atlas of hybrid embryogenesis between Ciona intestinalis and Ciona savignyi, enabling regulatory differences accumulated between species to be followed across defined developmental lineages. We find that allelic differences are maintained or remodeled in lineage specific ways, with their outcomes associated with regulatory origin and allele specific chromatin accessibility. Across multiple tissues, allelic divergence increases along gene regulatory network (GRN) hierarchy from upstream regulators toward downstream regulators and effector genes. In the cardiopharyngeal lineage, Foxf illustrates how allelic dominance provides partial compensation for highly divergent regulatory sequences and thereby contributes to developmental system drift. Together, our results reveal that regulatory divergence is dynamically sorted during development according to lineage context and GRN hierarchy. This lineage resolved framework provides a developmental basis for understanding how extensive regulatory evolution can accumulate while conserved embryonic programs are maintained.

developmental biology↗

bioRxiv2026

Temporal Gatekeeping Role of Lmx1 during chordate neural tube morphogenesis

Neural tube closure is a critical developmental process, essential to the proper formation of the vertebrate nervous system. This process starts with the invagination of neural plate cells. Its borders then converge, leading to the closure of the neural tube, propagating like a zipper. Afterwards, cell intercalation and proliferation allow the tube to elongate. Neural tube closure involves thousands of cells in vertebrates. However, the closest invertebrates to vertebrates, the tunicates, such as Ciona, close a hollow dorsal neural tube with fewer than 20 neural cells. This minimal model makes it easier to study the mechanisms of this intricated process. In Ciona, the transcription factor Lmx1 is expressed in the most dorsal cells of the developing neural tube, like its vertebrate orthologs. In vertebrates, Lmx1 paralogs are involved in neural tube patterning. However, no function related to morphogenesis has been uncovered. Here, we explore Ciona Lmx1 roles during neural tube closure. Lmx1 Knockdown leads to slight but significant defects in neural tube closure. The overexpression of a repressive Lmx1 variant prevents the proper intercalation of the dorsal neural tube cells, impeding the anterior progression of the zipper. Furthermore, studies of Lmx1 regulatory sequences indicate that Pax3/7, ZicL, and Nodal signaling may directly regulate its transcription. These transcription factors are present at the vertebrate neural plate border, suggesting that Lmx1 regulation is conserved across chordates. It raises the possibility of an unrecognized role for Lmx1 during vertebrate neural tube morphogenesis. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=187 SRC="FIGDIR/small/709676v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@f409b1org.highwire.dtl.DTLVardef@1a88180org.highwire.dtl.DTLVardef@1ce2a89org.highwire.dtl.DTLVardef@4aba89_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

bioRxiv2026

Loop Extrusion Accelerates Long-Range Enhancer-Promoter Searches in Living Embryos

Long-range gene regulation underlies a variety of human developmental disorders including Cornelia de Lange syndrome1 and polydactyly2. Cohesin-mediated loop extrusion and tether-like elements are two major mechanisms implicated in fostering long-range enhancer-promoter (E-P) contacts3. However, our understanding of the contributions of these mechanisms to the kinetics of E-P interactions is limited. Here we employ a combination of quantitative single-cell imaging, genetic manipulations and polymer simulations to examine the interplay of cohesin-mediated loop extrusion and tethering elements4,5 in the timely activation of gene expression in living Drosophila embryos. Depletion of NIPBL or deletion of an enhancer-proximal CTCF anchor element reduced expression without changing the duration of individual transcriptional bursts. Genetic epistasis experiments recapitulated polymer simulations predicting complementation of tether deletions by augmenting the stability of cohesin via reduced levels of WAPL6. We propose a "scan and snag" model whereby directional cohesin-driven enhancer scanning promotes diffusion-mediated tethering interactions to produce successful E-P contacts and transcriptional activation. We discuss how modulating cohesin stability and the "stickiness" of looping factors7-10 can fine-tune the levels and timing of gene expression in mammalian developmental and disease processes.

molecular biology↗

bioRxiv2025

Cell Numbers Contribute to Cell Fate During Ciona Cardiopharyngeal Mesoderm Specification

The Ciona heart cell lineage can be accurately traced back to a pair of blastomeres, the B7.5 cells, that form at the 64-cell stage. In addition to the adult heart, the B7.5 cells also contribute to two tail muscle cells in the larva, as well as the muscles that form the siphons for pumping water for feeding. Because of the simplicity of this system, we have a good understanding of how the B7.5 derivatives are specified during development. However, we know less about how the Ciona embryo precisely regulates cell numbers, as well as what effects altering cell numbers will have on development. We found that cell numbers in the B7.5 lineage are controlled by a pulse of transcription of the cell cycle inhibitor Cdkn1.b. Cdkn1.b can be repressed by the paralogues Prdm1-r.a and Prdm1-r.b that are exclusively transcribed in the B7.5 cells at the 110-cell stage. We unexpectedly found that precocious arrest of cell division in the B7.5 cell lineage resulted in a reversion to tail muscle fate, even in cells that can migrate. Our work demonstrates an unexpected connection between the control of cell numbers and cell fate in development. Significance StatementThe control of cell numbers is essential to many developmental processes, but it has been relatively understudied. A clear example of this can be seen in heart development. Hearts develop from precursor cells called cardiopharyngeal mesoderm. These cells must be able to migrate and proliferate in a precise way or heart defects will occur. We took advantage of the simplicity of embryonic development in the chordate Ciona (an invertebrate closely related to vertebrates) to investigate the consequences of disrupting cell numbers on heart development. Our finding that an early arrest in cell division results in a failure of heart development has implications for similar processes in vertebrates, including humans.

developmental biology↗

bioRxiv2025

Comprehensive Single Molecule View of Transcriptional Dynamics in Development

Dynamic patterns of gene expression drive animal development. These transcriptional dynamics depend on the interplay of diverse developmental enhancers within complex regulatory landscapes. Here, we employ a single-molecule genomic method, Fiber-Seq, to capture the simultaneous transcriptional and regulatory states of millions of 20-30 kb chromatin fibers in the 2-4hr Drosophila embryo. These snapshots of genes and their surrounding regulatory context reveal that the basic unit of transcription at highly transcribed genes is a convoy of 2-14 tightly spaced polymerases (Pol II). Further, a subset of templates exhibits hyperbursting, whereby most or all nucleosomes are evicted from the gene body facilitating maximum rates of transcription. We demonstrate that hyperbursting is achieved through cooperation of numerous cis-regulatory elements, and that the resulting nucleosome eviction appears to trigger a novel silencer in the ftz 3 UTR. We anticipate that similar mechanisms are used by vertebrate processes requiring intense transcription like somitogenesis and erythropoiesis.

developmental biology↗

bioRxiv2024

Pharmacological Ascorbate Induces Transient Hypoxia Sensitizing Pancreatic Ductal Adenocarcinoma to a Hypoxia Activated Prodrug

Hypoxic tumor microenvironments pose a significant challenge in cancer treatment. Hypoxia-activated prodrugs like evofosfamide aim to specifically target and eliminate these resistant cells. However, their effectiveness is often limited by reoxygenation after cell death. We hypothesized that ascorbates pro-oxidant properties could be harnessed to induce transient hypoxia, enhancing the efficacy of evofosfamide by overcoming reoxygenation. To test this hypothesis, we investigated the sensitivity of MIA Paca-2 and A549 cancer cells to ascorbate in vitro and in vivo. Ascorbate induced a cytotoxic effect at 5 mM that could be alleviated by endogenous administration of catalase, suggesting a role for hydrogen peroxide in its cytotoxic mechanism. In vitro, Seahorse experiments indicated generation of hydrogen peroxide consumes oxygen, which is offset at later time points by a reduction in oxygen consumption due to hydrogen peroxides cytotoxic effect. In vivo, photoacoustic imaging showed ascorbate treatment at sublethal levels triggered a complex, multi-phasic response in tumor oxygenation across both cell lines. Initially, ascorbate generated transient hypoxia within minutes through hydrogen peroxide production, via reactions that consume oxygen. This initial hypoxic phase peaked at around 150 seconds and then gradually subsided. However, at longer time scales (approximately 300 seconds) a vasodilation effect triggered by ascorbate resulted in increased blood flow and subsequent reoxygenation. Combining sublethal levels of ascorbate with evofosfamide significantly prolonged tumor doubling time in MIA Paca-2 and A549b xenografts compared to either treatment alone. This improvement, however, was only observed in a subpopulation of tumors, highlighting the complexity of the oxygenation response.

cancer biology↗

bioRxiv2023

Stochastic Epigenetic Mutations: Reliable Detection and Cardiovascular Associations

Stochastic Epigenetic Mutations (SEMs) have been proposed as novel aging biomarkers that have the potential to capture heterogeneity in age-related DNA methylation (DNAme) changes. SEMs are defined as outlier methylation patterns at cytosine-guanine dinucleotide (CpG) sites, categorized as hypermethylated (hyperSEM) or hypomethylated (hypoSEM) relative to a reference. While individual SEMs are rarely consistent across subjects, the SEM load - the total number of SEMs - increases with age. However, given poor technical reliability of measurement for many DNA methylation sites, we posited that many outliers might represent technical noise. Our study of whole blood samples from 36 individuals, each measured twice, found that 23.3% of hypoSEM and 45.6% hyperSEM are not shared between replicates. This diminishes the reliability of SEM loads, where intraclass correlation coefficients are 0.96 for hypoSEM and 0.90 for hyperSEM. We linked SEM reliability to multiple factors, including blood cell type composition, probe beta-value statistics, and presence of SNPs. A machine learning approach, leveraging these factors, filtered unreliable SEMs, enhancing reliability in a separate dataset of technical replicates from 128 individuals. Analysis of the Framingham Heart Study confirmed previously reported SEM association with mortality and revealed novel connections to cardiovascular disease. We discover that associations with aging outcomes are primarily driven by hypoSEMs at baseline methylated probes and hyperSEMs at baseline unmethylated probes, which are the same subsets that demonstrate highest technical reliability. These aging associations are preserved after filtering out unreliable SEMs and are enhanced after adjusting for blood cell composition. Finally, we utilize these insights to formulate best practices for SEM detection and introduce a novel R package, SEMdetectR, which utilizes parallel programming for efficient SEM detection with comprehensive options for detection, filtering, and analysis.

bioinformatics↗

bioRxiv2023

Chromosome Structure I: Loop extrusion or boundary:boundary pairing?

Two different models have been proposed to explain how the endpoints of chromatin looped domains ("TADs") in eukaryotic chromosomes are determined. In the first, a cohesin complex extrudes a loop until it encounters a boundary element roadblock, generating a stem-loop. In this model, boundaries are functionally autonomous: they have an intrinsic ability to halt the movement of incoming cohesin complexes that is independent of the properties of neighboring boundaries. In the second, loops are generated by boundary:boundary pairing. In this model, boundaries are functionally non-autonomous, and their ability to form a loop depends upon how well they match with their neighbors. Moreover, unlike the loop-extrusion model, pairing interactions can generate both stem-loops and circle-loops. We have used a combination of MicroC to analyze how TADs are organized, and experimental manipulations of the even skipped TAD boundary, homie, to test the predictions of the "loop-extrusion" and the "boundary-pairing" models. Our findings are incompatible with the loop-extrusion model and instead suggest that the endpoints of TADs in flies are determined by a mechanism in which boundary elements physically pair with their partners, either head-to-head or head-to-tail, with varying degrees of specificity. Although our experiments do not address how partners find each other, the mechanism is unlikely to require loop extrusion.

genetics↗

bioRxiv2023

Principles of Computation by Competitive Protein Dimerization Networks

Many biological signaling pathways employ proteins that competitively dimerize in diverse combinations. These dimerization networks can perform biochemical computations, in which the concentrations of monomers (inputs) determine the concentrations of dimers (outputs). Despite their prevalence, little is known about the range of input-output computations that dimerization networks can perform (their "expressivity") and how it depends on network size and connectivity. Using a systematic computational approach, we demonstrate that even small dimerization networks (3-6 monomers) are expressive, performing diverse multi-input computations. Further, dimerization networks are versatile, performing different computations when their protein components are expressed at different levels, such as in different cell types. Remarkably, individual networks with random interaction affinities, when large enough ([≥]8 proteins), can perform nearly all ([~]90%) potential one-input network computations merely by tuning their monomer expression levels. Thus, even the simple process of competitive dimerization provides a powerful architecture for multi-input, cell-type-specific signal processing. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/564854v2_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1917f39org.highwire.dtl.DTLVardef@13795bcorg.highwire.dtl.DTLVardef@47913eorg.highwire.dtl.DTLVardef@90bd30_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗

bioRxiv2023

The genomic landscape, causes, and consequences of extensive phylogenomic discordance in Old World mice and rats

A species tree is a central concept in evolutionary biology whereby a single branching phylogeny reflects relationships among species. However, the phylogenies of different genomic regions often differ from the species tree. Although tree discordance is often widespread in phylogenomic studies, we still lack a clear understanding of how variation in phylogenetic patterns is shaped by genome biology or the extent to which discordance may compromise comparative studies. We characterized patterns of phylogenomic discordance across the murine rodents (Old World mice and rats) - a large and ecologically diverse group that gave rise to the mouse and rat model systems. Combining new linked-read genome assemblies for seven murine species with eleven published rodent genomes, we first used ultra-conserved elements (UCEs) to infer a robust species tree. We then used whole genomes to examine finer-scale patterns of discordance and found that phylogenies built from proximate chromosomal regions had similar phylogenies. However, there was no relationship between tree similarity and local recombination rates in house mice, suggesting that genetic linkage influences phylogenetic patterns over deeper timescales. This signal may be independent of contemporary recombination landscapes. We also detected a strong influence of linked selection whereby purifying selection at UCEs led to less discordance, while genes experiencing positive selection showed more discordant and variable phylogenetic signals. Finally, we show that assuming a single species tree can result in high error rates when testing for positive selection under different models. Collectively, our results highlight the complex relationship between phylogenetic inference and genome biology and underscore how failure to account for this complexity can mislead comparative genomic studies.

evolutionary biology↗

bioRxiv2023

Systems Age: A single blood methylation test to quantify aging heterogeneity across 11 physiological systems

Individuals, organs, tissues, and cells age in diverse ways throughout the lifespan. Epigenetic clocks attempt to quantify differential aging between individuals, but they typically summarize aging as a single measure, ignoring within-person heterogeneity. Our aim was to develop novel systems-based methylation clocks that, when assessed in blood, capture aging in distinct physiological systems. We combined supervised and unsupervised machine learning methods to link DNA methylation, system-specific clinical chemistry and functional measures, and mortality risk. This yielded a panel of 11 system-specific scores- Heart, Lung, Kidney, Liver, Brain, Immune, Inflammatory, Blood, Musculoskeletal, Hormone, and Metabolic. Each system score predicted a wide variety of outcomes, aging phenotypes, and conditions specific to the respective system. We also combined the system scores into a composite Systems Age clock that is predictive of aging across physiological systems in an unbiased manner. Finally, we showed that the system scores clustered individuals into unique aging subtypes that had different patterns of age-related disease and decline. Overall, our biological systems based epigenetic framework captures aging in multiple physiological systems using a single blood draw and assay and may inform the development of more personalized clinical approaches for improving age-related quality of life.

systems biology↗

bioRxiv2023

Subclonal somatic copy number alterations emerge and dominate in recurrent osteosarcoma

Multiple large-scale tumor genomic profiling efforts have been undertaken in osteosarcoma, however, little is known about the spatial and temporal intratumor heterogeneity and how it may drive treatment resistance. We performed whole-genome sequencing of 37 tumor samples from eight patients with relapsed or refractory osteosarcoma. Each patient had at least one sample from a primary site and a metastatic or relapse site. We identified subclonal copy number alterations in all but one patient. We observed that in five patients, a subclonal copy number clone from the primary tumor emerged and dominated at subsequent relapses. MYC gain/amplification was enriched in the treatment-resistant clone in 6 out of 7 patients with more than one clone. Amplifications in other potential driver genes, such as CCNE1, RAD21, VEGFA, and IGF1R, were also observed in the resistant copy number clones. Our study sheds light on intratumor heterogeneity and the potential drivers of treatment resistance in osteosarcoma. SignificanceSubclonal copy number clones emerged and dominated in relapsed osteosarcoma, with MYC gain/amplification being the defining characteristic in our cohort. Selective pressure from neoadjuvant chemotherapy revealed this clone at the time of primary resection, highlighting that genomic profiling at this time may identify clones that are selected for, or determine innate resistance to primary chemotherapy.

cancer biology↗

bioRxiv2022

The insulating activity of the Drosophila BX-C chromatin boundary Fub-1 is parasegmentally regulated by lncRNA read-through

Though long non-coding RNAs (lncRNAs) represent a substantial fraction of the Pol II transcripts in multicellular animals, only a few have known functions. Here we report that the blocking activity of the Bithorax complex (BX-C) Fub-1 boundary is segmentally regulated by its own lncRNA. The Fub-1 boundary is located between the Ultrabithorax (Ubx) gene and the bxd/pbx regulatory domain, which is responsible for regulating Ubx expression in parasegment PS6/segment A1. Fub-1 consists of two hypersensitive sites, HS1 and HS2. HS1 is an insulator while HS2 functions primarily as a lncRNA promoter. To activate Ubx expression in PS6/A1 enhancers in the bxd/pbx domain must be able to bypass Fub-1 blocking activity. We show that expression of the Fub-1 lncRNAs in PS6/A1 from the HS2 promoter inactivates Fub-1 insulating activity. Inactivation is due to readthrough as the HS2 promoter must be directed towards HS1 to disrupt blocking.

molecular biology↗

bioRxiv2022

An FGF Timer for Zygotic Genome Activation

Zygotic genome activation has been extensively studied in a variety of systems including flies, frogs, and mammals. However, there is comparatively little known about the precise timings of gene induction during the earliest phases of embryogenesis. Here we employ high-resolution in situ detection methods, along with genetic and experimental manipulations, to study the timing of zygotic activation in the simple model chordate, Ciona intestinalis with minute-scale temporal precision. We found that two Prdm1 homologs in Ciona are the earliest genes that respond to FGF signaling. We present evidence for a FGF timing mechanism that is driven by derepression of the ERF repressor by ERK activity, which works in concert with localized activators such as Foxa.a. Absence of ERF results in derepression of target genes throughout the embryo. A highlight of this timer is the sharp transition in FGF responsiveness between the 8- and 16-cell stages of development. We propose that this timer is an innovation of chordates that is also employed by other vertebrates.

developmental biology↗

bioRxiv2022

Cereblon controls the timing of muscle differentiation in Ciona embryos

Thalidomide has a dark history as a teratogen, but in recent years it has been shown to function as a chemotherapeutic agent. Thalidomide binds cereblon, a component of E3 ubiquitin ligase complex and modifies its degradation targets. Despite these insights, remarkably little is known about the normal function of cereblon in development. Here, we employ the simple proto-vertebrate model, Ciona intestinalis, to address this question. We observed a "hotspot" of Crbn expression in the developing tail muscles and identify its enhancer containing both Myod activator sites and a Snail repressive element. Overexpression of Crbn in tail muscles decreases expression of contractility genes. We suggest that this reduction is due to premature degradation of Tbx6. Drug inhibition studies using lenalidomide, a derivative of thalidomide, lead to a striking increase of Crbn expression. This autofeedback regulation could be induced by neomorphic degradation of Snail, contributing to the efficacy of lenalidomide in treating metastatic melanoma. In summary, our analysis of Crbn suggests that its normal function in Ciona is to time expression of contractility genes during muscle differentiation thereby ensuring coordination of tail morphogenesis and hatching of swimming tadpoles.

developmental biology↗

bioRxiv2022

R methylCIPHER: A Methylation Clock Investigational Package for Hypothesis-Driven Evaluation & Research

BackgroundEpigenetic clocks are promising tools for the study of aging in humans. The clocks quantify biological aging above and beyond chronological age, demonstrate systematic associations with risk factors that accelerate aging, and predict age-related morbidity and mortality. There is interest in using them as surrogate endpoints in intervention studies. However, the large number of clocks, decentralized publication and explosive popularity in the last decade has made for poor accessibility and standardization. This has hampered the abilities of new researchers to conduct truly hypothesis driven research--whether by not knowing about the best available clocks for a given question, or by systematically testing many or all as they become available. ResultsWe report a centralized R package which can be installed and run locally on the users machine, and provides a standardized syntax for epigenetic clock calculation. The package includes a set of helper functions to assist with navigating clock literature and selecting clocks for analysis, as well as affording the user with the details of clock calculation. We describe each clocks resilience to missing CpG information, combined with functionality to assess the need for imputation in the users own data. Furthermore, we demonstrate that while CpGs may not be shared among clocks with similar outputs, many clocks have highly correlated outputs. ConclusionsDue to the previous decentralization of epigenetic clocks, gathering code and performing systematic analysis, particularly in protected datasets, has required significant information gathering effort. Here, we offer an R package with standardized implementation and potential for future growth and clock incorporation to assist with hypothesis driven investigation of aging as measured by epigenetic clocks. We show the potential of this package to drive the user to think globally about signals captured by epigenetic clocks, as well as to properly identify the potential and limitations of each clock in their current research.

bioinformatics↗

bioRxiv2022

Chronic Glucocorticoid Stress Reveals Increased Energy Expenditure and Accelerated Aging as Cellular Features of Allostatic Load

Stress triggers anticipatory physiological responses that promote survival, a phenomenon termed allostasis. However, the chronic activation of energy-dependent allostatic responses results in allostatic load, a dysregulated state that predicts functional decline, accelerates aging, and increases mortality in humans. The energetic cost and cellular basis for the damaging effects of allostatic load have not been defined. Here, by longitudinally profiling three unrelated primary human fibroblast lines across their lifespan, we find that chronic glucocorticoid exposure increases cellular energy expenditure by [~]60%, along with a metabolic shift from glycolysis to mitochondrial oxidative phosphorylation (OxPhos). This state of stress-induced hypermetabolism is linked to mtDNA instability, non-linearly affects age-related cytokines secretion, and accelerates cellular aging based on DNA methylation clocks, telomere shortening rate, and reduced lifespan. Pharmacologically normalizing OxPhos activity while further increasing energy expenditure exacerbates the accelerated aging phenotype, pointing to total energy expenditure as a potential driver of aging dynamics. Together, our findings define bioenergetic and multi-omic recalibrations of stress adaptation, underscoring increased energy expenditure and accelerated cellular aging as interrelated features of cellular allostatic load.

cell biology↗