Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy ( r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mutations and caloric restriction. We identified specific cytosines with methylation levels that change with age across numerous species. These sites, highly enriched in polycomb repressive complex 2-binding locations, are near genes implicated in mammalian development, cancer, obesity and longevity. Our findings offer new evidence suggesting that aging is evolutionarily conserved and intertwined with developmental processes across all mammals.

Using DNA methylation profiles (n = 15,456) from 348 mammalian species, we constructed phyloepigenetic trees that bear marked similarities to traditional phylogenetic ones. Using unsupervised clustering across all samples, we identified 55 distinct cytosine modules, of which 30 are related to traits such as maximum life span, adult weight, age, sex, and human mortality risk. Maximum life span is associated with methylation levels in HOXL subclass homeobox genes and developmental processes and is potentially regulated by pluripotency transcription factors. The methylation state of some modules responds to perturbations such as caloric restriction, ablation of growth hormone receptors, consumption of high-fat diets, and expression of Yamanaka factors. This study reveals an intertwined evolution of the genome and epigenome that mediates the biological characteristics and traits of different mammalian species.

In mammals, females generally live longer than males. Nevertheless, the mechanisms underpinning sex-dependent longevity are currently unclear. Epigenetic clocks are powerful biological biomarkers capable of precisely estimating chronological age and identifying novel factors influencing the aging rate using only DNA methylation data. In this study, we developed the first epigenetic clock for domesticated sheep (Ovis aries), which can predict chronological age with a median absolute error of 5.1 months. We have discovered that castrated male sheep have a decelerated aging rate compared to intact males, mediated at least in part by the removal of androgens. Furthermore, we identified several androgen-sensitive CpG dinucleotides that become progressively hypomethylated with age in intact males, but remain stable in castrated males and females. Comparable sex-specific methylation differences in MKLN1 also exist in bat skin and a range of mouse tissues that have high androgen receptor expression, indicating that it may drive androgen-dependent hypomethylation in divergent mammalian species. In characterizing these sites, we identify biologically plausible mechanisms explaining how androgens drive male-accelerated aging.

Platelet-derived growth factor-BB (PDGF-BB):PDGF receptor-β (PDGFRβ) signalling in brain pericytes is critical to the development, maintenance and function of a healthy blood-brain barrier (BBB). Furthermore, BBB impairment and pericyte loss in Alzheimer’s disease (AD) is well documented. We found that PDGF-BB:PDGFRβ signalling components were altered in human AD brains, with a marked reduction in vascular PDGFB . We hypothesised that reduced PDGF-BB:PDGFRβ signalling in pericytes may impact on the BBB. We therefore tested the effects of PDGF-BB on primary human brain pericytes in vitro to define pathways related to BBB function. Using pharmacological inhibitors, we dissected distinct aspects of the PDGF-BB response that are controlled by extracellular signal-regulated kinase (ERK) and Akt pathways. PDGF-BB promotes the proliferation of pericytes and protection from apoptosis through ERK signalling. In contrast, PDGF-BB:PDGFRβ signalling through Akt augments pericyte-derived inflammatory secretions. It may therefore be possible to supplement PDGF-BB signalling to stabilise the cerebrovasculature in AD.

Maximum lifespan of a species is the oldest that individuals can survive, reflecting the genetic limit of longevity in an ideal environment. Here we report methylation-based models that accurately predict maximum lifespan (r=0.89), gestational time (r=0.96), and age at sexual maturity (r=0.87), using cytosine methylation patterns collected from over 12,000 samples derived from 192 mammalian species. Our epigenetic maximum lifespan predictor corroborated the extended lifespan in growth hormone receptor knockout mice and rapamycin treated mice. Across dog breeds, epigenetic maximum lifespan correlates positively with breed lifespan but negatively with breed size. Lifespan-related cytosines are located in transcriptional regulatory regions, such as bivalent chromatin promoters and polycomb-repressed regions, which were hypomethylated in long-lived species. The epigenetic estimators of maximum lifespan and other life history traits will be useful for characterizing understudied species and for identifying interventions that extend lifespan.

Huntington's disease (HD) is a neurodegenerative disorder caused by a CAG trinucleotide repeat expansion in exon 1 of the huntingtin gene. Emerging evidence shows that additional epigenetic factors can modify disease phenotypes. Harnessing the ability of the epigenome to modify the disease for therapeutic purposes is therefore of interest. Epigenome modifiers, such as histone deacetylase inhibitors (HDACi), have improved pathology in a range of HD models. Yet in clinical trials, HDACi have failed to alleviate HD symptoms in patients. This study investigated potential reasons for the lack of translation of the therapeutic benefits of HDACi from lab to clinic. We analysed histone acetylation patterns of immuno-positive nuclei from brain sections and tissue microarrays from post-mortem human control and HD cases alongside several well-established HD models (OVT73 transgenic HD sheep, YAC128 mice, and an in vitro cell model expressing 97Q mutant huntingtin). Significant increases in histone H4 acetylation were observed in post-mortem HD cases, OVT73 transgenic HD sheep and in vitro models; these changes were absent in YAC128 mice. In addition, nuclear labelling for acetyl-histone H4 levels were inversely proportional to mutant huntingtin aggregate load in HD human cortex. Our data raise concerns regarding the utility of HDACi for the treatment of HD when regions of pathology exhibit already elevated histone acetylation patterns and emphasize the importance of searching for alternative epigenetic targets in future therapeutic strategies aiming to rescue HD phenotypes.

Although Huntington’s disease (HD) is a well studied Mendelian genetic disorder, less is known about its associated epigenetic changes. Here, we characterize DNA methylation levels in six different tissues from 3 species: a mouse huntingtin (Htt) gene knock-in model, a transgenic HTT sheep model, and humans. Our epigenome-wide association study (EWAS) of human blood reveals that HD mutation status is significantly ( p < 10 −7 ) associated with 33 CpG sites, including the HTT gene ( p = 6.5 × 10 −26 ). These Htt/HTT associations were replicated in the Q175 Htt knock-in mouse model ( p = 6.0 × 10 −8 ) and in the transgenic sheep model ( p = 2.4 × 10 −88 ). We define a measure of HD motor score progression among manifest HD cases based on multiple clinical assessments. EWAS of motor progression in manifest HD cases exhibits significant ( p < 10 −7 ) associations with methylation levels at three loci: near PEX14 ( p = 9.3 × 10 −9 ), GRIK4 ( p = 3.0 × 10 −8 ), and COX4I2 ( p = 6.5 × 10 −8 ). We conclude that HD is accompanied by profound changes of DNA methylation levels in three mammalian species.

Background: Microglia play critical roles in the brain during homeostasis and pathological conditions. Understanding the molecular events underpinning microglial functions and activation states will further enable us to target these cells for the treatment of neurological disorders. The transcription factor PU.1 is critical in the development of myeloid cells and a major regulator of microglial gene expression. In the brain, PU.1 is specifically expressed in microglia and recent evidence from genome-wide association studies suggests that reductions in PU.1 contribute to a delayed onset of Alzheimer's disease (AD), possibly through limiting neuroinflammatory responses. Methods: To investigate how PU.1 contributes to immune activation in human microglia, microarray analysis was performed on primary human mixed glial cultures subjected to siRNA-mediated knockdown of PU.1. Microarray hits were confirmed by qRT-PCR and immunocytochemistry in both mixed glial cultures and isolated microglia following PU.1 knockdown. To identify attenuators of PU.1 expression in microglia, high throughput drug screening was undertaken using a compound library containing FDA-approved drugs. NanoString and immunohistochemistry was utilised to investigate the expression of PU.1 itself and PU.1-regulated mediators in primary human brain tissue derived from neurologically normal and clinically and pathologically confirmed cases of AD. Results: Bioinformatic analysis of gene expression upon PU.1 silencing in mixed glial cultures revealed a network of modified AD-associated microglial genes involved in the innate and adaptive immune systems, particularly those involved in antigen presentation and phagocytosis. These gene changes were confirmed using isolated microglial cultures. Utilising high throughput screening of FDA-approved compounds in mixed glial cultures we identified the histone deacetylase inhibitor vorinostat as an effective attenuator of PU.1 expression in human microglia. Further characterisation of vorinostat in isolated microglial cultures revealed gene and protein changes partially recapitulating those seen following siRNA-mediated PU.1 knockdown. Lastly, we demonstrate that several of these PU.1-regulated genes are expressed by microglia in the human AD brain in situ. Conclusions: Collectively, these results suggest that attenuating PU.1 may be a valid therapeutic approach to limit microglial-mediated inflammatory responses in AD and demonstrate utility of vorinostat for this purpose.

Several dyes are currently available for use in detecting differentiation of mesenchymal cells into adipocytes. Dyes, such as Oil Red O, are cheap, easy to use and widely utilized by laboratories analyzing the adipogenic potential of mesenchymal cells. However, they are not specific to changes in gene transcription. We have developed a gene-specific differentiation assay to analyze when a mesenchymal cell has switched its fate to an adipogenic lineage. Immuno-labelling against fatty acid binding protein-4 (FABP4), a lineage-specific marker of adipogenic differentiation, enabled visualization and quantification of differentiated cells. The ability to quantify adipogenic differentiation potential of mesenchymal cells in a 96 well microplate format has promising implications for a number of applications. Hundreds of clinical trials involve the use of adult mesenchymal stromal cells and it is currently difficult to correlate therapeutic outcomes within and especially between such clinical trials. This simple high-throughput FABP4 assay provides a quantitative assay for assessing the differentiation potential of patient-derived cells and is a robust tool for comparing different isolation and expansion methods. This is particularly important given the increasing recognition of the heterogeneity of the cells being administered to patients in mesenchymal cell products. The assay also has potential utility in high throughput drug screening, particularly in obesity and pre-diabetes research.

Substantial progress has been made in identifying Alzheimer's disease (AD) risk-associated variants using genome-wide association studies (GWAS). The majority of these risk variants reside in noncoding regions of the genome making their functional evaluation difficult; however, they also infer the presence of unconventional regulatory regions that may reside at these locations. We know from these studies that rare familial cases of AD account for less than 5% of all AD cases and autosomal dominant mutations in APP, PSEN1 and PSEN2 account for less than 10% of the genetic basis of these familial cases [1]. The sporadic form of AD, while more complex, still has a substantial genetic component evidenced by observational studies where 30-48% of AD patients have a first degree relative who is also affected [2]. In addition, the strongest risk factor after age is the APOE E4 polymorphism, and more than 20 other risk variants have been identified to date, reviewed in two recent papers [3, 4]. Monozygotic twin studies have revealed a discordance for AD, implicating that a combination of epigenetic and genetic factors are likely involved in the development of AD [5].

Histone acetylation is an epigenetic modification that plays a critical role in chromatin remodelling and transcriptional regulation. There is increasing evidence that epigenetic modifications may become compromised in aging and increase susceptibility to the development of neurodegenerative disorders such as Alzheimer's disease. Immunohistochemical labelling of free-floating sections from the inferior temporal gyrus (Alzheimer's disease, n = 14; control, n = 17) and paraffin-embedded tissue microarrays containing tissue from the middle temporal gyrus (Alzheimer's disease, n = 29; control, n = 28) demonstrated that acetyl histone H3 and acetyl histone H4 levels, as well as total histone H3 and total histone H4 protein levels, were significantly increased in post-mortem Alzheimer's disease brain tissue compared to age- and sex-matched neurologically normal control brain tissue. Changes in acetyl histone levels were proportional to changes in total histone levels. The increase in acetyl histone H3 and H4 was observed in Neuronal N immunopositive pyramidal neurons in Alzheimer's disease brain. Using immunolabelling, histone markers correlated significantly with the level of glial fibrillary acidic protein and HLA-DP, -DQ and -DR immunopositive cells and with the pathological hallmarks of Alzheimer's disease (hyperphosphorylated tau load and β-amyloid plaques). Given that histone acetylation changes were correlated with changes in total histone protein, it was important to evaluate if protein degradation pathways may be compromised in Alzheimer's disease. Consequently, significant positive correlations were also found between ubiquitin load and histone modifications. The relationship between histone acetylation and ubiquitin levels was further investigated in an in vitro model of SK-N-SH cells treated with the proteasome inhibitor Mg132 and the histone deacetylase inhibitor valproic acid. In this model, compromised protein degradation caused by Mg132 lead to elevated histone labelling. In addition, valproic acid worked synergistically with Mg132 in elevating ubiquitin load and causing cell death. These findings highlight important pathological relationships linking a compromise in protein turnover with the histone changes observed in Alzheimer's disease post-mortem human brain.

Background: Tissue microarrays are commonly used to evaluate disease pathology however methods to automate and quantify pathological changes are limited.New method: This article demonstrates the utility of the VSlide scanner (MetaSystems) for automated image acquisition from immunolabelled tissue microarray slides, and subsequent automated image analysis with MetaXpress (Molecular Devices) software to obtain objective, efficient and reproducible data from immunolabelled tissue microarray sections.Results: Significant increases in fibrinogen immunolabelling were observed in 29 Alzheimer's disease cases compared to 28 control cases analysed from a single tissue microarray slide. Western blot analysis also demonstrated significant increases in fibrinogen immunolabelling in 6 Alzheimer's cases compared to 6 control cases. The observed changes were also validated with gold standard blinded manual H-scoring.Comparison with existing method: VSlide Metafer software offers a 'tissue microarray acquisition' plugin for easy mapping of tissue cores with their original position on the tissue microarray map. High resolution VSlide images are compatible with MetaXpress image analysis software. This article details the coupling of these two technologies to accurately and reproducibly analyse immunolabelled tissue microarrays within minutes, compared to the gold standard method of manual counting using H-scores which is significantly slower and prone to inter-observer variation.Conclusions: Here, we couple brain tissue microarray technology with high-content screening and automated image analysis as a powerful way to address bottle necks in data generation and improve throughput, as well as sensitivity to study biological/pathological changes in brain disease. (C) 2015 Elsevier B.V. All rights reserved.

The human brain is an amazing organ. Encased in the protection of the skull and bathing in the cerebrospinal fluid, the spongy 1.5kg mass of brain tissue is the most complex organ in the human body. The brain is responsible for the unconscious control of the internal organs, sensory perception, movement, consciousness, thought and reasoning, memory and personality. The brain is integral in everything from our existence and normal functioning through to the creative and intellectual thought that enables humans to work and interact in such diverse and marvellous ways.

There is increasing demand for automated image analysis of cell nuclei to be fast, objective and informative. Here, we have developed a high content analysis method for quantifying histone acetylation within any given population of cells. To demonstrate the utility of this method we quantified the effect of valproic acid (VPA) on histone H3 acetylation levels in SK-N-SH cells, a human neuroblastomal cell line. VPA, commonly used for treatment of bipolar disorder and epilepsy, has also been shown to act as a histone deacetylase inhibitor (HDACi), and to maintain the N-terminals of susceptible histones in an acetylated and transcriptionally active state. The Discovery-1™ (Molecular Devices) platform was used for automated image acquisition of immunolabelled cells. Multiple parameters of labelled nuclei were analysed in 1.82 s per image using the built-in count nuclei assay from MetaMorph™ (Molecular Devices) image analysis software. Data were presented in two forms: summary graphs or heterogeneity profiles using frequency distributions within GraphPad Prism (SmartDrawNet). Results showed that VPA increased histone H3 acetylation in a concentration- and time-dependent manner in SK-N-SH cells. The same analysis was shown to accurately quantify histone acetylation changes in human tissue sections also. Trichostatin A, a known HDACi was used to validate VPA action. Western blotting was used to validate the specificity of the antibodies. Overall these data demonstrate that this novel method for quantifying average treatment effects and the heterogeneity within any given population of cells, is fast, reproducible and can be applied to many different cellular contexts (immunocyto- and immunohisto-chemistry).

Epigenetics is a rapidly growing field and holds great promise for a range of human diseases, including brain disorders such as Rett syndrome, anxiety and depressive disorders, schizophrenia, Alzheimer disease and Huntington disease. This review is concerned with the pharmacology of epigenetics to treat disorders of the epigenome whether induced developmentally or manifested/acquired later in life. In particular, we will focus on brain disorders and their treatment by drugs that modify the epigenome. While the use of DNA methyl transferase inhibitors and histone deacetylase inhibitors in in vitro and in vivo models have demonstrated improvements in disease-related deficits, clinical trials in humans have been less promising. We will address recent advances in our understanding of the complexity of the epigenome with its many molecular players, and discuss evidence for a compromised epigenome in the context of an ageing or diseased brain. We will also draw on examples of species differences that may exist between humans and model systems, emphasizing the need for more robust pre-clinical testing. Finally, we will discuss fundamental issues to be considered in study design when targeting the epigenome.

Mutant protein aggregates are an important biomarker in Huntington's and other neurodegenerative diseases however their quantification has typically relied on manual imaging and counting, or cell-free assays, which do not allow for concurrent analysis of cell viability. Here we describe four automated high throughput image analysis methods, developed using Metamorph™ software, to quantify mutant huntingtin aggregates in a cellular context. Imaging of aggregate-forming cells was also automated, using a Discovery-1™ automated fluorescence microscope. All four analysis methods measured aggregate formation accurately in relation to manual counting, but with differing throughput. Our in-house PolyQ assay gave the highest throughput, processing images at 0.31 s per image. The Cell Scoring assay gave lower throughput, at 19.5 s per image, but offered accurate quantification of the proportion of cells which formed aggregates, without bias from cell death. These image analysis tools provide rapid and objective alternatives to manual counting in studies of aggregate formation, to facilitate the discovery of drugs to treat Huntington's and related neurodegenerative diseases.

1. Receptor transport between intracellular compartments has important consequences for receptor function and is an exciting area of current study. Existing methods for studying receptor trafficking often require labour-intensive techniques or are difficult to quantify reliably. We report a novel high-throughput method that uses automated imaging and analysis tools to accurately quantify cannabinoid CB1 receptor trafficking. 2. Haemagglutinin (HA)-tagged CB1 was stably expressed in HEK-293 cells and cell surface or total receptors were detected immunocytochemically. Images of receptor and nuclear staining were acquired with an automated fluorescent microscope (Discovery-1; Molecular Devices, Sunnyvale, CA, USA) and quantified at high throughput with MetaMorph (Molecular Devices) software. The 'Granularity' assay measured internalization by counting receptor clusters that appear during receptor endocytosis, a well-established approach. Our assay, referred to as 'Total Grey Value per Cell' (TGVC), measures the total fluorescence above background, normalized to cell count. 3. Incubation with the cannabinoid agonist HU-210 (100 nmol/L) resulted in rapid CB1 internalization, reaching a maximum within 20 min. Whether quantified by Granularity or TGVC, the time-course of endocytosis could be modelled with exponentially derived curves and with similar half-lives. We demonstrate the sensitivity of our TGVC method by measuring the concentration dependence of CB1 internalization and its versatility by measuring downregulation following chronic agonist exposure, whereby total CB1 was reduced to approximately 55% of basal after 3 h. 4. The TGVC quantification method described is efficient, accurate and versatile and is likely to provide a valuable tool in receptor trafficking studies.