Biology subjects

Mills, R.

Publications and source records attributed to Mills, R..

16 recordsLinked to original sources

bioRxiv2026

Serotonin reuptake inhibition rapidly enhances affect-reward coupling and improves mood over time

Selective serotonin reuptake inhibitors (SSRIs) are widely prescribed antidepressants, yet the mechanisms linking their rapid neurobiological effects to more gradual improvements in mood remain unclear. Computational accounts in which mood reflects the integration of reward outcome and reward prediction errors (RPEs) offer a compelling framework for examining SSRI effects, but reliance on laboratory tasks poses a major translational gap, both in timescale and ecological validity. We address this gap by examining the impact of SSRIs on affect-reward dynamics over a clinically relevant timescale using real-world rewards. Across 11 days, 66 healthy participants (n=37 receiving the SSRI citalopram) completed repeated ecological momentary assessments (EMA) of mood and goal-directed activities (up to 8 per day, totaling 3,542 surveys). By probing anticipated reward (pre-activity) and consummatory reward (post-activity), we derived real-world RPEs to test whether SSRIs amplify RPE impacts on momentary mood. Mixed-effects modelling showed that citalopram rapidly amplified the impact of reward outcome and RPEs on momentary mood, and predicted later increases in positive mood. Citalopram also selectively attenuated the impact of negative mood on expectations for future reward. These findings suggest that SSRIs modulate the bidirectional coupling between mood and reward processes in daily life, consistent with a positive feedback loop that could underpin the gradual mood improvement observed for antidepressant treatment. More broadly, our results highlight the utility of EMA as a highly sensitive real-world assay of early pharmacological effects on mood-reward dynamics.

neuroscience↗

bioRxiv2026

Ageing blunts the phospho-proteomic response to resistance exercise in humans

Ageing blunts the adaptive growth response in human skeletal muscle. To define the molecular processes underlying this impairment, we performed unbiased analysis of the phosphoproteome and total proteome in healthy young and old human skeletal muscle following acute resistance exercise (ResEX) and essential amino acid (EAA) ingestion. Ageing led to global suppression of the growth-induced global phosphoproteome, despite intact mTORC1 activation in old muscle. Our results identify widespread effects of ageing on skeletal muscle growth and highlight novel pathways for therapeutic development in aged skeletal muscle.

physiology↗

bioRxiv2025

Perceiving Instability: How Expectations Bias Sensorimotor Processing in Balance Control

Maintaining balance requires rapid integration of sensory input with top-down sensorimotor predictions. Predictive coding frameworks propose that mismatches between expected and actual sensory input ("prediction errors") drive perceptual inference. Although these frameworks have been highly influential in sensory neuroscience, it remains unclear whether they operate similarly in fast-acting sensorimotor systems such as human balance. Using electroencephalography (EEG) and discrete postural perturbations via support surface translations, we independently manipulated expectations and sensory input. Participants were primed to expect small or large perturbations, with occasional violations in which the delivered perturbation differed from expectation. We found that subjective perception of instability was shaped by expectation alone, regardless of perturbation magnitude. Similarly, pre-perturbation beta-band suppression and post-perturbation gamma activity tracked expected perturbation magnitude, with the latter strongly associated with expectation-induced perceptual biases (r = 0.69, pBON = 0.001). In contrast, both the balance N1 (a well-established stimulus-evoked cortical potential linked to the postural response) and objective behavioural markers of postural instability were determined primarily by perturbation magnitude. Crucially, neither perception nor early neural or behavioural markers appeared to encode prediction errors arising from expectation violations. Together, these findings identify boundary conditions on predictive coding in sensorimotor control, showing that during fast, reactive behaviour, perceptual inference may be shaped more strongly by expectations than by mismatch signals, even as early neural and motor responses remain driven primarily by sensory input. Significance StatementPerception is often explained through predictive coding, a framework in which the brain compares incoming sensory input with internal expectations and updates representations based on mismatches, or prediction errors. However, it remains unclear whether these perceptual inference processes operate similarly in fast, ecologically relevant sensorimotor systems, such as postural control. Our results show that top-down expectations shape perceptual experience and early cortical responses to postural perturbations, even when sensory input contradicts those expectations. Notably, these early neural markers showed limited sensitivity to prediction errors in this rapid, reactive context. Together, these findings identify conditions under which perceptual inference may rely more strongly on expectations than on sensory mismatch, refining predictive coding accounts of fast, reactive behaviour. ClassificationBiological Science (Neuroscience)

neuroscience↗

bioRxiv2025

Alpha Protein Kinase 3 Gene Therapy Restores Heart Function in Mouse and Human Models of Cardiomyopathy

Truncating variants in the Alpha Kinase 3 (ALPK3) gene have recently emerged as an important cause of genetic cardiomyopathy globally and here we demonstrate the efficacy and safety of a viral-based gene replacement therapy for ALPK3. Given the loss-of-function nature of these variants, we reasoned that a gene replacement approach would improve heart function in this patient population. We demonstrate that the delivery of full length ALPK3 via adeno-associated virus could restore contractile function in human cardiac organoids and in vivo mouse models carrying clinically relevant mutations in ALPK3. The role of disrupted proteostasis networks in multiple forms of genetic cardiomyopathy suggest that delivery this novel AAV-ALPK3 may provide functional benefit outside of cardiomyopathy induced by ALPK3. Titin truncating variants (TTNtv) are the most common cause of dilated cardiomyopathy, and interestingly also contributes to the M-Band protein quality control network coordinated by ALPK3. Notably, in human cardiac organoids carrying a TTNtv we observed that the ALPK3 gene therapy could completely restore contractile deficits. This opens the exciting prospect for indication expansion of AAV-ALPK3 into other forms of cardiomyopathy that currently have no therapeutic options.

physiology↗

bioRxiv2025

Application of spatial transcriptomics across organoids: a high-resolution spatial whole-transcriptome benchmarking dataset

Stem cell-derived organoids hold promise to model tissue-specific disease. To enable this, it is crucial to assess how transcriptional signatures, cellular organisation and composition of organoids compare to in vivo counterparts. However, technologies which elucidate regional molecular identity, like spatial transcriptomics, have been challenging to apply to organoids. This study presents the first systematic profiling of multiple stem cell derived organoid models (brain, heart muscle, heart valve, kidney, lung, cartilage, and haematopoietic) with Stereo-seq, a full transcriptome, spatial transcriptomics assay using on-chip in situ RNA capture at subcellular resolution. It describes optimisation of this assay to characterise organoids, use of multiple organoid samples on a single chip, assess differences in RNA capture efficiency compared to reference tissues and its limitations. This study introduces a bespoke analysis method that partitions samples into regions and further characterises them. These findings inform future works to characterise organoids using spatial transcriptomics, providing insights in optimising RNA capture of multiple organoids across a chip and novel methods for regional analysis.

bioinformatics↗

bioRxiv2025

Contextualizing gene expression with feature rich graph neural networks

Variation in gene expression arises from the interplay between chromatin architecture, epigenetic marks, transcription factor binding, and regulatory elements - none alone capture the full complexity of the regulatory landscape. We introduce Omics Graph Learning (OGL), a deep learning paradigm that integrates multi-omics data into a network of biological entities. Leveraging over 950 curated datasets, OGL achieves highly accurate gene expression prediction across 20 cell lines and tissues. Through > 81 million in-silico perturbations, we uncover tissue-specific patterns of feature utilization, reveal non-additive interactions among epigenetic marks, and identify regulatory elements with disproportionate influence on gene expression. Our findings highlight complex synergistic and antagonistic relationships among molecular features that vary by cellular context. By bridging predictive accuracy with biological interpretation, OGL provides a framework for deciphering multifaceted mechanisms that shape the transcriptome.

genomics↗

bioRxiv2024

Maturation of human cardiac organoids are required for disease modelling and drug discovery

Cardiac maturation is an important developmental phase culminating in profound biological and functional changes to adapt to the high demand environment after birth1,2. Maturation of human pluripotent stem cell-derived human cardiac organoids (hCO) to more closely resemble human heart tissue is critical for understanding disease pathology. Herein, we profile human heart maturation in vivo3 to identify key signalling pathways that drive maturation in hCOs4,5. Transient activation of both the 5 AMP-activated kinase (AMPK) and estrogen-related receptor (ERR) promoted hCO maturation by mimicking the increased functional demands of post-natal development. hCOs cultured under these directed maturation (DM) conditions (DM-hCOs) display robust transcriptional maturation including increased expression of mature sarcomeric and oxidative phosphorylation genes resulting in enhanced metabolic capacity. DM-hCOs have functionally mature properties such as sarcoplasmic reticulum-dependent calcium handling, accurate responses to drug treatments perturbing the excitation-coupling process and ability to detect ectopy CASQ2 and RYR2 mutants. Importantly, DM- hCOs permit modelling of complex human disease processes such as desmoplakin (DSP) cardiomyopathy, which is driven by multiple cell types. Subsequently, we deploy DM-hCOs to demonstrate that bromodomain extra-terminal inhibitor INCB054329 rescues the DSP phenotype. Together, this study demonstrates that recapitulating in vivo development promotes advanced maturation enabling disease modelling and the identification of a therapeutic strategy for DSP- cardiomyopathy.

bioengineering↗

bioRxiv2024

Prenylation controls proliferation in human pluripotent stem cell-derived cardiomyocytes

Induction of cardiomyocyte proliferation to replace damaged heart tissue is a promising therapeutic approach. A recent drug screen revealed that cardiomyocytes require the mevalonate pathway for proliferation, although the specific mechanisms are unknown. In this study, we use human pluripotent stem cell-derived cardiomyocytes and cardiac organoids to further interrogate the role of the mevalonate pathway in cardiomyocyte proliferation. Chemical and genetic perturbations of the mevalonate pathway indicated that the post-translational modification, prenylation, regulates cardiomyocyte proliferation. We use prenyl probes and mass spectrometry to identify a catalogue of 40 prenylated proteins in human cardiac cells, including proteins where prenylated function had not yet been investigated. We show that multiple prenylated proteins control cardiomyocyte proliferation including RRAS2 and NAP1L4. We demonstrate that prenylation has differential effects on distinct proteins, with RRAS2 prenylation controlling membrane localization and NAP1L4 prenylation regulating cardiomyocyte mitosis and centrosome homeostasis. Together, these data show that protein prenylation is required for cardiomyocyte proliferation through multiple targets and these processes may need to be re-activated for cardiac regeneration.

cell biology↗

bioRxiv2023

Somatic nuclear mitochondrial DNA insertions are prevalent in the human brain and accumulate in aging fibroblasts

The transfer of mitochondrial DNA into the nuclear genomes of eukaryotes (Numts) has been linked to lifespan in non-human species 1-3 and recently demonstrated to occur in rare instances from one human generation to the next 4. Here we investigated numtogenesis dynamics in humans in two ways. First, we quantified Numts in 1,187 post-mortem brain and blood samples from different individuals. Compared to circulating immune cells (n=389), post-mitotic brain tissue (n=798) contained more Numts, consistent with their potential somatic accumulation. Within brain samples we observed a 5.5-fold enrichment of somatic Numt insertions in the dorsolateral prefrontal cortex compared to cerebellum samples, suggesting that brain Numts arose spontaneously during development or across the lifespan. Moreover, more brain Numts was linked to earlier mortality. The brains of individuals with no cognitive impairment who died at younger ages carried approximately 2 more Numts per decade of life lost than those who lived longer. Second, we tested the dynamic transfer of Numts using a repeated-measures WGS design in a human fibroblast model that recapitulates several molecular hallmarks of aging 5. These longitudinal experiments revealed a gradual accumulation of one Numt every [~]13 days. Numtogenesis was independent of large-scale genomic instability and unlikely driven cell clonality. Targeted pharmacological perturbations including chronic glucocorticoid signaling or impairing mitochondrial oxidative phosphorylation (OxPhos) only modestly increased the rate of numtogenesis, whereas patient-derived SURF1-mutant cells exhibiting mtDNA instability accumulated Numts 4.7- fold faster than healthy donors. Combined, our data document spontaneous numtogenesis in human cells and demonstrate an association between brain cortical somatic Numts and human lifespan. These findings open the possibility that mito-nuclear horizontal gene transfer among human post-mitotic tissues produce functionally-relevant human Numts over timescales shorter than previously assumed.

genomics↗

bioRxiv2022

Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function

Improving muscle function has great potential to improve the quality of life. To identify novel regulators of skeletal muscle metabolism and function, we performed a proteomic analysis of gastrocnemius muscle from 73 genetically distinct inbred mouse strains, and integrated the data with genomics and >300 molecular/phenotypic traits via quantitative trait loci mapping and correlation network analysis. These data identified thousands of associations between protein abundance and phenotypes and can be accessed online (https://muscle.coffeeprot.com/) to identify regulators of muscle function. We used this resource to prioritize targets for a functional genomic screen in human bioengineered skeletal muscle. This identified several negative regulators of muscle function including UFC1, an E2 ligase for protein UFMylation. We show UFMylation is up-regulated in a mouse model of amyotrophic lateral sclerosis, a disease that involves muscle atrophy. Furthermore, in vivo knockdown of UFMylation increased contraction force, implicating its role as a negative regulator of skeletal muscle function.

systems biology↗

bioRxiv2022

HOPX governs a molecular and physiological switch between cardiomyocyte progenitor and maturation gene programs

This study establishes the homeodomain only protein, HOPX, as a determinant controlling the molecular switch between cardiomyocyte progenitor and maturation gene programs. Time-course single-cell gene expression with genome-wide footprinting reveal that HOPX interacts with and controls core cardiac networks by regulating the activity of mutually exclusive developmental gene programs. Upstream hypertrophy and proliferation pathways compete to regulate HOPX transcription. Mitogenic signals override hypertrophic growth signals to suppress HOPX and maintain cardiomyocyte progenitor gene programs. Physiological studies show HOPX directly governs genetic control of cardiomyocyte cell stress responses, electro-mechanical coupling, proliferation, and contractility. We use human genome-wide association studies (GWAS) to show that genetic variation in the HOPX-regulome is significantly associated with complex traits affecting cardiac structure and function. Collectively, this study provides a mechanistic link situating HOPX between competing upstream pathways where HOPX acts as a molecular switch controlling gene regulatory programs underpinning metabolic, signaling, and functional maturation of cardiomyocytes.

developmental biology↗

bioRxiv2022

Multi-omic analysis along the gut-brain axis points to a functional architecture of autism

Autism is a highly heritable neurodevelopmental disorder characterized by heterogeneous cognitive, behavioral and communication impairments. Disruption of the gut-brain axis (GBA) has been implicated in autism, with dozens of cross-sectional microbiome and other omic studies revealing autism-specific profiles along the GBA albeit with little agreement in composition or magnitude. To explore the functional architecture of autism, we developed an age and sex-matched Bayesian differential ranking algorithm that identified autism-specific profiles across 10 cross-sectional microbiome datasets and 15 other omic datasets, including dietary patterns, metabolomics, cytokine profiles, and human brain expression profiles. The analysis uncovered a highly significant, functional architecture along the GBA that encapsulated the overall heterogeneity of autism phenotypes. This architecture was determined by autism-specific amino acid, carbohydrate and lipid metabolism profiles predominantly encoded by microbial species in the genera Prevotella, Enterococcus, Bifidobacterium, and Desulfovibrio, and was mirrored in brain-associated gene expression profiles and restrictive dietary patterns in individuals with autism. Pro-inflammatory cytokine profiling and virome association analysis further supported the existence of an autism-specific architecture associated with particular microbial genera. Re-analysis of a longitudinal intervention study in autism recapitulated the cross-sectional profiles, and showed a strong association between temporal changes in microbiome composition and autism symptoms. Further elucidation of the functional architecture of autism, including of the role the microbiome plays in it, will require deep, multi-omic longitudinal intervention studies on well-defined stratified cohorts to support causal and mechanistic inference.

microbiology↗

bioRxiv2021

Cep55 regulation of PI3K/Akt signaling is required for neocortical development and ciliogenesis

Homozygous nonsense mutations in CEP55 are associated with several congenital malformations that lead to perinatal lethality suggesting that it plays a critical role in regulation of embryonic development. CEP55 has previously been studied as a critical regulator of cytokinesis predominantly in transformed cells and its deregulation is linked to carcinogenesis. However, its molecular functions during embryonic development in mammals have not been clearly defined. We have generated a Cep55 knockout (Cep55-/-) mouse model which demonstrated perinatal lethality associated with a wide range of neural defects. Focusing our analysis on the neocortex, we show that Cep55-/- embryos exhibited depleted neural stem/progenitor cells in the ventricular zone as a result of significantly increased cellular apoptosis. Mechanistically, we demonstrated that Cep55-loss downregulates the pGsk3{beta}/{beta}-Catenin/Myc axis in an Akt-dependent manner. The phenotype was recapitulated using human cerebral organoids and we could rescue the phenotype by inhibiting active Gsk3{beta}. Additionally, we show that Cep55-loss leads to a significant reduction of ciliated cells, highlighting its novel role in regulating ciliogenesis. Collectively, our findings demonstrate a critical role of Cep55 during brain development and provide mechanistic insights that may have important implications for genetic syndromes associated with Cep55-loss.

cell biology↗

bioRxiv2020

Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health

In order to explore opportunities for personalized and predictive health care, we collected serial clinical measurements, health surveys and multiomics profiles (genomics, proteomics, autoantibodies, metabolomics and gut microbiome) from 96 individuals. The participants underwent data-driven health coaching over a 16-month period with continuous digital monitoring of activity and sleep. Multiomics factor analysis resulted in an unsupervised, data-driven and integrated view of human health, revealing distinct and independent molecular factors linked to obesity, diabetes, liver function, cardiovascular disease, inflammation, immunity, exercise, diet and hormonal effects. The data revealed novel and previously uncovered associations between risk factors, molecular pathways, and quantitative lifestyle parameters. For example, ethinyl estradiol use had a distinct impact on metabolites, proteins and physiology. Multidimensional molecular and digital health signatures uncovered biological variability between people and quantitative effects of lifestyle changes, hence illustrating the value of the combined use of molecular and digital monitoring of human health.

systems biology↗

bioRxiv2020

Characterization of nuclear mitochondrial insertions in the whole genomes of primates

The transfer and integration of whole and partial mitochondrial genomes into the nuclear genomes of eukaryotes is an ongoing process that has facilitated the transfer of genes and contributed to the evolution of various cellular pathways. Many previous studies have explored the impact of these insertions, referred to as NumtS, but have focused primarily on older events that have become fixed and are therefore present in all individual genomes for a given species. We previously developed an approach to identify novel Numt polymorphisms from next generation sequence data and applied it to thousands of human genomes. Here, we extend this analysis to 79 individuals of other great ape species including chimpanzee, bonobo, gorilla, orang-utan and also an old world monkey, macaque. We show that recent Numt insertions are prevalent in each species though at different apparent rates, with chimpanzees exhibiting a significant increase in both polymorphic and fixed Numt sequences as compared to other great apes. We further assessed positional effects in each species in terms of evolutionary time and rate of insertion and identified putative hotspots on chromosome 5 for Numt integration, providing insight into both recent polymorphic and older fixed reference NumtS in great apes in comparison to human events.

genomics↗

bioRxiv2017

VaPoR: a high-speed validation approach for structural variation using long-read sequencing technology.

AbstractSummaryAlthough there are numerous algorithms that have been developed to identify structural variation (SVs) in genomic sequences, there is a dearth of approaches that can be used to evaluate their results. The emergence of new sequencing technologies that generate longer sequence reads can, in theory, provide direct evidence for all types of SVs regardless of the length of region through which it spans. However, current efforts to use these data in this manner require the use of large computational resources to assemble these sequences as well as manual inspection of each region. Here, we present VaPoR, a highly efficient algorithm that autonomously validates large SV sets using long read sequencing data. We assess of the performance of VaPoR on both simulated and real SVs with regards to various features including accuracy and sensitivity of breakpoint evaluation and report a high fidelity rate.\n\nAvailabilityhttps://github.com/mills-lab/VaPoR\n\nContactremills@umich.edu\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗