Biology subjects

Anafi, R. C.

Publications and source records attributed to Anafi, R. C..

10 recordsLinked to original sources

bioRxiv2026

Single-cell Transcriptomic Variance Analysis Reveals Intercellular Circadian Desynchrony in the Alzheimer's Affected Human Brain

Bulk tissue rhythms arise from the coordination of thousands of individual cellular oscillations. Bulk rhythm amplitude differences may reflect changes in the amplitude of the underlying cellular oscillators or changes in their temporal coherence. To resolve this fundamental ambiguity, we developed ORPHEUS (Oscillatory Rhythm Phase Heterogeneity Estimated Using Statistical-moments), an analytical method that quantifies cellular desynchrony by leveraging the unique 12hr rhythmic signature it imparts on intercellular expression variance. After validating ORPHEUS in silico and on data from the mouse suprachiasmatic nucleus (SCN), we applied it to data from the mouse liver and human brain to uncover disease- and pathway-related differences in intercellular synchrony. In both tissues, we found that circadian synchrony is higher in cells and samples with higher MTORC activity. Most critically, we observed a dramatic loss of cellular synchrony in excitatory neurons from subjects with Alzheimers Disease (AD) dementia. By decoupling the influence of cellular amplitude and synchrony, ORPHEUS introduces a new, interpretable tool for analyzing circadian coordination in time-course single-cell data.

bioinformatics↗

bioRxiv2025

Comparative circadian transcriptome analysis reveals dampened and phase-advanced rhythms in sun-exposed human skin

BackgroundDaily molecular rhythms modulate skin physiology. However, the effects of chronic sun exposure on these rhythms remain unstudied. ObjectivesThis study aimed to identify and compare rhythmic genes and pathways in photoprotected and chronically photoexposed human skin in vivo. MethodsTwenty healthy White women, aged 51-63, with moderate-severe photoageing of the dorsal forearm were recruited. Skin biopsies (3mm) were taken from photoprotected (upper buttock) and photoexposed (dorsal forearm) skin of each individual at noon, 6PM, midnight, and 6AM, across a 24-hour cycle. Skin biopsies were analysed by RNA sequencing. Cosinor analysis identified cycling genes along with their amplitudes and peak expression phases. Nested models were used to identify genes that were differentially rhythmic between the photoprotected and photoexposed sites. Phase set and gene set analyses identified pathways enriched among rhythmic transcripts or altered between the two sites. ResultsIn the photoprotected buttock skin, 1546 genes (12%) met the criteria for cycling. In photoexposed forearm skin, the number was reduced to 959 (8%). As a group, transcripts that cycled in both sites had overall higher amplitude in photoprotected skin (p < 2.2e-16). Peak expression times for these transcripts showed a pronounced bimodal distribution and were clustered in the early morning and mid-afternoon. Distributions of peak times were significantly different between photoexposed and photoprotected skin (p < 0.00025), with peak times advanced in photoexposed skin. We identified 480 genes with significantly different rhythmic properties between the skin sites. Genes involved in DNA repair, MYC targets, E2F and G2M checkpoint pathways were enriched among those that showed higher amplitude oscillations in photoprotected skin. Genes involved in epithelial mesenchymal transition and apical junction pathways showed higher amplitude oscillations in photoexposed skin. ConclusionsTemporal rhythms have a marked influence on skin molecular physiology and are altered in photoaged skin. Temporally advanced cycling patterns and a reduced number of rhythmic genes in photoexposed as compared to photoprotected skin suggest that chronic UV exposure may disrupt and/or reprogram circadian output rhythms to further alter skin physiology.

cell biology↗

bioRxiv2025

Tanycyte Bmal1 sex-specifically regulates weight gain and hypothalamic neurogenesis in female mice

The hypothalamic radial-glia-like tanycyte population plays important and intertwined roles in feeding and metabolism, reproduction, and seasonality. Although these processes are circadian-regulated and clock genes reportedly show robust cycling along the 3rd ventricle, the role of the clock in tanycytes has not yet been examined. We report here that clock genes cycle with much higher amplitude in ventral tanycytes compared to more dorsal ependymocytes of the 3rd ventricle, and that specific disruption of the tanycyte clock can be achieved by adult Bmal1 deletion using the RaxCreER driver. Adult tanycyte Bmal1 deletion did not affect circadian rhythms of wheel-running and sleep, but did inhibit weight gain on high-fat diet in female mice. Altered tanycyte-derived hypothalamic neurogenesis, which can regulate feeding and weight gain by contributing new neurons to nearby feeding-relevant nuclei, is one mechanism that likely contributes to this phenotype. Fate mapping studies showed that female mice have higher baseline tanycyte-derived neurogenesis than males, with many of the resulting neurons localizing to the feeding-relevant arcuate nucleus. Female but not male mice show reduced tanycyte-derived arcuate neurogenesis after adult tanycyte Bmal1 deletion and an increased percentage of newborn arcuate neurons take on a feeding-suppressing POMC neuropeptidergic fate. Thereby, skewing of feeding and satiety promoting fates link the weight homeostasis and neurogenesis effects. Together, our data establish tanycyte Bmal1 as a sexually dimorphic regulator of weight homeostasis, likely mediated at least in part by a female-specific neurogenesis effect in the feeding circuitry.

neuroscience↗

bioRxiv2025

Reconstructed Cell-Type Specific Rhythms in Human Brain link Alzheimer's Pathology, Circadian Stress, and Ribosomal Disruption

Alzheimers disease (AD) disrupts behavioral circadian rhythms, but its effects on molecular rhythms in the human brain are poorly understood. Using single-nucleus RNA sequencing from post-mortem cortical samples, we informatically estimated the relative circadian phases of 409 persons with and without AD dementia. We then reconstructed circadian expression profiles across cell types. While core clock rhythms were preserved in AD, many cell-type specific circadian outputs were disrupted. Rhythms in ribosomal biogenesis and oxidative phosphorylation were dampened across cell types. Similar losses in ribosomal gene expression rhythms were observed in APP/PS1 mice, which showed further reductions in ribosomal protein expression and polysome-mediated translation after circadian desynchrony. Exploratory computational modeling reveals that altered translation may contribute to the increased circadian variability seen in AD patients. These findings reveal altered cell-type specific circadian output rhythms in the brains of AD affected patients, and highlight disrupted ribosomal rhythms as a feature of AD.

bioinformatics↗

bioRxiv2024

A glial circadian gene expression atlas reveals cell type and disease-specific reprogramming in response to amyloid pathology or aging.

While circadian rhythm disruption may promote neurodegenerative disease, how aging and neurodegenerative pathology impact circadian gene expression patterns in different brain cell types is unknown. Here, we used translating ribosome affinity purification methods to define the circadian translatomes of astrocytes, microglia, and bulk cerebral cortex, in healthy mouse brain and in the settings of amyloid-beta plaque pathology or aging. Our data reveal that glial circadian translatomes are highly cell type-specific and exhibit profound, context-dependent reprogramming of rhythmic transcripts in response to amyloid pathology or aging. Transcripts involved in glial activation, immunometabolism, and proteostasis, as well as nearly half of all Alzheimer Disease (AD)-associated risk genes, displayed circadian oscillations, many of which were altered by pathology. Amyloid-related differential gene expression was also dependent on time of day. Thus, circadian rhythms in gene expression are cell- and context dependent and provide important insights into glial gene regulation in health, AD, and aging.

neuroscience↗

bioRxiv2023

Subtype-specific circadian clock dysregulation modulates breast cancer biology, invasiveness, and prognosis.

Studies in shift workers and model organisms link circadian disruption to breast cancer. However, molecular rhythms in non-cancerous and cancerous human breast tissues are largely unknown. We reconstructed rhythms informatically, integrating locally collected, time-stamped biopsies with public datasets. For non-cancerous tissue, the inferred order of core-circadian genes matches established physiology. Inflammatory, epithelial-mesenchymal transition (EMT), and estrogen responsiveness pathways show circadian modulation. Among tumors, clock correlation analysis demonstrates subtype-specific changes in circadian organization. Luminal A organoids and informatic ordering of Luminal A samples exhibit continued, albeit disrupted rhythms. However, CYCLOPS magnitude, a measure of global rhythm strength, varied widely among Luminal A samples. Cycling of EMT pathway genes was markedly increased in high-magnitude Luminal A tumors. Patients with high-magnitude tumors had reduced 5-year survival. Correspondingly, 3D Luminal A cultures show reduced invasion following molecular clock disruption. This study links subtype-specific circadian disruption in breast cancer to EMT, metastatic potential, and prognosis.

cancer biology↗

bioRxiv2022

An in silico genome-wide screen for circadian clock strength in human samples

Years of time-series gene expression studies have built a strong understanding of clock-controlled pathways across species. However, comparatively little is known about how non-clock pathways influence clock function. We developed a new computational approach to explore candidate pathways coupled to the clock in human tissues. This method, termed LTM, is an in silico screen to infer genetic influences on circadian clock function. LTM uses natural variation in gene expression in human data and directly links gene expression variation to clock strength independent of longitudinal data. We applied LTM to three human skin and one melanoma datasets and found that the cell cycle is the top candidate clock-coupled pathway in healthy skin. In addition, we applied LTM to thousands of tumor samples from 11 cancer types in the TCGA database and found that extracellular matrix organization-related pathways are tightly associated with the clock strength in humans. Further analysis shows that clock strength in tumor samples are correlated with the proportion of cancer-associated fibroblasts and endothelial cells. Therefore, we show both the power of LTM in predicting clock-coupled pathways and classify factors associated with clock strength in human tissues. LTM is available on GitHub to facilitate its use.

bioinformatics↗

bioRxiv2022

Developmental emergence of sleep rhythms enables long-term memory capabilities in Drosophila

In adulthood, sleep-wake rhythms are one of the most prominent behaviors under circadian control. However, during early life, sleep is spread across the 24-hour day (1-4). The mechanism through which sleep rhythms emerge, and the consequent advantage conferred to a juvenile animal, are unknown. In 2nd instar Drosophila larvae (L2), like human infants, sleep is not under circadian control (5). Here, we identify the precise developmental timepoint when the circadian clock begins to regulate sleep in Drosophila, leading to the emergence of sleep rhythms at the early 3rd instar stage (L3). At this stage, a cellular connection forms between DN1a clock neurons and arousalpromoting Dh44 neurons, bringing arousal under clock control to drive the emergence of circadian sleep. Finally, we demonstrate that L3 but not L2 larvae exhibit long-term memory (LTM) of an aversive cue, and that this LTM depends upon deep sleep generated once sleep rhythms begin. We propose that the developmental emergence of circadian sleep enables more complex cognitive processes, including the onset of enduring memories.

neuroscience↗

bioRxiv2021

Machine learning approaches to identify sleep genes

Genetics impacts sleep, yet, the molecular mechanisms underlying sleep regulation remain elusive. We built machine learning (ML) models to predict genes based on their similarity to known sleep genes. Using a manually curated list of 109 labeled sleep genes, we trained a prediction model on thousands of published datasets, representing circadian, immune, sleep deprivation, and many other processes. Our predictions fit with prior knowledge of sleep regulation and also identify several key genes/pathways to pursue in follow-up studies. We tested one of our findings, the NF-{kappa}B pathway, and showed that its genetic alteration affects sleep duration in mice. Our study highlights the power of ML to integrate prior knowledge and genome-wide data to study genetic regulation of sleep and other complex behaviors.

genomics↗

bioRxiv2018

A population-based human enCYCLOPedia for circadian medicine

The discovery that half of the mammalian protein-coding genome is clock-regulated has clear implications for medicine. Indeed, recent studies demonstrate time-of-day impact on therapeutic outcomes in human heart disease and cancer. Yet biological time is rarely given clinical consideration. A key barrier is the absence of information on the what and where of molecular rhythms in the human body. Here, we have applied CYCLOPS, an algorithm designed to reconstruct sample order in the absence of time-of-day information, to the GTEx collection of 632 human donors contributing 4,292 RNA-seq samples from 13 distinct human tissue types. We identify rhythms in expression across the body that persist at the population-level. This includes a set of ubiquitous cyclers comprised of well-established circadian clock factors but also many genes without prior circadian context. Among thousands of tissue-divergent rhythms, we discover a set of genes robustly oscillating in cardiovascular tissue, including key drug targets relevant to heart disease. These results also have implications for genetic studies where circadian variability may have masked genetic influence. It is our hope that the human enCYCLOPedia helps drive the translation of circadian biology into prospective clinical trials in cardiology and many other therapeutic areas.\n\nOne Sentence SummaryBioinformatic analyses on thousands of human tissue samples reveals an enCYCLOPedia of rhythmic gene expression across the body and identifies key translational opportunities for circadian medicine in cardiovascular disease.

bioinformatics↗