Nicholas E. Phillips

ORCID: 0000-0001-7629-9721
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About
Contact & Profiles
Research Areas
  • Circadian rhythm and melatonin
  • Dietary Effects on Health
  • Gene Regulatory Network Analysis
  • Single-cell and spatial transcriptomics
  • Diet and metabolism studies
  • Heart Rate Variability and Autonomic Control
  • Non-Invasive Vital Sign Monitoring
  • Cell Image Analysis Techniques
  • Health and Lifestyle Studies
  • Genetics, Bioinformatics, and Biomedical Research
  • Light effects on plants
  • Sleep and Work-Related Fatigue
  • Liver Disease Diagnosis and Treatment
  • Sleep and related disorders
  • Genetics, Aging, and Longevity in Model Organisms
  • Diabetes Management and Research
  • Cancer Genomics and Diagnostics
  • bioluminescence and chemiluminescence research
  • Viral Infectious Diseases and Gene Expression in Insects
  • Obesity, Physical Activity, Diet
  • Advanced Fluorescence Microscopy Techniques
  • Mental Health Research Topics
  • Gene expression and cancer classification
  • Plant Molecular Biology Research

University Hospital of Geneva
2022-2024

University of Lausanne
2024

University of Geneva
2024

École Polytechnique Fédérale de Lausanne
2017-2023

Personalis (United States)
2020

University of Manchester
2014

The circadian clock and feeding rhythms are both important regulators of rhythmic gene expression in the liver. To further dissect respective contributions clock, we analyzed differential rhythmicity liver tissue samples across several conditions. We developed a statistical method tailored to compare messenger RNA (mRNA) mouse knockout models multiple genes, as well PARbZip output transcription factors (Hlf/Dbp/Tef). Mice were exposed ad libitum or night-restricted under regular light-dark...

10.1073/pnas.2015803118 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2021-01-15

Weight loss is key to controlling the increasing prevalence of metabolic syndrome (MS) and its components, i.e., central obesity, hypertension, prediabetes dyslipidaemia. The goals our study were two-fold. First, we characterised relationships between eating duration, unprocessed processed food consumption health. During 4 weeks observation, 213 adults used a smartphone application record drink consumption, which was annotated for processing levels following NOVA classification. Low low...

10.3390/nu13031042 article EN Nutrients 2021-03-23

Abstract Progenitor maintenance, timed differentiation and the potential to enter quiescence are three fundamental processes that underlie development of any organ system. In nervous system, progenitor cells show short-period oscillations in expression transcriptional repressor Hes1, while neurons quiescent progenitors stable low high levels respectively. Here we use experimental data develop a mathematical model double-negative interaction between Hes1 microRNA, miR-9, with aim...

10.1038/ncomms4399 article EN cc-by Nature Communications 2014-03-04

Abstract Phenotypically identical mammalian cells often display considerable variability in transcript levels of individual genes. How transcriptional activity propagates cell lineages, and how this varies across genes is poorly understood. Here we combine live-cell imaging short-lived reporters mouse embryonic stem with mathematical modelling to quantify the propagation over time generations phenotypically homogenous cells. In sister find mean be strongly correlated dynamics tend...

10.1038/s41467-019-09189-8 article EN cc-by Nature Communications 2019-03-14

Wearable biosensors and smartphone applications can measure physiological variables over multiple days in free-living conditions. We food drink ingestion, glucose dynamics, physical activity, heart rate (HR), variability (HRV) 25 healthy participants 14 days. develop a Bayesian inference framework to learn personal parameters that quantify circadian rhythms responses external stressors. Modeling the effects of ingestion events on levels reveals slower decay kinetics elicit larger...

10.1016/j.crmeth.2023.100545 article EN cc-by Cell Reports Methods 2023-07-31

The circadian clock is an endogenous and self-sustained oscillator that anticipates daily environmental cycles. While rhythmic gene expression of genes well-described in populations cells, the single-cell mRNA dynamics multiple core remain largely unknown. Here we use single-molecule fluorescence situ hybridisation (smFISH) at time points to measure pairs transcripts, Rev-erbα (Nr1d1), Cry1 Bmal1, mouse fibroblasts. mean level oscillates over 24 h for all three genes, but numbers show...

10.15252/msb.202010135 article EN cc-by Molecular Systems Biology 2021-03-01

Abstract Weight loss is key to control the increasing prevalence of metabolic syndrome (MS) and its components, i.e. central obesity, hypertension, prediabetes, dyslipidaemia. We characterised relationships between eating duration, unprocessed processed food consumption, health. During 4 weeks observation, 213 adults used a smartphone application record drink which was annotated for processing levels following NOVA classification. Consumption items showed highest number significant...

10.1101/2021.01.29.21250725 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-02-01

Abstract Objective This study explored the impact of time‐restricted eating (TRE) versus standard dietary advice (SDA) on bone health. Methods Adults with ≥1 component metabolic syndrome were randomized to TRE (ad libitum within 12 hours) or SDA (food pyramid brochure). Bone turnover markers and mineral content/density by dual energy x‐ray absorptiometry assessed at baseline 6‐month follow‐up. Statistical analyses performed in total population weight loss response. Results In ( n = 42, 76%...

10.1002/oby.23577 article EN cc-by-nc-nd Obesity 2022-10-14

Abstract Aims/hypothesis Gestational diabetes mellitus (GDM) affects 14% of all pregnancies worldwide and is associated with cardiometabolic risk. We aimed to exploit high-resolution wearable device time-series data create a fine-grained physiological characterisation the postpartum GDM state in free-living conditions, including clinical variables, daily glucose dynamics, food drink consumption, physical activity, sleep patterns heart rate. Methods In prospective observational study, we...

10.1007/s00125-024-06318-x article EN cc-by Diabetologia 2024-11-12

Motivation Wearable biosensors measure physiological variables with high temporal resolution over multiple days and are increasingly employed in clinical settings, such as continuous glucose monitoring diabetes care. Such datasets bring new opportunities challenges, patients, clinicians researchers today faced a common challenge: how to best capture summarise relevant information from multimodal wearable time series? Here, we aim provide insights into individual blood dynamics their...

10.1101/2022.08.20.22278813 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2022-08-22

Abstract Phenotypically identical mammalian cells often display considerable variability in transcript levels of individual genes. How transcriptional activity propagates cell lineages, and how this varies across genes is poorly understood. Here we combined live-cell imaging short- lived reporters mouse embryonic stem with mathematical modelling to quantify the propagation over time generations. In sister found mean be strongly correlated dynamics tended synchronous; both features control...

10.1101/411447 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-09-07

Abstract The circadian clock is an endogenous and self-sustained oscillator that anticipates daily environmental cycles coordinates physiology accordingly. While rhythmic gene expression of genes well-described in populations cells, the single-cell mRNA dynamics multiple core-clock remain largely unknown. Here we use single molecule fluorescence in-situ hybridization (smFISH) at time points to measure pairs transcripts, Rev-erbα ( Nr1d1 ), Cry1 Bmal1 , mouse fibroblasts single-molecule...

10.1101/2020.08.26.268201 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-08-27

Abstract Background: Accurate identification of somatic variants in a tumor sample is often enabled by utilizing paired normal tissue from the same patient that enables separation private germline mutations variant calls. However, not always available patients, making accurate analysis more challenging. Composite proxy normals and other filtering approaches can be used lieu sample, but resulting call set may suffer incomplete reduced sensitivity compared to tumor-normal analysis. To address...

10.1158/1538-7445.am2020-852 article EN Cancer Research 2020-08-15
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