1
|
Vlachou D, Veretennikova M, Usselmann L, Vasilyev V, Ott S, Bjarnason GA, Dallmann R, Levi F, Rand DA. TimeTeller: A tool to probe the circadian clock as a multigene dynamical system. PLoS Comput Biol 2024; 20:e1011779. [PMID: 38422117 DOI: 10.1371/journal.pcbi.1011779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 03/12/2024] [Accepted: 12/21/2023] [Indexed: 03/02/2024] Open
Abstract
Recent studies have established that the circadian clock influences onset, progression and therapeutic outcomes in a number of diseases including cancer and heart diseases. Therefore, there is a need for tools to measure the functional state of the molecular circadian clock and its downstream targets in patients. Moreover, the clock is a multi-dimensional stochastic oscillator and there are few tools for analysing it as a noisy multigene dynamical system. In this paper we consider the methodology behind TimeTeller, a machine learning tool that analyses the clock as a noisy multigene dynamical system and aims to estimate circadian clock function from a single transcriptome by modelling the multi-dimensional state of the clock. We demonstrate its potential for clock systems assessment by applying it to mouse, baboon and human microarray and RNA-seq data and show how to visualise and quantify the global structure of the clock, quantitatively stratify individual transcriptomic samples by clock dysfunction and globally compare clocks across individuals, conditions and tissues thus highlighting its potential relevance for advancing circadian medicine.
Collapse
Affiliation(s)
- Denise Vlachou
- Mathematics Institute & Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom
| | - Maria Veretennikova
- Mathematics Institute & Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom
| | - Laura Usselmann
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Vadim Vasilyev
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Sascha Ott
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Georg A Bjarnason
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Robert Dallmann
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Francis Levi
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
- Department of Statistics, University of Warwick, Coventry, United Kingdom
- UPR "Chronotherapy, Cancer and Transplantation", Medical School, Paris-Saclay University, Medical Oncology Department, Paul Brousse Hospital, Villejuif, France
| | - David A Rand
- Mathematics Institute & Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom
| |
Collapse
|
2
|
Llowarch P, Usselmann L, Ivanov D, Holdgate GA. Thermal unfolding methods in drug discovery. Biophys Rev (Melville) 2023; 4:021305. [PMID: 38510342 PMCID: PMC10903397 DOI: 10.1063/5.0144141] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 04/13/2023] [Indexed: 03/22/2024]
Abstract
Thermal unfolding methods, applied in both isolated protein and cell-based settings, are increasingly used to identify and characterize hits during early drug discovery. Technical developments over recent years have facilitated their application in high-throughput approaches, and they now are used more frequently for primary screening. Widespread access to instrumentation and automation, the ability to miniaturize, as well as the capability and capacity to generate the appropriate scale and quality of protein and cell reagents have all played a part in these advances. As the nature of drug targets and approaches to their modulation have evolved, these methods have broadened our ability to provide useful chemical start points. Target proteins without catalytic function, or those that may be difficult to express and purify, are amenable to these methods. Here, we provide a review of the applications of thermal unfolding methods applied in hit finding during early drug discovery.
Collapse
Affiliation(s)
- Poppy Llowarch
- High Throughput Screening, Hit Discovery, Discovery Sciences, R&D, AstraZeneca, Alderley Park, United Kingdom
| | - Laura Usselmann
- High Throughput Screening, Hit Discovery, Discovery Sciences, R&D, AstraZeneca, Alderley Park, United Kingdom
| | - Delyan Ivanov
- High Throughput Screening, Hit Discovery, Discovery Sciences, R&D, AstraZeneca, Alderley Park, United Kingdom
| | - Geoffrey A. Holdgate
- High Throughput Screening, Hit Discovery, Discovery Sciences, R&D, AstraZeneca, Alderley Park, United Kingdom
| |
Collapse
|
3
|
Taylor L, Von Lendenfeld F, Ashton A, Sanghani H, Di Pretoro S, Usselmann L, Veretennikova M, Dallmann R, McKeating JA, Vasudevan S, Jagannath A. Sleep and circadian rhythm disruption alters the lung transcriptome to predispose to viral infection. iScience 2023; 26:105877. [PMID: 36590897 PMCID: PMC9788990 DOI: 10.1016/j.isci.2022.105877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 10/11/2022] [Accepted: 12/21/2022] [Indexed: 12/26/2022] Open
Abstract
Sleep and circadian rhythm disruption (SCRD), as encountered during shift work, increases the risk of respiratory viral infection including SARS-CoV-2. However, the mechanism(s) underpinning higher rates of respiratory viral infection following SCRD remain poorly characterized. To address this, we investigated the effects of acute sleep deprivation on the mouse lung transcriptome. Here we show that sleep deprivation profoundly alters the transcriptional landscape of the lung, causing the suppression of both innate and adaptive immune systems, disrupting the circadian clock, and activating genes implicated in SARS-CoV-2 replication, thereby generating a lung environment that could promote viral infection and associated disease pathogenesis. Our study provides a mechanistic explanation of how SCRD increases the risk of respiratory viral infections including SARS-CoV-2 and highlights possible therapeutic avenues for the prevention and treatment of respiratory viral infection.
Collapse
Affiliation(s)
- Lewis Taylor
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Felix Von Lendenfeld
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Anna Ashton
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Harshmeena Sanghani
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3QT, UK
| | - Simona Di Pretoro
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Laura Usselmann
- Division of Biomedical Sciences, Warwick Medical School, Interdisciplinary Biomedical Research Building, Gibbet Hill Campus, University of Warwick, Coventry CV4 7AL, UK
| | - Maria Veretennikova
- Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, Department of Mathematics, Mathematical Sciences Building, University of Warwick, Coventry CV4 7AL, UK
| | - Robert Dallmann
- Division of Biomedical Sciences, Warwick Medical School, Interdisciplinary Biomedical Research Building, Gibbet Hill Campus, University of Warwick, Coventry CV4 7AL, UK
| | - Jane A. McKeating
- Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford OX3 7BN, UK
- Chinese Academy of Medical Sciences (CAMS) Oxford Institute (COI), University of Oxford, Old Road Campus, Oxford OX3 7BN, UK
| | - Sridhar Vasudevan
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3QT, UK
| | - Aarti Jagannath
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| |
Collapse
|
4
|
Clark R, Usselmann L, Brown MR, Goeppert AU, Corrigan A. A flexible high content imaging assay for profiling macrophage efferocytosis. J Immunol Methods 2019; 473:112636. [PMID: 31369739 DOI: 10.1016/j.jim.2019.112636] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 05/11/2019] [Accepted: 07/26/2019] [Indexed: 11/29/2022]
Abstract
Macrophages are a diverse population of cells originating from the myeloid lineage, which form an important component of the innate immune system, helping to regulate immune response through secretion of pro/anti-inflammatory cytokines. However they also have an important homeostatic role - helping to remove cellular debris and apoptotic cells from the body (a phagocytic process known as efferocytosis). Here we describe a robust 384 well microplate based imaging assay, using apoptotic target cells for the specific quantification of efferocytosis in human primary monocyte derived macrophages. The methodology described allows for the assay to run in either fixed end-point or live-cell format (the former offering multiple morphological and intensity-based readouts, whilst the latter opens the possibility for future expansion of the methodology to encompass kinetic profiling). Within the methodology described we couple high content image acquisition (on the Cell Voyager 7000S) with multi-parametric image analysis - using Perkin Elmer Columbus combined with GeneData Screener.
Collapse
Affiliation(s)
- Roger Clark
- Discovery Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, UK.
| | - Laura Usselmann
- Discovery Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, UK
| | - Martin R Brown
- Discovery Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, UK
| | - Anne U Goeppert
- Precision Medicine, Oncology R&D, AstraZeneca, Cambridge, UK
| | - Adam Corrigan
- Discovery Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, UK
| |
Collapse
|