Evidence map›Paper›PMID 38422117›Full record

ArticlePLoS computational biology2024

TimeTeller: A tool to probe the circadian clock as a multigene dynamical system.

Denise Vlachou, Maria Veretennikova, Laura Usselmann, Vadim Vasilyev, Sascha Ott, Georg A Bjarnason, Robert Dallmann, Francis Levi, David A Rand

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  8. Review
  9. Personalizing chronotherapy of immune checkpoint blockade.Journal for immunotherapy of cancer · 2025
    Article
  10. Article
  11. Circadian rhythms in cardiovascular disease.European heart journal · 2025
    Review
  12. Article
  13. Article
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  16. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Denise VlachouMathematics Institute & Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
Maria VeretennikovaMathematics Institute & Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
Laura UsselmannDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Vadim VasilyevDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Sascha OttDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Georg A BjarnasonOdette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Robert DallmannDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.ORCID 0000-0002-7490-0218
Francis LeviDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
David A RandMathematics Institute & Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.ORCID 0000-0002-2217-3274
University of Warwick · GBSunnybrook Health Science Centre · CAUniversité Paris-Saclay · FR

Funding

Cancer Research UK C53561/A19933UK Biotechnology and Biological Sciences Research Council BB/K003097/1UK Medical Research Council MR/N014294/1
6 · The paper itself

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.

Indexed as

Circadian ClocksAnimalsCircadian RhythmGene Expression ProfilingHumansMiceTranscriptome

Identifiers

PMID38422117
PMCPMC10931517
OpenAlexW4392283113

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.