Evidence map›Paper›PMID 30516036›Full record

ArticleJournal of biomedical optics2018

Temporal metabolic partitioning of the yeast and protist cellular networks: the cell is a global scale-invariant (fractal or self-similar) multioscillator.

David Lloyd, Douglas B Murray, Miguel A Aon, Sonia Cortassa, Marc R Roussel, Manfred Beckmann, Robert K Poole

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
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  4. Review
  5. Article
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

7 authors at 7 institutions in 4 countries.

David LloydCardiff University, School of Biosciences, Cardiff, Wales, United Kingdom.
Douglas B MurrayKeio University, Institute for Advanced Biosciences, Tsuruoka, Japan.
Miguel A AonNational Institutes of Health, National Institute on Aging, Laboratory of Cardiovascular Science, Ba, United States.
Sonia CortassaNational Institutes of Health, National Institute on Aging, Laboratory of Cardiovascular Science, Ba, United States.
Marc R RousselUniversity of Lethbridge, Alberta RNA Research and Training Institute and Department of Chemistry an, Canada.
Manfred BeckmannInstitute of Biological, Environmental and Rural, Sciences, Aberystwyth, Wales, United Kingdom.
Robert K PooleUniversity of Sheffield, Department of Molecular Biology and Biotechnology, Firth Court, Western Ban, United Kingdom.
Cardiff University · GBInstitute of Biological, Environmental and Rural Sciences · GBInstitute on Aging · USKeio University · JPNational Institute on Aging · USUniversity of Lethbridge · CAUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Britton Chance, electronics expert when a teenager, became an enthusiastic student of biological oscillations, passing on this enthusiasm to many students and colleagues, including one of us (DL). This historical essay traces BC's influence through the accumulated work of DL to DL's many collaborators. The overall temporal organization of mass-energy, information, and signaling networks in yeast in self-synchronized continuous cultures represents, until now, the most characterized example of in vivo elucidation of time structure. Continuous online monitoring of dissolved gases by direct measurement (membrane-inlet mass spectrometry, together with NAD(P)H and flavin fluorescence) gives strain-specific dynamic information from timescales of minutes to hours as does two-photon imaging. The predominantly oscillatory behavior of network components becomes evident, with spontaneously synchronized cellular respiration cycles between discrete periods of increased oxygen consumption (oxidative phase) and decreased oxygen consumption (reductive phase). This temperature-compensated ultradian clock provides coordination, linking temporally partitioned functions by direct feedback loops between the energetic and redox state of the cell and its growing ultrastructure. Multioscillatory outputs in dissolved gases with 13 h, 40 min, and 4 min periods gave statistical self-similarity in power spectral and relative dispersional analyses: i.e., complex nonlinear (chaotic) behavior and a functional scale-free (fractal) network operating simultaneously over several timescales.

Indexed as

Biological ClocksCell RespirationFractalsNADPSaccharomyces cerevisiaeNADPmetabolismmitochondriaoscillationsredoxrespirationrhythms

Identifiers

PMID30516036
PMCPMC6992908
OpenAlexW2902509587

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.