Evidence map›Paper›PMID 26543196›Full record

ArticleMolecular biology of the cell2015

Analyzing the dynamics of cell cycle processes from fixed samples through ergodic principles.

Richard John Wheeler

Open access · greenAbstract read
In one paragraph

Article in Molecular biology of the cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Basic Methods of Cell Cycle Analysis.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. ImageJ for Partially and Fully Automated Analysis of Trypanosome Micrographs.Methods in molecular biology (Clifton, N.J.) · 2020
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Shape, form, function andOpen biology · 2017
    Review
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

1 author at 1 institution in 2 countries.

Richard John WheelerSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom, and Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany richard.wheeler@path.ox.ac.uk.
University of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Tools to analyze cyclical cellular processes, particularly the cell cycle, are of broad value for cell biology. Cell cycle synchronization and live-cell time-lapse observation are widely used to analyze these processes but are not available for many systems. Simple mathematical methods built on the ergodic principle are a well-established, widely applicable, and powerful alternative analysis approach, although they are less widely used. These methods extract data about the dynamics of a cyclical process from a single time-point "snapshot" of a population of cells progressing through the cycle asynchronously. Here, I demonstrate application of these simple mathematical methods to analysis of basic cyclical processes--cycles including a division event, cell populations undergoing unicellular aging, and cell cycles with multiple fission (schizogony)--as well as recent advances that allow detailed mapping of the cell cycle from continuously changing properties of the cell such as size and DNA content. This includes examples using existing data from mammalian, yeast, and unicellular eukaryotic parasite cell biology. Through the ongoing advances in high-throughput cell analysis by light microscopy, electron microscopy, and flow cytometry, these mathematical methods are becoming ever more important and are a powerful complementary method to traditional synchronization and time-lapse cell cycle analysis methods.

Indexed as

Models, BiologicalCell BiologyCell CycleCell DivisionCytological TechniquesHumansStatistics as Topic

Identifiers

PMID26543196
PMCPMC4710220
OpenAlexW2105848443

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.