Evidence map›Paper›PMID 23209388›Full record

ArticlePLoS computational biology2012

Phase resetting reveals network dynamics underlying a bacterial cell cycle.

Yihan Lin, Ying Li, Sean Crosson, Aaron R Dinner, Norbert F Scherer

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. 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
–field-weighted citation impact
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.

  1. Coupling of cell growth modulation to asymmetric division and cell cycle regulation inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Article
  3. Article
  4. Scaling laws governing stochastic growth and division of single bacterial cells.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  5. Nonlinear response theory in chemical kinetics.The Journal of chemical physics · 2014
    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

5 authors.

Yihan LinDepartment of Chemistry, University of Chicago, Chicago, Illinois, United States of America.
Ying Li
Sean Crosson
Aaron R Dinner
Norbert F Scherer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic and proteomic methods yield networks of biological regulatory interactions but do not provide direct insight into how those interactions are organized into functional modules, or how information flows from one module to another. In this work we introduce an approach that provides this complementary information and apply it to the bacterium Caulobacter crescentus, a paradigm for cell-cycle control. Operationally, we use an inducible promoter to express the essential transcriptional regulatory gene ctrA in a periodic, pulsed fashion. This chemical perturbation causes the population of cells to divide synchronously, and we use the resulting advance or delay of the division times of single cells to construct a phase resetting curve. We find that delay is strongly favored over advance. This finding is surprising since it does not follow from the temporal expression profile of CtrA and, in turn, simulations of existing network models. We propose a phenomenological model that suggests that the cell-cycle network comprises two distinct functional modules that oscillate autonomously and couple in a highly asymmetric fashion. These features collectively provide a new mechanism for tight temporal control of the cell cycle in C. crescentus. We discuss how the procedure can serve as the basis for a general approach for probing network dynamics, which we term chemical perturbation spectroscopy (CPS).

Indexed as

Models, BiologicalBacterial ProteinsCaulobacter crescentusCell CycleDNA-Binding ProteinsMutationSystems BiologyTranscription FactorsBacterial ProteinsCtrA protein, CaulobacterDNA-Binding ProteinsTranscription Factors

Identifiers

PMID23209388
PMCPMC3510036

What OpenQuestion 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 OpenQuestion graph.