Evidence map›Paper›PMID 24816612›Full record

ArticleJournal of mathematical biology2015

Cell cycle dynamics: clustering is universal in negative feedback systems.

Nathan Breitsch, Gregory Moses, Erik Boczko, Todd Young

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Article in Journal of mathematical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nathan BreitschDepartment of Mathematics, Ohio University, Athens, OH, USA, nathanbreitsch@gmail.com.
Gregory Moses
Erik Boczko
Todd Young

Funding

Dynamics and Bifurcations of Population Structures Induced by Cell Cycle FeedbackR01GM090207 · NIGMS · VANDERBILT UNIVERSITY · PI BOCZKO, ERIK MIKLOS · 2009 to 2012
$1.2M
NIGMS NIH HHS R01GM090207
6 · The paper itself

Abstract

We study a model of cell cycle ensemble dynamics with cell-cell feedback in which cells in one fixed phase of the cycle S (Signaling) produce chemical agents that affect the growth and development rate of cells that are in another phase R (Responsive). For this type of system there are special periodic solutions that we call k-cyclic or clustered. Biologically, a k-cyclic solution represents k cohorts of synchronized cells spaced nearly evenly around the cell cycle. We show, under very general nonlinear feedback, that for a fixed k the stability of the k-cyclic solutions can be characterized completely in parameter space, a 2 dimensional triangle T. We show that T is naturally partitioned into k(2) sub-triangles on each of which the k-cyclic solutions all have the same stability type. For negative feedback we observe that while the synchronous solution (k = 1) is unstable, regions of stability of k ≥ 2 clustered solutions seem to occupy all of T. We also observe bi-stability or multi-stability for many parameter values in negative feedback systems. Thus in systems with negative feedback we should expect to observe cyclic solutions for some k. This is in contrast to the case of positive feedback, where we observe that the only asymptotically stable periodic orbit is the synchronous solution.

Indexed as

Models, BiologicalCell CycleCluster AnalysisFeedback, PhysiologicalMathematical ConceptsNonlinear DynamicsSaccharomyces cerevisiae

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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.