Evidence map›Paper›PMID 24703314›Full record

ArticleBiophysical journal2014

Interactions and tradeoffs between cell recruitment, proliferation, and differentiation affect CNS regeneration.

William R Holmes, Qing Nie

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2014. 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
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

William R HolmesCenter for Mathematical and Computational Biology, Center for Complex Biological Systems, Department of Mathematics, University of California, Irvine, California.
Qing NieCenter for Mathematical and Computational Biology, Center for Complex Biological Systems, Department of Mathematics, University of California, Irvine, California. Electronic address: qnie@math.uci.edu.
University of California, Irvine · US

Funding

Uncover Strategies Used By Biological SystemsP50GM076516 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D · 2007 to 2016
$25.1M
Principles of Robust Developmental PatterningR01GM067247 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D, NIE, QING · 2002 to 2014
$4.7M
NIGMS NIH HHS P50 GM076516NIGMS NIH HHS P50GM76516NIGMS NIH HHS R01 GM067247NIGMS NIH HHS R01GM67247
6 · The paper itself

Abstract

Regeneration of central nervous system (CNS) lesions requires movement of progenitor cells and production of their differentiated progeny. Although damage to the CNS clearly promotes these two processes, the interplay between these complex events and how it affects a response remains elusive. Here, we use spatial stochastic modeling to show that tradeoffs arise between production and recruitment during regeneration. Proper spatial control of cell cycle timing can mitigate these tradeoffs, maximizing recruitment, improving infiltration into the lesion, and reducing wasteful production outside of it. Feedback regulation of cell lineage dynamics alone however leads to spatial defects in cell recruitment, suggesting a novel, to our knowledge, hypothesis for the aggregation of cells to the periphery of a lesion in multiple sclerosis. Interestingly, stronger chemotaxis does not correct this aggregation and instead, substantial random cell motions near the site of the lesion are required to improve CNS regeneration.

Indexed as

Cell MovementCell ProliferationModels, NeurologicalNeurogenesisAnimalsCell AggregationCell CycleCell DifferentiationCentral Nervous SystemChemotaxisComputer SimulationFeedback, PhysiologicalMiceMultiple SclerosisNerve RegenerationStochastic Processes

Identifiers

PMID24703314
PMCPMC3976526
OpenAlexW2116522766

What OpenQuestion holds

Textmetadata
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.