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Futile attempts to differentiate provide molecular evidence for individual differences within a population of cells during cellular reprogramming

Overview of attention for article published in FEMS Microbiology Letters, February 2012
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Title
Futile attempts to differentiate provide molecular evidence for individual differences within a population of cells during cellular reprogramming
Published in
FEMS Microbiology Letters, February 2012
DOI 10.1111/j.1574-6968.2012.02506.x
Pubmed ID
Authors

Xenia-Katharina Hoffmann, Jens Tesmer, Manfred Souquet, Wolfgang Marwan

Abstract

The heterogeneity of cell populations and the influence of stochastic noise might be important issues for the molecular analysis of cellular reprogramming at the system level. Here, we show that in Physarum polycephalum, the expression patterns of marker genes correlate with the fate decision of individual multinucleate plasmodial cells that had been exposed to a differentiation-inducing photostimulus. For several hours after stimulation, the expression kinetics of PI-3-kinase, piwi, and pumilio orthologs and other marker genes were qualitatively similar in all stimulated cells but quantitatively different in those cells that subsequently maintained their proliferative potential and failed to differentiate accordingly. The results suggest that the population of nuclei in an individual plasmodium behaves synchronously in terms of gene regulation to an extent that the plasmodium provides a source for macroscopic amounts of homogeneous single-cell material for analysing the dynamic processes of cellular reprogramming. Based on the experimental findings, we predict that circuits with switch-like behaviour that control the cell fate decision of a multinucleate plasmodium operate through continuous changes in the concentration of cellular regulators because the nuclear population suspended in a large cytoplasmic volume damps stochastic noise.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Researcher 4 22%
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 28%
Computer Science 2 11%
Engineering 2 11%
Medicine and Dentistry 2 11%
Immunology and Microbiology 1 6%
Other 3 17%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 January 2012.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from FEMS Microbiology Letters
#5,488
of 5,772 outputs
Outputs of similar age
#235,305
of 258,163 outputs
Outputs of similar age from FEMS Microbiology Letters
#25
of 26 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,772 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.