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The role of self-organization in developmental evolution

Overview of attention for article published in Theory in Biosciences, April 2014
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Title
The role of self-organization in developmental evolution
Published in
Theory in Biosciences, April 2014
DOI 10.1007/s12064-014-0200-4
Pubmed ID
Authors

Joseph E. Hannon Bozorgmehr

Abstract

In developmental and evolutionary biology, particular emphasis has been given to the relationship between transcription factors and the cognate cis-regulatory elements of their target genes. These constitute the gene regulatory networks that control expression and are assumed to causally determine the formation of structures and body plans. Comparative analysis has, however, established a broad sequence homology among species that nonetheless display quite different anatomies. Transgenic experiments have also confirmed that many developmentally important elements are, in fact, functionally interchangeable. Although dependent upon the appropriate degree of gene expression, the actual construction of specific structures appears not directly linked to the functions of gene products alone. Instead, the self-formation of complex patterns, due in large part to epigenetic and non-genetic determinants, remains a persisting theme in the study of ontogeny and regenerative medicine. Recent evidence indeed points to the existence of a self-organizing process, operating through a set of intrinsic rules and forces, which imposes coordination and a holistic order upon cells and tissue. This has been repeatedly demonstrated in experiments on regeneration as well as in the autonomous formation of structures in vitro. The process cannot be wholly attributed to the functional outcome of protein-protein interactions or to concentration gradients of diffusible chemicals. This phenomenon is examined here along with some of the methodological and theoretical approaches that are now used in understanding the causal basis for self-organization in development and its evolution.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Mexico 1 2%
United States 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 25%
Student > Ph. D. Student 9 19%
Student > Master 5 10%
Student > Bachelor 3 6%
Professor 3 6%
Other 9 19%
Unknown 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 40%
Biochemistry, Genetics and Molecular Biology 7 15%
Medicine and Dentistry 4 8%
Engineering 3 6%
Philosophy 2 4%
Other 4 8%
Unknown 9 19%
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 22 April 2014.
All research outputs
#20,656,504
of 25,381,783 outputs
Outputs from Theory in Biosciences
#174
of 216 outputs
Outputs of similar age
#155,759
of 212,208 outputs
Outputs of similar age from Theory in Biosciences
#3
of 3 outputs
Altmetric has tracked 25,381,783 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 216 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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