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Assessment of Transport Mechanisms Underlying the Bicoid Morphogen Gradient

Overview of attention for article published in Cellular and Molecular Bioengineering, January 2011
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Title
Assessment of Transport Mechanisms Underlying the Bicoid Morphogen Gradient
Published in
Cellular and Molecular Bioengineering, January 2011
DOI 10.1007/s12195-010-0157-4
Pubmed ID
Authors

Brian T. Castle, Stephen A. Howard, David J. Odde

Abstract

Morphogen gradients dictate the spatial patterning of multicellular organisms and are established via transport mechanisms. One of the best-characterized morphogens, Bicoid, acts as a polarity determinant in the Drosophila embryo through spatial-temporal control of gap gene expression. The prevailing model for establishment of the gradient has been localized anterior translation, subsequent diffusion, and spatially uniform degradation, consistent with the observed exponential anterior-posterior decay. However, a recent direct measurement of the Bicoid diffusion coefficient via fluorescence recovery after photobleaching (FRAP) resulted in a surprisingly low estimate, which challenged the prevailing model and led to more complicated active transport models. Here, we reassessed this conclusion using a detailed computational model of the FRAP experiment and analysis. In our model, we found disagreement between the input diffusion coefficient and the resulting estimated diffusion coefficient, as measured by previous methods. By using the model to reproduce the original data, we estimate that Bicoid's mitotic diffusion coefficient is 3-fold larger than the originally reported value. Thus, the long-standing diffusive transport model still holds.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
United States 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Researcher 5 24%
Student > Master 3 14%
Student > Doctoral Student 2 10%
Lecturer 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 33%
Physics and Astronomy 3 14%
Engineering 2 10%
Mathematics 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 4 19%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 January 2012.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from Cellular and Molecular Bioengineering
#147
of 457 outputs
Outputs of similar age
#54,886
of 181,597 outputs
Outputs of similar age from Cellular and Molecular Bioengineering
#1
of 1 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 457 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 63% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 181,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them