↓ Skip to main content

Asymmetric Cell Division in Development, Differentiation and Cancer

Overview of attention for book
Cover of 'Asymmetric Cell Division in Development, Differentiation and Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modeling Asymmetric Cell Division in Caulobacter crescentus Using a Boolean Logic Approach.
  3. Altmetric Badge
    Chapter 2 Spatiotemporal Models of the Asymmetric Division Cycle of Caulobacter crescentus.
  4. Altmetric Badge
    Chapter 3 Intrinsic and Extrinsic Determinants Linking Spindle Pole Fate, Spindle Polarity, and Asymmetric Cell Division in the Budding Yeast S. cerevisiae.
  5. Altmetric Badge
    Chapter 4 Wnt Signaling Polarizes C. elegans Asymmetric Cell Divisions During Development.
  6. Altmetric Badge
    Chapter 5 Asymmetric Cell Division in the One-Cell C. elegans Embryo: Multiple Steps to Generate Cell Size Asymmetry.
  7. Altmetric Badge
    Chapter 6 Size Matters: How C. elegans Asymmetric Divisions Regulate Apoptosis.
  8. Altmetric Badge
    Chapter 7 The Midbody and its Remnant in Cell Polarization and Asymmetric Cell Division.
  9. Altmetric Badge
    Chapter 8 Drosophila melanogaster Neuroblasts: A Model for Asymmetric Stem Cell Divisions.
  10. Altmetric Badge
    Chapter 9 Asymmetric Divisions in Oogenesis.
  11. Altmetric Badge
    Chapter 10 Asymmetric Localization and Distribution of Factors Determining Cell Fate During Early Development of Xenopus laevis.
  12. Altmetric Badge
    Chapter 11 Asymmetries in Cell Division, Cell Size, and Furrowing in the Xenopus laevis Embryo.
  13. Altmetric Badge
    Chapter 12 Asymmetric and Unequal Cell Divisions in Ascidian Embryos.
  14. Altmetric Badge
    Chapter 13 Asymmetries and Symmetries in the Mouse Oocyte and Zygote
  15. Altmetric Badge
    Chapter 14 Symmetry Does not Come for Free: Cellular Mechanisms to Achieve a Symmetric Cell Division.
  16. Altmetric Badge
    Chapter 15 A Comparative Perspective on Wnt/β-Catenin Signalling in Cell Fate Determination.
  17. Altmetric Badge
    Chapter 16 Extracellular Regulation of the Mitotic Spindle and Fate Determinants Driving Asymmetric Cell Division.
  18. Altmetric Badge
    Chapter 17 Regulation of Asymmetric Cell Division in Mammalian Neural Stem and Cancer Precursor Cells
  19. Altmetric Badge
    Chapter 18 Molecular Programs Underlying Asymmetric Stem Cell Division and Their Disruption in Malignancy.
Attention for Chapter 1: Modeling Asymmetric Cell Division in Caulobacter crescentus Using a Boolean Logic Approach.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Modeling Asymmetric Cell Division in Caulobacter crescentus Using a Boolean Logic Approach.
Chapter number 1
Book title
Asymmetric Cell Division in Development, Differentiation and Cancer
Published in
Results and problems in cell differentiation, April 2017
DOI 10.1007/978-3-319-53150-2_1
Pubmed ID
Book ISBNs
978-3-31-953149-6, 978-3-31-953150-2
Authors

Sánchez-Osorio, Ismael, Hernández-Martínez, Carlos A, Martínez-Antonio, Agustino, Ismael Sánchez-Osorio, Carlos A. Hernández-Martínez, Agustino Martínez-Antonio

Editors

Jean-Pierre Tassan, Jacek Z. Kubiak

Abstract

Caulobacter crescentus is a model organism for the study of asymmetric division and cell type differentiation, as its cell division cycle generates a pair of daughter cells that differ from one another in their morphology and behavior. One of these cells (called stalked) develops a structure that allows it to attach to solid surfaces and is the only one capable of dividing, while the other (called swarmer) develops a flagellum that allows it to move in liquid media and divides only after differentiating into a stalked cell type. Although many genes, proteins, and other molecules involved in the asymmetric division exhibited by C. crescentus have been discovered and characterized for several decades, it remains as a challenging task to understand how cell properties arise from the high number of interactions between these molecular components. This chapter describes a modeling approach based on the Boolean logic framework that provides a means for the integration of knowledge and study of the emergence of asymmetric division. The text illustrates how the simulation of simple logic models gives valuable insight into the dynamic behavior of the regulatory and signaling networks driving the emergence of the phenotypes exhibited by C. crescentus. These models provide useful tools for the characterization and analysis of other complex biological networks.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 13%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Researcher 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 3 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 13%
Computer Science 1 13%
Agricultural and Biological Sciences 1 13%
Engineering 1 13%
Unknown 4 50%
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 15 April 2017.
All research outputs
#15,453,139
of 22,963,381 outputs
Outputs from Results and problems in cell differentiation
#96
of 217 outputs
Outputs of similar age
#193,720
of 308,964 outputs
Outputs of similar age from Results and problems in cell differentiation
#12
of 29 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 217 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 308,964 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.