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Asymmetric Cell Division in Development, Differentiation and Cancer

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Cover of 'Asymmetric Cell Division in Development, Differentiation and Cancer'

Table of Contents

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

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Chapter title
Extracellular Regulation of the Mitotic Spindle and Fate Determinants Driving Asymmetric Cell Division.
Chapter number 16
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_16
Pubmed ID
Book ISBNs
978-3-31-953149-6, 978-3-31-953150-2
Authors

Smith, Prestina, Azzam, Mark, Hinck, Lindsay, Prestina Smith, Mark Azzam, Lindsay Hinck

Editors

Jean-Pierre Tassan, Jacek Z. Kubiak

Abstract

Stem cells use mode of cell division, symmetric (SCD) versus asymmetric (ACD), to balance expansion with self-renewal and the generation of daughter cells with different cell fates. Studies in model organisms have identified intrinsic mechanisms that govern this process, which involves partitioning molecular components between daughter cells, frequently through the regulation of the mitotic spindle. Research performed in vertebrate tissues is revealing both conservation of these intrinsic mechanisms and crucial roles for extrinsic cues in regulating the frequency of these divisions. Morphogens and positional cues, including planar cell polarity proteins and guidance molecules, regulate key signaling pathways required to organize cell/ECM contacts and spindle pole dynamics. Noncanonical WNT7A/VANGL2 signaling governs asymmetric cell division and the acquisition of cell fates through spindle pole orientation in satellite stem cells of regenerating muscle fibers. During cortical neurogenesis, the same pathway regulates glial cell fate determination by regulating spindle size, independent of its orientation. Sonic hedgehog (SHH) stimulates the symmetric expansion of cortical stem and cerebellar progenitor cells and contributes to cell fate acquisition in collaboration with Notch and Wnt signaling pathways. SLIT2 also contributes to stem cell homeostasis by restricting ACD frequency through the regulation of spindle orientation. The capacity to influence stem cells makes these secreted factors excellent targets for therapeutic strategies designed to enhance cell populations in degenerative disease or restrict cell proliferation in different types of cancers.

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X Demographics

The data shown below were collected from the profiles of 5 X users 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Researcher 6 22%
Student > Master 3 11%
Student > Bachelor 2 7%
Other 1 4%
Other 2 7%
Unknown 6 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 26%
Agricultural and Biological Sciences 7 26%
Neuroscience 3 11%
Medicine and Dentistry 2 7%
Immunology and Microbiology 1 4%
Other 0 0%
Unknown 7 26%
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 18 March 2021.
All research outputs
#12,839,346
of 22,963,381 outputs
Outputs from Results and problems in cell differentiation
#55
of 217 outputs
Outputs of similar age
#144,982
of 308,964 outputs
Outputs of similar age from Results and problems in cell differentiation
#6
of 29 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has gotten more attention than average, scoring higher than 74% 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 308,964 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
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 has done well, scoring higher than 79% of its contemporaries.