Developmental motives in cerebral cortex development
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1
ETH Zurich, Institute of Neuroinformatics, Switzerland
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2
INSERM Lyon, Stem Cell and Brain Resarch, France
Cortical neurogenesis is a complex process in which dividing cells have the ability to acquire specific fates and eventually differentiate toward a final cell type. The adoption of a particular cell state is the result of intrinsic genetic programs, which regulate cell behavior and cell-cell interactions, and the influence of environmental cues. Insight into the mechanisms underlying corticogenesis is provided by the genealogical history of every precursor cell. We use spectral clustering to identify recurrent cell division patterns on reconstructed cortical lineages of the mouse cortex. We evaluate the degree of similarities between precursors types and find the most likely differentiation paths that leads to the production of different cell types. The resulting model constitutes a compact probabilistic finite state machine description of the developmental process: at any time cells are found in particular states and, dispite the presence of multiple sequences of states, some of the paths are more likely to occur. The obtained state diagram represent compact state machine description of the developmental process, and enable us to evaluate the genetic distance between precursors.
Keywords:
computational neuroscience
Conference:
4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011.
Presentation Type:
Poster Presentation
Topic:
Computational neuroscience
Citation:
Pfister
S,
Douglas
R,
Dehay
C and
Kennedy
H
(2011). Developmental motives in cerebral cortex development.
Front. Neuroinform.
Conference Abstract:
4th INCF Congress of Neuroinformatics.
doi: 10.3389/conf.fninf.2011.08.00015
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Received:
17 Oct 2011;
Published Online:
19 Oct 2011.
*
Correspondence:
Dr. Sabina Sarah Pfister, ETH Zurich, Institute of Neuroinformatics, Zurich, Switzerland, sabina@ini.phys.ethz.ch