Deterministic Progenitor Behavior and Unitary Production of Neurons in the Neocortex

Peng Gao(Memorial Sloan Kettering Cancer Center), Maria Pia Postiglione(Institute of Science and Technology Austria), Teresa G. Krieger(Wellcome Trust), Luisirene Hernandez(Memorial Sloan Kettering Cancer Center), Chao Wang(The Ohio State University), Zhi Han, Carmen Streicher(Institute of Science and Technology Austria), Ekaterina Papusheva(Institute of Science and Technology Austria), Ryan Insolera(Memorial Sloan Kettering Cancer Center), Kritika Chugh(Memorial Sloan Kettering Cancer Center), Oren Kodish(Memorial Sloan Kettering Cancer Center), Kun Huang(The Ohio State University), Benjamin D. Simons(Wellcome/MRC Cambridge Stem Cell Institute), Liqun Luo(Stanford University), Simon Hippenmeyer(Institute of Science and Technology Austria), Song‐Hai Shi(Memorial Sloan Kettering Cancer Center)
Cell
November 1, 2014
Cited by 438Open Access
Full Text

Abstract

Radial glial progenitors (RGPs) are responsible for producing nearly all neocortical neurons. To gain insight into the patterns of RGP division and neuron production, we quantitatively analyzed excitatory neuron genesis in the mouse neocortex using Mosaic Analysis with Double Markers, which provides single-cell resolution of progenitor division patterns and potential in vivo. We found that RGPs progress through a coherent program in which their proliferative potential diminishes in a predictable manner. Upon entry into the neurogenic phase, individual RGPs produce ?8-9 neurons distributed in both deep and superficial layers, indicating a unitary output in neuronal production. Removal of OTX1, a transcription factor transiently expressed in RGPs, results in both deep- and superficial-layer neuron loss and a reduction in neuronal unit size. Moreover, ?1/6 of neurogenic RGPs proceed to produce glia. These results suggest that progenitor behavior and histogenesis in the mammalian neocortex conform to a remarkably orderly and deterministic program.


Related Papers

No related papers found

Powered by citation graph analysis