Robert Beattie

Dr. Robert Beattie

Institute of Science and Technology Austria (IST Austria)
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 November 2017 in FEBS Letters
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Robert BeattieRobert Beattie
Robert Beattie
SHSimon Hippenmeyer
Simon Hippenmeyer
The mammalian cerebral cortex is responsible for higher cognitive functions such as perception, consciousness, and acquiring and processing information. The neocortex is organized into six distinct laminae, each composed of a rich diversity of cell types which assemble into highly complex cortical circuits. Radial glia progenitors (RGPs) are responsible for producing all neocortical neurons and certain glia lineages. Here, we discuss recent discoveries emerging from clonal lineage analysis at the single RGP cell level that provide us with an inaugural quantitative framework of RGP lineage progression. We further discuss the importance of the relative contribution of intrinsic gene functions and non‐cell‐autonomous or community effects in regulating RGP proliferation behavior and lineage progression.

10 March 2014 in The EMBO Journal
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LRLuciano Rago
Luciano Rago
Robert BeattieRobert Beattie
Robert Beattie
VTVerdon Taylor
Verdon Taylor
JWJennifer Winter
Jennifer Winter

18 November 2019 in eLife
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Journal Article
Open access
ALAlfredo Llorca
Alfredo Llorca
GCGabriele Ciceri
Gabriele Ciceri
Robert BeattieRobert Beattie
Robert Beattie
FWFong Kuan Wong
Fong Kuan Wong
GDGiovanni Diana
Giovanni Diana
OMOscar Marin
Oscar Marin
The cerebral cortex contains multiple areas with distinctive cytoarchitectonic patterns, but the cellular mechanisms underlying the emergence of this diversity remain unclear. Here, we have investigated the neuronal output of individual progenitor cells in the developing mouse neocortex using a combination of methods that together circumvent the biases and limitations of individual approaches. Our experimental results indicate that progenitor cells generate pyramidal cell lineages with a wide range of sizes and laminar configurations. Mathematical modeling indicates that these outcomes are compatible with a stochastic model of cortical neurogenesis in which progenitor cells undergo a series of probabilistic decisions that lead to the specification of very heterogeneous progenies. Our findings support a mechanism for cortical neurogenesis whose flexibility would make it capable to generate the diverse cytoarchitectures that characterize distinct neocortical areas.

1 May 2017 in Neuron
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Robert BeattieRobert Beattie
Robert Beattie
MPMaria Pia Postiglione
Maria Pia Postiglione
LBLaura E. Burnett
Laura E. Burnett
SLSusanne Laukoter
Susanne Laukoter
CSCarmen Streicher
Carmen Streicher
SHSimon Hippenmeyer
Simon Hippenmeyer

1 November 2016 in Cell Stem Cell
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CRChiara Rolando
Chiara Rolando
AEAndrea Erni
Andrea Erni
AGAlice Grison
Alice Grison
Robert BeattieRobert Beattie
Robert Beattie
AEAnna Engler
Anna Engler
VTVerdon Taylor
Verdon Taylor

11 December 2020 in Cells
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Journal Article
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XZXuying Zhang
Xuying Zhang
CMChristine V. Mennicke
Christine V. Mennicke
GXGuanxi Xiao
Guanxi Xiao
Robert BeattieRobert Beattie
Robert Beattie
MHMansoor Haider
Mansoor Haider
TGTroy Ghashghaei
Troy Ghashghaei
Development of the nervous system undergoes important transitions, including one from neurogenesis to gliogenesis which occurs late during embryonic gestation. Here we report on clonal analysis of gliogenesis in mice using Mosaic Analysis with Double Markers (MADM) with quantitative and computational methods. Results reveal that developmental gliogenesis in the cerebral cortex occurs in a fraction of earlier neurogenic clones, accelerating around E16.5, and giving rise to both astrocytes and oligodendrocytes. Moreover, MADM-based genetic deletion of the epidermal growth factor receptor (Egfr) in gliogenic clones revealed that Egfr is cell autonomously required for gliogenesis in the mouse dorsolateral cortices. A broad range in the proliferation capacity, symmetry of clones, and competitive advantage of MADM cells was evident in clones that contained one cellular lineage with double dosage of Egfr relative to their environment, while their sibling Egfr-null cells failed to generate glia. Remarkably, the total numbers of glia in MADM clones balance out regardless of significant alterations in clonal symmetries. The variability in glial clones shows stochastic patterns that we define mathematically, which are different from the deterministic patterns in neuronal clones. This study sets a foundation for studying the biological significance of stochastic and deterministic clonal principles underlying tissue development, and identifying mechanisms that differentiate between neurogenesis and gliogenesis.