Literature DB >> 15322917

Specification of midbrain territory.

Nilima Prakash1, Wolfgang Wurst.   

Abstract

The vertebrate neural plate is subdivided into four distinct territories comprising the presumptive forebrain, midbrain, hindbrain, and the spinal cord, shortly after gastrulation. Initially, this subdivision relies on a defined pattern of expression of distinct transcription and secreted factors within the newly formed neuroectoderm, even before morphological partitioning is evident. Subdivision of the neural plate into distinct territories is a complex process, which is also known as patterning or regionalisation, and involves both planar and vertical signals coming from within the neuroectoderm and from neighbouring non-neural tissues. During the course of embryogenesis, this gross subdivision of the neural plate is progressively refined by a variety of mechanisms, leading to the establishment of various subdomains that ultimately give rise to specific cell populations characteristic for the corresponding brain and spinal cord regions. Once again, a prominent feature of these later processes is the defined expression of specific genes within the developing neural tube. In the present review, we will concentrate on the genes active in the progressive refinement of the midbrain territory as a distinct subdivision of the brain. We will also give an outlook on genes that are active during early induction of the anterior neural plate and genetic mechanisms that control the generation of specific cell populations of the ventral midbrain, with special focus on the mesencephalic dopaminergic neurons.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15322917     DOI: 10.1007/s00441-004-0955-x

Source DB:  PubMed          Journal:  Cell Tissue Res        ISSN: 0302-766X            Impact factor:   5.249


  14 in total

Review 1.  Strategies to unravel molecular codes essential for the development of meso-diencephalic dopaminergic neurons.

Authors:  F M J Jacobs; S M Smits; K J M Hornman; J P H Burbach; M P Smidt
Journal:  J Physiol       Date:  2006-06-29       Impact factor: 5.182

Review 2.  Genetic networks controlling the development of midbrain dopaminergic neurons.

Authors:  Nilima Prakash; Wolfgang Wurst
Journal:  J Physiol       Date:  2006-07-06       Impact factor: 5.182

Review 3.  Models for the generation and interpretation of gradients.

Authors:  Hans Meinhardt
Journal:  Cold Spring Harb Perspect Biol       Date:  2009-10       Impact factor: 10.005

4.  Dynamic imaging of mammalian neural tube closure.

Authors:  Christina Pyrgaki; Paul Trainor; Anna-Katerina Hadjantonakis; Lee Niswander
Journal:  Dev Biol       Date:  2010-06-14       Impact factor: 3.582

5.  Regulation of the development of tectal neurons and their projections by transcription factors Brn3a and Pax7.

Authors:  Natalia Fedtsova; Lely A Quina; Shirong Wang; Eric E Turner
Journal:  Dev Biol       Date:  2008-01-05       Impact factor: 3.582

Review 6.  Desire, disease, and the origins of the dopaminergic system.

Authors:  Roy V Sillitoe; Michael W Vogel
Journal:  Schizophr Bull       Date:  2008-02-17       Impact factor: 9.306

7.  Odefy--from discrete to continuous models.

Authors:  Jan Krumsiek; Sebastian Pölsterl; Dominik M Wittmann; Fabian J Theis
Journal:  BMC Bioinformatics       Date:  2010-05-07       Impact factor: 3.169

8.  beta-Catenin regulates intercellular signalling networks and cell-type specific transcription in the developing mouse midbrain-rhombomere 1 region.

Authors:  Dmitri Chilov; Natalia Sinjushina; Jonna Saarimäki-Vire; Makoto M Taketo; Juha Partanen
Journal:  PLoS One       Date:  2010-06-03       Impact factor: 3.240

Review 9.  En1 and Wnt signaling in midbrain dopaminergic neuronal development.

Authors:  Maria T M Alves dos Santos; Marten P Smidt
Journal:  Neural Dev       Date:  2011-05-10       Impact factor: 3.842

10.  Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundary.

Authors:  Dominik M Wittmann; Florian Blöchl; Dietrich Trümbach; Wolfgang Wurst; Nilima Prakash; Fabian J Theis
Journal:  PLoS Comput Biol       Date:  2009-11-20       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.