Literature DB >> 3284447

The control of neuron number.

R W Williams1, K Herrup.   

Abstract

In comparing strategies used to control neuron number, we find it useful to view nervous system development as occurring in three phases. The phases overlap--each is a process, not an event. The first phase is the development of a genetic nervous system. This is a nervous system of simple genetic intention, not a blueprint or pile of bricks. Its characteristics are abstract: How many neurons in this stem cell destined to produce, which cells are programmed to die, how much target does this cell need to survive. At the level of the individual, the genetic nervous system is essentially fixed, but over generations it is fluid. As this genetic intent interacts within a world of cells, a real brain appears. A new set of rules only tacitly present in the genome is expressed--the embryonic nervous system emerges. The interaction of its parts defines the shape and size of the nervous system. Neuron numbers are adjusted interactively by changes in proliferative potential and the severity of cell death. Cell fates are established in part through interactions with other cells and with hormones. Glial cell numbers are adjusted to match the neuron populations. This phase of brain development is what the embryologist sees under the microscope. The third and final phase of development begins when the brain starts to function and the animal starts to deal with its world. Small changes in neuron number may occur during this period, but these changes are generally of minor functional importance. At this point, the smaller elements of neuronal organization are refined in shape, number, and distribution. Axons are lost or rearranged; dendrites grow, branch, and retract; synapses are fine-tuned; and finally, receptor densities and transmitter titres are adjusted. Some of these interactions and numerical adjustments continue until the animal dies.

Mesh:

Year:  1988        PMID: 3284447     DOI: 10.1146/annurev.ne.11.030188.002231

Source DB:  PubMed          Journal:  Annu Rev Neurosci        ISSN: 0147-006X            Impact factor:   12.449


  114 in total

1.  Role of cell cycle regulatory proteins in cerebellar granule neuron apoptosis.

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Journal:  J Neurosci       Date:  1999-10-15       Impact factor: 6.167

2.  The cerebellum's role in reading: a functional MR imaging study.

Authors:  R K Fulbright; A R Jenner; W E Mencl; K R Pugh; B A Shaywitz; S E Shaywitz; S J Frost; P Skudlarski; R T Constable; C M Lacadie; K E Marchione; J C Gore
Journal:  AJNR Am J Neuroradiol       Date:  1999 Nov-Dec       Impact factor: 3.825

3.  Target-dependent sexual differentiation of a limbic-hypothalamic neural pathway.

Authors:  M A Ibanez; G Gu; R B Simerly
Journal:  J Neurosci       Date:  2001-08-01       Impact factor: 6.167

4.  Genomic portraits of the nervous system in health and disease.

Authors:  Velia D'Agata; Sebastiano Cavallaro
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

Review 5.  Understanding neuronal connectivity through the post-transcriptional toolkit.

Authors:  Carlos M Loya; David Van Vactor; Tudor A Fulga
Journal:  Genes Dev       Date:  2010-04-01       Impact factor: 11.361

Review 6.  Costs of memory: lessons from 'mini' brains.

Authors:  James G Burns; Julien Foucaud; Frederic Mery
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Review 7.  The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost.

Authors:  Suzana Herculano-Houzel
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-20       Impact factor: 11.205

Review 8.  From the primordial soup to self-driving cars: standards and their role in natural and technological innovation.

Authors:  Andreas Wagner; Scott Ortman; Robert Maxfield
Journal:  J R Soc Interface       Date:  2016-02       Impact factor: 4.118

9.  Activation of a caspase 3-related cysteine protease is required for glutamate-mediated apoptosis of cultured cerebellar granule neurons.

Authors:  Y Du; K R Bales; R C Dodel; E Hamilton-Byrd; J W Horn; D L Czilli; L K Simmons; B Ni; S M Paul
Journal:  Proc Natl Acad Sci U S A       Date:  1997-10-14       Impact factor: 11.205

10.  Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder.

Authors:  Diego Fasoli; Stefano Panzeri
Journal:  Entropy (Basel)       Date:  2019-06-26       Impact factor: 2.524

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