Literature DB >> 15758160

Isotropic fractionator: a simple, rapid method for the quantification of total cell and neuron numbers in the brain.

Suzana Herculano-Houzel1, Roberto Lent.   

Abstract

Stereological techniques that estimate cell numbers must be restricted to well defined structures of isotropic architecture and therefore do not apply to the whole brain or to large neural regions. We developed a novel, fast, and inexpensive method to quantify total numbers of neuronal and non-neuronal cells in the brain or any dissectable regions thereof. It consists of transforming highly anisotropic brain structures into homogeneous, isotropic suspensions of cell nuclei, which can be counted and identified immunocytochemically as neuronal or non-neuronal. Estimates of total cell, neuronal, and non-neuronal numbers can be obtained in 24 h and vary by <10% among animals. Because the estimates obtained are independent of brain volume, they can be used in comparative studies of brain-volume variation among species and in studies of phylogenesis, development, adult neurogenesis, and pathology. Applying this method to the adult rat brain, we show, for example, that it contains approximately 330 million cells, of which 200 million are neurons, and almost 70% of these are located in the cerebellum alone. Moreover, contrary to what is commonly assumed in the literature, we show that glial cells are not the majority in the rat brain.

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Year:  2005        PMID: 15758160      PMCID: PMC6725175          DOI: 10.1523/JNEUROSCI.4526-04.2005

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  23 in total

1.  Evolutionary radiations and convergences in the structural organization of mammalian brains.

Authors:  W de Winter; C E Oxnard
Journal:  Nature       Date:  2001-02-08       Impact factor: 49.962

Review 2.  Stereological methods for estimating the total number of neurons and synapses: issues of precision and bias.

Authors:  M J West
Journal:  Trends Neurosci       Date:  1999-02       Impact factor: 13.837

3.  Mosaic evolution of brain structure in mammals.

Authors:  R A Barton; P H Harvey
Journal:  Nature       Date:  2000-06-29       Impact factor: 49.962

Review 4.  Scaling laws in the mammalian neocortex: does form provide clues to function?

Authors:  Kimberly H Harrison; Patrick R Hof; Samuel S-H Wang
Journal:  J Neurocytol       Date:  2002 Mar-Jun

5.  The cell density of neural tissues: direct counting method and possible applications as a biologic referent.

Authors:  J I NURNBERGER; M W GORDON
Journal:  Prog Neurobiol       Date:  1957       Impact factor: 11.685

6.  Use of desoxyribonucleic acid as a reference standard in metabolic experiments.

Authors:  D E GRAY; H A DELUCA
Journal:  Am J Physiol       Date:  1956-02

7.  A universal scaling law between gray matter and white matter of cerebral cortex.

Authors:  K Zhang; T J Sejnowski
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

8.  Scalable architecture in mammalian brains.

Authors:  D A Clark; P P Mitra; S S Wang
Journal:  Nature       Date:  2001-05-10       Impact factor: 49.962

9.  An evolutionary scaling law for the primate visual system and its basis in cortical function.

Authors:  C F Stevens
Journal:  Nature       Date:  2001-05-10       Impact factor: 49.962

10.  Stereological analysis of regional brain volumes and neuron numbers in rats displaying a spontaneous hydrocephalic condition.

Authors:  C J Tinsley; G W Bennett; T M Mayhew; T L Parker
Journal:  Exp Neurol       Date:  2001-03       Impact factor: 5.330

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  196 in total

1.  Diversity and complexity of roles of granule cells in the cerebellar cortex. Editorial.

Authors:  Mario Manto; Chris I De Zeeuw
Journal:  Cerebellum       Date:  2012-03       Impact factor: 3.847

2.  Updated neuronal scaling rules for the brains of Glires (rodents/lagomorphs).

Authors:  Suzana Herculano-Houzel; Pedro Ribeiro; Leandro Campos; Alexandre Valotta da Silva; Laila B Torres; Kenneth C Catania; Jon H Kaas
Journal:  Brain Behav Evol       Date:  2011-10-07       Impact factor: 1.808

3.  Faster scaling of visual neurons in cortical areas relative to subcortical structures in non-human primate brains.

Authors:  C E Collins; D B Leitch; P Wong; J H Kaas; Suzana Herculano-Houzel
Journal:  Brain Struct Funct       Date:  2012-06-09       Impact factor: 3.270

4.  Neuron densities vary across and within cortical areas in primates.

Authors:  Christine E Collins; David C Airey; Nicole A Young; Duncan B Leitch; Jon H Kaas
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-23       Impact factor: 11.205

5.  Connectivity-driven white matter scaling and folding in primate cerebral cortex.

Authors:  Suzana Herculano-Houzel; Bruno Mota; Peiyan Wong; Jon H Kaas
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-18       Impact factor: 11.205

6.  Cellular scaling rules for the brains of an extended number of primate species.

Authors:  Mariana Gabi; Christine E Collins; Peiyan Wong; Laila B Torres; Jon H Kaas; Suzana Herculano-Houzel
Journal:  Brain Behav Evol       Date:  2010-09-30       Impact factor: 1.808

7.  Cellular scaling rules for primate spinal cords.

Authors:  Mark J Burish; J Klint Peebles; Mary K Baldwin; Luciano Tavares; Jon H Kaas; Suzana Herculano-Houzel
Journal:  Brain Behav Evol       Date:  2010-09-30       Impact factor: 1.808

Review 8.  Models of calcium dynamics in cerebellar granule cells.

Authors:  Elena È Saftenku
Journal:  Cerebellum       Date:  2012-03       Impact factor: 3.847

Review 9.  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

10.  Differential changes in the cellular composition of the developing marsupial brain.

Authors:  Adele M H Seelke; James C Dooley; Leah A Krubitzer
Journal:  J Comp Neurol       Date:  2013-08-01       Impact factor: 3.215

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