Egr-1 rat GFP neuN CA1 hippocampus striatum

Gene Expr Patterns. 2007 Oct;7(8):872-83.
Egr-1-d2EGFP transgenic rats identify transient populations of neurons and glial cells during postnatal brain development.
Man PS, Wells T, Carter DA.

School of Biosciences, Cardiff University, P.O. Box 911, Museum Avenue, Cardiff CF10 3US, UK.

The inducible transcription factor Egr-1 has been extensively studied in the adult brain but potential roles during development are largely unexplored. Here we describe the analysis of a new transgenic rat model (egr-1 promoter driving a destabilized GFP molecule) that has provided novel information about the postnatal roles of Egr-1. We show that Egr-1 is more widely expressed in the neonatal brain than was previously appreciated, and is not restricted to neurons; it is expressed in glial cells in the postnatal neocortex and hippocampus. This pattern of expression has been revealed due to cellular filling by GFP, permitting co-localization with glial markers. The transgene/Egr-1 is also expressed in a novel population of cells associated with Cajal-Retzius-like neurons within the marginal zone of the postnatal neocortex. Both of these cellular populations are transient, being limited to the neonatal period, before Egr-1 expression becomes established in an adult-like pattern within neocortical neurons, CA1 hippocampus, and striatum. Another transient population of transgene/Egr-1 cells in the bed nucleus of the stria terminalis is maintained until pre-adolescence. The transient phenotype of these cells involves a low relative expression of the neuronal marker NeuN, perhaps indicating a failure to achieve full neuronal differentiation. Egr-1 is therefore present in a diverse range of cell-types during postnatal development. Transgenic expression of a destabilized fluorescent marker has permitted identification of these novel cell populations and will facilitate further analysis of the transcriptional mechanisms that underlie the specific functions and fate of these cells during postnatal brain development.

songbird transcriptome / Neurogenomics

Shepherd-Charpak;Petzold, et al; 2008, neuron

2 articles  sur l’imagerie optique in vivo dans Neuron en juin 2008 avec structure cible “Olfactory Glomerulus”:

The Olfactory Glomerulus: A Model for Neuro-Glio-Vascular Biology

Gordon M. Shepherd1, and Serge Charpak

Neuron 58,827-829, 2008

article, pdf:

shefferd-charpak-2008

Coupling of Neural Activity to Blood Flow in Olfactory Glomeruli Is Mediated by Astrocytic Pathways
Gabor C. Petzold,1,2 Dinu F. Albeanu,1,2 Tomokazu F. Sato,1,2 and Venkatesh N. Murthy1,2,*
Neuron 58, 897–910, 2008
DOI 10.1016/j.neuron.2008.04.029
article, pdf:

petzold2008_neuron

Johnson-Whitney,2005,Physiology & Behavior

Article intéressant pour saisir combien le zebra est un animal télencéphalique et autres…

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Singing-driven gene expression in the developing songbird brain
Frank Johnson , Osceola Whitney
Physiology & Behavior 86 (2005) 390 – 398

Neural and behavioral development arises from an integration of genetic and environmental influences, yet specifying the nature of this
interaction remains a primary problem in neuroscience. Here, we review molecular and behavioral studies that focus on the role of singing-
driven gene expression during neural and vocal development in the male zebra finch (Taeniopygia guttata ), a songbird that learns a species-
typical vocal pattern during juvenile development by imitating an adult male tutor. A primary aim of our lab has been to identify naturally-
occurring environmental influences that shape the propensity to sing. This ethological approach underlies our theoretical perspective, which
is to integrate the significance of singing-driven gene expression into a broader ecological context.

article, pdf:

johnson2005_zebraf

Pellerin-Magistretti,2004,science

Science 2 July 2004:
Vol. 305. no. 5680, pp. 50 – 52
DOI: 10.1126/science.1100428

NEUROSCIENCE:
Let There Be (NADH) Light

Luc Pellerin and Pierre J. Magistretti

Oxidation of glucose is thought to provide almost all of the energy needed by neurons to support brain activity. Indeed, glucose consumption is tightly linked to neuronal activity in the brain. For decades, these two principles have driven the study of brain energy metabolism and its relation to brain activity. They also provide the foundation for a brain imaging method called 2-deoxyglucose autoradiography that maps regional brain activation as animals undertake different tasks. This method, developed by Sokoloff (1), has been used in combination with another imaging technique, positron emission tomography (PET), to study brain activation under different conditions in human subjects. However, the traditional view that glucose is consumed directly and solely by neurons and that glucose consumption directly reflects neuronal activity is under challenge. In vitro, ex vivo, and in vivo experiments have shown that astrocytes, a type of glial cell in the central nervous system, respond to neuronal activity mediated by the neurotransmitter glutamate by consuming more glucose as well as producing more lactate (2). In parallel, neurons preferentially oxidize lactate present in the extracellular space rather than glucose to meet their energy demands (see the figure). The overall process has been designated the astrocyte-neuron lactate shuttle hypothesis (3). Despite growing interest in this hypothesis, there has not been a clear demonstration that activation of glycolysis (anaerobic glucose metabolism) in the cytoplasm and of oxidative phosphorylation (production of ATP) in the mitochondria are effectively segregated between astrocytes and neurons. On page 99 of this issue (4), Kasischke and co-workers now provide illuminating evidence to support this view.

Figure 1
Brain energetics in the limelight. Separate activation of oxidative phosphorylation (respiration) in neurons (brown) and glycolysis in astrocytes (gray), as revealed by two-photon fluorescence imaging of NADH (4). (1) Stimulation of excitatory (glutamatergic) neurons activates postsynaptic AMPA receptors and induces an excitatory postsynaptic potential (EPSP) in the dendritic spine of the neuron. (2) The depolarization propagates from the dendritic spine to the dendrite, where it may cause further opening of voltage-gated sodium channels and activation of the Na+/K+ ATPase, leading to an increased demand for energy (ATP). (3) In response, oxidative phosphorylation is rapidly activated, causing a decrease in mitochondrial NADH content (the so-called “dip” in the fluorescent signal). (4) Recovery of mitochondrial NADH in dendrites is accomplished by stimulation of the TCA cycle, fueled largely by lactate from the extracellular pool. (5) In parallel, but delayed in time, glutamate reuptake in astrocytes (gray) activates the glial Na+/K+ ATPase. (6) The increased energy demand leads to a strong enhancement of glycolysis in the cytoplasm of astrocytes, as indicated by the large increase in cytosolic NADH fluorescence (the so-called “overshoot”). (7) To maintain the high glycolytic flux, NAD+ must be regenerated via the conversion of pyruvate to lactate through the activity of the enzyme lactate dehydrogenase. Release of lactate into the extracellular space not only replenishes the extracellular pool, but also may sustain the late phase of neuronal activation. In vivo, glucose is delivered from the blood to both the extracellular space and to astrocytes (via astrocytic protrusions called end-feet that are in close contact with the blood vessel wall). AMPAR, alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptors; GLU, glutamate; LAC, lactate; PYR, pyruvate; TCA, tricarboxylic acid.CREDIT: LUC PELLERIN AND KATHARINE SUTLIFF/SCIENCE

These authors studied changes in NADH (the reduced form of nicotinamide adenine dinucleotide) in rat hippocampal slices using two-photon fluorescence imaging and confocal microscopy. Alterations in NADH concentration–the major contributor to the fluorescent signal–provide a signature of glycolysis or oxidative phosphorylation activity in the cytoplasm or mitochondria of astrocytes and neurons in the hippocampal brain slices (see the figure). With confocal microscopy, the authors were able to identify the fluorescent signal as emanating from either the cytoplasm or mitochondria of astrocytes or neurons.The authors stimulated the Schaffer collaterals of CA3 neurons in the hippocampal slices and monitored the intrinsic fluorescence signal in the CA1 hippocampal area. At low magnifications of the confocal microscope, the tissue presented a biphasic response: An initial “dip” in the NADH level followed by an “overshoot” that reproduced previous in vivo measurements. At higher magnifications, however, the authors were able to resolve both spatially and temporally the response in the two components. The early “dip” in the fluorescent signal and its recovery to baseline was restricted to the dendrites of neurons in a small area of the hippocampus. From the mitochondrial origin of the fluorescent signal, the authors deduced that the response represented first an increase in oxidative phosphorylation (respiration) in which NADH is consumed, followed by activation of the tricarboxylic acid (TCA) cycle to replenish NADH. In contrast, the late “overshoot” fluorescent signal was located in the cytoplasm of the processes of astrocytes. This signal corresponded to a strong activation of glycolysis in which large amounts of cytoplasmic NADH are generated before being converted back to NAD+ as lactate is produced. These two metabolic processes were not only segregated temporally and spatially, but could be also separated pharmacologically. The oxidative response in neuronal dendrites could be blocked by inhibiting the activation of AMPA/kainate receptors, indicating that the oxidative response was postsynaptic. The glycolytic response was not blocked by such treatment, indicating that it was most likely triggered by a presynaptic event. Overall, the data of Kasischke et al. provide strong evidence for the existence of an astrocyte-neuron lactate shuttle.

The elegant work of Kasischke and colleagues reconciles a number of contradictory results obtained with different brain imaging techniques in vivo. Their elegant technique combining imaging with confocal microscopy has provided results that answer the question of whether neuronal activity in the brain is supported by oxidative or nonoxidative metabolism (5). PET and certain other techniques require long sampling times to obtain a sufficient signal and so are more likely to detect long-lasting signals–such as the accumulation of fluorodeoxyglucose (FDG) in response to glucose uptake–rather than early or brief events such as the activation of cellular respiration. Consequently, images generated by FDG-PET primarily reflect astrocytic activity rather than neuronal activity, even though the activation of both cell types is correlated in the majority of cases. Similarly, magnetic resonance spectroscopy (MRS), which monitors changes in glucose and lactate levels with low temporal resolution, is more likely to reveal the late component of the metabolic response associated with astrocytes (6, 7). Thus, lactate “peaks” corresponding to an increase in lactate concentration were often reported in these studies. This would correspond to the enhanced glycolysis in astrocytes and its associated sustained production of lactate. In contrast, use of MRS with higher temporal resolution (8) or of biosensors (9) allows much faster sampling times enabling detection of the early lactate “dip.” The detected “dip” is consistent with the rapid activation of oxidative phosphorylation followed by lactate oxidation via the TCA cycle in neurons, before lactate production by astrocytes replenishes the extracellular lactate pool.

Although the present study clarifies a number of issues in both brain energetics and functional brain imaging, it also holds the promise of finding a solution to other unanswered questions. For example, the strategy of Kasischke et al. may resolve whether excitatory (glutamatergic) and inhibitory (GABAergic) activities have the same impact on brain energetics and elicit similar imaging signals. The remarkable findings of Kasischke and co-workers leave us eager to see the next answer that comes to light.

References

  1. L. Sokoloff et al., J. Neurochem. 28, 897 (1977) [Medline].
  2. L. Pellerin, P. J. Magistretti, Proc. Natl. Acad. Sci. U.S.A. 91, 10625 (1994) [Medline].
  3. P. J. Magistretti, L. Pellerin, D. L. Rothman, R. G. Shulman, Science 283, 496 (1999).
  4. K. A. Kasischke, H. D. Vishwasrao, P. J. Fisher, W. R. Zipfel, W. W. Webb, Science 305, 99 (2004).
  5. P. T. Fox, M. E. Raichle, M. A. Mintun, C. Dence, Science 241, 462 (1988) [Medline].
  6. J. Prichard et al., Proc. Natl. Acad. Sci. U.S.A. 88, 5829 (1991) [Medline].
  7. J. Frahm, G. Kruger, K. D. Merboldt, A. Kleinschmidt, Magn. Reson. Med. 35, 143 (1996) [Medline].
  8. S. Mangia et al., Neuroscience 118, 7 (2003) [Medline].
  9. Y. Hu, G. S. Wilson, J. Neurochem. 69, 1484 (1997) [Medline].



The authors are at the Institut de Physiologie, 1005 Lausanne, Switzerland. E-mail: luc.pellerin@iphysiol.unil.ch<!–
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kasischke-Webb,2004,science

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Karl A. Kasischke, Harshad D. Vishwasrao, Patricia J. Fisher, Warren R. Zipfel, and Watt W. Webb
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[DOI: 10.1126/science.1096485]

article, pdf:

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Huesmann-Clayton, 2006, neuron

Graham R. Huesmann and David F. Clayton

Dynamic Role of Postsynaptic Caspase-3 and BIRC4 in Zebra Finch Song-Response Habituation

Neuron 52, 1061–1072; 2006;

DOI 10.1016/j.neuron.2006.10.033

article, pdf:

huesmannand-clayton2006_neuron

the new nomenclature for avian telencephalon (2004)


the nomenclature for avian telencephalon and some related brainstem nuclei has been revised

Reiner et al., JCN 473:377-414, 2004 :

pdf:

reiner_2004

——

http://avianbrain.org/new_terminology.html