Zebrafish or Danio rerio: A New Model in Nanotoxicology Study

DNA methylation and genome imprinting in the zebrafish, Danio rerio: some evolutionary ramifications

Biochemistry and Cell Biology ◽

10.1139/o97-070 ◽

1997 ◽

Vol 75 (5) ◽

pp. 499-506 ◽

Cited By ~ 33

Author(s):

R A McGowan ◽

C C Martin

Keyword(s):

Dna Methylation ◽

Genomic Imprinting ◽

Danio Rerio ◽

Epigenetic Modification ◽

Model System ◽

Developmental Model ◽

Genetic Contribution ◽

New Model ◽

Complete Development ◽

Males And Females

Although methylation has been recognized as an important component in a number of developmental processes in mammals, in zebrafish almost nothing is known about this epigenetic modification. This is despite the fact that the zebrafish is becoming increasingly popular as a developmental model system. The little work that has been done on methylation and development in fish concerns genomic imprinting. In mammals, imprinting results in an inability to reproduce parthenogenetically because a genetic contribution from both parents is necessary to successfully complete development. However, this is not true of zebrafish, and a number of the theories that have been presented to explain the evolution of imprinting are not consistent with imprinting in these fish. A new model is presented that discusses some of the potential evolutionary ramifications of methylation and imprinting and that leads to the suggestion that imprinting may actually be a simple genetic mechanism to enhance the efficient evolution of both individual genetic loci and combinations of loci with related functions, without risking the population as a whole. This model can accommodate all of the information known about imprinting, including its broad phylogenetic range, imprinting by both males and females, and the diverse nature of the genes that are known to be imprinted.

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The Hitachi Model HS-8 Electron Microscope

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100061203 ◽

1967 ◽

Vol 25 ◽

pp. 238-239

Author(s):

H. Akabori ◽

K. Nishiwaki ◽

K. Yoneta

Keyword(s):

Electron Microscope ◽

New Model ◽

Predecessor Model

By improving the predecessor Model HS- 7 electron microscope for the purpose of easier operation, we have recently completed new Model HS-8 electron microscope featuring higher performance and ease of operation.

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516: A Simplified Method to Estimate the Absolute Renal Uptake of 99MTC-DMSA: Evaluation with a New Model using the Radioactivity of Nephrectomy Specimens as Reference

The Journal of Urology ◽

10.1016/s0022-5347(18)34756-6 ◽

2005 ◽

Vol 173 (4S) ◽

pp. 140-141

Author(s):

Mariana Lima ◽

Celso D. Ramos ◽

Sérgio Q. Brunetto ◽

Marcelo Lopes de Lima ◽

Carla R.M. Sansana ◽

...

Keyword(s):

New Model ◽

Renal Uptake ◽

Simplified Method ◽

The Absolute

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476 Chronic left atrial volume and pressure overload in the goat: a new model of sustained atrial fibrillation

EP Europace ◽

10.1016/s1099-5129(05)80314-9 ◽

2005 ◽

Vol 7 ◽

pp. 107-107

Keyword(s):

Atrial Fibrillation ◽

Left Atrial ◽

Pressure Overload ◽

Left Atrial Volume ◽

Atrial Volume ◽

New Model

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Analyzing Stochastic Dependence of Cognitive Processes in Multidimensional Source Recognition

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000261 ◽

2014 ◽

Vol 61 (5) ◽

pp. 402-415 ◽

Cited By ~ 9

Author(s):

Thorsten Meiser

Keyword(s):

Cognitive Processes ◽

Model Complexity ◽

Multinomial Model ◽

Stochastic Dependence ◽

New Model ◽

Multinomial Processing Tree ◽

Cognitive States ◽

The Family ◽

Tree Models ◽

Flexible Framework

Stochastic dependence among cognitive processes can be modeled in different ways, and the family of multinomial processing tree models provides a flexible framework for analyzing stochastic dependence among discrete cognitive states. This article presents a multinomial model of multidimensional source recognition that specifies stochastic dependence by a parameter for the joint retrieval of multiple source attributes together with parameters for stochastically independent retrieval. The new model is equivalent to a previous multinomial model of multidimensional source memory for a subset of the parameter space. An empirical application illustrates the advantages of the new multinomial model of joint source recognition. The new model allows for a direct comparison of joint source retrieval across conditions, it avoids statistical problems due to inflated confidence intervals and does not imply a conceptual imbalance between source dimensions. Model selection criteria that take model complexity into account corroborate the new model of joint source recognition.

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