Literature DB >> 11116095

The mouse brain transcriptome by SAGE: differences in gene expression between P30 brains of the partial trisomy 16 mouse model of Down syndrome (Ts65Dn) and normals.

R Chrast1, H S Scott, M P Papasavvas, C Rossier, E S Antonarakis, C Barras, M T Davisson, C Schmidt, X Estivill, M Dierssen, M Pritchard, S E Antonarakis.   

Abstract

Trisomy 21, or Down syndrome (DS), is the most common genetic cause of mental retardation. Changes in the neuropathology, neurochemistry, neurophysiology, and neuropharmacology of DS patients' brains indicate that there is probably abnormal development and maintenance of central nervous system structure and function. The segmental trisomy mouse (Ts65Dn) is a model of DS that shows analogous neurobehavioral defects. We have studied the global gene expression profiles of normal and Ts65Dn male and normal female mice brains (P30) using the serial analysis of gene expression (SAGE) technique. From the combined sample we collected a total of 152,791 RNA tags and observed 45,856 unique tags in the mouse brain transcriptome. There are 14 ribosomal protein genes (nine under expressed) among the 330 statistically significant differences between normal male and Ts65Dn male brains, which possibly implies abnormal ribosomal biogenesis in the development and maintenance of DS phenotypes. This study contributes to the establishment of a mouse brain transcriptome and provides the first overall analysis of the differences in gene expression in aneuploid versus normal mammalian brain cells.

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Year:  2000        PMID: 11116095      PMCID: PMC313062          DOI: 10.1101/gr.10.12.2006

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  42 in total

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Journal:  Nature       Date:  2000-05-18       Impact factor: 49.962

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Journal:  J Neurochem       Date:  1999-04       Impact factor: 5.372

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Journal:  Cancer Res       Date:  1999-11-01       Impact factor: 12.701

7.  Discovery and genetic localization of Down syndrome cerebellar phenotypes using the Ts65Dn mouse.

Authors:  L L Baxter; T H Moran; J T Richtsmeier; J Troncoso; R H Reeves
Journal:  Hum Mol Genet       Date:  2000-01-22       Impact factor: 6.150

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Journal:  Nature       Date:  1985 Oct 10-16       Impact factor: 49.962

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Journal:  Am J Hum Genet       Date:  1979-07       Impact factor: 11.025

10.  The gene encoding ribosomal protein S19 is mutated in Diamond-Blackfan anaemia.

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Journal:  Nat Genet       Date:  1999-02       Impact factor: 38.330

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  32 in total

1.  Identification and prevention of a GC content bias in SAGE libraries.

Authors:  E H Margulies; S L Kardia; J W Innis
Journal:  Nucleic Acids Res       Date:  2001-06-15       Impact factor: 16.971

2.  A comparative molecular analysis of developing mouse forelimbs and hindlimbs using serial analysis of gene expression (SAGE).

Authors:  E H Margulies; S L Kardia; J W Innis
Journal:  Genome Res       Date:  2001-10       Impact factor: 9.043

3.  The Arabidopsis root transcriptome by serial analysis of gene expression. Gene identification using the genome sequence.

Authors:  Cécile Fizames; Stéphane Muños; Céline Cazettes; Philippe Nacry; Jossia Boucherez; Frédéric Gaymard; David Piquemal; Valérie Delorme; Thérèse Commes; Patrick Doumas; Richard Cooke; Jacques Marti; Hervé Sentenac; Alain Gojon
Journal:  Plant Physiol       Date:  2004-01       Impact factor: 8.340

4.  Quantitative assessment of transcriptome differences between brain territories.

Authors:  Michel de Chaldée; Marie-Claude Gaillard; Nicolas Bizat; Jean-Marie Buhler; Olivier Manzoni; Joël Bockaert; Philippe Hantraye; Emmanuel Brouillet; Jean-Marc Elalouf
Journal:  Genome Res       Date:  2003-07       Impact factor: 9.043

5.  Gene expression from the aneuploid chromosome in a trisomy mouse model of down syndrome.

Authors:  Robert Lyle; Corinne Gehrig; Charlotte Neergaard-Henrichsen; Samuel Deutsch; Stylianos E Antonarakis
Journal:  Genome Res       Date:  2004-07       Impact factor: 9.043

6.  A comparative analysis of transcribed genes in the mouse hypothalamus and neocortex reveals chromosomal clustering.

Authors:  Wee-Ming Boon; Tim Beissbarth; Lavinia Hyde; Gordon Smyth; Jenny Gunnersen; Derek A Denton; Hamish Scott; Seong-Seng Tan
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-04       Impact factor: 11.205

7.  Serial analysis of gene expression study of a hybrid rice strain (LYP9) and its parental cultivars.

Authors:  JingYue Bao; Sanggyu Lee; Chen Chen; XiuQing Zhang; Yu Zhang; SiQi Liu; Terry Clark; Jian Wang; MengLiang Cao; HuanMing Yang; San Ming Wang; Jun Yu
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

8.  Genotype-phenotype correlations in Down syndrome identified by array CGH in 30 cases of partial trisomy and partial monosomy chromosome 21.

Authors:  Robert Lyle; Frédérique Béna; Sarantis Gagos; Corinne Gehrig; Gipsy Lopez; Albert Schinzel; James Lespinasse; Armand Bottani; Sophie Dahoun; Laurence Taine; Martine Doco-Fenzy; Pascale Cornillet-Lefèbvre; Anna Pelet; Stanislas Lyonnet; Annick Toutain; Laurence Colleaux; Jürgen Horst; Ingo Kennerknecht; Nobuaki Wakamatsu; Maria Descartes; Judy C Franklin; Lina Florentin-Arar; Sophia Kitsiou; Emilie Aït Yahya-Graison; Maher Costantine; Pierre-Marie Sinet; Jean M Delabar; Stylianos E Antonarakis
Journal:  Eur J Hum Genet       Date:  2008-11-12       Impact factor: 4.246

9.  The intellectual disability of trisomy 21: differences in gene expression in a case series of patients with lower and higher IQ.

Authors:  André Mégarbané; Florian Noguier; Samantha Stora; Laurent Manchon; Clotilde Mircher; Roman Bruno; Nathalie Dorison; Fabien Pierrat; Marie-Odile Rethoré; Bernadette Trentin; Aimé Ravel; Marine Morent; Gerard Lefranc; David Piquemal
Journal:  Eur J Hum Genet       Date:  2013-02-20       Impact factor: 4.246

10.  A new mouse model for the trisomy of the Abcg1-U2af1 region reveals the complexity of the combinatorial genetic code of down syndrome.

Authors:  Patricia Lopes Pereira; Laetitia Magnol; Ignasi Sahún; Véronique Brault; Arnaud Duchon; Paola Prandini; Agnès Gruart; Jean-Charles Bizot; Bernadette Chadefaux-Vekemans; Samuel Deutsch; Fabrice Trovero; José María Delgado-García; Stylianos E Antonarakis; Mara Dierssen; Yann Herault
Journal:  Hum Mol Genet       Date:  2009-09-26       Impact factor: 6.150

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