scholarly journals Identification of differentially expressed cDNAs in Acanthamoeba culbertsoni after mouse brain passage

2006 ◽  
Vol 44 (1) ◽  
pp. 15 ◽  
Author(s):  
Kyu-Lee Han ◽  
Jongweon Lee ◽  
Don-Soo Kim ◽  
Soon-Jung Park ◽  
Kyung-il Im ◽  
...  
Keyword(s):  
Mouse Brain ◽  
Differentially Expressed ◽  
Acanthamoeba Culbertsoni

Smad2 isoforms are differentially expressed during mouse brain development and aging

2009 ◽  
Vol 27 (5) ◽  
pp. 501-510 ◽  
Author(s):  
Uwe Ueberham ◽  
Peggy Lange ◽  
Elke Ueberham ◽  
Martina K. Brückner ◽  
Maike Hartlage‐Rübsamen ◽  
...  
Keyword(s):  
Brain Development ◽  
Mouse Brain ◽  
Differentially Expressed ◽  
Development And Aging ◽  
Mouse Brain Development

Glypicans are differentially expressed during patterning and neurogenesis of early mouse brain

2007 ◽  
Vol 352 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Guillaume Luxardi ◽  
Antonella Galli ◽  
Sylvie Forlani ◽  
Kirstie Lawson ◽  
Flavio Maina ◽  
...  
Keyword(s):  
Mouse Brain ◽  
Differentially Expressed ◽  
Early Mouse

Dystrophin Dp71 Isoforms Are Differentially Expressed in the Mouse Brain and Retina: Report of New Alternative Splicing and a Novel Nomenclature for Dp71 Isoforms

2017 ◽  
Vol 55 (2) ◽  
pp. 1376-1386 ◽  
Author(s):  
Jorge Aragón ◽  
Mayram González-Reyes ◽  
José Romo-Yáñez ◽  
Ophélie Vacca ◽  
Guadalupe Aguilar-González ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Mouse Brain ◽  
Differentially Expressed

scholarly journals LINGO family receptors are differentially expressed in the mouse brain and form native multimeric complexes

2020 ◽  
Vol 34 (10) ◽  
pp. 13641-13653
Author(s):  
Anthony Guillemain ◽  
Yousra Laouarem ◽  
Laetitia Cobret ◽  
Dora Štefok ◽  
Wanyin Chen ◽  
...  
Keyword(s):  
Mouse Brain ◽  
Differentially Expressed

A simple pattern classification method for alcohol-responsive proteins that are differentially expressed in mouse brain

PROTEOMICS ◽  
2004 ◽  
Vol 4 (11) ◽  
pp. 3369-3375 ◽  
Author(s):  
Bokyung Park ◽  
Seul-Ki Jeong ◽  
Won-Suk Lee ◽  
Je Kyung Seong ◽  
Young-Ki Paik
Keyword(s):  
Mouse Brain ◽  
Pattern Classification ◽  
Differentially Expressed ◽  
Classification Method ◽  
Simple Pattern

scholarly journals A Markov random field-based approach for joint estimation of differentially expressed genes in mouse transcriptome data

2016 ◽  
Vol 15 (2) ◽  
Author(s):  
Zhixiang Lin ◽  
Mingfeng Li ◽  
Nenad Sestan ◽  
Hongyu Zhao
Keyword(s):  
Random Field ◽  
Differentially Expressed Genes ◽  
Mouse Brain ◽  
Markov Random Field ◽  
Differentially Expressed ◽  
Model Parameters ◽  
Rna Seq ◽  
Marginal Analysis ◽  
Data Set ◽  
Markov Random

AbstractThe statistical methodology developed in this study was motivated by our interest in studying neurodevelopment using the mouse brain RNA-Seq data set, where gene expression levels were measured in multiple layers in the somatosensory cortex across time in both female and male samples. We aim to identify differentially expressed genes between adjacent time points, which may provide insights on the dynamics of brain development. Because of the extremely small sample size (one male and female at each time point), simple marginal analysis may be underpowered. We propose a Markov random field (MRF)-based approach to capitalizing on the between layers similarity, temporal dependency and the similarity between sex. The model parameters are estimated by an efficient EM algorithm with mean field-like approximation. Simulation results and real data analysis suggest that the proposed model improves the power to detect differentially expressed genes than simple marginal analysis. Our method also reveals biologically interesting results in the mouse brain RNA-Seq data set.

scholarly journals Novel MicroRNAs Differentially Expressed during Aging in the Mouse Brain

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e40028 ◽  
Author(s):  
Sachi Inukai ◽  
Alexandre de Lencastre ◽  
Michael Turner ◽  
Frank Slack
Keyword(s):  
Mouse Brain ◽  
Differentially Expressed

Genes differentially expressed in the kindled mouse brain

2001 ◽  
Vol 96 (1-2) ◽  
pp. 94-102 ◽  
Author(s):  
Dong Liang ◽  
Thomas N Seyfried
Keyword(s):  
Mouse Brain ◽  
Differentially Expressed
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