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 ◽  
...  
1993 ◽  
Vol 197 (3) ◽  
pp. 227-237 ◽  
Author(s):  
Michael Schoor ◽  
Karin Schuster-Gossler ◽  
Achim Gossler

2009 ◽  
Vol 27 (5) ◽  
pp. 501-510 ◽  
Author(s):  
Uwe Ueberham ◽  
Peggy Lange ◽  
Elke Ueberham ◽  
Martina K. Brückner ◽  
Maike Hartlage‐Rübsamen ◽  
...  

2010 ◽  
Vol 28 (6) ◽  
pp. 784-789 ◽  
Author(s):  
Barbara Blasiak ◽  
Boguslaw Tomanek ◽  
Abedelnasser Abulrob ◽  
Umar Iqbal ◽  
Danica Stanimirovic ◽  
...  
Keyword(s):  

2006 ◽  
Vol 44 (1) ◽  
pp. 15 ◽  
Author(s):  
Kyu-Lee Han ◽  
Jongweon Lee ◽  
Don-Soo Kim ◽  
Soon-Jung Park ◽  
Kyung-il Im ◽  
...  

2017 ◽  
Vol 55 (2) ◽  
pp. 1376-1386 ◽  
Author(s):  
Jorge Aragón ◽  
Mayram González-Reyes ◽  
José Romo-Yáñez ◽  
Ophélie Vacca ◽  
Guadalupe Aguilar-González ◽  
...  

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

PROTEOMICS ◽  
2004 ◽  
Vol 4 (11) ◽  
pp. 3369-3375 ◽  
Author(s):  
Bokyung Park ◽  
Seul-Ki Jeong ◽  
Won-Suk Lee ◽  
Je Kyung Seong ◽  
Young-Ki Paik

Author(s):  
Zhixiang Lin ◽  
Mingfeng Li ◽  
Nenad Sestan ◽  
Hongyu Zhao

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.


2001 ◽  
Vol 29 (2) ◽  
pp. 177-181 ◽  
Author(s):  
S. Guimond ◽  
K. Turner ◽  
M. Kita ◽  
M. Ford-Perriss ◽  
J. Turnbull

Over recent years our understanding of the functions of the heparan sulphate (HS) family of complex polysaccharides has shifted dramatically. Once seen as simply structural scaffolding in the extracellular matrix, they are now viewed as critical players in the regulatory network of cells. They are strategically located at the cell surface and in the extracellular matrix, and there has been an increasing realization that specific sequences in the HS chains are designed for selective interactions with many proteins. Functionally, these interactions result in regulation of the protein activities. It is becoming clear that HS functions as a new class of multifunctional cell regulator. There is also growing evidence that cells can dynamically alter the structure of HS sequences that they express. Here we review recent developments and describe evidence for regulated changes in the synthesis and structure of HS chains expressed during early mouse brain development. The data suggest a new concept in which dynamic changes in biosynthesis of different HS sequences create distinct cellular HS repertoires, the heparanome [1]. Their expression, in specific spatio-temporal patterns, is likely to endow organisms with novel regulatory mechanisms for controlling the activity of specific HS-binding proteins.


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