Short- and long-term gene expression profiles induced by inhaled TiO2 nanostructured aerosol in rat lung

2018 ◽  
Vol 356 ◽  
pp. 54-64 ◽  
Author(s):  
Laëtitia Chézeau ◽  
Sylvie Sébillaud ◽  
Ramia Safar ◽  
Carole Seidel ◽  
Doulaye Dembélé ◽  
...  
Author(s):  
Zhenhua Dang ◽  
Yuanyuan Jia ◽  
Yunyun Tian ◽  
Jiabin Li ◽  
Yanan Zhang ◽  
...  

Organisms have evolved effective and distinct adaptive strategies to survive. Stipa grandis is one of the widespread dominant species on the typical steppe of the Inner Mongolian Plateau, and is regarded as a suitable species for studying the effects of grazing in this region. Although phenotypic (morphological and physiological) variations in S. grandis in response to long-term grazing have been identified, the molecular mechanisms underlying adaptations and plastic responses remain largely unknown. Accordingly, we performed a transcriptomic analysis to investigate changes in gene expression of S. grandis under four different grazing intensities. A total of 2,357 differentially expressed genes (DEGs) were identified among the tested grazing intensities, suggesting long-term grazing resulted in gene expression plasticity that affected diverse biological processes and metabolic pathways in S. grandis. DEGs were identified that indicated modulation of Calvin–Benson cycle and photorespiration metabolic pathways. The key gene´expression profiles encoding various proteins (e.g., Ribulose-1,5-bisphosphate carboxylase/oxygenase, fructose-1,6-bisphosphate aldolase, glycolate oxidase etc.) involved in these pathways suggest that they may synergistically respond to grazing to increase the resilience and stress tolerance of S. grandis. Our findings provide scientific clues for improving grassland use and protection, and identify important questions to address in future transcriptome studies.


2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Sun Young Lee ◽  
Yong Kwang Park ◽  
Cheol-Hee Yoon ◽  
Kisoon Kim ◽  
Kyung-Chang Kim

2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Suyan Tian ◽  
Lei Zhang

Multiple sclerosis (MS) is a common neurological disability of the central nervous system. Immune-modulatory therapy with interferon-β (IFN-β) has been used as a first-line treatment to prevent relapses in MS patients. While the therapeutic mechanism of IFN-β has not been fully elucidated, the data of microarray experiments that collected longitudinal gene expression profiles to evaluate the long-term response of IFN-β treatment have been analyzed using statistical methods that were incapable of dealing with such data. In this study, the GeneRank method was applied to generate weighted gene expression values and the monotonically expressed genes (MEGs) for both IFN-β treatment responders and nonresponders were identified. The proposed procedure identified 13 MEGs for the responders and 2 MEGs for the nonresponders, most of which are biologically relevant to MS. Our work here provides some useful insight into the mechanism of IFN-β treatment for MS patients. A full understanding of the therapeutic mechanism will enable a more personalized treatment strategy possible.


2009 ◽  
Vol 113 (3-5) ◽  
pp. 296-303 ◽  
Author(s):  
Frank Josef Möller ◽  
Oliver Zierau ◽  
Torsten Hertrampf ◽  
Anja Bliedtner ◽  
Patrick Diel ◽  
...  

Gene ◽  
2004 ◽  
Vol 340 (1) ◽  
pp. 99-109 ◽  
Author(s):  
Sujong Kim ◽  
Insuk Sohn ◽  
Joon-Ik Ahn ◽  
Ki-Hwan Lee ◽  
Yeon Sook Lee ◽  
...  

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