scholarly journals Global Analysis of Gene Expression Profiles in Brassica napus Developing Seeds Reveals a Conserved Lipid Metabolism Regulation with Arabidopsis thaliana

2009 ◽  
Vol 2 (5) ◽  
pp. 1107-1122 ◽  
Author(s):  
Ya Niu ◽  
Guo-Zhang Wu ◽  
Rui Ye ◽  
Wen-Hui Lin ◽  
Qiu-Ming Shi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Arabidopsis Thaliana ◽  
Lipid Metabolism ◽  
Brassica Napus ◽  
Expression Profiles ◽  
Global Analysis ◽  
Gene Expression Profiles ◽  
Developing Seeds ◽  
Metabolism Regulation

Isolation stress for 30 days alters hepatic gene expression profiles, especially with reference to lipid metabolism in mice

2009 ◽  
Vol 37 (2) ◽  
pp. 79-87 ◽  
Author(s):  
Keiko Motoyama ◽  
Yuji Nakai ◽  
Tomoya Miyashita ◽  
Yuichiro Fukui ◽  
Maki Morita ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lipid Metabolism ◽  
Dna Microarray ◽  
Social Stress ◽  
Secretory Pathway ◽  
Expression Profiles ◽  
Regulatory Element ◽  
Gene Expression Profiles ◽  
Hepatic Gene Expression ◽  
Isolation Stress

To elucidate the physiological responses to a social stressor, we exposed mice to an isolation stress and analyzed their hepatic gene expression profiles using a DNA microarray. Male BALB/c mice were exposed to isolation stress for 30 days, and then hepatic RNA was sampled and subjected to DNA microarray analysis. The isolation stress altered the expression of 420 genes (after considering the false discovery rate). Gene Ontology analysis of these differentially expressed genes indicated that the stress remarkably downregulated the lipid metabolism-related pathway through peroxisome proliferator-activated receptor-α, while the lipid biosynthesis pathway controlled by sterol regulatory element binding factor 1, Golgi vesicle transport, and secretory pathway-related genes were significantly upregulated. These results suggest that isolation for 30 days with a mild and consecutive social stress regulates the systems for lipid metabolism and also causes endoplasmic reticulum stress in mouse liver.

Gene expression profiles associated with intersubgenomic heterosis in Brassica napus

2008 ◽  
Vol 117 (7) ◽  
pp. 1031-1040 ◽  
Author(s):  
Xin Chen ◽  
Maoteng Li ◽  
Jiaqin Shi ◽  
Donghui Fu ◽  
Wei Qian ◽  
...  
Keyword(s):  
Gene Expression ◽  
Brassica Napus ◽  
Expression Profiles ◽  
Gene Expression Profiles

scholarly journals Gene Expression Profiling of the Human Maternal-Fetal Interface Reveals Dramatic Changes between Midgestation and Term

Endocrinology ◽  
2007 ◽  
Vol 148 (3) ◽  
pp. 1059-1079 ◽  
Author(s):  
Virginia D. Winn ◽  
Ronit Haimov-Kochman ◽  
Agnes C. Paquet ◽  
Y. Jean Yang ◽  
M. S. Madhusudhan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Global Analysis ◽  
Tumor Biology ◽  
Gene Expression Profiles ◽  
Normal Pregnancy ◽  
Differentially Expressed ◽  
Basal Plate ◽  
Specialized Region ◽  
Maternal Fetal Interface

Human placentation entails the remarkable integration of fetal and maternal cells into a single functional unit. In the basal plate region (the maternal-fetal interface) of the placenta, fetal cytotrophoblasts from the placenta invade the uterus and remodel the resident vasculature and avoid maternal immune rejection. Knowing the molecular bases for these unique cell-cell interactions is important for understanding how this specialized region functions during normal pregnancy with implications for tumor biology and transplantation immunology. Therefore, we undertook a global analysis of the gene expression profiles at the maternal-fetal interface. Basal plate biopsy specimens were obtained from 36 placentas (14–40 wk) at the conclusion of normal pregnancies. RNA was isolated, processed, and hybridized to HG-U133A&B Affymetrix GeneChips. Surprisingly, there was little change in gene expression during the 14- to 24-wk interval. In contrast, 418 genes were differentially expressed at term (37–40 wk) as compared with midgestation (14–24 wk). Subsequent analyses using quantitative PCR and immunolocalization approaches validated a portion of these results. Many of the differentially expressed genes are known in other contexts to be involved in differentiation, motility, transcription, immunity, angiogenesis, extracellular matrix dissolution, or lipid metabolism. One sixth were nonannotated or encoded hypothetical proteins. Modeling based on structural homology revealed potential functions for 31 of these proteins. These data provide a reference set for understanding the molecular components of the dialogue taking place between maternal and fetal cells in the basal plate as well as for future comparisons of alterations in this region that occur in obstetric complications.

The Impact of Gene Expression Microarrays in the Evaluation of Lung Carcinoma Subtypes and DNA Copy Number

2008 ◽  
Vol 132 (10) ◽  
pp. 1562-1565
Author(s):  
Montserrat Sanchez-Cespedes
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Gene Amplification ◽  
Genetic Background ◽  
Expression Profiles ◽  
Global Analysis ◽  
Tumor Development ◽  
Gene Expression Profiles ◽  
Molecular Alterations ◽  
The Impact

Abstract Context.—The development of targeted therapies creates a need to accurately classify tumors. Among the more pressing needs are the identification of the complete catalog of genes that are altered in cancer and the accurate discrimination of tumors based on their genetic background. Objectives.—To discuss the use of gene expression profiles to recapitulate the pathology and to distinguish the genetic background of non–small cell lung cancer. Also, to comment on using global analysis of gene expression to identify chromosomal regions carrying clusters of highly expressed genes, likely due to gene amplification. Gene amplification at these regions may target the activation of an oncogene critical to tumor development and potentially important in therapy. Data Sources.—Review of relevant, recent literature on molecular alterations and expression analysis in lung cancer. Conclusions.—The complexity of genetic and epigenetic alterations and the cell type of origin confer marked patterns of gene expression to lung tumors, which differentiate different tumor entities.

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