scholarly journals Statistical power of Fisher test for the detection of short periodic gene expression profiles

2009 ◽  
Vol 42 (4) ◽  
pp. 549-556 ◽  
Author(s):  
Alan Wee-Chung Liew ◽  
Ngai-Fong Law ◽  
Xiao-Qin Cao ◽  
Hong Yan
Genetics ◽  
2008 ◽  
Vol 180 (2) ◽  
pp. 821-834 ◽  
Author(s):  
Bong-Rae Kim ◽  
Li Zhang ◽  
Arthur Berg ◽  
Jianqing Fan ◽  
Rongling Wu

2000 ◽  
Vol 151 (7) ◽  
pp. 1501-1512 ◽  
Author(s):  
Matthew Lord ◽  
Melody C. Yang ◽  
Michelle Mischke ◽  
John Chant

Genomic studies in yeast have revealed that one eighth of genes are cell cycle regulated in their expression. Almost without exception, the significance of cell cycle periodic gene expression has not been tested. Given that many such genes are critical to cellular morphogenesis, we wanted to examine the importance of periodic gene expression to this process. The expression profiles of two genes required for the axial pattern of cell division, BUD3 and BUD10/AXL2/SRO4, are strongly cell cycle regulated. BUD3 is expressed close to the onset of mitosis. BUD10 is expressed in late G1. Through promotor-swap experiments, the expression profile of each gene was altered and the consequences examined. We found that an S/G2 pulse of BUD3 expression controls the timing of Bud3p localization, but that this timing is not critical to Bud3p function. In contrast, a G1 pulse of BUD10 expression plays a direct role in Bud10p localization and function. Bud10p, a membrane protein, relies on the polarized secretory machinery specific to G1 to be delivered to its proper location. Such a secretion-based targeting mechanism for membrane proteins provides cells with flexibility in remodeling their architecture or evolving new forms.


2014 ◽  
Vol 11 (92) ◽  
pp. 20130950 ◽  
Author(s):  
Guini Hong ◽  
Wenjing Zhang ◽  
Hongdong Li ◽  
Xiaopei Shen ◽  
Zheng Guo

Two strategies are often adopted for enrichment analysis of pathways: the analysis of all differentially expressed (DE) genes together or the analysis of up- and downregulated genes separately. However, few studies have examined the rationales of these enrichment analysis strategies. Using both microarray and RNA-seq data, we show that gene pairs with functional links in pathways tended to have positively correlated expression levels, which could result in an imbalance between the up- and downregulated genes in particular pathways. We then show that the imbalance could greatly reduce the statistical power for finding disease-associated pathways through the analysis of all-DE genes. Further, using gene expression profiles from five types of tumours, we illustrate that the separate analysis of up- and downregulated genes could identify more pathways that are really pertinent to phenotypic difference. In conclusion, analysing up- and downregulated genes separately is more powerful than analysing all of the DE genes together.


2004 ◽  
Vol 171 (4S) ◽  
pp. 349-350
Author(s):  
Gaelle Fromont ◽  
Michel Vidaud ◽  
Alain Latil ◽  
Guy Vallancien ◽  
Pierre Validire ◽  
...  

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