Gene expression profiling and identification of resistance genes to low temperature in leaves of peanut (Arachis hypogaea L.)

2014 ◽  
Vol 169 ◽  
pp. 214-225 ◽  
Author(s):  
Na Chen ◽  
Qingli Yang ◽  
Dongqing Hu ◽  
Lijuan Pan ◽  
Xiaoyuan Chi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Low Temperature ◽  
Gene Expression Profiling ◽  
Arachis Hypogaea ◽  
Resistance Genes ◽  
Expression Profiling ◽  
Arachis Hypogaea L

Gene expression profiling of the unfed nymphal Dermacentor silvarum (Acari: Ixodidae) in response to low temperature

2017 ◽  
Vol 22 (12) ◽  
pp. 2178 ◽  
Author(s):  
Zhijun Yu ◽  
Qingying Jia ◽  
Tianhong Wang ◽  
Na Dong ◽  
Xiaolong Yang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Low Temperature ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Function Analysis ◽  
Temperature Treatment ◽  
Differentially Expressed ◽  
Kegg Pathways ◽  
Low Temperature Treatment ◽  
Clusters Of Orthologous Groups

The tick Dermacentor silvarum is recognized as an emerging vector of marked medical and veterinary significance. The current study investigated the gene expression profiling of the unfed nymphal D. silvarum in response to low temperature using high-throughput transcriptome sequencing. A total of approximately 12-giga base pairs were produced, which yielded 87,500 unigenes, and among them, 29,815 unigenes were successfully annotated by all available databases (NCBI nonredundant, Swissprot, UniProtKB/TrEMBL, the clusters of orthologous groups databases, the Kyoto encyclopedia of genes and genomes database, and pfam database). After low temperature treatment (4°C for 10 days), 2,241 genes, including 1,160 up-regulated and 1,081 down-regulated genes, were differentially expressed. The differentially expressed genes were further enriched to GO terms and KEGG pathways, and our results showed that 133 genes were enriched in molecular function, 90 genes were enriched in cellular components, 107 genes were enriched in biological processes and 202 genes were assigned into different KEGG pathways. This study establishes a molecular basis for gene function analysis in the tick D. silvarum, and will provide theoretical information for mechanistic studies on the overwintering adaptations of ticks. 

scholarly journals Gene Expression Profiling and Identification of Resistance Genes to Aspergillus flavus Infection in Peanut through EST and Microarray Strategies

Toxins ◽  
2011 ◽  
Vol 3 (7) ◽  
pp. 737-753 ◽  
Author(s):  
Baozhu Guo ◽  
Natalie D. Fedorova ◽  
Xiaoping Chen ◽  
Chun-Hua Wan ◽  
Wei Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Aspergillus Flavus ◽  
Resistance Genes ◽  
Expression Profiling

Custom microarray for glycobiologists: considerations for glycosyltransferase gene expression profiling

2002 ◽  
Vol 69 ◽  
pp. 135-142 ◽  
Author(s):  
Elena M. Comelli ◽  
Margarida Amado ◽  
Steven R. Head ◽  
James C. Paulson
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Affymetrix Genechip ◽  
Microarray Technology ◽  
Gene Arrays ◽  
Glycosyltransferase Gene

The development of microarray technology offers the unprecedented possibility of studying the expression of thousands of genes in one experiment. Its exploitation in the glycobiology field will eventually allow the parallel investigation of the expression of many glycosyltransferases, which will ultimately lead to an understanding of the regulation of glycoconjugate synthesis. While numerous gene arrays are available on the market, e.g. the Affymetrix GeneChip® arrays, glycosyltransferases are not adequately represented, which makes comprehensive surveys of their gene expression difficult. This chapter describes the main issues related to the establishment of a custom glycogenes array.

278: Gene Expression Profiling of Prostatic Epithelial Cells in Two-Dimensional Versus Three-Dimensional Cultures

2007 ◽  
Vol 177 (4S) ◽  
pp. 93-93
Author(s):  
Toshiyuki Tsunoda ◽  
Junichi Inocuchi ◽  
Darren Tyson ◽  
Seiji Naito ◽  
David K. Ornstein
Keyword(s):  
Gene Expression ◽  
Epithelial Cells ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Three Dimensional ◽  
Two Dimensional

748: Gene Expression Profiling of Renal Medullary Carcinoma

2004 ◽  
Vol 171 (4S) ◽  
pp. 198-199 ◽  
Author(s):  
Ximing J. Yang ◽  
Jun Sugimura ◽  
Maria S. Tretiakova ◽  
Bin T. Teh
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Medullary Carcinoma ◽  
Renal Medullary Carcinoma
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