scholarly journals Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineering

2008 ◽  
Vol 18 (6) ◽  
pp. 939-948 ◽  
Author(s):  
G. Della Gatta ◽  
M. Bansal ◽  
A. Ambesi-Impiombato ◽  
D. Antonini ◽  
C. Missero ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Reverse Engineering ◽  
Gene Expression Profiling ◽  
Expression Profiling

scholarly journals Gene expression profiling reveals subgenome dominance during Brassica napus seed development

2020 ◽  
Author(s):  
Deirdre Khan ◽  
Dylan J. Ziegler ◽  
Jenna L. Kalichuk ◽  
Vanessa Hoi ◽  
Nina Hyunh ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Brassica Napus ◽  
Gene Expression Profiling ◽  
Rna Sequencing ◽  
Seed Development ◽  
Seed Coat ◽  
Expression Profiling ◽  
Early Stage ◽  
Transcriptional Networks

AbstractWe profiled the gene regulatory landscape of Brassica napus reproductive development using RNA sequencing. Comparative analysis of this nascent amphidiploid across the plant lifecycle revealed the contribution of each subgenome to plant reproduction. Global mRNA profiling revealed lower accumulation of Cn subgenome transcripts relative to the An subgenome. Subgenome-specific transcriptional networks identified distinct transcription factor families enriched in each of the An and Cn subgenome early in seed development. Global gene expression profiling of laser-microdissected seed subregions further reveal subgenome expression dynamics in the embryo, endosperm, and seed coat of early stage seeds. Transcription factors predicted to be regulators encoded by the An subgenome are expressed primarily in the seed coat whereas regulators encoded by the Cn subgenome were expressed primarily in the embryo. Data suggest subgenome bias are characteristic features of the B. napus seed throughout development, and that such bias might not be universal across the embryo, endosperm, and seed coat of the developing seed. Whole genome transcription factor networks identified BZIP11 as a transcriptional regulator of early B. napus seed development. Knockdown of BZIP11 using RNA interference resulted in a similar reduction in gene activity of predicted gene targets, and a reproductive-lethal phenotype. Taken together, transcriptional networks spanning both the An and Cn genomes of the B. napus seed can identify valuable targets for seed development research and that-omics level approaches to studying gene regulation in B. napus can benefit from both broad and high-resolution analyses.One Sentence SummaryGlobal RNA sequencing coupled with laser microdissection provides a critical resource to study subgenome bias in whole seeds and specific tissues of polyploid plants.

Gene expression profiling in polycythaemia vera: overexpression of transcription factor NF-E2

2005 ◽  
Vol 129 (1) ◽  
pp. 138-150 ◽  
Author(s):  
Philipp S. Goerttler ◽  
Clemens Kreutz ◽  
Johannes Donauer ◽  
Daniel Faller ◽  
Thomas Maiwald ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Polycythaemia Vera

scholarly journals Gene Expression Profiling Identifies Microphthalmia-Associated Transcription Factor (MITF) and Dickkopf-1 (DKK1) as Regulators of Microenvironment-Driven Alterations in Melanoma Phenotype

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e95157 ◽  
Author(s):  
Mariusz L. Hartman ◽  
Beata Talar ◽  
Muhammad Zaeem Noman ◽  
Anna Gajos-Michniewicz ◽  
Salem Chouaib ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Dickkopf 1

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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