Gene expression profiling by cDNA‐AFLP reveals potential candidate genes for imazapyr‐induced male sterility in sunflower

Crop Science ◽  
2021 ◽  
Author(s):  
Nicolás Loste ◽  
Graciela M. Nestares ◽  
Silvina A. Felitti ◽  
Ana C. Ochogavía
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Male Sterility ◽  
Candidate Genes ◽  
Expression Profiling ◽  
Potential Candidate

scholarly journals Gene expression profiling by cDNA-AFLP reveals potential candidate genes for partial resistance of ‘Président Roulin’ against Venturia inaequalis

BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 1043 ◽  
Author(s):  
Héloïse Bastiaanse ◽  
Yordan Muhovski ◽  
Olivier Parisi ◽  
Roberta Paris ◽  
Dominique Mingeot ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Candidate Genes ◽  
Expression Profiling ◽  
Partial Resistance ◽  
Venturia Inaequalis ◽  
Potential Candidate

scholarly journals Gene expression profiling reveals candidate genes for defining spider silk gland types

2021 ◽  
pp. 103594
Author(s):  
R. Crystal Chaw ◽  
Thomas H. Clarke ◽  
Peter Arensburger ◽  
Nadia A. Ayoub ◽  
Cheryl Y. Hayashi
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Candidate Genes ◽  
Expression Profiling ◽  
Spider Silk ◽  
Silk Gland

GENE EXPRESSION PROFILING OF CANDIDATE GENES FOR FLOWERING INITIATION AND DORMANCY BREAKING IN RHODODENDRON SIMSII HYBRIDS

2013 ◽  
pp. 187-192 ◽  
Author(s):  
E. De Keyser ◽  
J. De Riek ◽  
A. Christiaens ◽  
M.C. Van Labeke ◽  
E. Pauwels ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Candidate Genes ◽  
Expression Profiling ◽  
Dormancy Breaking ◽  
Rhododendron Simsii ◽  
Flowering Initiation

The Use of Gene-Expression Profiling to Identify Candidate Genes in Human Sepsis

2007 ◽  
Vol 176 (7) ◽  
pp. 676-684 ◽  
Author(s):  
Benjamin M. P. Tang ◽  
Anthony S. McLean ◽  
Ian W. Dawes ◽  
Stephen J. Huang ◽  
Ruby C. Y. Lin
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Candidate Genes ◽  
Expression Profiling ◽  
Human Sepsis

scholarly journals Integrative analysis of transcriptome-wide association study and gene expression profiling identifies candidate genes associated with stroke

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7435
Author(s):  
Jian Yang ◽  
Bin Yan ◽  
Yajuan Fan ◽  
Lihong Yang ◽  
Binbin Zhao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Candidate Genes ◽  
Expression Profiling ◽  
Enrichment Analysis ◽  
Integrative Analysis ◽  
Functional Gene ◽  
Gene Sets ◽  
Go Enrichment ◽  
Go Enrichment Analysis

Background Stroke is a major public health burden worldwide. Although genetic variation is known to play a role in the pathogenesis of stroke, the specific pathogenic mechanisms are still unclear. Transcriptome-wide association studies (TWAS) is a powerful approach to prioritize candidate risk genes underlying complex traits. However, this approach has not been applied in stroke. Methods We conducted an integrative analysis of TWAS using data from the MEGASTROKE Consortium and gene expression profiling to identify candidate genes for the pathogenesis of stroke. Gene ontology (GO) enrichment analysis was also conducted to detect functional gene sets. Results The TWAS identified 515 transcriptome-wide significant tissue-specific genes, among which SLC25A44 (P = 5.46E−10) and LRCH1 (P = 1.54E−6) were significant by Bonferroni test for stroke. After validation with gene expression profiling, 19 unique genes were recognized. GO enrichment analysis identified eight significant GO functional gene sets, including regulation of cell shape (P = 0.0059), face morphogenesis (P = 0.0247), and positive regulation of ATPase activity (P = 0.0256). Conclusions Our study identified multiple stroke-associated genes and gene sets, and this analysis provided novel insights into the genetic mechanisms underlying stroke.

scholarly journals Gene expression profiling of human endothelial cells exposed to 50-Hz magnetic fields fails to produce regulated candidate genes

2006 ◽  
Vol 11 (3) ◽  
pp. 227 ◽  
Author(s):  
Blair Henderson ◽  
Michaela Kind ◽  
Guenther Boeck ◽  
Arno Helmberg ◽  
Georg Wick
Keyword(s):  
Gene Expression ◽  
Endothelial Cells ◽  
Magnetic Fields ◽  
Gene Expression Profiling ◽  
Candidate Genes ◽  
Expression Profiling ◽  
Human Endothelial Cells
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