scholarly journals Microarray Analysis of p53 Target Gene Expression Patterns in the Spleen and Thymus in Response to Ionizing Radiation

2003 ◽  
Vol 2 (4) ◽  
pp. 431-443 ◽  
Author(s):  
Timothy F Burns ◽  
Wafik S. El-Deiry
Keyword(s):  
Gene Expression ◽  
Ionizing Radiation ◽  
Microarray Analysis ◽  
Target Gene ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Target Gene Expression ◽  
P53 Target Gene

scholarly journals Deafness Gene Expression Patterns in the Mouse Cochlea Found by Microarray Analysis

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e92547 ◽  
Author(s):  
Hidekane Yoshimura ◽  
Yutaka Takumi ◽  
Shin-ya Nishio ◽  
Nobuyoshi Suzuki ◽  
Yoh-ichiro Iwasa ◽  
...  
Keyword(s):  
Gene Expression ◽  
Microarray Analysis ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Deafness Gene

Microarray analysis of gene expression patterns in the leaf during potato tuberization in the potato somatic hybrid Solanum tuberosum and Solanum etuberosum

Genome ◽  
2015 ◽  
Vol 58 (6) ◽  
pp. 305-313 ◽  
Author(s):  
Jagesh Kumar Tiwari ◽  
Sapna Devi ◽  
S. Sundaresha ◽  
Poonam Chandel ◽  
Nilofer Ali ◽  
...  
Keyword(s):  
Gene Expression ◽  
Candidate Genes ◽  
Microarray Analysis ◽  
Somatic Hybrid ◽  
Developmental Stages ◽  
Expression Patterns ◽  
Pcr Analysis ◽  
Gene Expression Patterns ◽  
Potato Tuberization ◽  
Solanum Etuberosum

Genes involved in photoassimilate partitioning and changes in hormonal balance are important for potato tuberization. In the present study, we investigated gene expression patterns in the tuber-bearing potato somatic hybrid (E1-3) and control non-tuberous wild species Solanum etuberosum (Etb) by microarray. Plants were grown under controlled conditions and leaves were collected at eight tuber developmental stages for microarray analysis. A t-test analysis identified a total of 468 genes (94 up-regulated and 374 down-regulated) that were statistically significant (p ≤ 0.05) and differentially expressed in E1-3 and Etb. Gene Ontology (GO) characterization of the 468 genes revealed that 145 were annotated and 323 were of unknown function. Further, these 145 genes were grouped based on GO biological processes followed by molecular function and (or) PGSC description into 15 gene sets, namely (1) transport, (2) metabolic process, (3) biological process, (4) photosynthesis, (5) oxidation-reduction, (6) transcription, (7) translation, (8) binding, (9) protein phosphorylation, (10) protein folding, (11) ubiquitin-dependent protein catabolic process, (12) RNA processing, (13) negative regulation of protein, (14) methylation, and (15) mitosis. RT-PCR analysis of 10 selected highly significant genes (p ≤ 0.01) confirmed the microarray results. Overall, we show that candidate genes induced in leaves of E1-3 were implicated in tuberization processes such as transport, carbohydrate metabolism, phytohormones, and transcription/translation/binding functions. Hence, our results provide an insight into the candidate genes induced in leaf tissues during tuberization in E1-3.

scholarly journals Raw sequence to target gene prediction: An integrated inference pipeline for ChIP-seq and RNA-seq datasets

2017 ◽  
Author(s):  
Nisar Wani ◽  
Khalid Raza
Keyword(s):  
Gene Expression ◽  
Target Gene ◽  
Target Genes ◽  
Gene Prediction ◽  
Expression Patterns ◽  
Dna Binding Proteins ◽  
Gene Expression Patterns ◽  
Rna Seq ◽  
Cellular Processes ◽  
Regulatory Effects

AbstractGene expression patterns determine the manner whereby organisms regulate various cellular processes and therefore their organ functions.These patterns do not emerge on their own, but as a result of diverse regulatory factors such as, DNA binding proteins known as transcription factors (TF), chromatin structure and various other environmental factors. TFs play a pivotal role in gene regulation by binding to different locations on the genome and influencing the expression of their target genes. Therefore, predicting target genes and their regulation becomes an important task for understanding mechanisms that control cellular processes governing both healthy and diseased cells.In this paper, we propose an integrated inference pipeline for predicting target genes and their regulatory effects for a specific TF using next-generation data analysis tools.

scholarly journals Cancer-derived p53 mutants suppress p53-target gene expression--potential mechanism for gain of function of mutant p53

2007 ◽  
Vol 35 (6) ◽  
pp. 2093-2104 ◽  
Author(s):  
F. Vikhanskaya ◽  
M. K. Lee ◽  
M. Mazzoletti ◽  
M. Broggini ◽  
K. Sabapathy
Keyword(s):  
Gene Expression ◽  
Target Gene ◽  
Mutant P53 ◽  
Potential Mechanism ◽  
Gain Of Function ◽  
Target Gene Expression ◽  
P53 Target Gene ◽  
Expression Potential

scholarly journals Microarray Analysis Reveals Differential Gene Expression Patterns in Tumors of the Pineal Region

2006 ◽  
Vol 65 (7) ◽  
pp. 675-684 ◽  
Author(s):  
Michelle Fèvre-Montange ◽  
Jacques Champier ◽  
Alexandru Szathmari ◽  
Anne Wierinckx ◽  
Carmine Mottolese ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differential Gene Expression ◽  
Microarray Analysis ◽  
Expression Patterns ◽  
Pineal Region ◽  
Gene Expression Patterns ◽  
Differential Gene
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