scholarly journals Network analysis of microRNAs, transcription factors, target genes and host genes in nasopharyngeal carcinoma

2016 ◽  
Vol 11 (6) ◽  
pp. 3821-3828 ◽  
Author(s):  
HAO WANG ◽  
ZHIWEN XU ◽  
MENGYAO MA ◽  
NING WANG ◽  
KUNHAO WANG
Keyword(s):  
Transcription Factors ◽  
Network Analysis ◽  
Nasopharyngeal Carcinoma ◽  
Target Genes ◽  
Host Genes

scholarly journals Network analysis of microRNAs, transcription factors, target genes and host genes in human anaplastic astrocytoma

2016 ◽  
Vol 12 (1) ◽  
pp. 437-444 ◽  
Author(s):  
LUCHEN XUE ◽  
ZHIWEN XU ◽  
KUNHAO WANG ◽  
NING WANG ◽  
XIAOXU ZHANG ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Network Analysis ◽  
Anaplastic Astrocytoma ◽  
Target Genes ◽  
Host Genes

scholarly journals The network of microRNAs, transcription factors, target genes and host genes in human renal cell carcinoma

2014 ◽  
Vol 9 (1) ◽  
pp. 498-506 ◽  
Author(s):  
CHENGLU SONG ◽  
ZHIWEN XU ◽  
YUE JIN ◽  
MINGHUI ZHU ◽  
KUNHAO WANG ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Transcription Factors ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Target Genes ◽  
Human Renal Cell Carcinoma ◽  
Host Genes

scholarly journals Cross-Species Root Transcriptional Network Analysis Highlights Conserved Modules in Response to Nitrate between Maize and Sorghum

2020 ◽  
Vol 21 (4) ◽  
pp. 1445
Author(s):  
Hongyang Du ◽  
Lihua Ning ◽  
Bing He ◽  
Yuancong Wang ◽  
Min Ge ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Network Analysis ◽  
Target Genes ◽  
Affinity Purification ◽  
Hormone Signaling ◽  
Transcriptional Repressors ◽  
Nutrient Metabolism ◽  
Available Nitrogen ◽  
Genetic Mechanisms ◽  
Root Morphogenesis

Plants have evolved complex mechanisms to respond to the fluctuation of available nitrogen (N) in soil, but the genetic mechanisms underlying the N response in crops are not well-documented. In this study, we generated a time series of NO3−-mediated transcriptional profiles in roots of maize and sorghum, respectively. Using weighted gene co-expression network analysis, we identified modules of co-expressed genes that related to NO3− treatments. A cross-species comparison revealed 22 conserved modules, of which four were related to hormone signaling, suggesting that hormones participate in the early nitrate response. Three other modules are composed of genes that are mainly upregulated by NO3− and involved in nitrogen and carbohydrate metabolism, including NRT, NIR, NIA, FNR, and G6PD2. Two G2-like transcription factors (ZmNIGT1 and SbNIGT1), induced by NO3− stimulation, were identified as hub transcription factors (TFs) in the modules. Transient assays demonstrated that ZmNIGT1 and SbNIGT1 are transcriptional repressors. We identified the target genes of ZmNIGT1 by DNA affinity-purification sequencing (DAP-Seq) and found that they were significantly enriched in catalytic activity, including carbon, nitrogen, and other nutrient metabolism. A set of ZmNIGT1 targets encode transcription factors (ERF, ARF, and AGL) that are involved in hormone signaling and root development. We propose that ZmNIGT1 and SbNIGT1 are negative regulators of nitrate responses that play an important role in optimizing nutrition metabolism and root morphogenesis. Together with conserved N responsive modules, our study indicated that, to encounter N variation in soil, maize and sorghum have evolved an NO3−-regulatory network containing a set of conserved modules and transcription factors.

scholarly journals Regulatory Network of MicroRNAs, Target Genes, Transcription Factors and Host Genes in Endometrial Cancer

2015 ◽  
Vol 16 (2) ◽  
pp. 475-483 ◽  
Author(s):  
Lu-Chen Xue ◽  
Zhi-Wen Xu ◽  
Kun-Hao Wang ◽  
Ning Wang ◽  
Xiao-Xu Zhang ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Transcription Factors ◽  
Regulatory Network ◽  
Target Genes ◽  
Host Genes

scholarly journals Network analysis of microRNAs, transcription factors, and target genes involved in axon regeneration

2018 ◽  
Vol 19 (4) ◽  
pp. 293-304 ◽  
Author(s):  
Li-ning Su ◽  
Xiao-qing Song ◽  
Zhan-xia Xue ◽  
Chen-qing Zheng ◽  
Hai-feng Yin ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Network Analysis ◽  
Target Genes ◽  
Axon Regeneration
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