scholarly journals Construction and analysis of regulatory genetic networks in cervical cancer based on involved microRNAs, target genes, transcription factors and host genes

2014 ◽  
Vol 7 (4) ◽  
pp. 1279-1283 ◽  
Author(s):  
NING WANG ◽  
ZHIWEN XU ◽  
KUNHAO WANG ◽  
MINGHUI ZHU ◽  
YANG LI
Keyword(s):  
Cervical Cancer ◽  
Transcription Factors ◽  
Target Genes ◽  
Genetic Networks ◽  
Host Genes

scholarly journals Genes Involved in the Transcriptional Regulation of Pluripotency Are Expressed in Malignant Tumors of the Uterine Cervix and Can Induce Tumorigenic Capacity in a Nontumorigenic Cell Line

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Graciela Ruiz ◽  
Heriberto A. Valencia-González ◽  
Delia Pérez-Montiel ◽  
Felipe Muñoz ◽  
Rodolfo Ocadiz-Delgado ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Stem Cell ◽  
Transcription Factors ◽  
Cancer Stem Cell ◽  
Cell Line ◽  
Target Genes ◽  
Malignant Tumors ◽  
Expression Profiles ◽  
Ectopic Expression ◽  
Normal Tissues

Transcription factors OCT4, SOX2, KLF4, C-MYC, and NANOG (OSKM-N) regulate pluripotency and stemness, and their ectopic expression reprograms human and murine fibroblasts that constitute the key of regenerative medicine. To determine their contribution to cell transformation, we analyzed the gene expression profiles of these transcription factors in cervical cancer samples and found that they are preferentially expressed in the tumor component. Also, cancer stem cell-enriched cultures grown as sphere cultures showed overexpression of OSKM-N genes. Importantly, we observed that lentiviral-mediated transduction of these factors confers, to a nontumorigenic immortalized human cell line, properties of cancer stem cells as the ability to form tumors in a mouse model. When we performed a meta-analysis using microarray data from cervical cancer biopsies and normal tissues, we found that the expression of OSKM-N and some target genes allowed separating tumor and normal tissues between samples, which enhanced the importance of OSKM-N in the tumorigenesis. Finally, we analyzed and compared both transcript and protein expression profiles of these factors within a cohort of patients with cervical cancer. To our knowledge, this is the first time that the expression of OSKM-N is described to induce one of the main characteristics of the cancer stem cell, the tumorigenicity. And, more importantly, its exogenous expression in a nontumorigenic cell line is sufficient to induce a tumorigenic phenotype; furthermore, the differential expression of this transcription factor distinguishes tumor tissue and normal tissue in cervical samples.

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 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 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, 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 Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells

2021 ◽  
Vol 22 (15) ◽  
pp. 8193
Author(s):  
Daniel Pérez-Cremades ◽  
Ana B. Paes ◽  
Xavier Vidal-Gómez ◽  
Ana Mompeón ◽  
Carlos Hermenegildo ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Transcription Factor ◽  
Transcription Factors ◽  
Regulatory Network ◽  
Mirna Target ◽  
Target Genes ◽  
Functional Characterization ◽  
Human Endothelial Cells ◽  
Mrna Targets ◽  
Canonical Pathways

Background/Aims: Estrogen has been reported to have beneficial effects on vascular biology through direct actions on endothelium. Together with transcription factors, miRNAs are the major drivers of gene expression and signaling networks. The objective of this study was to identify a comprehensive regulatory network (miRNA-transcription factor-downstream genes) that controls the transcriptomic changes observed in endothelial cells exposed to estradiol. Methods: miRNA/mRNA interactions were assembled using our previous microarray data of human umbilical vein endothelial cells (HUVEC) treated with 17β-estradiol (E2) (1 nmol/L, 24 h). miRNA–mRNA pairings and their associated canonical pathways were determined using Ingenuity Pathway Analysis software. Transcription factors were identified among the miRNA-regulated genes. Transcription factor downstream target genes were predicted by consensus transcription factor binding sites in the promoter region of E2-regulated genes by using JASPAR and TRANSFAC tools in Enrichr software. Results: miRNA–target pairings were filtered by using differentially expressed miRNAs and mRNAs characterized by a regulatory relationship according to miRNA target prediction databases. The analysis identified 588 miRNA–target interactions between 102 miRNAs and 588 targets. Specifically, 63 upregulated miRNAs interacted with 295 downregulated targets, while 39 downregulated miRNAs were paired with 293 upregulated mRNA targets. Functional characterization of miRNA/mRNA association analysis highlighted hypoxia signaling, integrin, ephrin receptor signaling and regulation of actin-based motility by Rho among the canonical pathways regulated by E2 in HUVEC. Transcription factors and downstream genes analysis revealed eight networks, including those mediated by JUN and REPIN1, which are associated with cadherin binding and cell adhesion molecule binding pathways. Conclusion: This study identifies regulatory networks obtained by integrative microarray analysis and provides additional insights into the way estradiol could regulate endothelial function in human endothelial cells.

Sign in / Sign up

Export Citation Format

Share Document