scholarly journals NRF-1 and HIF-1α modulate activity of human VDAC1 gene promoter during starvation and hypoxia in HeLa cells

Author(s):  
Francesca Guarino ◽  
Federica Zinghirino ◽  
Lia Mela ◽  
Xena Pappalardo ◽  
Angela Messina ◽  
...  

AbstractVDAC (Voltage Dependent Anion Channel) is a family of pore forming protein located in the outer mitochondrial membrane. Its channel property ensures metabolites exchange between mitochondria and the rest of the cell resulting in metabolism and bioenergetics regulation, and in cell death and life switch. VDAC1 is the best characterized and most abundant isoform, and is involved in many pathologies, as cancer or neurodegenerative diseases. However, little information is available about its gene expression regulation in normal and/or pathological conditions. In this work, we explored VDAC1 gene expression regulation in normal conditions and in the contest of metabolic and energetic mitochondrial dysfunction and cell stress. The most active area of the putative promoter region was characterized in terms of transcription factors responsive elements both by bioinformatic studies and promoter activity experiments. In particular, we found a predominant presence of NRF-1 together with other transcription factors binding sites, involved in cell growth, proliferation, development and we studied their prevalence in gene activity. Furthermore, upon depletion of nutrients or controlled hypoxia, as reported in various pathologies, we found that VDAC1 transcripts levels were significantly increased in a time related manner. VDAC1 promoter activity was also validated by gene reporter assays. According to PCR real-time data, it was confirmed that VDAC1 promoter activity is further stimulated when are exposed to stress. A bioinformatic survey suggested NRF-1 e HIF-1α as the most active TFBS. Their validation was obtained by mutagenesis and overexpression experiments. In conclusion, we demonstrated experimentally the involvement of both NRF-1 and HIF-1α in the regulation of VDAC1 promoter activation at basal level and in cell stress conditions.

The Analyst ◽  
2020 ◽  
Vol 145 (9) ◽  
pp. 3339-3344
Author(s):  
Yue Sun ◽  
Zhiyan Li ◽  
Choiwan Lau ◽  
Jianzhong Lu

Transcription factors (TFs) play critical roles in gene expression regulation and disease development. Herein we report a chemiluminescence assay for the detection of transcription factor based on double-stranded DNA thermostability.


2021 ◽  
Vol 16 ◽  
Author(s):  
Min Yao ◽  
Caiyun Jiang ◽  
Chenglong Li ◽  
Yongxia Li ◽  
Shan Jiang ◽  
...  

Background: Mammalian genes are regulated at the transcriptional and post-transcriptional levels. These mechanisms may involve the direct promotion or inhibition of transcription via a regulator or post-transcriptional regulation through factors such as micro (mi)RNAs. Objective: This study aimed to construct gene regulation relationships modulated by causality inference-based miRNA-(transition factor)-(target gene) networks and analyze gene expression data to identify gene expression regulators. Methods: Mouse gene expression regulation relationships were manually curated from literature using a text mining method which was then employed to generate miRNA-(transition factor)-(target gene) networks. An algorithm was then introduced to identify gene expression regulators from transcriptome profiling data by applying enrichment analysis to these networks. Results: A total of 22,271 mouse gene expression regulation relationships were curated for 4,018 genes and 242 miRNAs. GEREA software was developed to perform the integrated analyses. We applied the algorithm to transcriptome data for synthetic miR-155 oligo-treated mouse CD4+ T-cells and confirmed that miR-155 is an important network regulator. The software was also tested on publicly available transcriptional profiling data for Salmonella infection, resulting in the identification of miR-125b as an important regulator. Conclusion: The causality inference-based miRNA-(transition factor)-(target gene) networks serve as a novel resource for gene expression regulation research, and GEREA is an effective and useful adjunct to the currently available methods. The regulatory networks and the algorithm implemented in the GEREA software package are available under a free academic license at website : http://www.thua45.cn/gerea.


Sign in / Sign up

Export Citation Format

Share Document