Ferroptosis Altered microRNAs Expression in HT-1080 Fibrosarcoma Cells Based on Small RNA Sequencing and Bioinformatics Analysis.
Qian ZhangQiwen WangHaoxuan DingCaihong HuJie FengPublished in: Nutrients (2024)
Iron is an essential trace element in the human body. However, excess iron is harmful and may cause ferroptosis. The expression and role of microRNAs (miRNAs) in ferroptosis remain largely unknown. A model of ferroptosis induced by ferric ammonium citrate in HT-1080 cells was established in this study. The miRNAs expression profiles of the control and iron groups were obtained using small RNA sequencing and verified using qRT-PCR. A total of 1346 known miRNAs and 80 novel miRNAs were identified, including 12 up-regulated differentially expressed miRNAs (DE-miRNAs) and 16 down-regulated DE-miRNAs. SP1 was the most important upstream transcription factor regulating DE-miRNAs. The downstream target genes of DE-miRNAs were predicted based on miRDB, TargetScan, and miRBase databases, and 403 common target genes were screened. GO annotation and KEGG analysis revealed that the target genes were mainly involved in various biological processes and regulatory pathways, especially the MAPK signaling pathway and PI3K-Akt signaling pathway. Afterwards, a target genes network was constructed using STRING and Cytoscape, and the hub genes were compared with the ferroptosis database (FerrDb V2) to discover the hub genes related to ferroptosis. EGFR , GSK3B , PARP1 , VCP , and SNCA were screened out. Furthermore, a DE-miRNAs-target genes network was constructed to explore key DE-miRNAs. hsa-miR-200c-3p, hsa-miR-26b-5p, and hsa-miR-7-5p were filtered out. Comprehensive bioinformatics analysis of miRNAs and its upstream and downstream regulation in ferroptosis in HT-1080 cells using small RNA sequencing is helpful for understanding the role of miRNAs in iron overload-related diseases and ferroptosis-targeted therapy for cancer.
Keyphrases
- bioinformatics analysis
- signaling pathway
- pi k akt
- cell death
- cell cycle arrest
- induced apoptosis
- transcription factor
- genome wide
- single cell
- genome wide identification
- cell proliferation
- poor prognosis
- small cell lung cancer
- magnetic resonance imaging
- squamous cell carcinoma
- long non coding rna
- oxidative stress
- dna damage
- machine learning
- computed tomography
- magnetic resonance
- young adults
- epidermal growth factor receptor
- rna seq
- endoplasmic reticulum stress
- network analysis
- lymph node metastasis
- long noncoding rna
- papillary thyroid