RASSF1 is identified by transcriptome coordination analysis as a target of ATF4.
Youwen ZhangKim-Tuyen Huynh-DamXiaokai DingVitali SikirzhytskiChang-Uk LimEugenia BroudeHippokratis KiarisPublished in: FEBS open bio (2023)
Evaluation of gene co-regulation is a powerful approach for revealing regulatory associations between genes and predicting biological function, especially in genetically diverse samples. Here, we applied this strategy to identify transcripts that are co-regulated with unfolded protein response (UPR) genes in cultured fibroblasts from outbred deer mice. Our analyses showed that the transcriptome associated with RASSF1, a tumor suppressor involved in cell cycle regulation and not previously linked to UPR, is highly correlated with the transcriptome of several UPR-related genes, such as BiP/GRP78, DNAJB9, GRP94, ATF4, DNAJC3 and CHOP/DDIT3. Conversely, gene ontology analyses for genes co-regulated with RASSF1 predicted a previously unreported involvement in UPR-associated apoptosis. Bioinformatic analyses indicated the presence of ATF4 binding sites in the RASSF1 promoter, which were shown to be operational using chromatin immunoprecipitation. Reporter assays revealed that the RASSF1 promoter is responsive to ATF4, while ablation of RASSF1 mitigated expression of the ATF4 effector BBC3 and abrogated tunicamycin-induced apoptosis. Collectively, these results implicate RASSF1 in the regulation of ER stress-associated apoptosis downstream of ATF4. They also illustrate the power of gene coordination analysis in predicting biological functions and revealing regulatory associations between genes.
Keyphrases
- endoplasmic reticulum stress
- genome wide
- transcription factor
- genome wide identification
- induced apoptosis
- dna methylation
- cell cycle
- copy number
- gene expression
- single cell
- oxidative stress
- cell proliferation
- genome wide analysis
- endothelial cells
- bioinformatics analysis
- rna seq
- type diabetes
- dna damage
- binding protein
- regulatory t cells
- dendritic cells
- amino acid
- crispr cas
- adipose tissue
- high throughput
- cell death
- drug delivery
- insulin resistance
- atrial fibrillation