Global analysis of the abundance of AU-rich mRNAs in response to glucocorticoid treatment.
Zeyad MuazzenWalid MoghrabiTala BakheetLinah MahmoudMaher Al-SaifKhalid S A KhabarEdward G HittiPublished in: Scientific reports (2024)
Glucocorticoids (GC) like dexamethasone (Dex) are potent anti-inflammatory agents with diverse cellular functions including the potentiation of the activity of AU-rich elements (AREs). AREs are cis-acting instability sequence elements located in the 3'UTRs of many inflammatory mediator mRNAs. Here, available RNA-seq data were used to investigate the effect of GCs on the ARE-mRNA-transcriptome. At a global scale, ARE-mRNAs had a tendency to be downregulated after GC-treatment of the A549 lung cancer cell-line, but with notable cases of upregulation. mRNA stability experiments indicated that not only the downregulated, but also the upregulated ARE-mRNAs are destabilized by Dex-treatment. Several of the most upregulated ARE-mRNAs code for anti-inflammatory mediators including the established GC targets DUSP1 and ZFP36; both code for proteins that target ARE-containing mRNAs for destruction. GCs are widely used in the treatment of COVID-19 patients; we show that ARE-mRNAs are more likely to regulate in opposite directions between Dex-treatment and SARS-CoV-2 infections compared to non-ARE mRNAs. The effect of GC treatment on ARE-mRNA abundance was also investigated in blood monocytes of COVID-19 patients. The results were heterogeneous; however, in agreement with in vitro observations, ZFP36 and DUSP1 were often amongst the most differentially expressed mRNAs. The results of this study propose a universal destabilization of ARE-mRNAs by GCs, but a diverse overall outcome in vitro likely due to induced transcription or due to the heterogeneity of COVID-19 patient's responses in vivo.
Keyphrases
- sars cov
- rna seq
- single cell
- coronavirus disease
- gene expression
- low dose
- signaling pathway
- machine learning
- high dose
- high resolution
- transcription factor
- cell proliferation
- immune response
- dendritic cells
- sensitive detection
- mass spectrometry
- deep learning
- peripheral blood
- big data
- liquid chromatography
- reduced graphene oxide
- replacement therapy