Transcriptome analysis of clock disrupted cancer cells reveals differential alternative splicing of cancer hallmarks genes.
Deeksha MalhanAlireza BastiAngela RelógioPublished in: NPJ systems biology and applications (2022)
Emerging evidence points towards a regulatory role of the circadian clock in alternative splicing (AS). Whether alterations in core-clock components may contribute to differential AS events is largely unknown. To address this, we carried out a computational analysis on recently generated time-series RNA-seq datasets from three core-clock knockout (KO) genes (ARNTL, NR1D1, PER2) and WT of a colorectal cancer (CRC) cell line, and time-series RNA-seq datasets for additional CRC and Hodgkin's lymphoma (HL) cells, murine WT, Arntl KO, and Nr1d1/2 KO, and murine SCN WT tissue. The deletion of individual core-clock genes resulted in the loss of circadian expression in crucial spliceosome components such as SF3A1 (in ARNTL KO ), SNW1 (in NR1D1 KO ), and HNRNPC (in PER2 KO ), which led to a differential pattern of KO-specific AS events. All HCT116 KO cells showed a rhythmicity loss of a crucial spliceosome gene U2AF1, which was also not rhythmic in higher progression stage CRC and HL cancer cells. AS analysis revealed an increase in alternative first exon events specific to PER2 and NR1D1 KO in HCT116 cells, and a KO-specific change in expression and rhythmicity pattern of AS transcripts related to cancer hallmarks genes including FGFR2 in HCT116_ARNTL KO , CD44 in HCT116_NR1D1 KO , and MET in HCT116_PER2 KO . KO-specific changes in rhythmic properties of known spliced variants of these genes (e.g. FGFR2 IIIb/FGFR2 IIIc) correlated with epithelial-mesenchymal-transition signalling. Altogether, our bioinformatic analysis highlights a role for the circadian clock in the regulation of AS, and reveals a potential impact of clock disruption in aberrant splicing in cancer hallmark genes.
Keyphrases
- rna seq
- cell cycle arrest
- genome wide
- single cell
- epithelial mesenchymal transition
- induced apoptosis
- genome wide identification
- papillary thyroid
- cell death
- bioinformatics analysis
- squamous cell carcinoma
- gene expression
- cell proliferation
- dna methylation
- atrial fibrillation
- risk assessment
- young adults
- oxidative stress
- human health
- tyrosine kinase
- transforming growth factor
- childhood cancer
- long non coding rna