Overall workflow of the study. (IMAGE)
Caption
COVID-19 patient whole blood sequencing data was analyzed for chimeric RNA using STARfusion, SoapFuse, and EricScript. Predictions found by at least two software and those containing no middle-to-middle (M:M) chimeric splice junctions were kept. All high-confidence predictions were used for downstream analysis. Downstream analysis included expression profiling, pathway enrichment, motif enrichment, and chi-square contingency tables. High confidence predictions were also further filtered to remove chimeras found in GTEx samples and spurious results found in less than five patients. Finally, PCR and Sanger sequencing were used to validate recurrent, COVID-19-specific chimeras, and the chimeras found to have an association with age, sex, or disease status.
Credit
Genes & Diseases
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