UBA1-CDK16 : A Sex-Specific Chimeric RNA and Its Role in Immune Sexual Dimorphism.
Xinrui ShiLoryn FacemireSandeep SinghShailesh KumarRobert CornelisonChen LiangFujun QinAiqun LiuShitong LinYue TangJustin ElfmanThomas ManleyTimothy N J BullockDoris M HaverstickPeng WuHui LiPublished in: bioRxiv : the preprint server for biology (2024)
RNA processing mechanisms, such as alternative splicing and RNA editing, have been recognized as critical means to expand the transcriptome. Chimeric RNAs formed by intergenic splicing provide another potential layer of RNA diversification. By analyzing a large set of RNA-Seq data and validating results in over 1,200 blood samples, we identified UBA1-CDK16 , a female-specific chimeric transcript. Intriguingly, both parental genes, are expressed in males and females. Mechanistically, UBA1-CDK16 is produced by cis-splicing between the two adjacent X-linked genes, originating from the inactive X chromosome. A female-specific chromatin loop, formed between the junction sites, facilitates the alternative splicing of its readthrough precursor. This unique chimeric transcript exhibits evolutionary conservation, evolving to be female-specific from non-human primates to humans. Furthermore, our investigation reveals that UBA1-CDK16 is enriched in the myeloid lineage and plays a regulatory role in myeloid differentiation. Notably, female COVID-19 patients who tested negative for this chimeric transcript displayed higher counts of neutrophils, highlighting its potential role in disease pathogenesis. These findings support the notion that chimeric RNAs represent a new repertoire of transcripts that can be regulated independently from the parental genes, and a new class of RNA variance with potential implications in sexual dimorphism and immune responses.
Keyphrases
- rna seq
- cell therapy
- single cell
- genome wide
- cell cycle
- transcription factor
- immune response
- stem cells
- gene expression
- endothelial cells
- nucleic acid
- dna methylation
- coronavirus disease
- sars cov
- mesenchymal stem cells
- acute myeloid leukemia
- mental health
- bone marrow
- bioinformatics analysis
- dna damage
- copy number
- electronic health record
- machine learning
- risk assessment
- toll like receptor
- inflammatory response
- climate change
- genome wide analysis
- human health