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Sex and the basal mRNA synthesis machinery. | LitMetric

Sex and the basal mRNA synthesis machinery.

Wiley Interdiscip Rev RNA

Rutgers-New Jersey Medical School (NJMS), Department of Microbiology, Biochemistry, and Molecular Genetics, Newark, New Jersey, USA.

Published: May 2023

Evolution and change generated an incredible diversity of organisms on this earth. Yet, some processes are so central to life that change is strongly selected against. Synthesis of the eukaryotic messenger RNA is one example. The assemblies that carry out transcription and processing (capping, polyadenylation, and splicing) are so conserved that most genes have recognizable orthologs in yeast and humans. Naturally, most would conclude transcription and processing are identical in both sexes. However, this is an assumption. Men and women vastly differ in their physiologies. The incidence of pathologies, symptom presentation, disease outcome, and therapeutic response in each sex vary enormously. Despite the harm ignorance causes women, biological research has been historically carried out without regard to sex. The male mouse was the default mammal. A cultured cell's sex was considered irrelevant. Attempts to fill this knowledge gap have revealed molecular dissimilarities. For example, the earliest embryonic male and female transcriptomes differ long before fetal sex hormones appear. We used public data to challenge the assumption of sameness by reviewing reports of sex-biased gene expression and gene targeting. We focused on 120 genes encoding nonregulatory proteins involved in mRNA synthesis. Remarkably, genes with recognizable orthologs in yeast and thus LEAST likely to differ, did differ between the sexes. The rapidly growing public databases can be used to compare the expression of any gene in male and female tissues. Appreciating the principles that drive sex differences will enrich our understanding of RNA biology in all humans-men and women. This article is categorized under: RNA in Disease and Development > RNA in Development RNA Evolution and Genomics > Computational Analyses of RNA.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070566PMC
http://dx.doi.org/10.1002/wrna.1765DOI Listing

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