RBM17 Interacts with U2SURP and CHERP to Regulate Expression and Splicing of RNA-Processing Proteins
Year: 2018
Type: article
Abstract: RNA splicing entails the coordinated interaction of more than 150 proteins in the spliceosome, one of the most complex of the cell's molecular machines. We previously discovered that the RNA-binding motif protein 17 (RBM17), a component of the spliceosome, is essential for survival and cell maintenance. Here, we find that it interacts with the spliceosomal factors U2SURP and CHERP and that they reciprocally regulate each other's stability, both in mouse and in human cells. Individual knockdown of each of the three proteins induces overlapping changes in splicing and gene expression of transcripts enriched for RNA-processing factors. Our results elucidate the function of RBM17, U2SURP, and CHERP and link the activity of the spliceosome to the regulation of downstream RNA-binding proteins. These data support the hypothesis that, beyond driving constitutive splicing, spliceosomal factors can regulate alternative splicing of specific targets.
Source: Cell Reports
Language: English
Topic: RNA Research and Splicing
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,620
Funders: Howard Hughes Medical Institute, National Ataxia Foundation, Cancer Prevention and Research Institute of Texas, Huffington Foundation, National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Baylor Intellectual and Developmental Disabilities Research Centers, G3651656797, NRI Build-out: Advancing Translational Brain Research, Baylor Intellectual and Developmental Disabilities Research Center, Pathophysiology of Rett Syndrome /MECP2 Mutations, Development and Validation of a Network-guided, Multi-objective Optimization Model for Cancer Data Analysis., MOLECULAR STUDIES OF SPINOCEREBELLAR ATAXIS TYPE I, Texas Medical Center Digestive Diseases Center, Baylor College of Medicine Cancer Center - Cancer Center Support Grant
OpenAlex ID: W2896758936