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Can I read Building a quantitative and predictive model of 5'SS selection by human U1 snRNP using RNA-map on EtoBox?
Building a quantitative and predictive model of 5'SS selection by human U1 snRNP using RNA-map by David S. White; Tucker J. Carrocci; John Shin; Chia-Ho Lin; Douglas L. Black; William Greenleaf; Daniel Herschlag; Aaron A. Hoskins is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Building a quantitative and predictive model of 5'SS selection by human U1 snRNP using RNA-map about?
Alternative splicing of pre-mRNA greatly expands the protein coding potential of our genome and accounts for extensive cell and tissue-specific variation in gene expression. Spliceosome assembly depends on the recognition of the 5 0 splice site (5 0 SS) at the exon-intron boundary by the U1 small nuclear ribonucleoprotein (U1 snRNP). Critically, mutations in either U1 or the 5 0 SS can lead to human disease, including cancer. Despite decades of investigation, accurately predicting 5 0 SS selection and alternative splicing outcomes is difficult, suggesting new approaches are needed. Here, we present our progress in developing a quantitative and predictive model of 5 0 SS selection by human U1 snRNP grounded in biochemical understanding. We used the RNA on a massively parallel array (RNA-MaP) platform to measure equilibrium binding constants of reconstituted human U1 snRNP to >60,000 unique RNAs. Our designed RNA library features all possible GU and GC variants in addition to thousands of identified mutations, allowing us to build a comprehensive and predictive model of 5 0 SS/U1 interactions at the transcriptome scale. Overall, our results will provide a first principles understandi
Who reads Building a quantitative and predictive model of 5'SS selection by human U1 snRNP using RNA-map?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- David S. White; Tucker J. Carrocci; John Shin; Chia-Ho Lin; Douglas L. Black; William Greenleaf; Daniel Herschlag; Aaron A. Hoskins
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)