Spliceosome profiling visualizes the operations of a dynamic RNP in vivo at nucleotide resolution

Tools to understand how the spliceosome functions in vivo have lagged behind advances in its structural biology. We describe methods to globally profile spliceosome-bound precursor, intermediates and products at nucleotide resolution. We apply these tools to three divergent yeast species that span 600 million years of evolution. The sensitivity of the approach enables detection of novel cases of non- canonical catalysis including interrupted, recursive and nested splicing. Employing statistical modeling to understand the quantitative relationships between RNA features and the data, we uncover independent roles for intron size, position and number in substrate progression through the two catalytic stages. These include species-specific inputs suggestive of spliceosome-transcriptome coevolution. Further investigations reveal ATP-dependent discard of numerous endogenous substrates at both the precursor and lariat-intermediate stages and connect discard to intron retention, a form of splicing regulation. Spliceosome profiling is a quantitative, generalizable global technology to investigate an RNP central to eukaryotic gene expression. Overall design: Spliceosome profiling of samples from S. cerevisiae, S. pombe and C. neoformans. Detailed description of the method can be found in the supplementary PDF file. 2 replicates of each sample type are analyzed (3' end profiling, spliceosome-bound RNA-seq, polyA RNA-seq, junction profiling and branch profiling.

Identifier
Source https://data.blue-cloud.org/search-details?step=~01202DD5AA12D96011C66D2BC7A14C6963DA560135A
Metadata Access https://data.blue-cloud.org/api/collections/02DD5AA12D96011C66D2BC7A14C6963DA560135A
Provenance
Instrument Illumina HiSeq 4000; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Contributor Madhani, Biochemistry and Biophysics, University of California, San Francisco
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Temporal Point 2018-02-21T00:00:00Z