This proposal seeks renewal of a multi-PI project (Fu and Yeo) to use global approaches to elucidate regulatory principles in the regulation of alternative splicing in mammalian genomes. Built upon our accomplishments in the past funding cycle, including extensive preliminary results, we propose to conduct several systematic loss- and gain-of-function studies to identify genes, gene networks, and pathways involved in the regulation of alternative splicing in three specific aims.
The first aim i s to perform large-scale network analysis of regulated alternative splicing. Using the two-dimensional mRNA isoform profiling platform developed in our labs, we propose to conduct both genome-wide RNAi and overexpression screening in HEK293 cells and score a set of commonly regulated splicing events (~400) in each treatment condition. We will also complement these genome-wide perturbation studies with transcriptomic analyses by comprehensive RNA-seq against shRNA-mediated depletion (already completed) and ectopic expression of ~300 carefully selected RNA binding proteins (RBPs). These data will help identify new splicing factors, integrate RBPs into transcription, epigenetic and signaling pathways, and decipher both unique and dominant functions of individual RBPs. In the second aim, we propose to analyze RBP-centric protein-protein interaction networks. In particular, we propose to take full advantage of our validated library of open reading frames encoding RBPs for quantitative proteomic analysis of 300 RBPs with and without RNase treatment to identify both RNA-dependent and independent interactions within the framework of RBP complexes. Using the large datasets of functional RNA targets (Aim 1) and RBP-centric protein-protein interactions (Aim 2), we will in Aim 3 perform integrated analysis of RNA genomics data to build predictive models of the regulation of alternative splicing by RBPs. We will use or develop a set of computational tools to predict novel RBP targets, refine individual RBP-central gene networks, and most importantly, integrate comprehensive RBP cis and trans interactomes with system-wide perturbation to build predictive models for cell-specific regulation of alternative splicing. We believe that such integrated analysis will have major impacts on our understanding of regulated splicing and associated disease mechanisms.

Public Health Relevance

Our RNA genomics project aims to use genomics tools to systematically elucidate genes, gene networks, and pathways involved in the regulation of alternative splicing in mammalian cells. The proposed research will provide critical molecular insights into regulated RNA processing and its coupling with other steps in gene expression, which will form the basis for development of effective treatment strategies against many RNA- related human diseases.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project (R01)
Project #
5R01HG004659-08
Application #
8918712
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Feingold, Elise A
Project Start
2008-06-01
Project End
2017-06-30
Budget Start
2015-07-01
Budget End
2016-06-30
Support Year
8
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of California San Diego
Department
Other Basic Sciences
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Roloff, Alexander; Nelles, David A; Thompson, Matthew P et al. (2018) Self-Transfecting Micellar RNA: Modulating Nanoparticle Cell Interactions via High Density Display of Small Molecule Ligands on Micelle Coronas. Bioconjug Chem 29:126-135
Zhang, Kai; Zhang, Xiaorong; Cai, Zhiqiang et al. (2018) A novel class of microRNA-recognition elements that function only within open reading frames. Nat Struct Mol Biol 25:1019-1027
Wheeler, Emily C; Van Nostrand, Eric L; Yeo, Gene W (2018) Advances and challenges in the detection of transcriptome-wide protein-RNA interactions. Wiley Interdiscip Rev RNA 9:
Krach, Florian; Batra, Ranjan; Wheeler, Emily C et al. (2018) Transcriptome-pathology correlation identifies interplay between TDP-43 and the expression of its kinase CK1E in sporadic ALS. Acta Neuropathol 136:405-423
Chen, Liang; Chen, Jia-Yu; Huang, Yi-Jou et al. (2018) The Augmented R-Loop Is a Unifying Mechanism for Myelodysplastic Syndromes Induced by High-Risk Splicing Factor Mutations. Mol Cell 69:412-425.e6
Markmiller, Sebastian; Soltanieh, Sahar; Server, Kari L et al. (2018) Context-Dependent and Disease-Specific Diversity in Protein Interactions within Stress Granules. Cell 172:590-604.e13
Bao, Xichen; Guo, Xiangpeng; Yin, Menghui et al. (2018) Capturing the interactome of newly transcribed RNA. Nat Methods 15:213-220
Nussbacher, Julia K; Yeo, Gene W (2018) Systematic Discovery of RNA Binding Proteins that Regulate MicroRNA Levels. Mol Cell 69:1005-1016.e7
Hu, Jing; Qian, Hao; Xue, Yuanchao et al. (2018) PTB/nPTB: master regulators of neuronal fate in mammals. Biophys Rep 4:204-214
Van Nostrand, Eric L; Shishkin, Alexander A; Pratt, Gabriel A et al. (2017) Variation in single-nucleotide sensitivity of eCLIP derived from reverse transcription conditions. Methods 126:29-37

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