Targeted regulation of transcript stability through RNA methylation and intron retention
Targeted regulation of transcript stability through RNA methylation and intron retention
批准号:
10169762
负责人:
Hani Goodarzi
金额:
$1.79万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2022-08-31
关键词:
BindingBiological ProcessBiologyCell NucleusCell modelCellsClustered Regularly Interspaced Short Palindromic RepeatsCo-ImmunoprecipitationsCommunitiesComplexCytoplasmDataDissectionFoundationsGene ExpressionGene Expression RegulationGenetic EpistasisGenetic TranscriptionGenomeGoalsHealthHumanInterdisciplinary StudyIntronsKnowledgeLabelLife Cycle StagesMass Spectrum AnalysisMeasurementMeasuresMediatingMethylationMethyltransferaseModelingModificationMolecularMutagenesisNatureNuclearNuclear ExportNuclear RNANucleoproteinsPathway interactionsPlayPost-Transcriptional RegulationProcessProteinsPublic HealthRNARNA DecayRNA DegradationRNA EditingRNA ProcessingRNA SplicingRNA StabilityRNA methylationRNA-Binding ProteinsRegulationRegulatory PathwayRegulonReporterResearchRoleSet proteinSpliceosomesStructureSystemTechniquesTechnologyTestingTranscriptbasecell behaviorcomputerized toolsds RNA-Binding Proteinsexosomeexperimental studygenome editinghuman diseaseinsightinterdisciplinary approachinterestloss of functionmRNA Surveillancenovelprogramsprotein expressionrecruittool developmenttranscriptome sequencingtranscriptomics
中文摘要
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英文摘要
PROJECT SUMMARY
Cells rely on spatially and temporally precise expression of proteins to carry out key biological processes.
Thus, decoding the regulatory genome is a crucial step towards developing accurate models of cellular
behavior. While transcriptional networks have been widely studied, post-transcriptional regulatory programs
remain largely uncharacterized. Recently, we discovered the double-stranded RNA-binding protein TARBP2
acts as a global regulator of RNA stability (Goodarzi et al. Nature, 2014). However, the underlying molecular
mechanisms through which this non-canonical TARBP2 pathway regulates RNA decay were unknown. Based
on our observation that TARBP2 binds extensively to the intronic regions of its target transcripts, we
hypothesized and successfully demonstrated that this decay pathway is located in the nucleus. We also
showed that TARBP2 interacts with different sets of proteins in the nucleus and the cytoplasm. Interestingly,
among the nucleus-specific interactions were key components of the RNA methyltransferase complex and the
nuclear surveillance machinery. Our preliminary findings strongly support a model in which TARBP2 binding
results in the recruitment of the RNA methyltransferase complex and the subsequent methylation of TARBP2-
bound introns. Methylated introns, which remain unspliced, are then targeted to the RNA exosome for
degradation through an interaction between TARBP2 and the nucleoprotein TPR.
To assess the veracity of this model, we will perform nuclear RNA sequencing to measure intron retention in
the presence and absence of different components of this pathway. First, we will assess the role of TARBP2
binding in RNA methylation and its impact on splicing. Then, we will search for the components of the nuclear
surveillance machinery that degrade transcripts with TARBP2-bound introns. We will also perform epistasis
experiments to establish the pathway structure for this process. At every step, in addition to whole-
transcriptomic measurements, we will use reporter constructs and CRISPR-mediated genome editing to test
the requirement and sufficiency of TARBP2 binding, RNA methylation, and splicing in RNA decay.
The successful completion of this study will result in the characterization of a novel regulatory pathway that
uses targeted RNA methylation and orchestrated intron retention to modulate RNA abundance. The study
proposed here builds on our years of multidisciplinary research on post-transcriptional regulation of gene
expression (Goodarzi et al, Cell 2015, 2016; Goodarzi et al, Nature 2012, 2014). Our preliminary results, which
strongly support our proposed model, provide a strong foundation for the interdisciplinary approach outlined in
this proposal. Given our strong background in computational and experimental biology, and the expertise and
support provided by our collaborators at UCSF, we are ideally situated to tackle this project.
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