grant

Systematic identification of RNA sequences and protein components regulating circular RNA translation

Organization WASHINGTON UNIVERSITYLocation SAINT LOUIS, UNITED STATESPosted 8 Sept 2023Deadline 31 Aug 2026
NIHUS FederalResearch GrantFY2025AssayBasic ResearchBasic ScienceBioassayBiological AssayBiological FunctionBiological ProcessBiologyBloodBlood Reticuloendothelial SystemBody TissuesCRISPR interferenceCRISPR-dCas9-mediated repressionCRISPR/dCas9 interferenceCRISPR/dCas9-mediated transcriptional inhibitionCRISPRiCancersCell BodyCell Growth in NumberCell LineCell MultiplicationCell ProliferationCellLineCellsCellular ProliferationClinicalClustered Regularly Interspaced Short Palindromic Repeats interferenceComplementComplement ProteinsConvNetDifferential Gene ExpressionDiseaseDisorderElementsEnvironmentFoundationsGene ExpressionGenetic DiversityGenetic VariationGenomic SegmentHeadHumanHuman GenomeIRESInjectionsInstitutionInternal Ribosome Entry SegmentInternal Ribosome Entry SiteInvestigatorsLibrariesLiverLungLung Respiratory SystemMalignant NeoplasmsMalignant TumorMass Photometry/Spectrum AnalysisMass SpectrometryMass SpectroscopyMass SpectrumMass Spectrum AnalysesMass Spectrum AnalysisMediatingMentorshipMetastasisMetastasizeMetastatic LesionMetastatic MassMetastatic NeoplasmMetastatic TumorMethodsMiceMice MammalsModern ManMolecularMurineMusNeoplasm MetastasisNon-Polyadenylated RNAOligoOligonucleotidesOncogenesisPilot ProjectsPositionPositioning AttributePostdocPostdoctoral FellowPre-mRNAProteinsRNARNA Gene ProductsRNA SequencesRNA, Messenger, PrecursorsRecordsRegulationRegulatory ElementReporterResearchResearch AssociateResearch PersonnelResearch ResourcesResearchersResourcesRibonucleic AcidRibosome Entry SiteRoleScienceSecondary NeoplasmSecondary TumorSensitivity and SpecificitySingle Base PolymorphismSingle Nucleotide PolymorphismSortingSpecificitySpliceosomesStrains Cell LinesSystemTailTechnologyTissue-Specific Differential Gene ExpressionTissue-Specific Gene ExpressionTissuesTrainingTranscriptTranslation InitiationTranslational RegulationTranslational ResearchTranslational ScienceTranslationsUniversitiesViralWorkcancer metastasiscircular RNAclosed circular RNAcomplementationcomputer programcomputer programmingconvolutional networkconvolutional neural netsconvolutional neural networkcultured cell linedeep learningdeep learning methoddeep learning strategygenome segmentgenomic regionhepatic body systemhepatic organ systemhuman whole genomeinsightmRNA Precursormalignancymedical collegemedical schoolsmigrationneoplasm/cancernew technologynovel technologiesoligospilot studypost-docpost-doctoralpost-doctoral traineerepressing CRISPR-dCas9 systemresearch associatesscRNA sequencingscRNA-seqschool of medicinescreeningscreeningssingle cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell transcriptomic profilingsingle nucleotide variantsingle-cell RNA sequencingskillssocial rolesuccesstech developmenttechnology developmenttooltransduction efficiencytranslationtranslation researchtranslational investigationtumor cell metastasistumorigenesis
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Full Description

PROJECT SUMMARY
The human genome encodes tens of thousands of circRNAs, of which the translation is essential for

regulating important biological functions, such as cell proliferation, differentiation, and migration. Interference

with circRNA translation can lead to tumorigenesis and metastasis of cancers. It is unclear, however, how

disrupting circRNA translation can cause the diseases. Identifying the regulatory components of circRNA

translation can provide valuable clinical insights. However, current technologies cannot distinguish circRNAs

from linear RNAs efficiently, such that the mechanism and molecular components regulating circRNA translation

remain unclear. Thus, it is imperative to develop a technology that can identify the components regulating

circRNA translation with higher sensitivity and specificity.

I have developed a high-throughput reporter screening assay that can systematically screen and identify

the RNA sequences that initiate circRNA translation specifically. Utilizing the technology, I discovered two groups

of the RNA sequences that specifically drive translation on either circRNA or linear RNA, respectively, indicating

that the regulatory components between linear RNA and circRNA translation are different (Chen et al.,

resubmitted to Science). In this proposed research, I will further adapt and apply this novel technology to (i)

identify and characterize the sequence and protein components that regulate circRNA translation specifically, (ii)

identify the association between genetic variation, circRNA translation, and disease, (iii) characterize circRNA

translation in a tissue-dependent manner systematically, and (iv) build a non-integrative and stable gene

expression platform with tunable expression level and tissue specificity. This proposed research will build the

foundation of my future research as an independent researcher to investigate the regulation and the coordination

between different translation machinery (cap-dependent vs. independent translation) among different RNA

species (linear vs. circular RNAs).

This work will be performed under the mentorship of Dr. Howard Chang at the Stanford University School

of Medicine, an expert in technology development and RNA biology who has highly-successful track records of

placing postdoctoral fellows into independent academic positions at leading institutions. Further training in

scientific and professional skills will be achieved by utilizing the resources available through the Stanford

University School of Medicine and the Office of Postdoctoral Affairs, which provide an outstanding intellectually-

stimulating environment with all facilities and resources necessary for success. All proposed training will

complement my previous training in RNA biology, technology development, and computer programming and

facilitate my transition to an independent researcher, investigating the functions, regulations and clinical

implications of circRNA.

Grant Number: 5R00HG011475-05
NIH Institute/Center: NIH

Principal Investigator: Chun-Kan Chen

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