Characterizing functional translation in putative 'noncoding' regions of a genome
Characterizing functional translation in putative 'noncoding' regions of a genome
批准号:
10224773
负责人:
Zhe Ji
金额:
$39.88万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-08-01 至 2025-05-31
关键词:
5&apos Untranslated RegionsAutomobile DrivingBiologicalBiological ProcessCell ProliferationCellsComputational algorithmCouplingDataDegradation PathwayDevelopmentDiseaseDisease ProgressionElementsEukaryotaEvolutionGenetic studyGenomeGenomic approachLightMediatingMetabolismModelingMolecularNormal RangeOpen Reading FramesOther GeneticsPeptidesPseudogenesRNARNA StabilityResearchRoleTranslatingTranslationsUntranslated RNAWorkfrontierinsightnovelribosome profiling
中文摘要
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英文摘要
ABSTRACT
It is fundamentally important to understand how functional information is encoded by a genome. Characterizing
these functional elements can bring novel mechanistic insights into biological processes ranging from normal
development to disease progression. I developed a computational algorithm to analyze ribosome profiling data,
and unexpectedly revealed thousands of short open reading frames (sORFs) encoded by putative ‘noncoding’
regions, including lncRNAs, pseudogenes, and 5’UTRs. Some of the sORFs are conserved across species,
suggesting biological importance. My results together with several other genetic studies in model species have
opened up a research frontier to study the biological roles of sORFs encoded in a genome. Here I propose to
use integrated computational and experimental genomics approaches to systematically characterize biological
functions of sORFs. First, we will study basic principles driving sORF conservation and expression across
eukaryotes. Second, we will study the stability and degradation pathways of sORF-encoded micropeptides. Third,
we will examine the importance of sORFs for regulating cell proliferation. Finally, we will study the functional
roles of sORF translation in regulating RNA stability. Taken together, our study will shed light on the functional
characterization of the newly identified translated regions in a genome and provide novel insights into the
interplay between RNA translation and genome evolution. Our findings will have far-reaching implications for the
molecular understanding of translational control and peptide functions underlying development and diseases.
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