Building Knowledge About Alternatively-spliced Dual-Coding Exons
Building Knowledge About Alternatively-spliced Dual-Coding Exons
批准号:
10363514
负责人:
Travis John Wheeler
金额:
$23.93万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-09 至 2024-08-31
关键词:
Alternative SplicingArchitectureAtlasesBackBinding SitesBioinformaticsBiologicalBiologyCatalogsCodeCollectionComputer softwareCustomDataData SetDevelopmentEukaryotaExonsFutureGenesHumanInvestigationKnowledgeLightMass Spectrum AnalysisMessenger RNAN-terminalNatureNucleotidesOpen Reading FramesPatternPeptide Signal SequencesPeptidesPlayProteinsRNA SplicingReading FramesResearchRoleSiteSpecificityTerminator CodonTissuesVariantVisualizationWorkgene functionhuman tissueinsightmouse genomeprogramsrepositorytraittranscriptome sequencingweb servicesweb-accessible
中文摘要
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英文摘要
Abstract
Most protein-coding genes in humans and other eukaryotes are made up of a collection of exons,
which are concatenated to form the messenger RNA (mRNA) that encodes a final protein
product. The well-known phenomenon of alternative splicing makes it possible for a single gene
to encode multiple protein products, by conditionally including only a subset of the gene’s exons
into the expressed mRNA. A more surprising mechanism for producing alternate protein products
is to utilize an alternate reading frame of a standard exon, through aberrant splicing; using
custom software built in our research group, we have found that this mechanism appears to be
quite common. Specifically, ~13% of all human genes include at least one exon that conditionally
encodes alternate peptides, and these “dual-coding exons” are highly-conserved: 98%
correspond to homologous exons in the mouse genome that also encode two open reading
frames. Light exploration has identified dozens of human genes that show tissue-specific
patterns of reading frame usage, suggesting a functional role for at least some of these variants.
Here, we describe a plan to (i) leverage massive public atlases of human tissue-specific and
development-specific RNA-Seq and mass spectrometry data to tabulate the extent of differential
use of these frame-shifted splicing variants, and to (ii) analyze the computationally-predicted
structural and functional impact of dual-coding variants, and the sequence signals controlling
them. The results of these analyses will be accumulated for release in an open and accessible
web service.
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Building Knowledge About Alternatively-spliced Dual-Coding Exons
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批准号:10701663
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项目类别:
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资助金额:$19.19万
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财政年份:2022
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负责人:Travis John Wheeler
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依托单位:
Machine learning approaches for improved accuracy and speed in sequence annotation: supplement for software enhancement
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批准号:10406630
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项目类别:
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资助金额:$22.19万
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财政年份:2019
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负责人:Travis John Wheeler
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依托单位:
Machine learning approaches for improved accuracy and speed in sequence annotation
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批准号:10838066
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项目类别:
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资助金额:$25.21万
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财政年份:2019
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负责人:Travis John Wheeler
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依托单位:
Machine learning approaches for improved accuracy and speed in sequence annotation
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批准号:10465048
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项目类别:
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资助金额:$5.17万
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财政年份:2019
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负责人:Travis John Wheeler
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依托单位:
Machine learning approaches for improved accuracy and speed in sequence annotation
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批准号:10020995
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项目类别:
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资助金额:$28.75万
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财政年份:2019
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负责人:Travis John Wheeler
-
依托单位:
Machine learning approaches for improved accuracy and speed in sequence annotation
-
批准号:10231149
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项目类别:
-
资助金额:$28.74万
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财政年份:2019
-
负责人:Travis John Wheeler
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依托单位:
海外基金