Global Identification of transcribed elements in the C. elegans genome
Global Identification of transcribed elements in the C. elegans genome
批准号:
7417627
负责人:
ROBERT H WATERSTON
金额:
$132.42万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-05-04 至 2011-03-31
关键词:
AdultAgeAlternative SplicingAnatomyAnimalsC. elegans genomeCaenorhabditis elegansCell LineageCellsCharacteristicsClassificationCodeCommunitiesComplexComputer SimulationCustomDataData SetDatabasesDerivation procedureElementsEmbryoEukaryotaEukaryotic CellExonsExpressed Sequence TagsFoundationsFractionationFunctional RNAGene Expression RegulationGenesGeneticGenomeGoalsGrantHumanImmunoprecipitationIndiumIntronsKnowledgeLengthLife Cycle StagesLongevityMass Spectrum AnalysisMethodsMicroRNAsModelingNematodaNeuronsOpen Reading FramesPeptidesPolymerase Chain ReactionPopulationProteinsPseudogenesRNARNA SplicingRaceReadingRecording of previous eventsResearch PersonnelReverse Transcriptase Polymerase Chain ReactionSamplingStagingStructureSynapsesTimeTissuesTranscriptUntranslated RNAUntranslated RegionsValidationbaseblastomere structurecomparativedesignexperiencegenome sequencingimprovedprogramsresearch studysexsizetelomere
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): A fundamental challenge in decoding the information stored in a genome is to describe the transcripts read from it and their structure. The nematode C. elegans offers an extraordinary opportunity among eukaryotes to accomplish this goal now. The small, compact genome is completely sequenced. The simple anatomy, fixed cell lineage and transparent body through the full life span make each and every cell available for observation and analysis at any time.
Already more than 1,300 noncoding RNAs and 17,000 of the estimated 21,000 protein coding genes, along with 2,500 alternative splice forms, have been fully or at least partially defined experimentally. The present proposal seeks to complete the definition of the transcribed genome of C. elegans. We will do this by assembly of all the available experimental data with a variety of gene models to define accurately the extent of the known transcribed genome. From this base, we will extend our knowledge of the transcribed genome through systematic application of genome tiling arrays across various stages and cells of the life cycle, including targeted analysis of microRNAs. In turn we will integrate this new data along with any other new data from the community with the gene models and any new models that develop. We will attempt directed confirmation of unconfirmed gene models through RT-PCR and custom arrays, starting with the initial set of gene models and adding new data as it becomes available. We will also use mass spectrometry to distinguish protein coding transcripts from noncoding transcripts for small potential open reading frames. The result will be a set of transcripts that will approach completion for protein coding genes and their UTRs and alternative splice forms as well as non-coding RNAs. The experience gained with this modest genome should be of value in interpreting more complex genomes, such as human.
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