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RNA profiling is an important technology that measures RNA levels in cells and tissues, and that has been used to define pathways in mammalian organ development. Because the central focus of the SysCODE Consortium is to define such pathways in the developing tooth germ, pancreatic islet and heart valve, Projects 2, 3 and 4 of this U54 Consortium will use RNA profiling to define RNA levels during development. We have recently developed a novel RNA profiling procedure, PMAGE, that circumvents potential issues encountered with conventional microarray platforms in the analysis of low abundance transcripts. The PMAGE method combines the frequency distribution technique pioneered by SAGE (serial analysis of gene expression) with the high throughput Polony DNA sequencing technique to produce histograms, which accurately profile the RNAs in tissues or cells. That is, a single 14 base pair tag is produced from a single RNA molecule, the tags are stored in PMAGE libraries, and about 2 million tags are sequenced per library. The RNA profiles obtained by this method contain about 30-fold more tags than the majority of SAGE libraries, and hence are able to measure the level of RNAs expressed at less than 0.3 RNA copies per cell. This enhanced sensitivity thus encompasses potential low abundance RNAs, such as those encoding transcription factors and other regulatory molecules that may be important to a molecular understanding of organogenesis. The ability to comprehensively define levels of transcription factors should therefore provide novel insights into organ development. We propose to create, under the aegis of this P30 Core grant, a PMAGE Technology Development Core facility that will enable Consortium investigators to determine expression profiles from total RNA. We expect to produce about 50 PMAGE RNA profiles in the first year and 250 RNA profiles during the grant period. These RNA profiles will provide unique insights into the mechanisms by which the tooth germ, pancreatic islet and heart valve form. In particular we will define the complete catalogue of transcription factors that are required for the development of these tissues.
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Molecular Causes of Down Syndrome Associated Congenital Heart Disease and Other Phenotypes
  • 批准号:
    9894531
  • 项目类别:
  • 资助金额:
    $372.43万
  • 财政年份:
    2019
  • 负责人:
    JONATHAN G SEIDMAN
  • 依托单位:
Mapping Transcriptional Networks in Cardiac Development
  • 批准号:
    8127892
  • 项目类别:
  • 资助金额:
    $180.7万
  • 财政年份:
    2009
  • 负责人:
    JONATHAN G SEIDMAN
  • 依托单位:
Mapping Transcriptional Networks in Cardiac Development
  • 批准号:
    7769128
  • 项目类别:
  • 资助金额:
    $29.96万
  • 财政年份:
    2009
  • 负责人:
    JONATHAN G SEIDMAN
  • 依托单位:
Mapping Transcriptional Networks in Cardiac Development
  • 批准号:
    8712538
  • 项目类别:
  • 资助金额:
    $185.55万
  • 财政年份:
    2009
  • 负责人:
    JONATHAN G SEIDMAN
  • 依托单位:
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