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Comprehensive Somatic Variant Characterization at the HGSC

Comprehensive Somatic Variant Characterization at the HGSC
HGSC 的综合体细胞变异表征
批准号:
10662645
负责人:
RUI CHEN
金额:
$250.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-01 至 2028-04-30

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中文摘要
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英文摘要
Studies of somatic mutations have so far focused on pathogenic variation, leading to cancer or severe disease. The Somatic Mosaicism Across Human Tissues (SMaHT) program will now expand knowledge of this critical class of genomic variation in normal tissues and build a comprehensive understanding of the biology of somatic variation in all contexts. The Genome Characterization Center at the Baylor College of Medicine Human Genome Sequencing Center (HGSC) will characterize variation in 750 tissue samples - 1/3 of the Program’s 15 samples from each of 150 individuals. Novel steps have been incorporated into our study design to enable comprehensive discovery of somatic mutations. Both common core assay types (WGS short-read, long read and bulk RNAseq) and two additional assays (nanoSeq and snRNAseq) that our group specializes will be used for data generation. Benchmark standards, harmonized data structures and SOPs will be created in collaboration with other Network members using established state-of-the-art methods for discovery and orthogonal approaches for technical validation. New technologies that satisfy performance criteria will be introduced into production. Statistical models will guide tissue-subsampling and sequencing strategies, set the current thresholds with further room for improvement. NanoSeq and single nuclear RNA procedures will each be modified for enhanced performance and close collaboration with investigators developing additional tools will ensure optimal discovery. Local analyses will generate lists of putative variants, with a particular focus upon characterization of long read sequence data. The latter will enable modelling of transposition events, revealed within evidence for structural variation, as well as changes in patterns of epigenetic marks. All data will be subjected to rigorous QA/QC, in collaboration with the DAC, and mirrored in the centralized data repository.
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Single Cell Spatial Transcriptomics Shared Instrument at the BCM Core Facility
  • 批准号:
    10414324
  • 项目类别:
  • 资助金额:
    $30.4万
  • 财政年份:
    2022
  • 负责人:
    RUI CHEN
  • 依托单位:
Deep-Learning-Derived Endophenotypes from Retina Images
Effects of cornea epithelial barrier disruption on the cornea trigeminal neural circuit
  • 批准号:
    10586519
  • 项目类别:
  • 资助金额:
    $119.33万
  • 财政年份:
    2022
  • 负责人:
    RUI CHEN
  • 依托单位:
Deep-Learning-Derived Endophenotypes from Retina Images
国内基金
海外基金
企业绩效评价的DEA-Benchmarking方法及动态博弈研究
  • 批准号:
    70571028
  • 项目类别:
    面上项目
  • 资助金额:
    16.5万元
  • 批准年份:
    2005
  • 负责人:
    杨印生
  • 依托单位: