PIPELINE Facility Core

管道设施核心

基本信息

  • 批准号:
    10390324
  • 负责人:
  • 金额:
    $ 11.37万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-05-15 至 2024-03-31
  • 项目状态:
    已结题

项目摘要

ABSTRACT: PIPELINE FACILITY CORE The Overall Goal of the Promoting Impact of Precision EHS by Leveraging Instrumentation, NextGen and Emerging Technologies (PIPELINE) Core is to advance precision environmental health research by providing access to expertise and technologies, and facilitating effective utilization of “omic” technologies, across the parent organizations of the GC-CPEH. The PIPELINE Facility Core provides efficient systems level access, enabling researchers from all three Thematic Focus Areas to incorporate multiple NextGen “omics” technologies into their research. In so doing, the PIPELINE Core will provide seamless access to resources and data integration across technologies and institutions of the GC-CPEH research base. PIPELINE resources are 1) CellOmics (high-throughput and high-content imaging and screening, 2) Genomics, Epigenomics and Transcriptomics, 3) Proteomics, 4) Metabolomics, 5) Microbiome and Metagenomics and 6) MultiOmic Data Analysis. To utilize these resources, the PIPELINE Facility Core 1) provides consultation to Center members to identify the best state-of-the-art technologies to meet their research goals; 2) enables efficient project design and comprehensive data generation; and, 3) provides robust bioinformatic analyses and data interpretation integrating multiple platforms to ultimately provide systems-level knowledge. Importantly, resource access and utilization are facilitated by subject-matter experts serving as Resource Navigators for GC-CPEH members. Resource Navigators prioritize access, and assist members with project design, data generation and informatics analyses. This Core also supports the educational needs of GC-CPEH members using “omics” methods through seminars and workshops, access to the Matching Funds Core Utilization Program to reduce cost of services, and participation in the Career Development Leader-in- Training program. The following Specific Aims are designed to ensure the PIPELINE Facility Core achieves the goal of advancing precision environmental health research for both individual investigators and cross-Center collaborations. Specific Aim 1: Provide high-quality, user-friendly “omics” resources to accelerate precision environmental health research and increase the impact of the GC-CPEH research base. Specific Aim 2: Facilitate utilization of multiple “omic” resources that contributes to career development of promising new investigators, and enables utilization of new technologies by senior investigators. Specific Aim 3: Enhance the environmental health identity and impact of GC-CPEH research by facilitating collaboration, contributing to high-impact publications, and acquiring extramural grant support for EHS research.
摘要:管道设施核心

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Christopher I. Amos其他文献

Shared susceptibility variations in autoimmune diseases: a brief perspective on common issues
自身免疫性疾病的共同易感性变异:对常见问题的简要看法
  • DOI:
    10.1038/gene.2008.92
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    5
  • 作者:
    M. Seldin;Christopher I. Amos
  • 通讯作者:
    Christopher I. Amos
Hereditary medullary thyroid carcinoma: genetic annalysis of three related syndromes. Groupe d'Etude des Tumeurs a Calcitonine.
遗传性甲状腺髓样癌:三种相关综合征的遗传分析。
  • DOI:
  • 发表时间:
    1989
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hagay Sobol;S. A. Narod;I. Schuffenecker;Christopher I. Amos;Ezekowitz Ra;Lenoir Gm
  • 通讯作者:
    Lenoir Gm
Estimating the power of linkage analysis in hereditary breast cancer.
估计连锁分析在遗传性乳腺癌中的功效。
Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk
肺癌的多祖先全基因组关联研究荟萃分析揭示了易感位点并阐明了与吸烟无关的遗传风险
  • DOI:
    10.1038/s41467-024-52129-4
  • 发表时间:
    2024-10-04
  • 期刊:
  • 影响因子:
    15.700
  • 作者:
    Bryan R. Gorman;Sun-Gou Ji;Michael Francis;Anoop K. Sendamarai;Yunling Shi;Poornima Devineni;Uma Saxena;Elizabeth Partan;Andrea K. DeVito;Jinyoung Byun;Younghun Han;Xiangjun Xiao;Don D. Sin;Wim Timens;Jennifer Moser;Sumitra Muralidhar;Rachel Ramoni;Rayjean J. Hung;James D. McKay;Yohan Bossé;Ryan Sun;Christopher I. Amos;Saiju Pyarajan
  • 通讯作者:
    Saiju Pyarajan
Uncovering shared genetic features between inflammatory bowel disease and systemic lupus erythematosus
  • DOI:
    10.1038/s41598-025-98991-0
  • 发表时间:
    2025-05-01
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Vikram R. Shaw;Jinyoung Byun;Catherine Zhu;Rowland W. Pettit;Jeffrey M. Cohen;Younghun Han;Christopher I. Amos
  • 通讯作者:
    Christopher I. Amos

Christopher I. Amos的其他文献

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{{ truncateString('Christopher I. Amos', 18)}}的其他基金

International Consortium for the Genetics of Biliary Tract Cancers Cholangiocarcinoma Genome Wide Association Study
国际胆道癌遗传学联盟胆管癌全基因组关联研究
  • 批准号:
    10608848
  • 财政年份:
    2023
  • 资助金额:
    $ 11.37万
  • 项目类别:
Data & Analysis Core
数据
  • 批准号:
    10657451
  • 财政年份:
    2022
  • 资助金额:
    $ 11.37万
  • 项目类别:
Data & Analysis Core
数据
  • 批准号:
    10410755
  • 财政年份:
    2022
  • 资助金额:
    $ 11.37万
  • 项目类别:
Genetic analysis of lung cancer susceptibility
肺癌易感性基因分析
  • 批准号:
    10322757
  • 财政年份:
    2021
  • 资助金额:
    $ 11.37万
  • 项目类别:
Optimizing colorectal cancer prevention: a multi-disciplinary, population-based investigation of serrated polyps using risk prediction and modeling
优化结直肠癌预防:利用风险预测和建模对锯齿状息肉进行多学科、基于人群的调查
  • 批准号:
    10436886
  • 财政年份:
    2020
  • 资助金额:
    $ 11.37万
  • 项目类别:
Sequencing Familial Lung Cancer
家族性肺癌测序
  • 批准号:
    9916400
  • 财政年份:
    2020
  • 资助金额:
    $ 11.37万
  • 项目类别:
Optimizing colorectal cancer prevention: a multi-disciplinary, population-based investigation of serrated polyps using risk prediction and modeling
优化结直肠癌预防:利用风险预测和建模对锯齿状息肉进行多学科、基于人群的调查
  • 批准号:
    9916850
  • 财政年份:
    2020
  • 资助金额:
    $ 11.37万
  • 项目类别:
Sequencing Familial Lung Cancer
家族性肺癌测序
  • 批准号:
    10318921
  • 财政年份:
    2020
  • 资助金额:
    $ 11.37万
  • 项目类别:
Optimizing colorectal cancer prevention: a multi-disciplinary, population-based investigation of serrated polyps using risk prediction and modeling
优化结直肠癌预防:利用风险预测和建模对锯齿状息肉进行多学科、基于人群的调查
  • 批准号:
    10650289
  • 财政年份:
    2020
  • 资助金额:
    $ 11.37万
  • 项目类别:
Optimizing colorectal cancer prevention: a multi-disciplinary, population-based investigation of serrated polyps using risk prediction and modeling
优化结直肠癌预防:利用风险预测和建模对锯齿状息肉进行多学科、基于人群的调查
  • 批准号:
    10207552
  • 财政年份:
    2020
  • 资助金额:
    $ 11.37万
  • 项目类别:

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