Genome-Wide Analysis of Transcription Factor Function in Prostate Cancer

前列腺癌转录因子功能的全基因组分析

基本信息

  • 批准号:
    7886586
  • 负责人:
  • 金额:
    $ 24.78万
  • 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
  • 起止时间:
    2007-08-22 至 2012-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The androgen receptor (AR), a ligand-dependent transcription factor, plays a key role in the onset and progression of prostate cancer and is a therapeutic target. Surprisingly little is known of AR binding, AR collaborating transcription factors, and regulation of AR target genes in the human genome. The overall goal of this proposal is to investigate the combinatorial transcriptional regulation of protein-coding genes and a class of non-coding genes (microRNA [miRNA]) by AR and its collaborating transcription factors from a genome-wide view in androgen-dependent (AD) and -independent (Al) prostate cancer cells. To address these issues, we will use chromatin immunoprecipitation (ChIP) combined with human whole genome interrogating tiling microarrays (ChlP-on-chip) to study in vivo binding of transcription factors and their regulatory function in AD and Al prostate cancer. Our specific aims are to: (1) Determine whether distinct AR binding, AR collaborating transcription factor partners and AR target genes exist in AD and Al prostate cancer cells. AR ChlP-on-chip assays will be performed in AD and Al prostate cancer cells. AR binding, its collaborating transcription factors and AR target genes will be predicted by bioinformatics algorithms and experimentally validated. (2) Determine how AR and its collaborating transcription factors combinatorially regulate AR target genes in AD and Al prostate cancer cells. Collaborating transcription factors ChlP-on-chip will be performed and correlated with AR ChlP-on-chip and gene expression profiles to identify combinatorial transcriptional regulatory codes for AR target genes in AD and Al prostate cancer cells. (3) Determine whether AR and its collaborating transcription factors regulate miRNAs in AD versus Al prostate cancer cells. RNA polymerase II (pol II) ChlP-on-chip will be performed in AD and Al prostate cancer cells. Pol II binding will be correlated to AR and its collaborating transcription factors bindings and miRNA expression profiles to identify differential transcription factors-regulated miRNA expression in AD and Al prostate cancer cells. In summary, these studies will increase our fundamental understanding of differential transcriptional regulation of target coding and non-coding genes by AR and its collaborating transcription factors on a genome-wide level in AD and Al prostate cancer, which will lead to identification of new molecular targets for therapeutic intervention in AD and Al prostate cancer.
描述(申请人提供):雄激素受体(AR)是一种配体依赖性转录因子,在前列腺癌的发生和进展中起关键作用,是治疗靶点。令人惊讶的是,很少有人知道AR结合,AR协作转录因子,以及人类基因组中AR靶基因的调控。该提案的总体目标是从全基因组角度研究雄激素依赖性(AD)和非依赖性(Al)前列腺癌细胞中AR及其协作转录因子对蛋白质编码基因和一类非编码基因(microRNA [miRNA])的组合转录调控。为了解决这些问题,我们将使用染色质免疫沉淀(ChIP)结合人类全基因组询问平铺微阵列(ChIP芯片),研究在体内结合的转录因子和它们的调节功能,在AD和Al前列腺癌。我们的具体目标是:(1)确定AD和Al前列腺癌细胞中是否存在不同的AR结合、AR协作转录因子配偶体和AR靶基因。AR ChIP芯片测定将在AD和Al前列腺癌细胞中进行。AR结合,其协作转录因子和AR靶基因将通过生物信息学算法预测和实验验证。(2)确定AR及其协作转录因子如何组合调节AD和Al前列腺癌细胞中的AR靶基因。将进行协同转录因子ChIP芯片,并将其与AR ChIP芯片和基因表达谱相关联,以鉴定AD和Al前列腺癌细胞中AR靶基因的组合转录调控代码。(3)确定AR及其协作转录因子是否调节AD与Al前列腺癌细胞中的miRNA。RNA聚合酶II(pol II)ChIP芯片将在AD和Al前列腺癌细胞中进行。Pol II结合将与AR及其协作转录因子结合和miRNA表达谱相关,以鉴定AD和Al前列腺癌细胞中差异转录因子调节的miRNA表达。总之,这些研究将增加我们对AD和Al前列腺癌中AR及其协作转录因子在全基因组水平上对靶编码和非编码基因的差异转录调控的基本理解,这将导致识别用于AD和Al前列腺癌治疗干预的新分子靶点。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Qianben Wang其他文献

Qianben Wang的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Qianben Wang', 18)}}的其他基金

Targeting MED31-driven transcription recycling in lethal prostate cancer
靶向致死性前列腺癌中 MED31 驱动的转录循环
  • 批准号:
    10750456
  • 财政年份:
    2023
  • 资助金额:
    $ 24.78万
  • 项目类别:
Novel genomic mechanism for ligand-dependent transcription by androgen receptor
雄激素受体配体依赖性转录的新基因组机制
  • 批准号:
    9489287
  • 财政年份:
    2017
  • 资助金额:
    $ 24.78万
  • 项目类别:
Novel genomic mechanism for ligand-dependent transcription by androgen receptor
雄激素受体配体依赖性转录的新基因组机制
  • 批准号:
    9310668
  • 财政年份:
    2017
  • 资助金额:
    $ 24.78万
  • 项目类别:
Regulation of androgen receptor function by H3K4 methylation in prostate cancer
H3K4 甲基化对前列腺癌中雄激素受体功能的调节
  • 批准号:
    8895857
  • 财政年份:
    2011
  • 资助金额:
    $ 24.78万
  • 项目类别:
Regulation of androgen receptor function by H3K4 methylation in prostate cancer
H3K4 甲基化对前列腺癌中雄激素受体功能的调节
  • 批准号:
    8700336
  • 财政年份:
    2011
  • 资助金额:
    $ 24.78万
  • 项目类别:
Regulation of androgen receptor function by H3K4 methylation in prostate cancer
H3K4 甲基化对前列腺癌中雄激素受体功能的调节
  • 批准号:
    8518264
  • 财政年份:
    2011
  • 资助金额:
    $ 24.78万
  • 项目类别:
Regulation of androgen receptor function by H3K4 methylation in prostate cancer
H3K4 甲基化对前列腺癌中雄激素受体功能的调节
  • 批准号:
    8108055
  • 财政年份:
    2011
  • 资助金额:
    $ 24.78万
  • 项目类别:
Genome-Wide Analysis of Transcription Factor Function in Prostate Cancer
前列腺癌转录因子功能的全基因组分析
  • 批准号:
    7314999
  • 财政年份:
    2007
  • 资助金额:
    $ 24.78万
  • 项目类别:
Genome-Wide Analysis of Transcription Factor Function in Prostate Cancer
前列腺癌转录因子功能的全基因组分析
  • 批准号:
    8094401
  • 财政年份:
    2007
  • 资助金额:
    $ 24.78万
  • 项目类别:
Genome-Wide Analysis of Transcription Factor Function in Prostate Cancer
前列腺癌转录因子功能的全基因组分析
  • 批准号:
    7811247
  • 财政年份:
    2007
  • 资助金额:
    $ 24.78万
  • 项目类别:

相似海外基金

CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
  • 批准号:
    2338816
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
  • 批准号:
    2348261
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
  • 批准号:
    2348346
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
  • 批准号:
    2348457
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
  • 批准号:
    2404989
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
  • 批准号:
    2339669
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
  • 批准号:
    EP/Y029089/1
  • 财政年份:
    2024
  • 资助金额:
    $ 24.78万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了