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Transcriptional Regulation of Stem Cell Differentiation into Motor Neurons

Transcriptional Regulation of Stem Cell Differentiation into Motor Neurons
干细胞分化为运动神经元的转录调控
批准号:
7920094
负责人:
David K Gifford
金额:
$128.52万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-15 至 2013-02-28

项目摘要

项目成果

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中文摘要
翻译
我们建议进一步了解神经发育过程中指导干细胞的分子机制,最终目标是实现基于干细胞的再生医学治疗神经退行性疾病。我们将在机制的背景下研究脊髓性肌萎缩(SMA)的病因
英文摘要
We propose to further our understanding of the molecular mechanisms that direct stem cells during neural development with the ultimate goal of enabling stem cell based regenerative medicine for neurodegenerative diseases. We will study the etiology of Spinal Muscular Atrophy (SMA) in the context of the mechanisms that we elucidate with the goal of developing clues to potential therapeutic targets for this developmental disease. To understand how external cues direct development, we will elucidate the transcriptional regulatory networks underlying neural development and represent this understanding in predictive computational models. Our studies will begin with undifferentiated embryonic stem (ES) cells, and using protocols that we have pioneered, we will elucidate the mechanism of ES cell development and fate commitment in specific neuron subtypes. Our work is structured into three projects. Project 1 will identify the transcription factors potentially involved in motor neuron identity, iteratively define transcriptional networks, and characterize the transcriptional consequences of SMA. Drawing upon these results, Project 2 will discover how key transcriptional and chromatin regulators control the gene expression programs of mouse and human embryonic stem cells and discover how this regulatory circuitry changes upon differentiation into spinal progenitor cells and then specific classes of central nervous system cells such as motor neurons. Using data from both of these projects, Project 3 will build a model of transcriptional regulation during neural development that integrates expression data, factor binding data, chromatin data, shRNA knock down data, and genome sequence in both human and mouse, examine the gene expression consequences of our SMA model in the context of the deduced regulatory networks, and explore the validity of the mouse model for human ES cell differentiation. Both Project 1 and 2 will test the models produced in Project 3.
期刊论文(21)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.neuron.2011.01.014
发表时间: 2011-02-24
期刊: Neuron
影响因子: 16.2
作者: [Chen JA, Huang YP, Mazzoni EO, Tan GC, Zavadil J, Wichterle H]
通讯作者: Wichterle H
DOI: 10.1002/cpsc.14
发表时间: 2016-08-17
期刊: Current protocols in stem cell biology
影响因子: --
作者: [Arbab, Mandana, Sherwood, Richard I]
通讯作者: Sherwood, Richard I
DOI: 10.1523/jneurosci.4280-10.2010
发表时间: 2010-11-10
期刊: The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子: --
作者: [Shi Y, Zhao X, Hsieh J, Wichterle H, Impey S, Banerjee S, Neveu P, Kosik KS]
通讯作者: Kosik KS
DOI: 10.1523/jneurosci.2208-10.2010
发表时间: 2010-09-08
期刊: The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子: --
作者: [Park GH, Maeno-Hikichi Y, Awano T, Landmesser LT, Monani UR]
通讯作者: Monani UR
17
    Machine learning optimized autoimmune therapeutics with a focus on Type 1 Diabetes
    • 批准号:
      10697204
    • 项目类别:
    • 资助金额:
      $30.65万
    • 财政年份:
      2023
    • 负责人:
      David K Gifford
    • 依托单位:
    Deep learning based antibody design using high-throughput affinity testing of synthetic sequences
    Deep learning based antibody design using high-throughput affinity testing of synthetic sequences
    High-Throughput Native Context Mapping and Modeling of Regulatory DNA
    海外基金