Generating transplantable neurons by in vivo combinatorial screening of transcrip

通过体内转录组合筛选产生可移植神经元

基本信息

项目摘要

Generating transplantable neurons by in vivo combinatorial screening of transcription regulator RNAs Problem: Neuronal injuries, degenerative diseases, and disorders such as Parkinson's and Huntington's diseases, epilepsy, and stroke affect tens of millions of individuals in the USA alone, and are becoming a more severe problem with the aging population. Although significant effort is being invested for identification of the molecular processes involved, existing chemical and physical therapies do not promise restoration of lost neuronal circuits beyond the short term remedy of symptoms. A potential solution could be the use of tissue transplantation to restore neuronal function. There have been human trials where transplantations, although variably, have resulted in functional recovery in Parkinson's (PD) and Huntington's (HD) diseases. Cell replacement for epilepsy and stroke has shown promise in several rodent studies, and the transplantation of retinal cells to treat degenerative eye diseases is under evaluation in several laboratories. Although there are still many unknowns, in various cases, it has been observed that functional improvements occurred owing to the integration of grafted neurons into existing neuronal networks, and was not simply due to trophic factors released by the transplanted cells. Several studies have also shown that the adult brain is remarkably capable of providing signaling cues that guide the growth of neuronal processes and induce formation of synapses with desired targets when correct cell types are present within the grafts. Xenograft studies with animals larger than rodents have shown that these cues can function over long distances. However, while tissue transplantation may have significant potential, there are many scientific unknowns and several fundamental challenges exist as outlined in this proposal. Handling complexity of these challenges is currently beyond the capabilities of the largest laboratories in the world, and will likely require deployment of systematic high-throughput approaches that will not only address fundamental biological questions and rapidly test various hypotheses without bias, but also provide results that are, if promising, translatable to clinical trials. Challenges: (1) Human fetal or iPS-derived cells are either too scarce or tumorogenic for clinical use, (2) Transplanted cells are too heterogeneous, (3) Preparation of transplanted cells in the correct and synchronized stages is currently impossible, (4) Physical site of transplantation significantly varies from experiment to experiment, (5) Existing in vivo transplantation assays are too slow for screening of multitudes of different hypotheses. Innovation & Methodology: Here, we propose a systematic, unbiased, in vivo, large-scale, and high throughput approach for overcoming these challenges to in vitro differentiation and in vivo testing of transplanted neuronal tissues. The proposed methodologies here are applicable to most transplantation paradigms. The key technologies and strategies we will develop include: (A) RNA-mediated nuclear reprogramming without genetic modification, (B) Reprogramming human cell lineages by systematic ultra-high-throughput screening of RNA transcription factor cocktails using a massively parallel technology, (C) High-throughput transplantation of human cells into rodents (with minimal rodent sacrifice) and in vivo analysis of neuronal survival and integration.
通过转录调节rna的体内组合筛选产生可移植神经元

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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Mehmet Fatih Yanik其他文献

Functional regeneration after laser axotomy
激光轴突切断后的功能性再生
  • DOI:
    10.1038/432822a
  • 发表时间:
    2004-12-15
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Mehmet Fatih Yanik;Hulusi Cinar;Hediye Nese Cinar;Andrew D. Chisholm;Yishi Jin;Adela Ben-Yakar
  • 通讯作者:
    Adela Ben-Yakar
Verfahren zur zelltransfektion mit nukleinsäuren
核转移的影响
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mehmet Fatih Yanik;Matthew Angel
  • 通讯作者:
    Matthew Angel
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments
基于深度学习的复杂环境中相互作用的灵长类动物和小鼠的识别、跟踪、姿势估计和行为分类
  • DOI:
    10.1038/s42256-022-00477-5
  • 发表时间:
    2022-04-21
  • 期刊:
  • 影响因子:
    23.900
  • 作者:
    Markus Marks;Qiuhan Jin;Oliver Sturman;Lukas von Ziegler;Sepp Kollmorgen;Wolfger von der Behrens;Valerio Mante;Johannes Bohacek;Mehmet Fatih Yanik
  • 通讯作者:
    Mehmet Fatih Yanik

Mehmet Fatih Yanik的其他文献

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{{ truncateString('Mehmet Fatih Yanik', 18)}}的其他基金

Generating transplantable neurons by in vivo combinatorial screening of transcrip
通过体内转录组合筛选产生可移植神经元
  • 批准号:
    8337690
  • 财政年份:
    2011
  • 资助金额:
    $ 80.25万
  • 项目类别:
Generating transplantable neurons by in vivo combinatorial screening of transcrip
通过体内转录组合筛选产生可移植神经元
  • 批准号:
    8142682
  • 财政年份:
    2011
  • 资助金额:
    $ 80.25万
  • 项目类别:
Generating transplantable neurons by in vivo combinatorial screening of transcrip
通过体内转录组合筛选产生可移植神经元
  • 批准号:
    8912552
  • 财政年份:
    2011
  • 资助金额:
    $ 80.25万
  • 项目类别:
Generating transplantable neurons by in vivo combinatorial screening of transcrip
通过体内转录组合筛选产生可移植神经元
  • 批准号:
    8508325
  • 财政年份:
    2011
  • 资助金额:
    $ 80.25万
  • 项目类别:
HIGH-THROUGHPUT IN VIVO SUBCELLULAR-RESOLUTION VERTEBRATE SCREENING PLATFORM
高通量体内亚细胞分辨率脊椎动物筛选平台
  • 批准号:
    8268464
  • 财政年份:
    2010
  • 资助金额:
    $ 80.25万
  • 项目类别:
HIGH-THROUGHPUT IN VIVO SUBCELLULAR-RESOLUTION VERTEBRATE SCREENING PLATFORM
高通量体内亚细胞分辨率脊椎动物筛选平台
  • 批准号:
    8660716
  • 财政年份:
    2010
  • 资助金额:
    $ 80.25万
  • 项目类别:
HIGH-THROUGHPUT IN VIVO SUBCELLULAR-RESOLUTION VERTEBRATE SCREENING PLATFORM
高通量体内亚细胞分辨率脊椎动物筛选平台
  • 批准号:
    8477325
  • 财政年份:
    2010
  • 资助金额:
    $ 80.25万
  • 项目类别:
HIGH-THROUGHPUT IN VIVO SUBCELLULAR-RESOLUTION VERTEBRATE SCREENING PLATFORM
高通量体内亚细胞分辨率脊椎动物筛选平台
  • 批准号:
    8150903
  • 财政年份:
    2010
  • 资助金额:
    $ 80.25万
  • 项目类别:
HIGH-THROUGHPUT IN VIVO SUBCELLULAR-RESOLUTION VERTEBRATE SCREENING PLATFORM
高通量体内亚细胞分辨率脊椎动物筛选平台
  • 批准号:
    8016924
  • 财政年份:
    2010
  • 资助金额:
    $ 80.25万
  • 项目类别:
High-throughput single-cell-resolution genetic and pharmacological screens using
高通量单细胞分辨率遗传和药理学筛选
  • 批准号:
    8053299
  • 财政年份:
    2009
  • 资助金额:
    $ 80.25万
  • 项目类别:

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