CSHL Advanced Techniques in Molecular Neuroscience Course

CSHL 分子神经科学高级技术课程

基本信息

  • 批准号:
    10355515
  • 负责人:
  • 金额:
    $ 12.86万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-07-06 至 2025-02-28
  • 项目状态:
    未结题

项目摘要

ABSTRACT CSHL Laboratory Course in Advanced Techniques in Molecular Neuroscience The proposed Cold Spring Harbor Laboratory (CSHL) course Advanced Techniques in Molecular Neuroscience (ATMN), to be held annually in July 2020– 2024, is part of the CSHL's postgraduate training program in neurobiology. ATMN is a short, intensive sixteen day hands-on course which prepares students to enter directly into research that makes use of advanced and/or specialized molecular techniques in contemporary aspects of neurobiological research. Experimental modules in the course will include quantitative assays of RNAs bound to protein by crosslinking immunoprecipitation (CLIP), translating mRNA isolation from specified neural subtypes (TRAP), tissue clearing methodologies combined with single RNA molecule detection by hybridization chain reaction (HCR), preparation of pure astrocyte and neural progenitor cell cultures, design and use of engineered viral vectors in neuroscience research, design and use of CRISPR/Cas genome editing tools, practical exercises in gene delivery systems in vivo, genome-wide assessment of chromatin state and transcription factor binding by ATACseq and Cut & Run, and use and design of BAC transgenic vectors. Experimental techniques are taught in the context of the broader conceptual advances that they may provide. The course invites lecturers who have made significant contributions in their fields to give up-to-the-minute reports on current research. The trainees are chosen by the course faculty from larger pools of applicants and range from graduate students to senior investigators and research physicians. Because of the short duration of this course, senior, as well as junior individuals can attend and receive a short, intense period of training in an environment remote from other demands on their time and attention. The ATMN course also provides an unusual opportunity for established scientists to apply these advanced techniques to their own research interests, or to retrain in an important specialty within neuroscience with which they may not be familiar. Methods and concepts taught in the course are disseminated to the wider research community through the publication of laboratory manuals and online resources.
摘要

项目成果

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DAVID J. STEWART其他文献

DAVID J. STEWART的其他文献

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{{ truncateString('DAVID J. STEWART', 18)}}的其他基金

CSHL Single Cell Analysis Course (2023-2027)
CSHL单细胞分析课程(2023-2027)
  • 批准号:
    10627446
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL 2023 Eukaryotic DNA Replication and Genome Maintenance Conference
CSHL 2023真核DNA复制与基因组维护会议
  • 批准号:
    10677192
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL 2023 Eukaryotic mRNA Processing Conference
CSHL 2023真核mRNA加工会议
  • 批准号:
    10679367
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL 2023 Conference on Biology of Cancer: Microenvironment & Metastasis
CSHL 2023癌症生物学会议:微环境
  • 批准号:
    10750261
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL 2023 Brain Barriers Conference
CSHL 2023脑障碍会议
  • 批准号:
    10608583
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL 2023 Mechanisms of Metabolic Signaling Conference
CSHL 2023代谢信号机制会议
  • 批准号:
    10751346
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL 2023 Neurobiology of Drosophila Conference
CSHL 2023果蝇神经生物学会议
  • 批准号:
    10669936
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL 2023 Conference on Microbial Pathogenesis & Host Response
CSHL 2023微生物发病机制会议
  • 批准号:
    10675902
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL The Biology of Genomes Conference (2023-2027)
CSHL基因组生物学会议(2023-2027)
  • 批准号:
    10608266
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:
CSHL 2023 Conference on Telomeres & Telomerase
CSHL 2023端粒会议
  • 批准号:
    10671999
  • 财政年份:
    2023
  • 资助金额:
    $ 12.86万
  • 项目类别:

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