课题基金 / 基金详情

Simultaneous high-throughput functional, transcriptomic and connectivity profiling using FUNseq

Simultaneous high-throughput functional, transcriptomic and connectivity profiling using FUNseq
使用 FUNseq 同时进行高通量功能、转录组和连接分析
批准号:
10413650
负责人:
Andreas Tolias
金额:
$381.62万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-05-01 至 2025-04-30

项目摘要

项目成果

Andreas Tolias的其他基金

相似基金

相关文献

中文摘要
翻译
项目总结
英文摘要
Project Summary Recent advances in technology driven by the BRAIN Initiative have yielded new methods for characterizing the ac- tivity, transcriptome, and microscale anatomy of neurons throughout the brain, and have increased the throughput of these techniques by orders of magnitude. It is currently possible to record the simultaneous activity of popu- lations of neurons on the order of tens of thousands of neurons in awake behaving animals in vivo using large field of view multiphoton imaging or high density silicon probes, and new machine learning methods are enabling more comprehensive functional characterization than ever before. Transcriptomic profiling can be accomplished at scales of tens or hundreds of thousands of neurons in vitro. Finally the microscale anatomy of axonal pro- jections and connections across the brain can also be assessed in tens of thousands of neurons in the same animal using dense electron microscopy reconstruction for local circuits, or (as we propose here) RNA barcoding methods for local and long-range axonal projections. Each of these techniques on their own can provide im- portant clues about the diversity of neurons and their organization into canonical circuits with specific functional, transcriptomic, or axonal projection profiles. While these techniques are all being pushed forward independently, they remain effectively siloed from each other, precluding multi-modal characterization of the same neurons in the same animal. Developing a comprehensive pipeline to characterize transcriptomic, axonal projections and in vivo functional fingerprints as we propose to do here would enable synergistic analyses of cell-type composition across these multiple dimensions. Finally, because of the low cost and high throughput of this approach, experi- ments using this novel pipeline could be repeated many times in different animals to answer pressing questions about how the relationship between the function, structure, and transcriptome of neurons changes across devel- opmental or disease states. In this proposal, we will leverage our team's combined expertise in in vivo functional imaging and Machine Learning to characterize the complex functional properties of neurons in primary visual cortex of the mouse, and novel sequencing techniques developed by PI Zador to combine transcriptomic profiling with RNA barcoding to measure single-neuron projection patterns throughout the brain at axonal resolution.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
BRAIN CONNECTS: Synaptic resolution whole-brain circuit mapping of molecularly defined cell types using a barcoded rabies virus
  • 批准号:
    10672786
  • 项目类别:
  • 资助金额:
    $218.9万
  • 财政年份:
    2023
  • 负责人:
    Andreas Tolias
  • 依托单位:
A MOLECULAR CODE FOR CONNECTIVITY IN THE NEOCORTEX
  • 批准号:
    9109046
  • 项目类别:
  • 资助金额:
    $31.3万
  • 财政年份:
    2013
  • 负责人:
    Andreas Tolias
  • 依托单位:
A MOLECULAR CODE FOR CONNECTIVITY IN THE NEOCORTEX
  • 批准号:
    8743292
  • 项目类别:
  • 资助金额:
    $31.3万
  • 财政年份:
    2013
  • 负责人:
    Andreas Tolias
  • 依托单位:
A MOLECULAR CODE FOR CONNECTIVITY IN THE NEOCORTEX
  • 批准号:
    8639755
  • 项目类别:
  • 资助金额:
    $31.3万
  • 财政年份:
    2013
  • 负责人:
    Andreas Tolias
  • 依托单位:
海外基金