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Cell type atlasing of whole human brains using HOLiS: an optimized pipeline for staining, clearing, imaging, and analysis

Cell type atlasing of whole human brains using HOLiS: an optimized pipeline for staining, clearing, imaging, and analysis
使用 HOLiS 对整个人脑进行细胞类型图谱分析:用于染色、透明化、成像和分析的优化流程
批准号:
10377810
负责人:
Elizabeth M. C. Hillman
金额:
$912.19万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-22 至 2024-09-21

项目摘要

项目成果

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中文摘要
翻译
项目摘要(摘要) 长期以来,全面了解人类大脑中的全脑细胞组织 被认为是理解复杂的大脑功能的关键基础,包括我们作为人类是谁。 在这个项目中,我们计划接受这一挑战,建立一条能够对整个人类进行成像的管道 大脑的细胞分辨率。我们相信,我们组织处理的新技术的融合 而透明、超高速3D显微镜和高效分析将使这个问题变得容易处理和可扩展, 标志着人脑研究的新范式。 作为BICCN的一部分,奥斯汀和吴实验室在破译细胞方面已经取得了重大进展 小鼠大脑的类型和三维组织逻辑,使用遗传和分子标记 结合整个小鼠的大脑成像。然而,从小鼠到人脑的扩展努力约为2,000倍 需要技术和概念创新,以最大限度地提取信息并确保高效率。 我们的方法将集中在开发的新的人脑优化薄片Holis显微镜平台上 希尔曼实验室的速度、效率和多路复用能力预计将使蜂窝- 在短短几天内对整个人脑进行分辨率成像。Holis平台得到了一个 吴实验室开发的优化人脑组织制备新方法HuB.Clear, 针对高度易处理的5毫米厚全人脑切片的多重染色和清除进行了优化。我们的 由奥斯汀实验室开发的计算数据分析管道将利用基于深度学习的数据 分析并允许在整个大脑7T MRI体积内注册大脑中的每个细胞。我们的新人类 大脑共同坐标框架将包括基于多重蛋白质图谱的细胞多样性分析 和精确的空间特征。在为期3年的项目期间,将实现以下基准: 我们的组织制备方法将提供:1)在保存组织形态的同时完成组织清除,以便 忠实的数据产生和与MRI的集成,以及2)可靠和定量的整装免疫标记 具有不同的靶点,以允许在整个大脑中进行多重分子图谱。我们的成像技术将 提供:1)足够的分辨率和多路复用能力;2)高吞吐速度 对多个完整的人脑进行分析。我们的数据分析方法将提供:1)具备 处理整个人脑成像数据,以及2)针对Holis优化的算法以提取和解释 利用计算机科学的最新进展提供丰富的分子和细胞信息。 由此产生的管道将很容易扩展和共享,具有最大的效益-成本比,打开 在接下来的几年里,为100英尺长的S甚至1000英寸长的S的人脑成像。我们的结果将把细胞多样性和 在足够的细胞分辨率下,整个人脑的分子特征的形态学和 与BICCN的其他努力协同,促进进一步的功能调查和跨物种比较。
英文摘要
Project Summary (Abstract) Gaining a comprehensive understanding of brain-wide cellular organization in the human brain has long been recognized as a critical foundation for understanding complex brain functions, including who we are as humans. In this project we propose to take on this challenge and establish a pipeline capable of imaging the entire human brain at cellular resolution. We believe that the convergence of our novel technologies for tissue processing and clearing, ultra-fast 3D microscopy and highly efficient analysis will make this problem tractable and scalable, marking a new paradigm in human brain research. As part of BICCN, the Osten and Wu labs, have already made significant progress towards deciphering the cell type and three-dimensional organizational logic of the mouse brain, using both genetic and molecular labeling in combination with whole mouse brain imaging. However, scaling efforts ~2,000x from mouse to human brain requires both technical and conceptual innovation to extract maximum information and ensure high efficiency. Our approach will center on a new Human brain Optimized Light-Sheet HOLiS microscopy platform developed by the Hillman lab, whose speed, efficiency and multiplexing capabilities are expected to enable cellular- resolution imaging across the entire human brain in only a few days. The HOLiS platform is complemented by a new optimized tissue preparation method for human brain developed by the Wu lab, named HuB.Clear, optimized for multiplexed staining and clearing of highly tractable 5 mm thick, full human brain slabs. Our computational data analysis pipelines developed by the Osten lab will leverage deep learning-based data analysis and permit every cell in the brain to be registered within the whole brain 7T MRI volume. Our new human brain common coordinate framework will include cellular diversity analysis based on multiplex protein profiling and precise spatial characterization. The following benchmarks will be achieved during the 3-year project: Our tissue preparation method will provide: 1) complete tissue clearing while preserving morphology to allow faithful data production and integration with MRI, and 2) reliable and quantitative whole mount immunolabeling with diverse targets to allow multiplex molecular profiling across the entire brain. Our imaging technology will provide: 1) sufficient resolution and multiplexing capacity, and 2) high-throughput speed to allow exhaustive analyses across multiple whole human brains. Our data analysis methods will provide: 1) infrastructure capable of processing whole human brain imaging data, and 2) algorithms optimized for HOLiS to extract and interpret rich molecular and cellular information with the latest advances in computer science. The resulting pipeline will be easily scalable and sharable with maximized benefit-cost ratio, opening the door to imaging 100's or even 1,000's of human brains in coming years. Our results will link cellular diversity and morphology with molecular signatures across the entire human brain at a sufficient cellular resolution and to facilitate further functional investigations and cross-species comparisons in synergy with other BICCN efforts.
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会议论文
Characterizing long-range cortical and subcortical dynamics in relation to corticospinal output and motor control
  • 批准号:
    10224732
  • 项目类别:
  • 资助金额:
    $48.37万
  • 财政年份:
    2017
  • 负责人:
    Elizabeth M. C. Hillman
  • 依托单位:
Characterizing long-range cortical and subcortical dynamics in relation to corticospinal output and motor control
SCAPE microscopy for high-speed in-vivo volumetric microscopy in behaving organisms
Imaging the neuronal and metabolic basis of resting state connectivity mapping
海外基金