The number of cells being analyzed in single-cell projects continues to push the envelope. Last week, the Chan Zuckerberg Initiative (CZI) launched the Billion Cells Project—an effort to generate an unprecedented one billion cell dataset to fuel rapid progress in AI model development in biology. The CZI will collaborate with 10x Genomics, Ultima Genomics, and researchers for the project..

在单细胞项目中被分析的细胞数量继续扩大。上周，Chan Zuckerberg Initiative（CZI）启动了十亿细胞项目，旨在生成前所未有的十亿细胞数据集，以推动生物学AI模型开发的快速进展。CZI将与10x Genomics、Ultima Genomics和研究人员合作进行该项目。。

“CZI’s Billion Cells Project illustrates the power of collaboration to make previously unfathomable amounts of single-cell data available for researchers, which will help clarify our understanding of the fundamental biology underpinning human health and disease while supercharging efforts at the intersection of AI and biology,” said Jonah Cool, PhD, cell science senior science program officer at CZI.

“CZI的十亿细胞项目说明了合作的力量，可以为研究人员提供以前无法理解的单细胞数据，这将有助于澄清我们对人类健康和疾病基础生物学的理解，同时加强人工智能和生物学交叉点的努力，”CZI细胞科学高级科学计划官员乔纳·库尔博士说。

“Biology not only needs more data—the field needs more data faster and in interoperable formats to support AI models that address specific problems, and this project represents a unique approach to scaling and standardizing scientific outputs for AI and more.”.

“生物学不仅需要更多的数据，该领域还需要更多更快且可互操作的数据，以支持解决特定问题的人工智能模型，该项目代表了一种独特的方法来扩展和标准化人工智能等科学成果。”。

Once completed, the single-cell data set will bring new data and resolution to areas of biology such as mapping genetic perturbations across diverse cell types and tissues. The scale and cohesion of the data contributed to the Billion Cells Project will deliver the data with greater consistency than past efforts.

一旦完成，单细胞数据集将为生物学领域带来新的数据和解决方案，例如绘制不同细胞类型和组织的遗传扰动图。为十亿细胞项目贡献的数据的规模和凝聚力将比过去的努力提供更一致的数据。

This will enable researchers to train AI models and make discoveries across precision medicine and functional genomics..

这将使研究人员能够训练人工智能模型，并在精准医学和功能基因组学领域取得发现。。

Data generated from the Billion Cells Project will be used to train new virtual cell models using CZI’s computing system to derive greater insight into the vast dataset. As part of its commitment to open science to accelerate research and make science more inclusive, CZI plans to make the results from this initiative open source and freely available to help scientists around the world make new discoveries about human biology..

十亿细胞项目产生的数据将用于使用CZI的计算系统训练新的虚拟细胞模型，以获得对庞大数据集的更深入了解。作为其致力于开放科学以加速研究并使科学更具包容性的一部分，CZI计划将这一举措的结果开源并免费提供，以帮助世界各地的科学家取得有关人类生物学的新发现。。

CZI is partnering with an initial cohort of experts in the single-cell field and developers of innovative life science technologies. This partnership prioritizes data generation across diverse biological domains, with initial data sets including organisms such as mouse, zebrafish, and primary human cell models.

CZI正在与单细胞领域的首批专家和创新生命科学技术的开发人员合作。这种伙伴关系优先考虑跨不同生物领域的数据生成，初始数据集包括小鼠，斑马鱼和原代人类细胞模型等生物。

These data will provide researchers immediate insight into areas that include gene regulation and function across organisms, and insights directly related to disease research..

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“This project will provide a necessary scale of data to understand the functional effects of human genetic variants and characterize the genetic drivers of human disease,” said Alexander Marson, MD, PhD, director of the Gladstone-UCSF Institute of Genomic Immunology and collaborator. “Ultimately, the Billion Cells Project will also be a functional roadmap to guide drug development, identifying targets to restore diseased cells to health..

“该项目将提供必要的数据规模，以了解人类遗传变异的功能效应，并表征人类疾病的遗传驱动因素，”Gladstone UCSF基因组免疫学研究所主任兼合作者Alexander Marson博士说。“最终，十亿细胞项目也将成为指导药物开发的功能路线图，确定使患病细胞恢复健康的目标。。

This collaboration will use 10x Genomics’ Chromium GEM-X technology for single-cell analysis. Sequencing will be performed on the UG 100, an ultra-high throughput next-generation sequencing (NGS) platform developed by Ultima Genomics. The UG 100’s unique wafer-based sequencing architecture enables high throughput sequencing, making the platform well-suited for large-scale omics applications and the generation of genomic data at a large scale..

这项合作将使用10x Genomics的Chromium GEM-X技术进行单细胞分析。测序将在UG 100上进行，UG 100是由Ultima Genomics开发的超高通量下一代测序（NGS）平台。UG 100独特的基于晶圆的测序体系结构可实现高通量测序，使该平台非常适合大规模组学应用和大规模基因组数据的生成。。

“Our mission is to continuously increase the scale and lower the costs of genomic information, and our UG 100 platform helps fulfill that vision by enabling high throughput generation of large-scale data omics sets at low costs,” said Gilad Almogy, PhD, founder and CEO of Ultima Genomics. “Initiatives like the Billion Cells Project showcase advances enabled by our innovative sequencing architecture combined with the emerging advances in AI and machine learning will enable a transformational approach to research that will accelerate scientific discovery and our understanding of biology’s complexity.”.

Ultima Genomics创始人兼首席执行官Gilad Almogy博士表示：“我们的使命是不断提高基因组信息的规模并降低成本，我们的UG 100平台通过以低成本实现大规模数据组学集的高通量生成，帮助实现这一愿景。”。“十亿细胞计划等举措展示了我们创新的测序体系结构所带来的进步，以及人工智能和机器学习的新兴进步，将为研究提供一种变革性的方法，从而加速科学发现和我们对生物学复杂性的理解。”。

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