实例探究 > Powering High-Throughput Plant Genetics to Cultivate the Fruits and Vegetables of Tomorrow

Powering High-Throughput Plant Genetics to Cultivate the Fruits and Vegetables of Tomorrow

公司规模
SME
地区
  • America
国家
  • United States
产品
  • Benchling
技术栈
  • CRISPR gene editing
  • Next-generation sequencing (NGS)
实施规模
  • Enterprise-wide Deployment
影响指标
  • Innovation Output
  • Productivity Improvements
技术
  • 分析与建模 - 大数据分析
  • 应用基础设施与中间件 - 数据交换与集成
适用行业
  • 农业
  • 食品与饮料
适用功能
  • 产品研发
  • 质量保证
用例
  • 质量预测分析
  • 根因分析与诊断
服务
  • 数据科学服务
  • 系统集成
关于客户
Pairwise is a company that is uniquely situated between agriculture and biotech. They apply cutting-edge technologies such as CRISPR gene editing and next-generation sequencing (NGS) to one of the oldest human technologies: food cultivation. Pioneering this field presents a particular set of technical challenges. Their tools must be customizable to fit agriculture-focused experiments and workflows, while also supporting the cutting-edge scientific techniques that they’re applying to agriculture for the first time. They turned to Benchling for a flexible, cloud-based platform that could track and streamline both the agricultural and biotechnological aspects of their R&D. The company is based in Durham, NC and has between 51-250 employees.
挑战
Pairwise, a company that uses CRISPR and gene editing to develop new varieties of fruits and vegetables, faced several challenges. The nature of plant genetics meant that each plant had its own phenotypic and genotypic characteristics, requiring individual tracking. This resulted in sample sets often containing hundreds of entities, each with its own optimization needs and custom steps. This is significantly larger than a typical biopharma sample set. Additionally, plant-based workflows required more complex infrastructure, more team handoffs, and longer timelines compared to cell-based workflows. Pairwise needed a centralized, easily-accessible way to organize and communicate experiment data to every team, from discovery to development. Program leaders also needed to turn thousands of data points into insights to drive decision making. They needed pre-computed reports aggregating metrics for successful plants each week to move forward with.
解决方案
Benchling provided a robust plant registry that tied actions like inventory tracking, data collection, and seed retrieval to the plant in question. This Registry provided a convenient system within which Pairwise could track their entire plant development pipeline. The pipeline began with an idea for a potentially beneficial gene edit. Researchers then designed plasmids and checked the gene edit’s sequencing results using Benchling Molecular Biology. Once a plasmid had been selected and validated, transformations into plants happened on a large scale. Templatized Benchling Notebook entries and workflows helped standardize data collection during large-scale gene editing and plant growth. As plants moved from the wet lab to the greenhouse, Benchling Requests provided a single communication point, ensuring that every handoff took place under identical conditions. Plants were molecularly screened using NGS, and seeds were only collected from those capable of passing on the desired trait. The subsequent generation was then screened to confirm the trait had been inherited. Benchling associated each plant’s database entry with these experimental results, making it easy to identify candidate plants and seeds, and discard undesirable ones. API access allowed Pairwise to pull data directly from specialized instruments and to build customized report views.
运营影响
  • Benchling's robust Registry handles hundreds of plants per sample set, with standardized data and metadata collection spanning the entire plant life cycle.
  • All R&D is centralized on Benchling’s platform, enabling quick viewing of all data associated with each plant, from transformation media to NGS confirmation of desired traits.
  • Benchling’s data warehouse and APIs enable direct sourcing of data from specialized instruments, eliminating transfer errors and delays.
  • Experiments can be designed and carried out across multiple locations without information loss. For example, greenhouse workers know which plants to pollinate in order to achieve the requested plant cross.
  • Global search allows every team member to immediately see where a plant or plasmid has been documented, even from experiments years prior.
数量效益
  • 78,800 plants registered into the inventory
  • 4,728 plasmids designed with Benchling
  • 100% user adoption

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