实例探究 > Efficient, automated data processing for a novel MS-based high-throughput screening platform

Efficient, automated data processing for a novel MS-based high-throughput screening platform

公司规模
1,000+
地区
  • Europe
国家
  • United Kingdom
产品
  • Genedata Expressionist®
  • Acoustic Mist Ionization Mass Spectrometry (AMI-MS) technology
技术栈
  • Mass Spectrometry
  • Automated Data Processing
  • High-throughput Screening
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
  • 分析与建模 - 实时分析
  • 应用基础设施与中间件 - 数据交换与集成
适用行业
  • 医疗保健和医院
  • 药品
适用功能
  • 产品研发
  • 质量保证
用例
  • 质量预测分析
  • 过程控制与优化
  • 根因分析与诊断
服务
  • 数据科学服务
  • 系统集成
关于客户
AstraZeneca is a global, science-led biopharmaceutical company that develops innovative medicines used by millions of patients worldwide. The company is committed to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. The medicines developed by AstraZeneca are used in three main therapy areas - Oncology, Cardiovascular & Metabolic Disease and Respiratory. The company also is selectively active in the areas of autoimmunity, neuroscience and infection. AstraZeneca operates in over 100 countries and its innovative medicines are used by millions of patients worldwide.
挑战
AstraZeneca, a global biopharmaceutical company, was facing challenges in automating data processing and increasing the quality of results. The company was using Acoustic Droplet Ejection (ADE) technology for high-throughput screening (HTS), which introduced samples into a mass spectrometer. However, the increase in throughput brought by Acoustic Mist Ionization Mass Spectrometry (AMI-MS) technology resulted in large amounts of data that needed efficient processing. The main challenges included eliminating laborious and potentially error-inducing manual interventions, guaranteeing data quality and traceability, adapting data processing to different targets and screening strategies, obtaining insightful visualization to speed assay development, and integrating MS data into screening data analysis platforms.
解决方案
AstraZeneca partnered with Genedata to develop a flexible, automated data processing workflow for efficiently processing the large amounts of data generated by the AMI-MS screening platform. The solution, Genedata Expressionist, is based on automated, customizable workflows, in which data is subjected to sequential processing steps. The software automatically parses and assigns spectra to their respective 384-well plate well, eliminating the need for manual scanning of barcodes. Advanced algorithms ensure the highest data quality by automatically quantitating peaks of interest using dynamic peak detection and clustering algorithms. The software also offers flexibility in assay design, allowing AstraZeneca’s scientists to employ any MS-based screening approach. The results are seamlessly exported to Genedata Screener, where plate-wise visualization of results enables routine QC and fast identification of potential hits.
运营影响
  • Significant time savings: The data processing workflow requires a single click and takes around 25 minutes for a data set obtained from 150 × 384-well plates. Previously, processing of such data sets—including the potential error-inducing manual steps—required 3 hours.
  • Higher-quality, more reliable data: By eliminating potential error-inducing manual steps, automated Genedata Expressionist data processing greatly increases the level of confidence in the quality of the data.
  • Flexibility in assay design: Because it can be used for processing data from any MS instrument or application, Genedata Expressionist offers AstraZeneca’s scientists the ability to employ any MS-based screening approach, and the opportunity to explore biological experimental spaces outside conventional substrate/product assay strategies.
  • Better understanding and decision-making: During assay development, detailed visualizations at every step of data processing facilitate in-depth analysis of results, enabling more convenient and faster data review and curation, faster triage of false-positives, and ultimately, better decision-making.
数量效益
  • Seven-fold decrease in processing time with elimination of potentially error-inducing manual interactions.

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

相关案例.

联系我们

欢迎与我们交流!
* Required
* Required
* Required
* Invalid email address
提交此表单,即表示您同意 IoT ONE 可以与您联系并分享洞察和营销信息。
不,谢谢,我不想收到来自 IoT ONE 的任何营销电子邮件。
提交

感谢您的信息!
我们会很快与你取得联系。