Efficient, automated data processing for a novel MS-based high-throughput screening platform
Company Size
1,000+
Region
- Europe
Country
- United Kingdom
Product
- Genedata Expressionist®
- Acoustic Mist Ionization Mass Spectrometry (AMI-MS) technology
Tech Stack
- Mass Spectrometry
- Automated Data Processing
- High-throughput Screening
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Innovation Output
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Healthcare & Hospitals
- Pharmaceuticals
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Predictive Quality Analytics
- Process Control & Optimization
- Root Cause Analysis & Diagnosis
Services
- Data Science Services
- System Integration
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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