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Updated: Aug 30, 2025

Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples
Published on: April 17, 2015
Integrated and automated high-throughput purification of libraries on microscale
Carol Ginsburg-Moraff1, Jonathan Grob1, Karl Chin1
1Global Discovery Chemistry, Novartis Institutes for Biomedical Research, Novartis Pharma AG., Cambridge, MA 02139, USA.
This study introduces an automated platform for fast chemical library purification and quantification. The solution-based workflow enhances efficiency and links synthesis to property profiling.
Area of Science:
- Chemical synthesis and purification
- Analytical chemistry
- Drug discovery automation
Background:
- Traditional chemical library purification is time-consuming and labor-intensive.
- Integrating synthesis with downstream analysis requires efficient sample handling.
- Need for automated workflows to accelerate the drug discovery process.
Purpose of the Study:
- To develop an automated platform for rapid purification and quantification of chemical libraries.
- To enable direct reformatting of purified compounds into DMSO stock solutions.
- To streamline the process from high-throughput synthesis to property profiling.
Main Methods:
- Development of a fully integrated, solution-based automated workflow.
- Utilizing microscale preparative reversed-phase High-Performance Liquid Chromatography-Mass Spectrometry (RP-HPLC-MS) with tailored conditions.
- Incorporating online fraction quality control (QC) and Charged Aerosol Detection (CAD)-based quantification.
- Automated reformatting of purified compounds to 10 mM DMSO stock solutions.
Main Results:
- Successful development of an automated platform for chemical library purification and quantification.
- Demonstrated efficiency gains by eliminating solid handling steps.
- Established a seamless link between chemical synthesis and subsequent property profiling.
- Generated 10 mM DMSO stock solutions from purified chemical libraries.
Conclusions:
- The automated platform significantly enhances the efficiency of chemical library processing.
- This workflow facilitates rapid profiling of novel chemical matter for biological and physicochemical properties.
- The solution-based approach minimizes manual intervention and accelerates drug discovery pipelines.
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