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Image of blue rendered molecular structure

Case Study: Developing an Automated Multi-Attribute Method (MAM) Sample Preparation Workflow

Automation using IMCStips® with
Hamilton Microlab® STAR™

Presenters and Moderator

1623640896642

Presenter: Yuko Ogata, PhD

Senior Scientist at Just Biotherapeutics
1516236223849

Moderator: Richard S. Rogers, PhD

Director of Process Analytics at Umoja Biopharma

Executive Summary

Manual sample preparation is not suited for a large set of samples, is amenable to human errors, and creates challenges when implementing identical processes across multiple locations. In addition, sample recovery from size-exclusion spin columns can vary greatly depending on the initial sample concentrations. The automated sample preparation using IMCStips provides comparable relative PQA values to manual preparation with excellent reproducibility, improved recoveries across different concentrations, more streamlined walk away solution, and higher throughput capability. The seamless sample preparation without intervention from the start to finish makes the MAM more suitable for all stages of drug development and production.

Challenges

There is a growing need for sequence confirmation and attribute analytics by MAM for a large set of samples. This platform is new and evolving and the company foresees many samples (ex. 96 samples at a time) requiring MAM analysis soon as it is no longer practical to prepare samples manually. In manual sample preparation workflow, dilution and digestion are not suitable for all samples with trypsin (incomplete digestion depending on the molecules, starting sample concentration, or enzymes); the percent sample recovery suffers for low concentration samples (<2 mg/mL) upon size exclusion chromatography (SEC) buffer exchange; and the method is susceptible to person-to-person variability.

How IMCS Helped

SizeX IMCStips helped to greatly enhance the MAM automation protocol. It resulted in a higher and more reliable percent recovery at buffer exchange, which allowed the company to omit concentration measurements (A280) after buffer exchange. Analysis showed consistent mass spectrometry TIC levels and PTM results within plates and over a wide range of concentrations. This organization process enhanced sample throughout while generating comparable results to manual preparation. As a result, the seamless sample preparation with intervention from start to finish makes the MAM more suitable for all stages of drug development and production.

Results

AUTOMATION PROTOCOL Expand
  • Automated sample preparation with SizeX IMCStips and Hamilton Microlab STAR
  • Enabled the preparation of up to 96 samples with less “at-bench” time than the manual preparation of a smaller batch of samples
  • Greatly facilitated support of process development and the use of the MAM in quality control
SAMPLE RECOVERY Expand
  • Higher and reliable percent recovery at buffer exchange with no A280 measurements
  • Sample concentrations of 1, 2, 5, and 9 mg/mL of mAb1 in triplicate were used for evaluation
  • Sample recovery for manual preparation increased with increasing sample concentration, ranging from 29.2% at 1 mg/mL to 61.5% at 9 mg/mL with a maximum relative standard deviation (RSD) value of 6.9% at 9 mg/mL
  • Relative % recovery after buffer exchange using SizeX100 IMCStips was consistently higher at all concentrations with the lowest observed recovery of 86.4% at 1 mg/mL with a maximum RSD of 2.5% at 5 mg/mL
  • Intra-plate variability (% RSD across 96 samples within each plate): mainly <20%
  • Sample recovery from SizeX IMCStips was also evaluated for mAb 1 samples at 11 mg/mL (n = 72) and mAb 2 samples at 10 mg/mL (n = 25): average sample recoveries were 88.0% for mAb 1 with RSD of 5.3% and 94.3% for mAb 2 with RSD of 10.4%

Quotes from Presentation

“It’s a great timesaving, especially for large set of samples. A small batch of manual sample prep takes about up to 3 hours or so, but I cannot do 96 samples at a time. So, by being able to do a large set of samples, it saves loads of time instead of doing manual rounds of sample prep. Once you set up the tips and reagents, it’s fairly hands off. You have much less bench time.”

"The scripts were made by IMCS, but of course it is customizable. We had great support from IMCS as well as Hamilton. During the initial set up, they tested the script and made sure that it’s comparable to the range of concentrations I will be proving. So, a great collaboration between IMCS and Hamilton and I really enjoyed the help from them.”

"The percent sample yields at buffer exchange with SizeX tips are significantly better for lower concentration samples. In other words, we have more concentrated samples during that digestion stage and after TSA cleanse.”

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Caleb R. Schlachter, Ph.D.

Principal Scientist
Caleb R. Schlachter, Ph.D., as the Principal Scientist at IMCS, leads and provides guidance for several research and development projects that involve proteins, including enzymes for glycan hydrolysis and glycan synthesis. He has co-authored multiple patents, posters, and peer-reviewed articles on β-glucuronidases and sulfatases.
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Gray D. Amick, Ph.D.

Director of Operations
Gray D. Amick, Ph.D., is the Director of Operations at IMCS with over 26 years of experience in forensic DNA analysis and toxicology. Prior to joining IMCS, he led forensic DNA testing for the Richland County Sheriff’s Department as technical leader and lab director. He has been court-qualified as an expert over 100 times and has authored and co-authored multiple posters and peer-reviewed articles.
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Amanda C. McGee

Research Scientist
Amanda C. McGee is a Research Scientist at IMCS involved with enzyme characterizations, new analytical method developments, and advanced technical support. She joined IMCS with several years of experience in analytical testing for active pharmaceutical ingredients as per cGMP, USP and ICH guidelines. She has co-authored peer reviewed articles in the Journal of Analytical Toxicology and presented research at national and international conferences.
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L. Andrew Lee, Ph.D.

Co-Founder and Chief Scientific Officer
L. Andrew Lee, Ph.D. co-founded IMCS and leads research and development efforts in enzyme engineering and automated micro-chromatography workflows. He directs new market efforts in glycan synthesis, supported by three NIH Fast-Track awards.

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