4th Annual 2019 Global CESI-MS Symposium Pushing Science to the Cutting Edge
The 2019 Global CESI-MS Symposium which took place on October 21-22, in the Hazen Campus Auditorium at the Scripps Research Institute in beautiful La Jolla, California , was co-hosted by Professor John Yates and Professor Jenny Van Eyk.
The Global CESI-MS Symposium provides a platform for scientists in biopharma, proteomics and metabolomics research, and applied markets to share knowledge and advance their work with CESI-MS technologies. Organized by SCIEX, over the last four years, the event has become synonymous with innovation.
CESI-MS Technology highlights
The integration of Capillary Electrophoresis (CE) with Electrospray Ionization (ESI) into a single dynamic process within the same device brings new capabilities to biopharmaceutical, proteomics, metabolomics, and industrial researchers. When paired with a mass spectrometer, CESI-MS delivers a revolutionary approach to discovering previously undetectable characteristics from the minutest precious sample.
The Symposium featured more than 16 presentations and a live Q&A from a broad range of leading scientists across the globe.
For instance, in his presentation on Metabolic Profiling of Low Numbers of Mammalian Cells by CESI-MS, Assoc Professor Rawi Ramautar, Biomedical Microscale Analytics, Leiden Academic Center for Drug Research, Leiden University, the Netherlands said “We have been able to get metabolomics data from less than a single cell equivalent. CESI-MS is the way to get the most out of a limited sample.”
Other notable talks included:
• CESI-MS of Small Molecules for Agricultural and Environmental Science
– Speaker: Dr Spencer Walse, USDA, USA
• Development of CESI-MS Methods and Hardware for Spaceflight Missions of Exploration
– Speaker: Dr M. Fernanda Mora, NAS Jet Propulsion Laboratory, USA
• Native Capillary Electrophoresis Top-Down Mass Spectrometry for Characterization of Proteoforms and Their Complexes
– Speaker: Professor Neil Kelleher, Northwestern University, USA
• CESI-MS for Antibody Quantitation in Biological Samples
– Speaker: Richard Snell, GSK, UK
• Next Stage Personalized Medicine: Automation and High Content Proteomics
– Speaker: Professor Jenny Van Eyk, Cedars-Sinai Medical Center, USA
“CESI-MS has established itself as the alternative for precious and difficult samples,” said Mani Krishnan, Vice President of Global Biopharma and Capillary Electrophoresis at SCIEX. “The Symposium was an ideal opportunity for global researchers to collaborate in a peer-to-peer environment as they got to know the latest innovations and breakthroughs in CESI-MS.”
In case you were not able to attend the symposium, the presentations will become freely available online in March 2020. Stay tuned for more information.
Customers Talk, We Listen
Run Fast with the Echo® MS System Analyzing Samples Faster Than Ever Before
SCIEX has developed a strong reputation as a pioneer of novel technologies over the years, pushing the boundaries of mass spectrometry in terms of fundamentals like speed, sensitivity and specificity. These advances have been crucial to expanding the use of MS across various markets but, in today’s fast-paced environment, simply doing the same things better isn’t always enough. To use a cliché, we need to think outside the box. In this case, the ‘box’ is the MS system, and we need to look more closely at how people want to use our instruments, and develop solutions to better serve their needs. This is the driving force behind our research and development efforts, and is directly responsible for our latest innovations like the recently announced the technology announcement of Acoustic Ejection Mass spectrometry at ASMS 2019 – to be Known as the Echo® MS System which includes the SCIEX Triple Quad™ 6500+ LC/MS-MS System upon commercialization.
The main driver of the innovation has been driven at addressing bottlenecks in drug discovery. A typical drug compound library can easily be comprised of millions of compounds – managing, processing and analyzing these libraries takes both time and effort, as well as being costly.
But what if it was possible to screen vast libraries in days, rather than weeks, or even months?
Gavin Fischer, Senior. Director, LC & Integrated Solutions here at SCIEX Answers some questions about Acoustic Ejection Mass Spectrometry (AEMS) system, which has the potential to screen a staggering one million compounds in four days. Gavin discusses the key features of the AEMS system and the impact this technology could have on the drug discovery field.
What is acoustic ejection mass spectrometry?
The Acoustic Ejection Mass Spectrometry (AEMS) technology, to be known as the ECHO® MS System upon commercialization. Echo® MS combines two pioneering innovations of the Open Port Interface (OPI) and Acoustic Droplet Ejection (ADE) to form an AEMS system.
ADE technology has been pioneered by Labcyte (now part of Beckman Coulter) which is under the Danaher umbrella, who are market leaders in the world of liquid handling by dispensing of liquids via ADE. ADE uses a sonic transducer to focus a pulse of ultrasound on moving low volumes of fluids (typically nanoliters) without any physical contact. This technology focuses acoustic energy into a fluid sample to eject droplets from microtitre plates wells (96, 384 or 1536). In the instance with AEMS the droplets are dispensed into the OPI where the droplets are transferred to a SCIEX mass spectrometer ion source for detection using mass analysis.
Could you highlight some of the key features of the AEMS technology?
If there is one takeaway about AEMS is that it has that has groundbreaking speed. It can sample one sample per second into the mass spectrometer when analyzing a single analyte or 3 samples per second when multiplexing analytes between wells. This means fundamentally 60 samples per minute or 180 samples per minute multiplexed. When you think about that and put it into context it is staggering in terms of the sheer volume of samples that could potentially be analyzed in one day.
The benefit of speed is the headline, but, there are additional benefits to the technology. There is no HPLC separation, no extensive sample preparation (eliminating the potential errors associated) and there are running cost benefits as well – these are being demonstrated with the R&D systems that we have placed in our customer collaboration sites (Pfizer, Merck, Bristol-Myers Squibb and Boehringer-Ingelheim) where they are demonstrating the following:
- Speeds up to 50 times faster than current LC-based mass spectrometry screening methods
- Unparalleled standards of quantitation with accuracy and precision of CV’s less than 10%
- Getting much richer data than mass spectrometry affords vs other high-throughput techniques
Click here to learn more about the 4 defining benefits of the Echo® MS System
What impact could this technology have on the drug discovery field?
The impact could be huge if we think about typical compound libraries, which are comprised of anywhere from one to six million compounds. Currently, available approaches for high-throughput screening with mass spectrometry require 5–10 seconds per sample. There is huge appeal to using mass spectrometry -based approaches due to the richness of data as previously stated, to make better-informed decisions. The application of mass spectrometry is currently limited to small subsets given the time it takes to perform those assays vs other techniques. To put into context with the current state of LC-MS screening platforms, to screen one million compounds against one drug target it would take approximately 115 days of 24/7 operation. This is where the bottleneck of time arises.
AEMS has the potential to analyze that same sample volume in only just four4 days. From 115 days down to just 4 days. With this type of capacity, the technology can help overcome bottlenecks, and deliver the speed and rich data that the drug discovery field requires.
When do you envisage this technology becoming commercially available?
The Echo® MS module will become commercially available in 2020. Since announcing the AEMS technology, the commercialization process is now in full swing and there is excitement and buzz throughout the industry.
Echo and Echo MS are trademarks or registered trademarks of Labcyte, Inc. in the United States and other countries, and are being used under license.
SCIEX Online Store
Have You Experienced the New SCIEX Online Store? – There Are Over 800 Products Available To Order Online!
Benefits of Purchasing Online
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Tips and Tricks
Got 99 problems and don’t want your calibration curves to be any of them?
Advances in technology have resulted in a need for higher and faster sample throughput, with increasing number of measured analytes per sample – sometimes up into the 1000’s. A greater strain on necessary data analysis steps leads to a bottleneck of data processing and review for chromatographic peak integration, quality of calibration curve, and more. Analysts can spend hours just reviewing calibration curves for acceptability.
SCIEX OS-MQ software brings routine quantitation workflow to the next level for quicker turnaround time. The sleek, intuitive user interface overlies a sophisticated new peak integration algorithm and other new features, such as the automatic outlier removal for calibration curves, and new tools for calculating, flagging, and filtering results. These features combine to make data processing and review more streamlined and efficient.
The Automatic Outlier Removal feature allows the user to set criteria for the automatic removal of standard outliers from the calibration curve. The user controls what regression linearity, accuracy of standards, precision of replicates, and outlier tolerance are acceptable, and the algorithm then builds the calibration curve for each analyte to meet the defined criteria. The algorithm helps to alleviate the pain of manually establishing many acceptable calibration curves when working with many analytes varying in sensitivity and performance. In an example of 193 analytes with 9 calibrator levels acquired in triplicate, the processing took about 1 minute, compared to 180 minutes to manually review and approve all calibration curves for the same data set. This is a leap forward in time saving for data reviewers.
- Improving Routine Quantitation Workflows in SCIEX OS-MQ Learn More
- Got 99 problems and don’t want your calibration curves to be any of them? Learn More
SCIEX OS, Its AutoPeak Integration Algorithm, and How It Can Help Reduce the Headache of Re-Integrating Data
So you spend too much time manually re-integrated peaks, removing interferences, or adjusting retention times.
With higher throughput demands on today’s mass spec quantitative applications, the bottlenecks affecting sample turnaround time is moving from data acquisition towards data processing. Most lab environments like this can’t afford the time it takes to re-integrate missed peaks due to run to run retention time shifts, or bad integrations due to matrix interferences. As well, regulations put on data integrity has made the need for simplified, more automated methods and less manual review for peak integrations paramount.
To address this challenge, a new integration algorithm has been introduced with SCIEX OS software for data processing. AutoPeak is the second generation peak modeling integration algorithm which improves data quality and ease of use for targeted analysis. It provides improved peak finding, more consistent peak integration, and better integration of poorly resolved peaks which allows application of the algorithm to samples with challenging chromatography. It is simpler to use because there are fewer parameters to adjust and less user input is needed, therefore reducing the time spent performing data review and manual re-integration.
The peak model is constructed based on a 3 Gaussian peak model. All chromatograms in the selected batch for processing are evaluated to determine which sample is the best peak model for each transition. An additional step is performed when processing groups. The chromatographic characteristics of the peaks (RT, shape, peak start and stop) should be the same for the fragments of the same precursor ion. This is leveraged to provide consistent peak integrations within the group and to be able to detect interferences. The peak models for each component in the group are evaluated and the best peak model is selected as the peak model for all components in the group. Internal Standards are treated as a sub-group due to potential shifts in retention time.
The result is this: across multiple data types, AutoPeak consistently and accurately integrates peaks without any optimization of integration parameters. A comparison of 3 different integration algorithms was performed to see what the first pass rate of success would be when using the default processing method parameters for each algorithm, that is – with no parameter optimization or expected retention times across multiple data sets of varying data type. The AutoPeak integration algorithm showed a significant improvement for multiple data types compared to the other algorithms, with over 90% of peaks integrated correctly, in the first pass, without parameter optimization; whereas MultiQuant MQ4 algorithm left a lot of work to be done to optimize the integrations.
To learn more about how the AutoPeak integration algorithm can reduce the need for re-integrations, and to see the algorithm in action, log in to your SCIEXUniversity™ account to take the AutoPeak Essentials course now!