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GenomeWeb/ABRF Webinar Series




About the Series                  

GenomeWeb and the Association of Biomolecular Resource Facilities partnered for the fourth year to produce a series of online seminars highlighting methods, techniques, and instrumentation that support life science research.


July 9, 2019 | 1:00 PM ET

Overview and Insights from the 2018/19 ABRF Multi-Laboratory DIA Study

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This webinar will outline a project led by the Association for Biomolecular Resource Facilities to help academic and core facilities who are using Data-Independent Acquisition (DIA) technology for protein quantification.

Proteomics researchers are realizing the promise of DIA, but due to the variety of acquisition methods, there is a need to develop best practices and offer opportunity for adoption. The ABRF Proteomics Research Group (PRG) realized that there was a need for a go-to resource for new users interested in DIA studies. Such a resource would provide information about sample processing, data acquisition, and data analysis.

As part of this study, a prototype sample set was used that was comprised of a HeLa digest spiked with four non-human proteins at different concentrations. Upon request, this sample was provided to 64 participants from labs all across the world, along with recommended data-acquisition methods. Raw data was requested from participants for the PRG to analyze. The user profile of the 45 laboratories who submitted the data had a good representation of users who were new to DIA; as well as those who had prior DIA experience.

Results from this study and future plans will be presented in the webinar.



July 15, 2019 | 11:00 AM ET

Proteomics for Precision Medicine: New Workflows to Support Translational Research

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This webinar will address new translational workflows to support proteomic profiling for biomarker discovery through precision medicine.

Recent advances in mass spectrometry have expanded the opportunities for translational proteomics, which complements other omics disciplines such as genomics, transcriptomics, and metabolomics/lipidomics.However, a key challenge is bridging the gap between early-stage discovery and next-stage, routine quantitative application of biomarker assays in the clinical research setting.

To accelerate the discovery of clinically actionable biomarkers, workflow solutions need to address scalability, reproducibility, and robustness. They also need to support the analysis of larger patient cohorts.

Our first speaker, Emily Chen, senior director of the Thermo Fisher Precision Science Center, will discuss the need to achieve precision proteomics as a first step toward achieving precision medicine. She will present precision medicine workflows that focus on biofluids and FFPE tissues and applications using these workflows.

Our second speaker, Nicolai Bache, head of applications at Evosep,will discuss a new low-flow separation system for proteomics-based translational research.

July 17, 2019 | 1:00 PM ET

Expert Tips on Running a Mass Spec Core Lab Amid Rapid Technological Change

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In this webinar, three experts will share advice on how to efficiently manage a mass spectrometry core lab while staying ahead of the technology curve.

Our first speaker, Benjamin Orsburn of Proteomic and Genomic Sciences, will discuss how core lab managers can balance efficiency and quality while keeping up with advances in mass spectrometry. As groundbreaking new techniques bring customers flocking to core labs with high expectations, the goalpost for maintaining “quality” can appear to be constantly moving. Dr. Orsburn will describe extreme examples of core lab management principles that can help make time for R&D to add new lab techniques.   

Our second speaker, Birgit Schilling of the Buck Institute for Research on Aging, will discuss how her lab uses data-independent acquisition (DIA) workflows for a variety of collaborative projects, including small studies and larger scale projects. Dr. Schilling will share the criteria her team uses to decide whether to use published spectral libraries or to apply data-dependent acquisitions (DDA) to build their own spectral libraries that are used later to process the quantitative DIA data sets. Dr. Schilling will also discuss the adoption of new technologies and the dissemination of data sets to collaborators and core users.

Our third speaker, Brett Phinney of the UC Davis Genome Center, will share how his team is developing efficient and more universal methods for the core lab. Researchers today expect core facilities to quantify thousands of proteins and their post-translational modifications efficiently and for a reasonable cost. This is generally feasible when there are a limited number of sample types and organisms, but when every sample has the potential to be different, it is difficult to develop methods that can apply to a wide variety of samples. Dr. Phinney will detail how his team uses suspension trapping and peptide-centric DIA in combination with deep learning to address this issue for both proteomic sample preparation and proteomic LC-MS/MS analysis.

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