NIH Proteomics Interest Group

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ProtIG is an NIH Special Interest Group (SIG) that organizes seminars and workshops in relevant areas of proteomics, including talks on separation and protein identification methods, determination of post-translational modifications, protein-protein interactions, and bioinformatics and data management. A monthly seminar series is usually held at 12 pm on the Second Thursday of each month (always check the Mtgs/Seminars button on this page for these and other PROTIG announced meetings). To receive email announcements of ProtIG events, join the listserv (Join the SIG button on this page)

November ProtIG Seminar
Please note the start time may be adjusted for 2022-2023 seminars
Thursday, November 10th, 2022
10:00 am - 11:00 am EDT
Nikolai Slavov, Ph.D.
Associate Professor, Bioengineering
Allen Distinguished Investigator
Director, Single-Cell Proteomics Center
Northeastern University College of Engineering


“Exploring functional protein covariation across thousands of single cells”

Biological functions are reflected in the natural variation of proteome configurations across individual cells. Single-cell proteomics methods may decode this variation and empower inference of biological mechanisms with minimal assumptions. This promise is beginning to be realized by scalable sample preparation methods (allowing simultaneous preparation of thousands of single cells per batch) and sensitive mass-spectrometry methods. Specifically, prioritized single-cell mass-spectrometry analysis (pSCoPE) allows for consistent and sensitive analysis of thousands of proteins of biological interest, while multiplexed data independent acquisition methods (plexDIA) afford high throughput and data completeness. These methods have allowed us to interpret protein covariation in different biological systems, including primary macrophages and melanoma cells expressing markers for drug-resistance priming. The focus of the talk will be on conceptual innovations and strategies for data acquisition and interpretation that make single-cell protein analysis accessible, robust and highly quantitative.





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This site was updated on November 4th, 2022. Please contact Renee Olano at olanol(at)mail.nih.gov with questions or suggestions.