Patterned Signal Ratio Biases in Mass Spectrometry-Based Quantitative Metabolomics

Despite the well-known nonlinear response of electrospray ionization (ESI) in mass spectrometry (MS)-based analysis, its complicated response patterns and negative impact on quantitative comparison are still understudied. We showcase in this work that the patterns of nonlinear ESI response are feature-dependent and can cause significant compression or inflation to signal ratios. In particular, our metabolomics study of serial diluted human urine samples showed that over 72% and 16% metabolic features suffered ratio compression and inflation, respectively, whereas only 12% of the signal...


Jan 26 2021 - 12:45pm to 2:00pm
Donna Nelson
University of Oklahoma
Feb 2 2021 - 12:45pm to 2:00pm
Alison Flynn
Department of Chemistry and Biomolecular Sciences, University of Ottawa
Feb 3 2021 - 5:00pm to 6:00pm
Samuel Griffin
University of British Colombia


Congratulations to Steve Withers!

Congratulations to Dr. Steve Withers for receiving the Michael Smith Foundation for Health Research (MSFHR) 2020 Innovation To Commercialization (I2C) Award. The Innovation to Commercialization (I2C) Program supports researchers to advance their...

Congratulations to Sabrina Fried!

Congratulations to Sabrina Fried for the 2020 Science Excellence in Service Award. This award recognizes the exceptional service contributions of Science’s staff, students and faculty. The winners will be honoured at the upcoming Faculty of...