An efficient solution for resolving iTRAQ and TMT channel cross-talk

Isobaric tagging reagents such as isobaric tag for relative and absolute quantitation (iTRAQ) and tandem mass tag (TMT) typically have isotopic impurities that cause significant cross-talk between channels. Here, we present an efficient solution to compensate for channel cross-talk using linear algebra and find that it is between 20× and 120× faster than previous methods. We also find that the effects of channel cross-talk are as important to manage as the effects of ratio compression because of precursor impurities, and we have released an open-source tool to perform both types of calculations.