Back

Activation of oligonucleotide polyanions using collisions, electrons and photons in a timsOmni platform

Rosu, F.; Chiba, R.; Mani Mallika, A.; Smyrnakis, A.; Greisch, J.-F.; Papanastasiou, D.; Gabelica, V.

2025-11-10 biochemistry
10.1101/2025.11.10.687689 bioRxiv
Show abstract

We describe here various ion activation experiments realized in the Omnitrap platform integrated on the timsOmniTM mass spectrometer for the analysis of oligonucleotides in the negative ion mode. The activation methods include resonance collision-induced dissociation (RCID), electron detachment dissociation (EDD), infrared laser multiple-photon activation (IRMPD) and UV laser photodissociation (UVPD). Special emphasis is given to EDD, either as a standalone technique or in conjunction with vibrational re-activation of the ion radicals. We describe EDD on standard 6-mer DNA sequences that have been extensively characterized on other instruments, followed by a comparison of several activation approaches for the phosphorothioate-based oligonucleotide therapeutics Fomivirsen, and concluding with the fragmentation analysis of 46-mer DNA and RNA. EDD alone already provides excellent sequence information on Fomivirsen, but MS3 combinations such as EDD-RCID or EDD-IRMPD proved even more effective, including for the 46-mer DNA (less prone to fragmentation than RNA) at a relatively low charge state. The diversity of ion activation combinations available on the Omnitrap platform is demonstrated by an MS4 experiment investigating the fate of a* and z* radical fragments produced by EDD. TOC graphics O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/687689v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@534c32org.highwire.dtl.DTLVardef@af8ab0org.highwire.dtl.DTLVardef@ba2c3dorg.highwire.dtl.DTLVardef@ae9196_HPS_FORMAT_FIGEXP M_FIG C_FIG

Published in Journal of the American Society for Mass Spectrometry (predicted rank #2) · training set

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.