Single-cell metabolite annotation by tandem mass spectrometry imaging and ab initio molecular dynamics-based fragmentation

Abstract

Reliable single-cell mass spectrometry (MS) imaging and metabolite annotation represent a challenge due to small cellular dimensions, small amount of desorbed materials and densely populated databases of the m/z values of endogenous compounds. To resolve these issues, a highly sensitive analytical approach was devised for metabolite annotation purposes, relying on the correspondence between the m/z values from single-cell MS/MS spectra and the m/z values of the molecular fragments calculated using ab initio molecular dynamics (AIMD). The approach was applied to the annotation of m/z 337.11 Da, which cellular content is increased in chronic lymphocytic leukemia (CLL). To evaluate the approach, five candidate compounds were selected by a metabolite database search using the given m/z. Matrix-assisted laser desorption/ionization ion trap-time-of-flight (MALDI IT-TOF) MS/MS spot analysis of S-nitrosoglutathione (GSNO), one of the candidate compounds, preceded single-cell MS/MS imaging: five fragments were present in the empirical and in silico spectra of the GSNO solution. The sensitivity of single-cell MS imaging was optimized, and MS/MS spectra were recorded for different lymphocytes containing 0–3 fragments that were present in the in silico spectra of three glutathione-related compounds; however, there was no match between the empirical and in silico spectra of the other candidate compounds. The lateral distribution of the selected fragment showed ∼3 μm shift with respect to the optical image of the lymphocyte. The novel concept developed for single-cell MS imaging enabled metabolite annotation in malignant lymphocytic clones and showed potential for metabolite annotation in other cell suspensions.