For each identified CRM1-binder, we calculated or estimated three parameters from measured iBAQ intensities: its abundance (molar fraction) within the ‘CRM1+RanGTP’-bound sample, the RanGTP-stimulation of its CRM1-binding, and how strongly it became enriched by the ‘CRM1+RanGTP’-affinity chromatography. These numbers where then used to group binders into distinct categories, ranging from ‘A’ (the most probable cargoes) to ‘non-binders’. (A) Venn diagrams representing the indicated cargo classes with respect to their identification in the starting extract, ‘CRM1 w/o Ran’- and/or ‘CRM1+RanGTP’-bound samples. (B) Scatter plot representing ‘CRM1+RanGTP’-binders from HeLa cells, using the parameters ‘RanGTP-stimulation’ and ‘input-enrichment’ as coordinates. Colouring is according to classification. Most ‘non-binders’ had not been identified in the ‘CRM1+RanGTP’ sample; they are therefore also not plotted. Measurement of the parameters ‘RanGTP-stimulation’ and ‘input-enrichment’ required the identification a given candidate in input, ‘CRM1 w/o Ran’, as well as in the ‘CRM1+RanGTP’- sample. If undetected in either ‘input’ or ‘CRM1 w/o Ran’, then the missing parameter was estimated as a lower bound (based on the detection sensitivity of our MS setup). Candidates detected only in ‘CRM1+RanGTP’ were not plotted (because for them, both parameters would have to be estimated). (C) Scatter plot is as in (B), but colour code is used to indicate the abundance in the ‘CRM1+RanGTP’-bound sample.