RNA-seq transcriptomics has revolutionized the way we understand gene expression, by providing us granular view of the expression level of individual genes across the genome. Typically, an RNA-seq transcriptome is dissected in different ways from different perspectives yielding multi-facet views of the cellular processes of the organism. This work attempts to relook how to visualise the top 20 high expression level proteins of an RNA-seq transcriptome as a theoretical mass spectrum of the species. In this conceptualisation, the expression count of the protein will be the proxy for relative mass count intensity, while the molecular weight of the proteins will be the x-axis of the theoretical mass spectrum. Such a mass spectrum can be interpreted in many ways with conclusions having deep roots in experiment as the original RNA-seq data is obtained with experiments. One use of the theoretical mass spectrum would be to inform us of the postulated growth rate of the species under given conditions through the average count of the profiled mass peaks. High count signifies high protein synthesis, and thus, growth rate. In another use, the theoretical mass spectrum could provide indicative evidence of the type of proteins that define, modulate or govern the physiological process of the cells. Although coarse in understanding, getting an answer of whether high or low molecular weight proteins define the physiological processes of the cells may have unexpected implications that is not apparent with today’s technology and knowledge base in biology. This work introduces the theoretical mass spectrum of Helicobacter pylori, an important human stomach pathogen that is the causative agent of stomach cancer.