“…Thus, single-cell algorithms that rely on the number of expressed genes per cell to predict distinguishable properties might also report biased results. Although contradictory results exist in the literature regarding the transcriptomic effect of cell cycle-associated changes in cell size (McDavid et al, 2016;Guillemin et al, 2018), it is arguable that this is due to subtle transcriptional changes that can only be detected with greater The development and implementation of single-cell technologies for multiomics measurements of genomes, epigenomes, transcriptomes, translatomes, proteomes, and metabolomes are opening up tremendous opportunities for enhancing our mechanistic understanding of cellular phenotypes and higher-order biological systems.…”