Single-molecule analysis of gene expression in living cells
Previously, we have developed an imaging technique called “SunTag” (Tanenbaum et al., 2014, Cell), which allows us to link many GFPs to a protein molecule of interest (Fig. 1A). This GFP multimerization approach makes the fluorescence tags far brighter than was previously possible, and enables us to visualize complex biological processes with single molecule sensitivity in real-time in living cells. Using the SunTag, we have developed a method to visualize translation and degradation of single mRNA molecules in space and time (Fig. 1B) (Yan et al., 2016, Cell; Hoek et al., 2019, Mol Cell). We are employing these methods to visualize gene expression control in living cells with incredible precision and to uncover how regulatory mechanisms function at the single-molecule level. We are using a combination of quantitative single cell and single molecule fluorescence microscopy and computer simulations to look beyond cell population averages, and study how single cells tune gene expression over time and how differences in gene expression affect cell fate. For example, we have applied the SunTag translation imaging technique to study RNA quality control (Hoek et al., 2019, Mol Cell), heterogeneity in translation start site selection (Boersma et al., 2019, Cell) and post-transcriptional regulation of gene expression by small RNAs (Ruijtenberg et al., 2020, Nat Struct Mol Biol). More recently, we have developed Stopless-ORF circular RNAs (socRNAs) as a powerful new method to study individual ribosomes with very high resolution (Madern et al., 2025, Cell). We are currently exploring additional mechanisms of post-transcriptional gene regulation and are developing new technologies to examine gene expression control with even greater precision.