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Transcription is an extremely complex process involving dynamic, spatial, and temporal organization of transcription factors (TFs) and cofactors for the recruitment and modulation of RNA polymerases on chromatin regions in response to specific stimuli1. Most TFs, including the human P53 tumor suppressor, recognize specific cis-acting elements in the form of DNA sequences called response elements (REs), which consist of single (or multiple) unique motifs ~6-10 nucleotides long. Within these motifs, individual positions may show various degrees of variability2, usually summarized by position weight matrices (PWM) or logos3,4.
The yeast S. cerevisiae is a suitable model system for studying different aspects of human proteins through complementation assays, ectopic expression, and functional assays, even when an orthologous yeast gene is not present5,6,7. Due to the evolutionary conservation of basal components of the transcriptional system8, many human TFs (when ectopically expressed in yeast cells) can modulate the expression of a reporter gene by acting through promoters engineered to contain appropriate REs. The transcription model system presented here for human P53 is characterized by three major variables whose effects can be modulated: 1) the modality of expression and type of P53, 2) the RE sequence controlling P53-dependent transcription, and 3) the type of reporter gene (Figure 1A).
Concerning the modality of P53 expression, S. cerevisiae allows the choice of inducible, repressible, or constitutive promoters9,10,11. In particular, the inducible GAL1 promoter allows basal (using raffinose as a carbon source) or variable (by changing the amount of galactose in the media) expression of a TF in yeast. In fact, the finely tunable expression represents a critical development for studying not only P53 itself but also other P53 family proteins12,13.
Regarding the type of REs controlling the P53-dependent expression, S. cerevisiae allows the construction of different reporter strains possessing unique differences in the RE of interest in an otherwise isogenic background. This goal is reached using an adaptation of a particularly versatile genome editing approach developed in S. cerevisiae, called delitto perfetto12,14,15,16.
Furthermore, different reporter genes (i.e., URA3, HIS3, and ADE2) can be used to qualitatively and quantitatively evaluate transcriptional activities of human TFs in S. cerevisiae, each with specific features that can be tailored to experimental needs17,18,19,20,21. The expression of these reporter genes confers uracil, histidine, and adenine prototrophy, respectively. The URA3 reporter does not allow the growth of cells in the presence of 5-FOA as well, and thus it can be counterselected. The ADE2 reporter system has the advantage that, besides nutritional selection, it allows the identification of yeast cells that express wild-type (i.e., functional on ADE2 expression) or mutant (i.e.,not functional on ADE2) P53 from the colony color.
For example, yeast cells expressing the ADE2 gene generate normally sized white colonies on plates containing limiting amounts of adenine (2.5-5.0 mg/L), while those that poorly or do not transcribe it appear on the same plate as smaller red (or pink) colonies. This is due to accumulation of an intermediate in the adenine biosynthetic pathway (i.e., P-ribosylamino-imidazole, which has been previously called amino-imidazole ribotide or AIR), which is converted to form a red pigment. The qualitative color based ADE2 reporter gene has since been replaced with the quantitative Firefly Photinus pyralis (LUC1)12,22. More recently, the ADE2 reporter has been combined with the lacZ reporter in an easy-to-score, semi-quantitative, double reporter assay that can be exploited to sub-classify P53 mutants according to their residual level of functionality23.
Fluorescent reporters such as EGFP (enhanced green fluorescent protein) or DsRed (Discosoma sp. red fluorescent protein) have also been used for the quantitative evaluation of transactivation activity associated with all possible missense mutations in the TP53 coding sequence24. Lastly, the chance of combining tunable promoters for P53 allele expression with isogenic yeast strains differing for the RE and/or reporter gene has led to the development of a data matrix that generates a refined classification of cancer-associated and germline mutant P53 alleles25,26,27.
The approaches described above are used to measure the transcriptional activity of the P53 protein. However, the expression of wild-type P53 in the yeast S. cerevisiae28 and Schizosaccharomyces pombe29 can cause growth retardation, which has been associated with cell cycle arrest28,30 or cell death31. In both cases, yeast growth inhibition is triggered by high P53 expression and has been correlated with potential transcriptional modulation of endogenous yeast genes involved in cell growth. Supporting this hypothesis, the loss-of-function mutant P53 R273H did not interfere with yeast cell growth when expressed at similar levels as wild-type P5332. Conversely, the expression in yeast of the toxic mutant P53 V122A (known for higher transcriptional activity compared to wild-type P53) caused a stronger growth inhibitory effect than wild-type P5332.
Additionally, it was demonstrated that human MDM2 was able to inhibit the human P53 transcriptional activity in yeast, promoting its ubiquitination and subsequent degradation33. Accordingly, the ability of human MDM2 and MDMX to inhibit P53-induced yeast growth inhibition was demonstrated32,34. In an additional study, a correlation between P53 transcriptional activity and actin expression levels was established, with the identification of a putative P53 RE upstream on the ACT1 gene in yeast32. Consistently, actin expression was enhanced by wild-type P53 and even more so by P53 V122A, but not by mutant P53 R273H. Conversely, actin expression by P53 decreased in the co-presence of P53 inhibitors MDM2, MDMX, or pifithrin-α (a small-molecule inhibitor of P53 transcriptional activity), consistent with results based on the yeast-growth assay. Importantly, these results established a correlation between P53-induced growth inhibition and degree of its activity in yeast, which has been also exploited to identify and study small molecules modulating P53 functions28,34,35.