Dataset Information

TORC1 shapes the SUMO proteome to control RNA Polymerase III activity

ABSTRACT: Loss of nutrient supply elicits alterations of the SUMO proteome and sumoylation is crucial to various cellular processes including transcription. However, the physiological significance of sumoylation of transcriptional regulators is unclear. To begin clarifying this, we mapped the SUMO proteome under nitrogen-limiting conditions in Saccharomyces cerevisiae. Interestingly, several RNA polymerase III (RNAPIII) components are major SUMO targets under normal growth conditions, including Rpc53, Rpc82, and Ret1, and nutrient starvation results in rapid desumoylation of these proteins. These findings are supported by ChIP-seq experiments that show that SUMO is highly enriched at tDNA genes. Furthermore, RNA-seq experiments revealed that preventing sumoylation results in significantly decreased tRNA transcription. TORC1 inhibition resulted in the same effect, and our data indicate that the SUMO and TORC1 pathways are both required for robust tDNA expression. Importantly, tRNA transcription was strongly reduced in cells expressing a non-sumoylatable Rpc82-4KR mutant, which correlated with a misassembled RNAPIII transcriptional complex. Our data suggest that in addition to TORC1 activity, sumoylation of RNAPIII is key to reaching full translational capacity under optimal growth conditions.

OTHER RELATED OMICS DATASETS IN: PRJNA338964

INSTRUMENT(S): Q Exactive

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Joseph Robertson

LAB HEAD: Jorrit Enserink

PROVIDER: PXD005142 | Pride | 2017-01-21

REPOSITORIES: Pride

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TORC1-dependent sumoylation of Rpc82 promotes RNA polymerase III assembly and activity.

Chymkowitch Pierre P Nguéa P Aurélie A Aanes Håvard H Robertson Joseph J Klungland Arne A Enserink Jorrit M JM

Proceedings of the National Academy of Sciences of the United States of America 20170117 5

Maintaining cellular homeostasis under changing nutrient conditions is essential for the growth and development of all organisms. The mechanisms that maintain homeostasis upon loss of nutrient supply are not well understood. By mapping the SUMO proteome in Saccharomyces cerevisiae, we discovered a specific set of differentially sumoylated proteins mainly involved in transcription. RNA polymerase III (RNAPIII) components, including Rpc53, Rpc82, and Ret1, are particularly prominent nutrient-depen ...[more]

PMID: 28096404

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Project description:Proximity-dependent labelling (PL) methods are based on promiscuous labeling enzymes that produce reactive molecules that covalently bind neighbor proteins. Labeled proteins can be then purified and identified using affinity-purification coupled to mass spectrometry methods39. Proximity-dependent biotin identification (BioID)40 uses a promiscuously active Escherichia coli biotin ligase (BirA*) generated by a point mutation (R118G) to biotinylate lysines in nearby proteins within an estimated range of 10 nm41. By fusing BirA* to specific proteins, BioID efficiently identifies interactors at physiological levels in living cells42, 43. It has been extensively used in the Ub field, for instance, to identify substrates of E3 ligases44-46. Recently, a more efficient version of BioID, termed TurboID, has been developed47. TurboID can proximally biotinylate in 10 minutes to the same levels as BioID does in 18 hours, thus making it more suitable for transient protein-protein interaction (PPI) detection. Several studies have developed split-versions and applied “protein fragment complementation” (PCA) to BioID and TurboID, where proximal biotinylation is dependent on the proximity of the fusion partners, opening new opportunities for spatial and temporal identification of complex-dependent interactomes48-50. To study how SUMOylation and SUMO-SIM interactions can lead to other roles and fates for particular substrates poses particular challenges. SUMOylation occurs transiently and often in a small percentage of a given substrate. Modified proteins can be readily deSUMOylated and SUMO can be recycled and passed to other substrates. SUMO-SIM interactions are also difficult to analyze due to their weak affinity (Kd ranging from 1-100 µM). To overcome those technical issues, we developed SUMO-ID, a new strategy based on Split-TurboID to identify SUMO- interactors of specific substrates dependent on SUMO conjugation or interaction. Using PML as a model, we demonstrate that SUMO-ID can enrich for factors that depend on PML-SUMO interaction. Importantly, those are represented among proximal interactors of PML identified using full-length TurboID. We also applied SUMO-ID to a less-characterized SUMO substrate, Spalt like transcription factor 1 (SALL1), and identified both known and novel interactors that depend on intact SUMOylation sites in SALL1. SUMO-ID is thus a powerful tool to study transient and dynamic SUMO-dependent interaction events.

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