Highlights d Lack of K11 ubiquitin chains affects transcription of methionine pathway enzymes d A K48 ubiquitin chain on the transcription factor Met4 prevents mediator binding d Met4 activation is initiated by a change from K48 to K11 linkages on Met4 d K11 linkages do not compete with mediator binding and allow transcription

Ubiquitination is one of the most common post-translational modifications, regulating protein stability and function. However, the proteome-wide profiling of ubiquitinated proteins remains challenging due to their low abundance in cells. In this study, we systematically evaluated the affinity of ubiquitin-binding domains (UBDs) to different types of ubiquitin chains. By selecting UBDs with high affinity and evaluating various UBD combinations with different lengths and types, we constructed two artificial tandem hybrid UBDs (ThUBDs), including four UBDs made of DSK2p-derived ubiquitin-associated (UBA) and ubiquilin 2-derived UBA (ThUDQ2) and of DSK2p-derived UBA and RABGEF1-derived A20-ZnF (ThUDA20). ThUBD binds to ubiquitinated proteins, with markedly higher affinity than naturally occurring UBDs. Furthermore, it displays almost unbiased high affinity to all seven lysine-linked chains. Using ThUBD-based profiling with mass spectrometry, we identified 1092 and 7487 putative ubiquitinated proteins from yeast and mammalian cells, respectively, of which 362 and 1125 proteins had ubiquitin-modified sites. These results demonstrate that ThUBD is a refined and promising approach for enriching the ubiquitinated proteome while circumventing the need to overexpress tagged ubiquitin variants and use antibodies to recognize ubiquitin remnants, thus providing a readily accessible tool for the protein ubiquitination research community. Molecular & Cellular

Ubiquitination is one of the most common post-translational modifications, regulating protein stability and function. However, the proteome-wide profiling of ubiquitinated proteins remains challenging due to their low abundance in cells. In this study, we systematically evaluated the affinity of ubiquitin-binding domains (UBDs) to different types of ubiquitin chains. By selecting UBDs with high affinity and evaluating various UBD combinations with different lengths and types, we constructed two artificial tandem hybrid UBDs (ThUBDs), including four UBDs made of DSK2p-derived ubiquitin-associated (UBA) and ubiquilin 2-derived UBA (ThUDQ2) and of DSK2p-derived UBA and RABGEF1-derived A20-ZnF (ThUDA20). ThUBD binds to ubiquitinated proteins, with markedly higher affinity than naturally occurring UBDs. Furthermore, it displays almost unbiased high affinity to all seven lysine-linked chains. Using ThUBD-based profiling with mass spectrometry, we identified 1092 and 7487 putative ubiquitinated proteins from yeast and mammalian cells, respectively, of which 362 and 1125 proteins had ubiquitin-modified sites. These results demonstrate that ThUBD is a refined and promising approach for enriching the ubiquitinated proteome while circumventing the need to overexpress tagged ubiquitin variants and use antibodies to recognize ubiquitin remnants, thus providing a readily accessible tool for the protein ubiquitination research community. Molecular & Cellular

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Sterol homeostasis is tightly controlled by molecules that are highly conserved from yeast to humans, the dysregulation of which plays critical roles in the development of antifungal resistance and various cardiovascular diseases. Previous studies have shown that sterol homeostasis is regulated by the ubiquitin–proteasome system. Two E3 ubiquitin ligases, Hrd1 and Doa10, are known to mediate the proteasomal degradation of 3-hydroxy-3-methylglutaryl-CoA reductase Hmg2 and squalene epoxidase Erg1 with accumulation of the toxic sterols in cells, but the deubiquitinases (DUBs) involved are unclear. Here, we screened for DUBs responsible for sterol homeostasis using yeast strains from a DUB-deletion library. The defective growth observed in ubp3 -deleted ( ubp3 Δ) yeast upon fluconazole treatment suggests that lack of Ubp3 disrupts sterol homeostasis. Deep-coverage quantitative proteomics reveals that ergosterol biosynthesis is rerouted into a sterol pathway that generates toxic products in the absence of Ubp3. Further genetic and biochemical analysis indicated that Ubp3 enhances the proteasome's ability to degrade the ergosterol biosynthetic enzymes Erg1 and Erg3. The retardation of ergosterol enzyme degradation in the ubp3 Δ strain resulted in the severe accumulation of the intermediate lanosterol and a branched toxic sterol, and ultimately disrupted sterol homeostasis and led to the fluconazole susceptibility. Our findings uncover a role for Ubp3 in sterol homeostasis and highlight its potential as a new antifungal target.

Deinococcus radiodurans is a robust bacterium best known for its capacity to resist to radiation. In this study, the SDS-PAGE coupled with high-precision LC-MS/MS was used to study the D. radiodurans proteome. A total of 1951 proteins were identified which covers 63.18% protein-coding genes. Comparison of the identified proteins to the key enzymes in amino acid biosyntheses from KEGG database showed the methionine biosynthesis module is incomplete while other amino acid biosynthesis modules are complete, which indicated methionine auxotrophy in D. radiodurans. The subsequent amino acid-auxotrophic screening has verified methionine instead of other amino acids is essential for the growth of D. radiodurans. With molecular evolutionary genetic analysis, we found the divergence in methionine biosynthesis during the evolution of the common ancestor of bacteria. We also found D. radiodurans lost the power of synthesizing methionine because of the missing metA and metX in two types of methionine biosyntheses. For the first time, this study used high-coverage proteome analysis to identify D. radiodurans amino acid auxotrophy, which provides the important reference for the development of quantitative proteomics analysis using stable isotope labeling in metabolomics of D. radiodurans and in-depth analysis of the molecular mechanism of radiation resistance.

Ubiquitin ligases (E3s) serve as key regulators for the ubiquitylation-mediated pathway. The identification of the corresponding relationship between E3 and its substrates is challenging but required for understanding the regulatory network of ubiquitylation. The low abundance of ubiquitinated conjugates and high redundancy of E3 substrate regulation made the screening pretty hard. Herein, we combined SILAC-based quantitative proteomics with two contrary genetic methods (overexpression and knockout) in theory for E3 (Hrt3, the F-box subunit of the SCF complex) substrate screening. The knockout method could not overcome the constraint mentioned above, while the overexpression approach turned on the access to the potential substrates of E3. Subsequently, we obtained 77 candidates, which are involved in many critical biological processes and need to be verified in the future. Within these candidates, we confirmed the relationship between one of the candidates Nce103 and Hrt3 and linked Hrt3 with oxygen sensitivity and oxidative stress response in which Nce103 took part as well. This research is also beneficial for understanding the impact of oxygen supply on regulation of yeast growth through the ubiquitination of Nce103.

Quantitative proteomics has emerged as a crucial approach to identifying ubiquitinated substrates to investigate the functions of ubiquitination in cells. In this regard, although the substrate screening of certain enzymes in the ubiquitin system has been based on proteome or ubiquitinome level measurements, the direct comparison of these two approaches has not been determined to date. To quantitatively compare the efficiency and effectiveness of substrate screening from the entire proteomics to the ubiquitinomics filter, we used yeast deubiquitinating enzyme, Ubp7, as an example to evaluate it in this study. A total of 112 potential ubiquitinated substrates were identified from the ubiquitinomics level, whereas only 27 regulated substrates were identified from the entire proteomic screening, demonstrating the increased efficiency of ubiquitinomics quantitative analysis. Subsequently, we selected cyclophilin A (Cpr1) protein as an example, which was filtered out at the proteomics level but was a promising candidate according to the ubiquitinomics filter. Additional investigations revealed that Cpr1 possessed a K48linked ubiquitin chain regulated by Ubp7, which may affect its homeostasis and, consequently, sensitivity to the therapeutic drug cyclosporine (CsA).