A Sampling of the Yeast Proteome

In this study, we examined yeast proteins by two-dimensional (2D) gel electrophoresis and gathered quantitative information from about 1,400 spots. We found that there is an enormous range of protein abundance and, for identified spots, a good correlation between protein abundance, mRNA abundance, and codon bias. For each molecule of well-translated mRNA, there were about 4,000 molecules of protein. The relative abundance of proteins was measured in glucose and ethanol media. Protein turnover was examined and found to be insignificant for abundant proteins. Some phosphoproteins were identified. The behavior of proteins in differential centrifugation experiments was examined. Such experiments with 2D gels can give a global view of the yeast proteome.     

Intermembrane Space Proteome of Yeast Mitochondria

The intermembrane space (IMS) represents the smallest subcompartment of mitochondria. Nevertheless, it plays important roles in the transport and modification of proteins, lipids, and metal ions and in the regulation and assembly of the respiratory chain complexes. Moreover, it is involved in many redox processes and coordinates key steps in programmed cell death. A comprehensive profiling of IMS proteins has not been performed so far. We have established a method that uses the proapoptotic protein Bax to release IMS proteins from isolated mitochondria, and we profiled the protein composition of this compartment. Using stable isotope-labeled mitochondria from Saccharomyces cerevisiae, we were able to measure specific Bax-dependent protein release and distinguish between quantitatively released IMS proteins and the background efflux of matrix proteins. From the known 31 soluble IMS proteins, 29 proteins were reproducibly identified, corresponding to a coverage of >90%. In addition, we found 20 novel intermembrane space proteins, out of which 10 had not been localized to mitochondria before. Many of these novel IMS proteins have unknown functions or have been reported to play a role in redox regulation. We confirmed IMS localization for 15 proteins using in organello import, protease accessibility upon osmotic swelling, and Bax-release assays. Moreover, we identified two novel mitochondrial proteins, Ymr244c-a (Coa6) and Ybl107c (Mic23), as substrates of the MIA import pathway that have unusual cysteine motifs and found the protein phosphatase Ptc5 to be a novel substrate of the inner membrane protease (IMP). For Coa6 we discovered a role as a novel assembly factor of the cytochrome c oxidase complex. We present here the first and comprehensive proteome of IMS proteins of yeast mitochondria with 51 proteins in total. The IMS proteome will serve as a valuable source for further studies on the role of the IMS in cell life and death.Mitochondria are double-membrane-bound organelles that fulfill a multitude of important cellular functions. Proteomic analysis of purified mitochondria revealed that they contain approximately 1000 (yeast) to 1500 (human) different proteins (1–3). However, the distribution of these proteins among the four mitochondrial subcompartments (outer membrane, inner membrane, matrix, and intermembrane space) has been only marginally studied through global approaches. This is attributed to the high complexity of purifying submitochondrial fractions to a grade suitable for proteomic analysis. The best-studied submitochondrial proteomes comprise the outer membranes of S. cerevisae, N. crassa, and A. thaliana (4–6). The mitochondrial intermembrane space (IMS)¹ represents a highly interesting compartment for several reasons: it provides a redox active space that promotes oxidation of cysteine residues similar to the endoplasmic reticulum and the bacterial periplasm, but unlike cytosol, nucleus, or the mitochondrial matrix where the presence of thioredoxins or glutaredoxins prevents the risk of unwanted cysteine oxidation (7, 8). Furthermore in higher eukaryotes IMS proteins are released into the cytosol upon apoptotic induction, which triggers the activation of a cell-killing protease activation cascade (9, 10). The IMS can also exchange proteins, lipids, metal ions, and various metabolites with other cellular compartments, allowing mitochondrial metabolism to adapt to cellular homeostasis. In particular, the biogenesis and activity of the respiratory chain were shown to be controlled by various proteins of the IMS (11–13). Most of the currently known IMS proteins are soluble proteins; however, some inner membrane proteins have been annotated as IMS proteins as well, such as proteins that are peripherally attached to the inner membrane or membrane proteins that expose enzyme activity toward the IMS (8).All IMS proteins are encoded in the nuclear DNA and have to be imported after translation in the cytosol (14–19). Two main pathways are known to mediate the import and sorting of proteins into the IMS. One class of proteins contains bipartite presequences that consist of a matrix targeting signal and a hydrophobic sorting signal. These signals arrest the incoming preprotein at the inner membrane translocase TIM23. After insertion into the inner membrane, the soluble, mature protein can be released into the IMS by the inner membrane protease (IMP) (20–22). The second class of IMS proteins possesses characteristic cysteine motifs that typically are either twin CX₉C or twin CX₃C motifs (23, 24). Upon translocation across the outer membrane via the TOM complex, disulfide bonds are formed within the preproteins, which traps them in the IMS. Disulfide bond formation is mediated by the MIA machinery, which consists of the inner-membrane-anchored Mia40 and the soluble IMS protein Erv1 (25–28).The release of cytochrome c from the IMS upon binding and insertion of Bax at the outer membrane is a hallmark of programmed cell death. Although Bax is found only in higher eukaryotes, it was shown that recombinant mammalian Bax induces the release of cytochrome c upon incubation with isolated yeast mitochondria (29, 30). Furthermore, we found that not only cytochrome c but also other soluble IMS proteins are released from Bax-treated yeast mitochondria, whereas soluble matrix proteins largely remain within the organelle (30).We used this apparently conserved mechanism to systematically profile the protein composition of the yeast mitochondrial IMS by employing an experimental approach based on stable isotope labeling, which allowed for the specific identification of Bax-dependent protein release. Almost the entire set of known soluble IMS proteins was identified, and 20 additional, novel soluble IMS proteins were found. We confirmed IMS localization for 15 proteins through biochemical assays. Among these proteins, we identified novel proteins that fall into several classes: (i) those that are involved in maintaining protein redox homeostasis (thioredoxins, thioredoxin reductases, or thiol peroxidases), (ii) those that undergo proteolytic processing by IMP (Ptc5), (iii) those that utilize the MIA pathway for their import (Mic23 and Coa6), and (iv) those that play a role in the assembly of cytochrome c oxidase (Coa6).     

Multiple Motif Scanning to Identify Methyltransferases from the Yeast Proteome

A new program (Multiple Motif Scanning) was developed to scan the Saccharomyces cerevisiae proteome for Class I S-adenosylmethionine-dependent methyltransferases. Conserved Motifs I, Post I, II, and III were identified and expanded in known methyltransferases by primary sequence and secondary structural analysis through hidden Markov model profiling of both a yeast reference database and a reference database of methyltransferases with solved three-dimensional structures. The roles of the conserved amino acids in the four motifs of the methyltransferase structure and function were then analyzed to expand the previously defined motifs. Fisher-based negative log statistical matrix sets were developed from the prevalence of amino acids in the motifs. Multiple Motif Scanning is able to scan the proteome and score different combinations of the top fitting sequences for each motif. In addition, the program takes into account the conserved number of amino acids between the motifs. The output of the program is a ranked list of proteins that can be used to identify new methyltransferases and to reevaluate the assignment of previously identified putative methyltransferases. The Multiple Motif Scanning program can be used to develop a putative list of enzymes for any type of protein that has one or more motifs conserved at variable spacings and is freely available (www.chem.ucla.edu/files/MotifSetup.Zip). Finally hidden Markov model profile clustering analysis was used to subgroup Class I methyltransferases into groups that reflect their methyl-accepting substrate specificity.Enzymes that catalyze the transfer of a methyl group from S-adenosylmethionine to protein, nucleic acid, lipid, and small molecule substrates are widely distributed in nature and function in a variety of biological pathways including metabolic regulation, gene expression, the repair of aging biomolecules, and biosynthesis (1). There are several classes of AdoMet¹ dependent methyltransferases. Class I enzymes are the most abundant and share a common three-dimensional structural core that includes a seven-strand twisted β sheet (2–5). It has been estimated that about 0.6–1.6% of genes in organisms ranging from Escherichia coli, Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, Arabidopsis thaliana, and humans encode Class I methyltransferases (6). These results suggest that there are some 50 species in yeast and some 300 species in humans. However, most of these assignments have not been confirmed, and only a relatively small fraction of them have been functionally identified. Previous bioinformatics studies on Class I methyltransferases have taken advantage of the fact that the structure of the AdoMet binding site is conserved in the primary sequences of four short signature motifs designated Motifs I, Post I, II, and III (6–8). These motifs are present with variable, but often conserved, spacing in the primary sequences. Initial identifications of Class I methyltransferases in the yeast proteome were based on searches with a “Motifs in Protein Data Bases” program with individual motifs to generate a list of putative methyltransferases (8). More recently, Katz et al. (6) performed a search using the Motif Alignment and Search Tool (MAST) with Multiple Em for Motif Elicitation (MEME)-generated matrices combining Motifs I/Post I as well as PSI-BLAST searches to identify methyltransferases in both yeast and a variety of other organisms. However, the success of these methods was limited by difficulties in identifying these motifs in the known methyltransferases. In fact, it was not possible to take advantage of the information content of Motifs II and III in the latter study (6).In recent years, two developments have provided new windows to improve the screening of proteomes to identify the complete cast of Class I methyltransferases in various organisms. In the first place, three-dimensional structures are now known for a large number of Class I methyltransferases. Because the motifs are closely linked to structural features (2–4), their identification is unambiguous. Secondly secondary structure prediction algorithms can now be used as independent confirmations of the structure-linked sequence motifs in methyltransferases whose structures have not been determined. We wanted to take advantage of the improved motif identification by developing advanced software for searching proteomes for multiple motifs at varying, but partially conserved, spacing. We have now used secondary structure prediction to obtain the motifs of a reference group of 32 known yeast methyltransferases and a search of the Research Collaboratory for Structural Bioinformatics Protein Data Bank to identify the motifs of a second reference group of 33 distinct types of Class I methyltransferases with three-dimensional structures. We describe a method for generating search matrices for each of these reference groups and a program “Multiple Motif Scanning” to score these matrices in the yeast proteome. This approach not only identified new methyltransferases but allowed us to reject some of the previously described candidate methyltransferases. Additionally we used HMM profile clustering analysis to extract more information about the possible substrates of these putative methyltransferases (9).     

The Redox Proteome

The redox proteome consists of reversible and irreversible covalent modifications that link redox metabolism to biologic structure and function. These modifications, especially of Cys, function at the molecular level in protein folding and maturation, catalytic activity, signaling, and macromolecular interactions and at the macroscopic level in control of secretion and cell shape. Interaction of the redox proteome with redox-active chemicals is central to macromolecular structure, regulation, and signaling during the life cycle and has a central role in the tolerance and adaptability to diet and environmental challenges.     

A Fast and Practical Yeast Transformation Method Mediated by Escherichia coli Based on a Trans-Kingdom Conjugal Transfer System: Just Mix Two Cultures and Wait One Hour

Trans-kingdom conjugation is a phenomenon by which DNA is transferred into a eukaryotic cell by a bacterial conjugal transfer system. Improvement in this method to facilitate the rapid co-cultivation of donor bacterial and recipient eukaryotic cell cultures could make it the simplest transformation method, requiring neither isolation of vector DNA nor preparation of competent recipient cells. To evaluate this potential advantage of trans-kingdom conjugation, we examined this simple transformation method using vector combinations, helper plasmids, and recipient Saccharomyces cerevisiae strains. Mixing donor Escherichia coli and recipient S. cerevisiae overnight cultures (50 μL each) consistently yielded on the order of 10¹ transformants using the popular experimental strain BY4742 derived from S288c and a shuttle vector for trans-kingdom conjugation. Transformation efficiency increased to the order of 10² using a high receptivity trans-kingdom conjugation strain. In addition, either increasing the amount of donor cells or pretreating the recipient cells with thiols such as dithiothreitol improved the transformation efficiency by one order of magnitude. This simple trans-kingdom conjugation-mediated transformation method could be used as a practical yeast transformation method upon enrichment of available vectors and donor E. coli strains.     

Comparison of the Yeast Proteome to Other Fungal Genomes to Find Core Fungal Genes

The purpose of this research was to search for evolutionarily conserved fungal sequences to test the hypothesis that fungi have a set of core genes that are not found in other organisms, as these genes may indicate what makes fungi different from other organisms. By comparing 6355 predicted or known yeast (Saccharomyces cerevisiae) genes to the genomes of 13 other fungi using Standalone TBLASTN at an e-value <1E-5, a list of 3340 yeast genes was obtained with homologs present in at least 12 of 14 fungal genomes. By comparing these common fungal genes to complete genomes of animals (Fugu rubripes, Caenorhabditis elegans), plants (Arabidopsis thaliana, Oryza sativa), and bacteria (Agrobacterium tumefaciens, Xylella fastidiosa), a list of common fungal genes with homologs in these plants, animals, and bacteria was produced (938 genes), as well as a list of exclusively fungal genes without homologs in these other genomes (60 genes). To ensure that the 60 genes were exclusively fungal, these were compared using TBLASTN to the major sequence databases at GenBank: NR (nonredundant), EST (expressed sequence tags), GSS (genome survey sequences), and HTGS (unfinished high-throughput genome sequences). This resulted in 17 yeast genes with homologs in other fungal genomes, but without known homologs in other organisms. These 17 core, fungal genes were not found to differ from other yeast genes in GC content or codon usage patterns. More intensive study is required of these 17 genes and other common fungal genes to discover unique features of fungi compared to other organisms.Reviewing Editor: Prof. David Gottman     

一种快速、有效、经济的提取酵母质粒的方法

目的：建立一种经济有效、快速简便、稳定的提取酵母质粒的方法。方法：用葡糖苷酸酶消化酵母细胞壁以获取原生质体,然后采用碱裂解法裂解原生质体以获得质粒。结果：与采用商品化离心柱法试剂盒所提取的质粒相比,用该法获取的酵母质粒在PCR分析及转化效果方面没有差异。结论：建立了一种经济有效、快速简便、稳定的提取酵母质粒的方法。     

The One Hour COVID Test: A Rapid Colorimetric Reverse-Transcription LAMP–Based COVID-19 Test Requiring Minimal Equipment

At this writing, over 100 million people have tested positive for Corona Virus Disease-19 (COVID-19), and the global death toll from this disease has reached nearly 3 million. Despite the many tests currently available, we have not yet achieved the testing capacity needed to limit the spread of the virus and mitigate suffering worldwide. We have developed the One Hour COVID Test to address this challenge. Our test leverages an easy-to-use, commercially available oral swab kit for sample collection paired with a novel RNA processing protocol and a simple colorimetric assay that requires minimal equipment. The test can be easily scaled via automation and takes 1 h from sample collection to result.