Yeast ORF Research Articles

Evidence for a Nonendosomal Function of the Saccharomyces cerevisiae ESCRT-III-Like Protein Chm7.

Endosomal sorting complex required for transport (ESCRT) proteins are involved in a number of cellular processes, such as endosomal protein sorting, HIV budding, cytokinesis, plasma membrane repair, and resealing of the nuclear envelope during mitosis. Here we explored the function of a noncanonical member of the ESCRT-III protein family, the Saccharomyces cerevisiae ortholog of human CHMP7. Very little is known about this protein. In silico analysis predicted that Chm7 (yeast ORF YJL049w) is a fusion of an ESCRT-II and ESCRT-III-like domain, which would suggest a role in endosomal protein sorting. However, our data argue against a role of Chm7 in endosomal protein sorting. The turnover of the endocytic cargo protein Ste6 and the vacuolar protein sorting of carboxypeptidase S (CPS) were not affected by CHM7 deletion, and Chm7 also responded very differently to a loss in Vps4 function compared to a canonical ESCRT-III protein. Our data indicate that the Chm7 function could be connected to the endoplasmic reticulum (ER). In line with a function at the ER, we observed a strong negative genetic interaction between the deletion of a gene function (APQ12) implicated in nuclear pore complex assembly and messenger RNA (mRNA) export and the CHM7 deletion. The patterns of genetic interactions between the APQ12 deletion and deletions of ESCRT-III genes, two-hybrid interactions, and the specific localization of mCherry fusion proteins are consistent with the notion that Chm7 performs a novel function at the ER as part of an alternative ESCRT-III complex.

A Genome Scale Screen for Mutants with Delayed Exit from Mitosis: Ire1-Independent Induction of Autophagy Integrates ER Homeostasis into Mitotic Lifespan.

Proliferating eukaryotic cells undergo a finite number of cell divisions before irreversibly exiting mitosis. Yet pathways that normally limit the number of cell divisions remain poorly characterized. Here we describe a screen of a collection of 3762 single gene mutants in the yeast Saccharomyces cerevisiae, accounting for 2/3 of annotated yeast ORFs, to search for mutants that undergo an atypically high number of cell divisions. Many of the potential longevity genes map to cellular processes not previously implicated in mitotic senescence, suggesting that regulatory mechanisms governing mitotic exit may be broader than currently anticipated. We focused on an ER-Golgi gene cluster isolated in this screen to determine how these ubiquitous organelles integrate into mitotic longevity. We report that a chronic increase in ER protein load signals an expansion in the assembly of autophagosomes in an Ire1-independent manner, accelerates trafficking of high molecular weight protein aggregates from the cytoplasm to the vacuoles, and leads to a profound enhancement of daughter cell production. We demonstrate that this catabolic network is evolutionarily conserved, as it also extends reproductive lifespan in the nematode Caenorhabditis elegans. Our data provide evidence that catabolism of protein aggregates, a natural byproduct of high protein synthesis and turn over in dividing cells, is among the drivers of mitotic longevity in eukaryotes.

Biochemical Characterization of Hpa2 and Hpa3, Two Small Closely Related Acetyltransferases from Saccharomyces cerevisiae

Based on their sequences, the Saccharomyces cerevisiae Hpa2 and Hpa3 proteins are annotated as two closely related members of the Gcn5 acetyltransferase family. Here, we describe the biochemical characterization of Hpa2 and Hpa3 as bona fide acetyltransferases with different substrate specificities. Mutational and MALDI-TOF analyses showed that Hpa3 translation initiates primarily from Met-19 rather than the annotated start site, Met-1, with a minor product starting at Met-27. When expressed in Escherichia coli and assayed in vitro, Hpa2 and Hpa3 (from Met-19) acetylated histones and polyamines. Whereas Hpa2 acetylated histones H3 and H4 (at H3 Lys-14, H4 Lys-5, and H4 Lys-12), Hpa3 acetylated only histone H4 (at Lys-8). Additionally, Hpa2, but not Hpa3, acetylated certain small basic proteins. Hpa3, but not Hpa2, has been reported to acetylate D-amino acids, and we present results consistent with that. Overexpression of Hpa2 or Hpa3 is toxic to yeast cells. However, their deletions do not show any standard phenotypic defects. These results suggest that Hpa2 and Hpa3 are similar but distinct acetyltransferases that might have overlapping roles with other known acetyltransferases in vivo in acetylating histones and other small proteins.

The Isothiocyanate, Sulforaphane, Alters the Acidification of the Vacuole to Trigger Yeast Cell Death

The isothiocyanate, sulforaphane (SFN), isolated from cruciferous vegetables is a potential chemotherapeutic agent. Recent studies in mammalian cells have suggested that SFN works by causing cell cycle arrest and/or initiating programmed cell death (PCD). In order to identify genes that may be involved in the eukaryotic cell's response to SFN, we initiated a genetic screen using the yeast knockout (YKO) library of the budding yeast, Saccharomyces cerevisiae, to identify loss of function mutants that are hypersensitive to SFN. We have identified 311 SFN‐sensitive and 11 SFN‐resistant mutants in yeast ORFs that had been previously linked to vacuolar acidification suggesting that SFN kills cells by altering the acidification of the yeast vacuole. Staining with BCECF‐AM confirmed that SFN makes yeast vacuoles more basic. Strikingly, cells cultured in lethal concentrations of benzyl isothiocyanate and phenethyl isothiocyanate did not exhibit changes in vacuole acidification, suggesting that this trigger of programmed cell death is unique to sulforaphane. [Our laboratory is supported by the following grants: NIGMS R15 GM094712, NSF MRI‐R2 0959354 and NIH Grant 2 P20 RR016457 to the Rhode Island INBRE Program]

Yeast screens for host factors in positive-strand RNA virus replication based on a library of temperature-sensitive mutants

RNA viruses exploit host cells by altering cellular pathways, recruiting host factors, remodeling intracellular membranes and escaping host antiviral responses. Model hosts, such as Saccharomyces cerevisiae (yeast), are valuable to identify host factors involved in viral RNA replication. The many advantages of using yeast include the availability of various yeast mutant libraries, such as (i) single gene-deletion library; (ii) the essential gene library (yTHC); and (iii) the yeast ORF over-expression library. Here, we have used a novel temperature-sensitive (ts) mutant library of essential yeast genes to identify 118 host proteins affecting replication of Tomato bushy stunt virus, in yeast model host. Testing 787 ts mutants led to the identification of host factors, of which 72 proteins facilitated TBSV replication in yeast and 46 proteins were inhibitory. Altogether, ∼85% of the identified proteins are novel host factors affecting tombusvirus replication. The ts mutant library screen also led to the identification of 17 essential genes, which have been documented before, thus confirming the importance of these genomic screens. Overall, we show the power of ts mutant library in identification of host factors for RNA virus replication.

The yin and yang of yeast transcription: elements of a global feedback system between metabolism and chromatin.

When grown in continuous culture, budding yeast cells tend to synchronize their respiratory activity to form a stable oscillation that percolates throughout cellular physiology and involves the majority of the protein-coding transcriptome. Oscillations in batch culture and at single cell level support the idea that these dynamics constitute a general growth principle. The precise molecular mechanisms and biological functions of the oscillation remain elusive. Fourier analysis of transcriptome time series datasets from two different oscillation periods (0.7 h and 5 h) reveals seven distinct co-expression clusters common to both systems (34% of all yeast ORF), which consolidate into two superclusters when correlated with a compilation of 1,327 unrelated transcriptome datasets. These superclusters encode for cell growth and anabolism during the phase of high, and mitochondrial growth, catabolism and stress response during the phase of low oxygen uptake. The promoters of each cluster are characterized by different nucleotide contents, promoter nucleosome configurations, and dependence on ATP-dependent nucleosome remodeling complexes. We show that the ATP:ADP ratio oscillates, compatible with alternating metabolic activity of the two superclusters and differential feedback on their transcription via activating (RSC) and repressive (Isw2) types of promoter structure remodeling. We propose a novel feedback mechanism, where the energetic state of the cell, reflected in the ATP:ADP ratio, gates the transcription of large, but functionally coherent groups of genes via differential effects of ATP-dependent nucleosome remodeling machineries. Besides providing a mechanistic hypothesis for the delayed negative feedback that results in the oscillatory phenotype, this mechanism may underpin the continuous adaptation of growth to environmental conditions.

Systematic Localization Study on Novel Proteins Encoded by Meiotically Up-Regulated ORFs in Fission Yeast

We conducted a mitotic localization study on gene products encoded by 56 uncharacterized fission yeast ORFs that were transcriptionally up-regulated during meiotic division. Despite meiotic gene induction, these genes were expressed during mitosis as well. Seven gene products were localized in the nucleus and/or chromatin; another one was a mitosis-specific spindle pole body component and, intriguingly, its human homologue was also localized in the centrosome of cultured HeLa cells. Two products appeared to be localized in cytoplasmic microtubules, whereas four were mitochondrial proteins. Three other proteins were found in the medial ring upon cytokinesis and another was localized on the entire cell periphery. The remaining 38 proteins were detected in the cytoplasm and showed varied spatial patterns. This systematic study helps our integrated understanding of all the protein functions in the fission yeast as a eukaryotic model.

FASTA barcodes: a simple method for the identification of yeast ORF deletions

A consortium of yeast geneticists have created -6000 individual ORF deletions, representing > 96% of the currently verified or predicted ORFs in S. cerevisiae. Importantly, molecular barcodes (each a unique 20 bp sequence termed either Uptag or Downtag) were used as identifiers for every ORF deletion. Microarray analyses of pooled yeast deletions has been used to identify thousands of genes involved in general fitness, haploinsufficiency, drug resistance and DNA damage repair. However, application of this powerful technology requires considerable expense, expertise and specialized equipment. While standard PCR techniques and specifically designed PCR primers can be used to confirm that a given ORF is in fact deleted, this procedure cannot be used to identify unknown deletions. In theory, every ORF deletion could be determined by barcode sequencing. However, neither a consolidated barcode database nor a reliable search engine is currently available for this purpose. To address this need, we have adapted a FASTA sequence program that utilizes the unique barcode database to allow users to identify individual ORF deletions, based upon simple sequencing reactions of PCR amplifications of either Uptag or Downtag barcodes. In silico and practical testing of this application reveals that it is an inexpensive, reliable and reproducible method for rapidly identifying unknown deletions. This approach allows laboratories to conduct small- or large-scale genetic screens with pooled yeast deletion strains and identify or verify any ORF deletion without the need for microarray technology.

A genomic analysis of chronological longevity factors in budding yeast

Chronological life span (CLS) has been studied as an aging paradigm in yeast. A few conserved aging genes have been identified that modulate both chronological and replicative longevity in yeast as well as longevity in the nematode Caenorhabditis elegans; however, a comprehensive analysis of the relationship between genetic control of chronological longevity and aging in other model systems has yet to be reported. To address this question, we performed a functional genomic analysis of chronological longevity for 550 single-gene deletion strains, which accounts for approximately 12% of the viable homozygous diploid deletion strains in the yeast ORF deletion collection. This study identified 33 previously unknown determinants of CLS. We found no significant enrichment for enhanced CLS among deletions corresponding to yeast orthologs of worm aging genes or among replicatively long-lived deletion strains, although a trend toward overlap was noted. In contrast, a subset of gene deletions identified from a screen for reduced acidification of culture media during growth to stationary phase was enriched for increased CLS. These results suggest that genetic control of CLS under the most commonly utilized assay conditions does not strongly overlap with longevity determinants in C. elegans, with the existing confined to a small number of genetic pathways. These data also further support the model that acidification of the culture medium plays an important role in survival during chronological aging in synthetic medium, and suggest that chronological aging studies using alternate medium conditions may be more informative with regard to aging of multicellular eukaryotes.

Identification of Nucleases and Phosphatases by Direct Biochemical Screen of the Saccharomyces cerevisiae Proteome

The availability of yeast strain collections expressing individually tagged proteins to facilitate one-step purification provides a powerful approach to identify proteins with particular biochemical activities. To identify novel exo- and endo-nucleases that might function in DNA repair, we undertook a proteomic screen making use of the movable ORF (MORF) library of yeast expression plasmids. This library consists of 5,854 yeast strains each expressing a unique yeast ORF fused to a tripartite tag consisting of His6, an HA epitope, a protease 3C cleavage site, and the IgG-binding domain (ZZ) from protein A, under the control of the GAL1 promoter for inducible expression. Pools of proteins were partially purified on IgG sepharose and tested for nuclease activity using three different radiolabeled DNA substrates. Several known nucleases and phosphatases were identified, as well as two new members of the histidine phosphatase superfamily, which includes phosphoglycerate mutases and phosphatases. Subsequent characterization revealed YDR051c/Det1 to be an acid phosphatase with broad substrate specificity, whereas YOR283w has a broad pH range and hydrolyzes hydrophilic phosphorylated substrates. Although no new nuclease activities were identified from this screen, we did find phosphatase activity associated with a protein of unknown function, YOR283w, and with the recently characterized protein Det1. This knowledge should guide further genetic and biochemical characterization of these proteins.

A molecular barcoded yeast ORF library enables mode-of-action analysis of bioactive compounds

We present a yeast chemical-genomics approach designed to identify genes that when mutated confer drug resistance, thereby providing insight about the modes of action of compounds. We developed a molecular barcoded yeast open reading frame (MoBY-ORF) library in which each gene, controlled by its native promoter and terminator, is cloned into a centromere-based vector along with two unique oligonucleotide barcodes. The MoBY-ORF resource has numerous genetic and chemical-genetic applications, but here we focus on cloning wild-type versions of mutant drug-resistance genes using a complementation strategy and on simultaneously assaying the fitness of all transformants with barcode microarrays. The complementation cloning was validated by mutation detection using whole-genome yeast tiling microarrays, which identified unique polymorphisms associated with a drug-resistant mutant. We used the MoBY-ORF library to identify the genetic basis of several drug-resistant mutants and in this analysis discovered a new class of sterol-binding compounds.

Mechanisms of copper toxicity in Saccharomyces cerevisiae determined by microarray analysis

The effect of the heavy metal copper on the expression of a wide spectrum of genes was analyzed by using a DNA microarray. The gene expression profile of baker's yeast Saccharomyces cerevisiae grown in a medium containing a sublethal concentration of cupric sulfate was compared with that of yeast grown in a normal medium. Among approximately 6000 yeast ORFs, 143 ORFs were induced more than twofold to resist copper toxicity after exposure to copper. Copper metallothionein CUP1-1 and CUP1-2 were induced more than 20-fold. Some genes related to sulfur metabolism and oxidative stress response were also up-regulated. This DNA microarray analysis identified several molecular targets of copper toxicity.

Identification of Formyl Kynurenine Formamidase and Kynurenine Aminotransferase fromSaccharomyces cerevisiaeUsing Crystallographic, Bioinformatic and Biochemical Evidence

The essential enzymatic cofactor NAD+ can be synthesized in many eukaryotes, including Saccharomyces cerevisiae and mammals, using tryptophan as a starting material. Metabolites along the pathway or on branches have important biological functions. For example, kynurenic acid can act as an NMDA antagonist, thereby functioning as a neuroprotectant in a wide range of pathological states. N-Formyl kynurenine formamidase (FKF) catalyzes the second step of the NAD+ biosynthetic pathway by hydrolyzing N-formyl kynurenine to produce kynurenine and formate. The S. cerevisiae FKF had been reported to be a pyridoxal phosphate-dependent enzyme encoded by BNA3. We used combined crystallographic, bioinformatic and biochemical methods to demonstrate that Bna3p is not an FKF but rather is most likely the yeast kynurenine aminotransferase, which converts kynurenine to kynurenic acid. Additionally, we identify YDR428C, a yeast ORF coding for an alpha/beta hydrolase with no previously assigned function, as the FKF. We predicted its function based on our interpretation of prior structural genomics results and on its sequence homology to known FKFs. Biochemical, bioinformatics, genetic and in vivo metabolite data derived from LC-MS demonstrate that YDR428C, which we have designated BNA7, is the yeast FKF.

Identification of yeast tRNA Um44 2′-O-methyltransferase (Trm44) and demonstration of a Trm44 role in sustaining levels of specific tRNASer species

A characteristic feature of tRNAs is the numerous modifications found throughout their sequences, which are highly conserved and often have important roles. Um(44) is highly conserved among eukaryotic cytoplasmic tRNAs with a long variable loop and unique to tRNA(Ser) in yeast. We show here that the yeast ORF YPL030w (now named TRM44) encodes tRNA(Ser) Um(44) 2'-O-methyltransferase. Trm44 was identified by screening a yeast genomic library of affinity purified proteins for activity and verified by showing that a trm44-delta strain lacks 2'-O-methyltransferase activity and has undetectable levels of Um(44) in its tRNA(Ser) and by showing that Trm44 purified from Escherichia coli 2'-O-methylates U(44) of tRNA(Ser) in vitro. Trm44 is conserved among metazoans and fungi, consistent with the conservation of Um(44) in eukaryotic tRNAs, but surprisingly, Trm44 is not found in plants. Although trm44-delta mutants have no detectable growth defect, TRM44 is required for survival at 33 degrees C in a tan1-delta mutant strain, which lacks ac(4)C12 in tRNA(Ser) and tRNA(Leu). At nonpermissive temperature, a trm44-delta tan1-delta mutant strain has reduced levels of tRNA(Ser(CGA)) and tRNA(Ser(UGA)), but not other tRNA(Ser) or tRNA(Leu) species. The trm44-delta tan1-delta growth defect is suppressed by addition of multiple copies of tRNA(Ser(CGA)) and tRNA(Ser(UGA)), directly implicating these tRNA(Ser) species in this phenotype. The reduction of specific tRNA(Ser) species in a trm44-delta tan1-delta mutant underscores the importance of tRNA modifications in sustaining tRNA levels and further emphasizes that tRNAs undergo quality control.

Nop9 is an RNA binding protein present in pre-40S ribosomes and required for 18S rRNA synthesis in yeast.

Proteomic analyses in yeast have identified a large number of proteins that are associated with preribosomal particles. However, the product of the yeast ORF YJL010C, herein designated as Nop9, failed to be identified in any previous physical or genetic analysis of preribosomes. Here we report that Nop9 is a nucleolar protein, which is associated with 90S and 40S preribosomes. In cells depleted of Nop9p, early cleavages of the 35S pre-rRNA are inhibited, resulting in the nucleolar retention of accumulated precursors and a failure to synthesize 18S rRNA. Nop9 contains multiple pumilio-like putative RNA binding repeats and displays robust in vitro RNA binding activity. The identification of Nop9p as a novel, essential factor in the nuclear maturation of 90S and pre-40S ribosomal subunits shows that the complement of ribosome synthesis factors remains incomplete.

Universal external RNA controls for microbial gene expression analysis using microarray and qRT-PCR

Gene expression analysis provides significant insight to understand regulatory mechanisms of biology, yet acquisition and reproduction of quality data, as well as data confirmation and verification remain challenging due to a lack of proper quality controls across different assay platforms. We present a set of six universal external RNA quality controls for microbial mRNA expression analysis that can be applied to both DNA oligo microarray and real-time qRT-PCR including using SYBR Green and TaqMan probe-based chemistry. This set of controls was applied for Saccharomyces cerevisiae and Pseudomonas fluorescens Pf-5 microarray assays and qRT-PCR for yeast gene expression analysis. Highly fitted linear relationships between detected signal intensity and mRNA input were described. Valid mRNA detection range, from 10 to 7000 pg and from 100 fg to 1000 pg were defined for microarray and qRT-PCR assay, respectively. Quantitative estimation of mRNA abundance was tested using randomly selected yeast ORF including function unknown genes using the same source of samples by the two assay platforms. Estimates of mRNA abundance by the two methods were similar and highly correlated in an overlapping detection range from 10 to 1000 pg. The universal external RNA controls provide a means to compare microbial gene expression data derived from different experiments and different platforms for verification and confirmation. Such quality controls ensure reliability and reproducibility of gene expression data, and provide unbiased normalization reference for validation, quantification, and estimate of variation of gene expression experiments. Application of these controls also improves efficiency and facilitates high throughput applications of gene expression analysis using the qRT-PCR assay.

Identification of functional, endogenous programmed −1 ribosomal frameshift signals in the genome of Saccharomyces cerevisiae

In viruses, programmed −1 ribosomal frameshifting (−1 PRF) signals direct the translation of alternative proteins from a single mRNA. Given that many basic regulatory mechanisms were first discovered in viral systems, the current study endeavored to: (i) identify −1 PRF signals in genomic databases, (ii) apply the protocol to the yeast genome and (iii) test selected candidates at the bench. Computational analyses revealed the presence of 10 340 consensus −1 PRF signals in the yeast genome. Of the 6353 yeast ORFs, 1275 contain at least one strong and statistically significant −1 PRF signal. Eight out of nine selected sequences promoted efficient levels of PRF in vivo. These findings provide a robust platform for high throughput computational and laboratory studies and demonstrate that functional −1 PRF signals are widespread in the genome of Saccharomyces cerevisiae. The data generated by this study have been deposited into a publicly available database called the PRFdb. The presence of stable mRNA pseudoknot structures in these −1 PRF signals, and the observation that the predicted outcomes of nearly all of these genomic frameshift signals would direct ribosomes to premature termination codons, suggest two possible mRNA destabilization pathways through which −1 PRF signals could post-transcriptionally regulate mRNA abundance.

HB tag modules for PCR‐based gene tagging and tandem affinity purification in Saccharomyces cerevisiae

We have recently developed the HB tag as a useful tool for tandem-affinity purification under native as well as fully denaturing conditions. The HB tag and its derivatives consist of a hexahistidine tag and a bacterially-derived in vivo biotinylation signal peptide, which support sequential purification by Ni2+ -chelate chromatography and binding to immobilized streptavidin. To facilitate tagging of budding yeast proteins with HB tags, we have created a series of plasmids with various selectable markers. These plasmids allow single-step PCR-based tagging and expression under control of the endogenous promoters or the inducible GAL1 promoter. HB tagging of several budding yeast ORFs demonstrated efficient biotinylation of the HB tag in vivo by endogenous yeast biotin ligases. No adverse effects of the HB tag on protein function were observed. The HB tagging plasmids presented here are related to previously reported epitope-tagging plasmids, allowing PCR-based tagging with the same locus-specific primer sets that are used for other widely used epitope-tagging strategies. The Sequences for the described plasmids were submitted to GenBank under Accession Numbers DQ407918-pFA6a-HBH-kanMX6 DQ407927-pFA6a-RGS18H-kanMX6 DQ407919-pFA6a-HBH-hphMX4 DQ407928-pFA6a-RGS18H-hphMX4 DQ407920-pFA6a-HBH-TRP1 DQ407929-pFA6a-RGS18H-TRP1 DQ407921-pFA6a-HTB-kanMX6 DQ407930-pFA6a-kanMX6-PGAL1-HBH DQ407922-pFA6a-HTB-hphMX4 DQ407931-pFA6a-TRP1-PGAL1-HBH DQ407923-pFA6a-HTB-TRP1 DQ407924-pFA6a-BIO-kanMX6 DQ407925-pFA6a-BIO-hphMX4 DQ407926-pFA6a-BIO-TRP1.

Annotation of unknown yeast ORFs by correlation analysis of microarray data and extensive literature searches

Changes in the expression of genes were used to elucidate the metabolic pathways and regulatory mechanisms that respond to environmental or genetic modifications. Results from previously published chemostat datasets were merged with novel data generated in the present study. ORFs displaying significant changes in expression that correlated with those of other ORFs were analysed using GO mapping tools and supplemented by literature information. The strategy developed was used to propose annotations for ORFs of unknown function. The following ORFs were assigned functions as a result of this study: YMR090w, YGL157w, YGR243w, YLR327c, YER121w, YFR017c, YGR067c, YKL187c, YGR236c (SPG1), YMR107w (SPG4), YMR206w, YER067w, YJL103c, YNL175C (NOP13) YJL200C, YDL070C (FMP16) and YGR173W.

A Mammalian Organelle Map by Protein Correlation Profiling

Protein localization to membrane-enclosed organelles is a central feature of cellular organization. Using protein correlation profiling, we have mapped 1,404 proteins to ten subcellular locations in mouse liver, and these correspond with enzymatic assays, marker protein profiles, and confocal microscopy. These localizations allowed assessment of the specificity in published organellar proteomic inventories and demonstrate multiple locations for 39% of all organellar proteins. Integration of proteomic and genomic data enabled us to identify networks of coexpressed genes, cis-regulatory motifs, and putative transcriptional regulators involved in organelle biogenesis. Our analysis ties biochemistry, cell biology, and genomics into a common framework for organelle analysis.