Phenotypic effects of membrane protein overexpression in Saccharomyces cerevisiae

Highly complete long-read genomes reveal pangenomic variation underlying yeast phenotypic diversity

Understanding the genetic causes of trait variation is a primary goal of genetic research. One way that individuals can vary genetically is through variable pangenomic genes: genes that are only present in some individuals in a population. The presence or absence of entire genes could have large effects on trait variation. However, variable pangenomic genes can be missed in standard genotyping workflows, owing to reliance on aligning short-read sequencing to reference genomes. A popular method for studying the genetic basis of trait variation is linkage mapping, which identifies quantitative trait loci (QTLs), regions of the genome that harbor causative genetic variants. Large-scale linkage mapping in the budding yeast Saccharomyces cerevisiae has found thousands of QTLs affecting myriad yeast phenotypes. To enable the resolution of QTLs caused by variable pangenomic genes, we used long-read sequencing to generate highly complete de novo genome assemblies of 16 diverse yeast isolates. With these assemblies, we resolved QTLs for growth on maltose, sucrose, raffinose, and oxidative stress to specific genes that are absent from the reference genome but present in the broader yeast population at appreciable frequency. Copies of genes also duplicate onto chromosomes where they are absent in the reference genome, and we found that these copies generate additional QTLs whose resolution requires pangenome characterization. Our findings show the need for highly complete genome assemblies to identify the genetic basis of trait variation.

A modular cloning (MoClo) toolkit for reliable intracellular protein targeting in the yeast Saccharomyces cerevisiae

Modular Cloning (MoClo) allows the combinatorial assembly of plasmids from standardized genetic parts without the need of error-prone PCR reactions. It is a very powerful strategy which enables highly flexible expression patterns without the need of repetitive cloning procedures. In this study, we describe an advanced MoClo toolkit that is designed for the baker's yeast Saccharomyces cerevisiae and optimized for the targeting of proteins of interest to specific cellular compartments. Comparing different targeting sequences, we developed signals to direct proteins with high specificity to the different mitochondrial subcompartments, such as the matrix and the intermembrane space (IMS). Furthermore, we optimized the subcellular targeting by controlling expression levels using a collection of different promoter cassettes; the MoClo strategy allows it to generate arrays of expression plasmids in parallel to optimize gene expression levels and reliable targeting for each given protein and cellular compartment. Thus, the MoClo strategy enables the generation of protein-expressing yeast plasmids that accurately target proteins of interest to various cellular compartments.

Expression level of Sec62 modulates membrane insertion of marginally hydrophobic segments

In the endoplasmic reticulum (ER) membrane, transmembrane (TM) domain insertion occurs through the Sec61 channel with its auxiliary components, including Sec62. Sec62 interacts with the Sec61 channel and is located on the front side of the Sec61 lateral gate, an entry site for TM domains to the lipid bilayer. Overexpression of Sec62 led to a growth defect in yeast, and we investigated its effects on protein translocation and membrane insertion by pulse labeling of Sec62 client proteins. Our data show that the insertion efficiency of marginally hydrophobic TM segments is reduced upon Sec62 overexpression. This result suggests a potential regulatory role of Sec62 as a gatekeeper of the lateral gate, thereby modulating the insertion threshold of TM segments.

Engineering Yeast for De Novo Synthesis of the Insect Repellent Nepetalactone

While nepetalactone, the active ingredient in catnip, is a potent insect repellent, its low in planta accumulation limits its commercial viability as an alternative repellent. Here we describe for the first time de novo nepetalactone synthesis in Saccharomyces cerevisiae, enabling sustainable and scalable production. Nepetalactone production required introducing eight exogenous genes including the cytochrome P450 geraniol-8-hydroxylase, the bottleneck of the heterologous pathway. Combinatorial assessment of geraniol-8-hydroxylase and cytochrome P450 reductase variants, and copy-number variations were used to overcome this bottleneck. We found that several reductases improved hydroxylation activity and increasing geraniol-8-hydroxylase gene copy number improved 8-hydroxygeraniol titers. The accumulation of an unwanted metabolite implied inefficient channeling of carbon through the pathway. With the native yeast old yellow enzymes previously shown to use monoterpene intermediates as substrates, both homologues were deleted. These deletions increased 8-hydroxygeraniol yield, resulting in 3.10 mg/L/OD₆₀₀ of nepetalactone from simple sugar in microtiter plates. This optimized pathway will benefit the development of high yielding strains for the scale up production of nepetalactone.

Growth Inhibition by Amino Acids in Saccharomyces cerevisiae

Amino acids are essential metabolites but can also be toxic when present at high levels intracellularly. Substrate-induced downregulation of amino acid transporters in Saccharomyces cerevisiae is thought to be a mechanism to avoid this toxicity. It has been shown that unregulated uptake by the general amino acid permease Gap1 causes cells to become sensitive to amino acids. Here, we show that overexpression of eight other amino acid transporters (Agp1, Bap2, Can1, Dip5, Gnp1, Lyp1, Put4, or Tat2) also induces a growth defect when specific single amino acids are present at concentrations of 0.5-5 mM. We can now state that all proteinogenic amino acids, as well as the important metabolite ornithine, are growth inhibitory to S. cerevisiae when transported into the cell at high enough levels. Measurements of initial transport rates and cytosolic pH show that toxicity is due to amino acid accumulation and not to the influx of co-transported protons. The amino acid sensitivity phenotype is a useful tool that reports on the in vivo activity of transporters and has allowed us to identify new transporter-specific substrates.

Expression of Leptospira membrane proteins Signal Peptidase (SP) and Leptospira Endostatin like A (Len A) in BL-21(DE3) is toxic to the host cells

Heterologous expression of Integral Membrane Proteins (IMPs) is reported to be toxic to the host system in many studies. Even though there are reports on various concerns like transformation efficiency, growth properties, protein toxicity, inefficient expression and protein degradation in IMP overexpression, no studies so far addressed these issues in a comprehensive way. In the present study, two transmembrane proteins of the pathogen Leptospira interrogans, namely Signal peptidase (SP), and Leptospira Endostatin like A (Len-A) were taken along with a cytosolic protein Hydrolase (HYD) to assess the differences in transformation efficiency, protein toxicity, and protein stability when over expressed in Escherichia coli (E. coli). Bioinformatics analysis to predict the transmembrane localization indicated that both SP and Len are targeted to the membrane. The three proteins were expressed in full length in the E. coli expression strain, BL 21 (DE3). Significant changes were observed for the strains transformed with IMP genes under the parameters analysed such as, the transformation efficiency, survival of colonies on IPTG-plate, culture growth kinetics and protein expression compared to the strain harbouring the cytosolic protein gene.

Evaluating the fitness cost of protein expression in Saccharomyces cerevisiae

Protein metabolism is one of the most costly processes in the cell and is therefore expected to be under the effective control of natural selection. We stimulated yeast strains to overexpress each single gene product to approximately 1% of the total protein content. Consistent with previous reports, we found that excessive expression of proteins containing disordered or membrane-protruding regions resulted in an especially high fitness cost. We estimated these costs to be nearly twice as high as for other proteins. There was a ten-fold difference in cost if, instead of entire proteins, only the disordered or membrane-embedded regions were compared with other segments. Although the cost of processing bulk protein was measurable, it could not be explained by several tested protein features, including those linked to translational efficiency or intensity of physical interactions after maturation. It most likely included a number of individually indiscernible effects arising during protein synthesis, maturation, maintenance, (mal)functioning, and disposal. When scaled to the levels normally achieved by proteins in the cell, the fitness cost of dealing with one amino acid in a standard protein appears to be generally very low. Many single amino acid additions or deletions are likely to be neutral even if the effective population size is as large as that of the budding yeast. This should also apply to substitutions. Selection is much more likely to operate if point mutations affect protein structure by, for example, extending or creating stretches that tend to unfold or interact improperly with membranes.

Towards improved membrane protein production in Pichia pastoris: general and specific transcriptional response to membrane protein overexpression

Membrane proteins are the largest group of human drug targets and are also used as biocatalysts. However, due to their complexity, efficient expression remains a bottleneck for high level production. In recent years, the methylotrophic yeast Pichia pastoris has emerged as one of the most commonly used expression systems for membrane protein production. Here, we have analysed the transcriptomes of P. pastoris strains producing different classes of membrane proteins (mitochondrial, ER/Golgi and plasma membrane localized) to understand the cellular response and to identify targets to engineer P. pastoris towards an improved chassis for membrane protein production. Microarray experiments revealed varying transcriptional responses depending on the enzymatic activity, subcellular localization and physiological role of the membrane proteins. While an alternative oxidase evoked primarily a response within the mitochondria, the overexpression of transporters entering the secretory pathway had a wide effect on lipid metabolism and induced the upregulation of the UPR (unfolded protein response) transcription factor Hac1p. Coexpression of P. pastoris endogenous HAC1 increased the levels of ER-resident membrane proteins 1.5- to 2.1-fold. Subsequent transcriptome analysis of HAC1 coexpression revealed an upregulation of the folding machinery correlating with an expansion of the ER membrane capacity, thus boosting membrane protein production. Hence, our study has helped to elucidate the cellular response of P. pastoris to the expression of different classes of membrane proteins and led specifically to new insights into the effect of PpHac1p on membrane proteins entering the secretory pathway.

Dynamically reshaping signaling networks to program cell fate via genetic controllers

Engineering of cell fate through synthetic gene circuits requires methods to precisely implement control around native decision-making pathways and offers the potential to direct cell processes. We demonstrate a class of genetic control systems, molecular network diverters, that interface with a native signaling pathway to route cells to divergent fates in response to environmental signals without modification of native genetic material. A method for identifying control points within natural networks is described that enables the construction of synthetic control systems that activate or attenuate native pathways to direct cell fate. We integrate opposing genetic programs by developing network architectures for reduced antagonism and demonstrate rational tuning of performance. Extension of these control strategies to mammalian systems should facilitate the engineering of complex cellular signaling systems.

Manipulating the genetic code for membrane protein production: what have we learnt so far?

With synthetic gene services, molecular cloning is as easy as ordering a pizza. However choosing the right RNA code for efficient protein production is less straightforward, more akin to deciding on the pizza toppings. The possibility to choose synonymous codons in the gene sequence has ignited a discussion that dates back 50 years: Does synonymous codon use matter? Recent studies indicate that replacement of particular codons for synonymous codons can improve expression in homologous or heterologous hosts, however it is not always successful. Furthermore it is increasingly apparent that membrane protein biogenesis can be codon-sensitive. Single synonymous codon substitutions can influence mRNA stability, mRNA structure, translational initiation, translational elongation and even protein folding. Synonymous codon substitutions therefore need to be carefully evaluated when membrane proteins are engineered for higher production levels and further studies are needed to fully understand how to select the codons that are optimal for higher production. This article is part of a Special Issue entitled: Protein Folding in Membranes.

Comprehensive phenotypic analysis of single-gene deletion and overexpression strains of Saccharomyces cerevisiae

We quantified the growth behaviour of all available single-gene deletion and overexpression strains of budding yeast. Genome-wide analyses enabled the extraction of the genes and identification of the functional categories for which genetic perturbation caused the change of growth behaviour. Statistical analyses revealed defective growth for 646 deletion and 1302 overexpression strains. We classified these deleted and overexpressed genes into known functional categories, and identified several functional categories having fragility and robustness for cellular growth. We also screened the deletion and overexpression strains that exhibited a significantly higher growth rate than the strain without genetic perturbation, and found that three deletion and two overexpression strains were high-growth strains. The genes and functional categories identified in the analysis might provide useful information on designing industrially useful yeast strains.

Measuring growth rate in high-throughput growth phenotyping

Growth rate is an important variable and parameter in biology with a central role in evolutionary, functional genomics, and systems biology studies. In this review the pros and cons of the different technologies presently available for high-throughput measurements of growth rate are discussed. Growth rate can be measured in liquid microcultivation of individual strains, in competition between strains, as growing colonies on agar, as division of individual cells, and estimated from molecular reporters. Irrespective of methodology, statistical issues such as spatial biases and batch effects are crucial to investigate and correct for to ensure low false discovery rates. The rather low correlations between studies indicate that cross-laboratory comparison and standardization are pressing issue to assure high-quality and comparable growth-rate data.

Purification of transmembrane proteins from Saccharomyces cerevisiae for X-ray crystallography

To enhance the quantity and quality of eukaryotic transmembrane proteins (TMPs) available for structure determination by X-ray crystallography, we have optimized protocols for purification of TMPs expressed in the yeast Saccharomyces cerevisiae. We focused on a set of the highest-expressing endogenous yeast TMPs for which there are established biochemical assays. Genes encoding the target TMPs are transferred via ligation-independent cloning to a series of vectors that allow expression of reading frames fused to C-terminal His10 and ZZ (IgG-binding) domains that are separated from the reading frame by a cleavage site for rhinovirus 3C protease. Several TMP targets expressed from these vectors have been purified via affinity chromatography and gel filtration chromatography at levels and purities sufficient for ongoing crystallization trials. Initial purifications were based on expression of the genes under control of a galactose-inducible promoter, but higher cell densities and improved expression have been obtained through use of the yeast ADH2 promoter. Wide variations have been observed in the behavior of different TMP targets during purification; some can be readily purified, while others do not bind efficiently to affinity matrices, are not efficiently cleaved from the matrices, or remain tightly associated with the matrices even after cleavage of the affinity tags. The size, oligomeric state, and composition of purified protein-detergent complexes purified under different conditions were analyzed using a colorimetric assay of detergent concentrations and by analytical size-exclusion chromatography using static light scattering, refractive index, and UV absorption detection to monitor the elution profiles. Effective procedures were developed for obtaining high concentrations of purified TMPs without excessively concentrating detergents.

Tuning microbial hosts for membrane protein production

The last four years have brought exciting progress in membrane protein research. Finally those many efforts that have been put into expression of eukaryotic membrane proteins are coming to fruition and enable to solve an ever-growing number of high resolution structures. In the past, many skilful optimization steps were required to achieve sufficient expression of functional membrane proteins. Optimization was performed individually for every membrane protein, but provided insight about commonly encountered bottlenecks and, more importantly, general guidelines how to alleviate cellular limitations during microbial membrane protein expression. Lately, system-wide analyses are emerging as powerful means to decipher cellular bottlenecks during heterologous protein production and their use in microbial membrane protein expression has grown in popularity during the past months.

This review covers the most prominent solutions and pitfalls in expression of eukaryotic membrane proteins using microbial hosts (prokaryotes, yeasts), highlights skilful applications of our basic understanding to improve membrane protein production. Omics technologies provide new concepts to engineer microbial hosts for membrane protein production.

Selecting optimum eukaryotic integral membrane proteins for structure determination by rapid expression and solubilization screening

A medium-throughput approach is used to rapidly identify membrane proteins from a eukaryotic organism that are most amenable to expression in amounts and quality adequate to support structure determination. The goal was to expand knowledge of new membrane protein structures based on proteome-wide coverage. In the first phase, membrane proteins from the budding yeast Saccharomyces cerevisiae were selected for homologous expression in S. cerevisiae, a system that can be adapted to expression of membrane proteins from other eukaryotes. We performed medium-scale expression and solubilization tests on 351 rationally selected membrane proteins from S. cerevisiae. These targets are inclusive of all annotated and unannotated membrane protein families within the organism's membrane proteome. Two hundred seventy-two targets were expressed, and of these, 234 solubilized in the detergent n-dodecyl-beta-D-maltopyranoside. Furthermore, we report the identity of a subset of targets that were purified to homogeneity to facilitate structure determinations. The extensibility of this approach is demonstrated with the expression of 10 human integral membrane proteins from the solute carrier superfamily. This discovery-oriented pipeline provides an efficient way to select proteins from particular membrane protein classes, families, or organisms that may be more suited to structure analysis than others.

Molecular code for protein insertion in the endoplasmic reticulum membrane is similar for N(in)-C(out) and N(out)-C(in) transmembrane helices

Transmembrane alpha-helices in integral membrane proteins can have two orientations in the membrane: N(in)-C(out) or N(out)-C(in). Previous studies of model N(out)-C(in) transmembrane segment have led to a detailed, quantitative picture of the "molecular code" that relates amino acid sequence to membrane insertion efficiency in vivo [Hessa T, et al. (2007) Molecular code for transmembrane helix recognition by the Sec61 translocon. Nature 450:1026-1030], but whether the same code applies also to N(in)-C(out) transmembrane helices is unknown. Here, we show that the contributions of individual amino acids to the overall efficiency of membrane insertion are similar for the two kinds of helices and that the threshold hydrophobicity for membrane insertion can be up to approximately 1 kcal/mol lower for N(in)-C(out) compared with N(out)-C(in) transmembrane helices, depending on the neighboring helices.

Legionella eukaryotic-like type IV substrates interfere with organelle trafficking

Legionella pneumophila, the causative agent of Legionnaires' disease, evades phago-lysosome fusion in mammalian and protozoan hosts to create a suitable niche for intracellular replication. To modulate vesicle trafficking pathways, L. pneumophila translocates effector proteins into eukaryotic cells through a Type IVB macro-molecular transport system called the Icm-Dot system. In this study, we employed a fluorescence-based translocation assay to show that 33 previously identified Legionella eukaryotic-like genes (leg) encode substrates of the Icm-Dot secretion system. To assess which of these proteins may contribute to the disruption of vesicle trafficking, we expressed each gene in yeast and looked for phenotypes related to vacuolar protein sorting. We found that LegC3-GFP and LegC7/YlfA-GFP caused the mis-secretion of CPY-Invertase, a fusion protein normally restricted to the yeast vacuole. We also found that LegC7/YlfA-GFP and its paralog LegC2/YlfB-GFP formed large structures around the yeast vacuole while LegC3-GFP localized to the plasma membrane and a fragmented vacuole. In mammalian cells, LegC2/YlfB-GFP and LegC7/YlfA-GFP were found within large structures that co-localized with anti-KDEL antibodies but excluded the lysosomal marker LAMP-1, similar to what is observed in Legionella-containing vacuoles. LegC3-GFP, in contrast, was observed as smaller structures which had no obvious co-localization with KDEL or LAMP-1. Finally, LegC3-GFP caused the accumulation of many endosome-like structures containing undigested material when expressed in the protozoan host Dictyostelium discoideum. Our results demonstrate that multiple Leg proteins are Icm/Dot-dependent substrates and that LegC3, LegC7/YlfA, and LegC2/YlfB may contribute to the intracellular trafficking of L. pneumophila by interfering with highly conserved pathways that modulate vesicle maturation.

Functional importance of individual rRNA 2'-O-ribose methylations revealed by high-resolution phenotyping

Ribosomal RNAs contain numerous modifications at specific nucleotides. Despite their evolutionary conservation, the functional role of individual 2'-O-ribose methylations in rRNA is not known. A distinct family of small nucleolar RNAs, box C/D snoRNAs, guides the methylating complex to specific rRNA sites. Using a high-resolution phenotyping approach, we characterized 20 box C/D snoRNA gene deletions for altered growth dynamics under a wide array of environmental perturbations, encompassing intraribosomal antibiotics, inhibitors of specific cellular features, as well as general stressors. Ribosome-specific antibiotics generated phenotypes indicating different and long-ranging structural effects of rRNA methylations on the ribosome. For all studied box C/D snoRNA mutants we uncovered phenotypes to extraribosomal growth inhibitors, most frequently reflected in alteration in growth lag (adaptation time). A number of strains were highly pleiotropic and displayed a great number of sensitive phenotypes, e.g., deletion mutants of snR70 and snR71, which both have clear human homologues, and deletion mutants of snR65 and snR68. Our data indicate that individual rRNA ribose methylations can play either distinct or general roles in the workings of the ribosome.

The sodium pump Ena1p provides mechanistic insight into the salt sensitivity of vacuolar protein sorting mutants

The vacuolar/endosomal network has an important but as yet undefined role in the cellular tolerance to salt stress. We hypothesized that the mechanistic basis for the importance of vacuolar protein sorting (vps) components in salt tolerance is the targeting of the crucial sodium exporter Ena1p to the plasma membrane. The link between Ena1p and the vps components was established by the observation that overexpression of Ena1p could suppress the salt sensitivity of the ESCRT knockouts vps20Delta, snf7/vps32Delta and snf8/vps22Delta. To further investigate this functional interaction, fluorescence microscopy was utilized to monitor localization of GFP-tagged Ena1p. For all analyzed vps mutants, Ena1p seemed properly localized to the plasma membrane, even during saline growth. However, quantitative differences in plasma membrane localized Ena1p were recorded; e.g. the highly salt sensitive pep12Delta mutant exhibited substantially enhanced Ena1p levels. In addition, the kinetics of Ena1p localization to the plasma membrane was severely delayed in several vps mutants, and this delay correlated to the salt specific growth defect. This paper discusses potential mechanistic hypotheses, like Ena1p transporter activity or localization kinetics, or ESCRT component's influence on signaling, for linking endosomal sorting functions to cellular salt sensitivity.

High-throughput fluorescent-based optimization of eukaryotic membrane protein overexpression and purification in Saccharomyces cerevisiae

Eukaryotic membrane proteins are often difficult to produce in large quantities, which is a significant obstacle for further structural and biochemical investigation. Based on the analysis of 43 eukaryotic membrane proteins, we present a cost-effective high-throughput approach for rapidly screening membrane proteins that can be overproduced to levels of >1 mg per liter in Saccharomyces cerevisiae. We find that 70% of the well expressed membrane proteins tested in this system are stable, targeted to the correct organelle, and monodisperse in either Fos-choline 12 (FC-12) or n-dodecyl-beta-D-maltoside. We illustrate the advantage of such an approach, with the purification of monodisperse human and yeast nucleotide-sugar transporters to unprecedented levels. We estimate that our approach should be able to provide milligram quantities for at least one-quarter of all membrane proteins from both yeast and higher eukaryotic organisms.

Characterization of three classes of membrane proteins involved in fungal azole resistance by functional hyperexpression in Saccharomyces cerevisiae

The study of eukaryotic membrane proteins has been hampered by a paucity of systems that achieve consistent high-level functional protein expression. We report the use of a modified membrane protein hyperexpression system to characterize three classes of fungal membrane proteins (ABC transporters Pdr5p, CaCdr1p, CaCdr2p, CgCdr1p, CgPdh1p, CkAbc1p, and CneMdr1p, the major facilitator superfamily transporter CaMdr1p, and the cytochrome P450 enzyme CaErg11p) that contribute to the drug resistance phenotypes of five pathogenic fungi and to express human P glycoprotein (HsAbcb1p). The hyperexpression system consists of a set of plasmids that direct the stable integration of a single copy of the expression cassette at the chromosomal PDR5 locus of a modified host Saccharomyces cerevisiae strain, ADDelta. Overexpression of heterologous proteins at levels of up to 29% of plasma membrane protein was achieved. Membrane proteins were expressed with or without green fluorescent protein (GFP), monomeric red fluorescent protein, His, FLAG/His, Cys, or His/Cys tags. Most GFP-tagged proteins tested were correctly trafficked within the cell, and His-tagged proteins could be affinity purified. Kinetic analysis of ABC transporters indicated that the apparent K(m) value and the V(max) value of ATPase activities were not significantly affected by the addition of His tags. The efflux properties of seven fungal drug pumps were characterized by their substrate specificities and their unique patterns of inhibition by eight xenobiotics that chemosensitized S. cerevisiae strains overexpressing ABC drug pumps to fluconazole. The modified hyperexpression system has wide application for the study of eukaryotic membrane proteins and could also be used in the pharmaceutical industry for drug screening.

Characteristics affecting expression and solubilization of yeast membrane proteins

Biochemical and structural analysis of membrane proteins often critically depends on the ability to overexpress and solubilize them. To identify properties of eukaryotic membrane proteins that may be predictive of successful overexpression, we analyzed expression levels of the genomic complement of over 1000 predicted membrane proteins in a recently completed Saccharomyces cerevisiae protein expression library. We detected statistically significant positive and negative correlations between high membrane protein expression and protein properties such as size, overall hydrophobicity, number of transmembrane helices, and amino acid composition of transmembrane segments. Although expression levels of membrane and soluble proteins exhibited similar negative correlations with overall hydrophobicity, high-level membrane protein expression was positively correlated with the hydrophobicity of predicted transmembrane segments. To further characterize yeast membrane proteins as potential targets for structure determination, we tested the solubility of 122 of the highest expressed yeast membrane proteins in six commonly used detergents. Almost all the proteins tested could be solubilized using a small number of detergents. Solubility in some detergents depended on protein size, number of transmembrane segments, and hydrophobicity of predicted transmembrane segments. These results suggest that bioinformatic approaches may be capable of identifying membrane proteins that are most amenable to overexpression and detergent solubilization for structural and biochemical analyses. Bioinformatic approaches could also be used in the redesign of proteins that are not intrinsically well-adapted to such studies.

PROPHECY--a yeast phenome database, update 2006

Connecting genotype to phenotype is fundamental in biomedical research and in our understanding of disease. Phenomics—the large-scale quantitative phenotypic analysis of genotypes on a genome-wide scale—connects automated data generation with the development of novel tools for phenotype data integration, mining and visualization. Our yeast phenomics database PROPHECY is available at . Via phenotyping of 984 heterozygous diploids for all essential genes the genotypes analysed and presented in PROPHECY have been extended and now include all genes in the yeast genome. Further, phenotypic data from gene overexpression of 574 membrane spanning proteins has recently been included. To facilitate the interpretation of quantitative phenotypic data we have developed a new phenotype display option, the Comparative Growth Curve Display, where growth curve differences for a large number of mutants compared with the wild type are easily revealed. In addition, PROPHECY now offers a more informative and intuitive first-sight display of its phenotypic data via its new summary page. We have also extended the arsenal of data analysis tools to include dynamic visualization of phenotypes along individual chromosomes. PROPHECY is an initiative to enhance the growing field of phenome bioinformatics.

High-throughput and sensitive assay to measure yeast cell growth: a bench protocol for testing genotoxic agents

Intracellular metabolites and environmental agents continuously challenge the structural integrity of DNA. In the yeast Saccharomyces cerevisiae, the complete collection of open reading frame deletion mutants, in combination with powerful screening methods, allows for the comprehensive analyses of cellular responses to insult. We have developed a protocol to determine the sensitivity of growing yeast to DNA-damaging agents that is based on automatic measurements of the optical density of very small (100 microl) liquid cultures. This simple method is highly sensitive, provides quantifiable data and offers high-throughput screening capability. Starting with the treatment of cells with different doses of damaging agents, pre-prepared growing media containing 96-well plates are inoculated and cell population is automatically monitored every 10 min for 48 hours. With the aid of a multi-channel pipette, the sensitivity of a number of yeast strains to several concentrations of drug can be tested in triplicate in less then 4 hours.

A global topology map of the Saccharomyces cerevisiae membrane proteome

The yeast Saccharomyces cerevisiae is, arguably, the best understood eukaryotic model organism, yet comparatively little is known about its membrane proteome. Here, we report the cloning and expression of 617 S. cerevisiae membrane proteins as fusions to a C-terminal topology reporter and present experimentally constrained topology models for 546 proteins. By homology, the experimental topology information can be extended to approximately 15,000 membrane proteins from 38 fully sequenced eukaryotic genomes.