Dosage Suppression Genetic Interaction Networks
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
SUBMITTER: Lawrence Heisler
PROVIDER: E-TABM-1147 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Copper is an essential component of cytochrome C oxidase (i.e. complex IV of the electron transport chain), and is thus critical for the survival of aerobic organisms. If copper is not properly regulated in the body however, it can be extremely cytotoxic and genetic mutations that compromise copper homeostasis result in severe clinical phenotypes. Understanding how cells maintain optimal copper levels is therefore highly relevant to human health. We found that addition of copper to culture medium leads to increased respiratory growth of yeast, a phenotype which we then systematically and quantitatively measured in 5050 homozygous diploid deletion strains using microarrays. In the yeast homozygous gene deletion collection, both copies of every non-essential gene are deleted in a diploid strain. Each strain contains unique 20-bp M-bM-^@M-^\barcodeM-bM-^@M-^] sequences flanked by common priming sites, allowing the relative abundance of individual strains to be quantitatively monitored within a pool of competitively-grown strains. To identify genes that are important for Cu-dependent respiratory growth, we measured the fitness of 5050 homozygous deletion strains in parallel in rich media (i.e. Yeast Extract, Peptone) using either dextrose, ethanol, glycerol, or lactate as a carbon source, in the presence or absence of 500 M-BM-5M CuSO4 for 9 generations. Each condition was tested in triplicate. Please note that there is a large percentage of null-values (i.e. Not Available) in the respiration deficient-pool samples because the respiration deficient pool consists of only a small subset of the complete pool (represented by 331 barcodes instead of 9937). For our analysis we discarded the remaining barcodes by assigning the null-value to them.
2013-05-23 | E-GEOD-47175 | biostudies-arrayexpress
Project description:Benzene is a ubiquitous environmental contaminant and is widely used in industry. Exposure to benzene causes a number of serious health problems, including blood disorders and leukemia. Benzene undergoes complex metabolism in humans, making mechanistic determination of benzene toxicity difficult. We used a functional genomics approach to identify the genes that modulate the cellular toxicity of three of the phenolic metabolites of benzene, hydroquinone (HQ), catechol (CAT) and 1,2,4-benzenetriol (BT), in the model eukaryote Saccharomyces cerevisiae. Benzene metabolites generate oxidative and cytoskeletal stress, and tolerance requires correct regulation of iron homeostasis and the vacuolar ATPase. We have identified a conserved bZIP transcription factor, Yap3p, as important for a HQ-specific response pathway, as well as two genes that encode putative NAD(P)H:quinone oxidoreductases, PST2 and YCP4. Many of the yeast genes identified have human orthologs that may modulate human benzene toxicity in a similar manner and could play a role in benzene exposure-related disease. Genome-Wide Functional Profiling Reveals Genes Required for Tolerance to Benzene Metabolites in Yeast. PLoS ONE 2011, 6(8):e24205 - PMID: 21912624. Pools of homozygous diploid deletion mutants (n = 4,607 strains) were grown in rich media (YPD) at 3 concentrations of hydroquinone (HQ), catechol (CAT) and 1,2,4-benzenetriol (BT) for 5 and 15 generations (5g, 15g). Each strain has a deletion in a different gene. In each strain, the gene was replaced by a deletion cassette containing a antibiotic resistance gene and two BARCODES, up and down tags (Please see Giaever et al, 2002, Nature). These tags in the DNA are specific to each strain. We pool all deletion strains and grow them under a selective condition; extract DNA; amplify barcodes using universal primers and hybridize to arrays containing complemetary sequences to the up and down tags. In this way, we can look at growth of each of the strains. Our strategy is to analyze separately the up and down tags. Therefore, for each array (CEL file), we generate two data files, one for all ups and another one for all downs. In these files, the list of genes are the same but the data come from different set of probes, up or down. The values are log2 averages of replicate probes for the same tag. These pre processed files were used to identify strains with differential growth in benzene metabolites by comparing to the control arrays.
2013-03-13 | E-GEOD-45116 | biostudies-arrayexpress
Project description:Zinc is an essential nutrient because it is a required cofactor for many enzymes and transcription factors. To discover genes and processes in yeast that are required for growth when zinc is limiting, we used genome-wide functional profiling. As a result, we identified over 400 different genes required for optimal growth under zinc-limiting conditions. Among these were several targets of the Zap1 zinc-responsive transcription factor. Their importance is consistent with their up-regulation by Zap1 in low zinc. We also identified genes that implicate Zap1-independent processes as important. These include endoplasmic reticulum function, oxidative stress resistance, vesicular trafficking, peroxisome biogenesis, and chromatin modification. Our studies also indicated the critical role of macroautophagy in low zinc growth. Finally, as a result of our analysis, we discovered a previously unknown role for the ICE2 gene in maintaining ER zinc homeostasis. Pools of homozygous diploid deletion mutants (n = 4,607 strains) were grown in zinc defined media (LZM) at 2 concentrations for 5 and 15 generations (5g, 15g). Each strain has a deletion in a different gene. In each strain, the gene was replaced by a deletion cassette containing a antibiotic resistance gene and two BARCODES, up and down tags (Please see Giaever et al, 2002, Nature). These tags in the DNA are specific to each strain. We pool all deletion strains and grow them under a selective condition; extract DNA; amplify barcodes using universal primers and hybridize to arrays containing complemetary sequences to the up and down tags. In this way, we can look at growth of each of the strains. Our strategy is to analyze separately the up and down tags. Therefore, for each array (CEL file), we generate two data files, one for all ups and another one for all downs. In these files, the list of genes are the same but the data come from different set of probes, up or down. The values are log2 averages of replicate probes for the same tag. These pre processed files were used to identify strains with differential growth in 1uM zinc by comparing to the 100uM zinc arrays.
2012-04-16 | E-GEOD-37254 | biostudies-arrayexpress
Project description:This work was designed to identify yeast cellular functions specifically affected by the stress factors predominating during the first stages of wine fermentation and genes required for optimal growth under these conditions. The main experimental method used was quantitative fitness analysis by means of competition experiments of whole genome barcoded yeast knock-out collections in continuous culture. This methodology allowed the identification of haploinsufficient genes and homozygous deletions resulting in growth impairment in synthetic must. However, genes identified as haploproficient or homozygous deletions resulting in fitness advantage were of little predictive power concerning optimal growth in this medium. The relevance of these functions for enological performance of yeast was assessed in batch cultures with single strains. Previous studies addressing yeast adaptation to winemaking conditions by quantitative fitness analysis, were not specifically focused on the proliferative stages, and their results were greatly dependent on the effects of gene deletions on yeast survival during stationary phase. Since biomass production has a great influence on the whole fermentation kinetics, focusing on the proliferative stages of the fermentation process has practical implications. In some instances our results highlight the importance of genes not previously linked to winemaking. In other cases our results are complementary to those reported in previous studies concerning, for example, the relevance of some genes involved in vacuolar, peroxisomal, or ribosomal functions. Transport processes and glucose signaling seem to be negatively affected by the stress factors encountered by yeast in synthetic must. Vacuolar activity is important for continued growth during the transition to stationary phase. Finally, reduced biogenesis of peroxisomes also seems to be advantageous. However, in contrast to what was described for later stages, reduced protein synthesis is not advantageous for the first stages of the fermentation, when most cell proliferation takes place. Competition experiments of the genome-wide collections of mutants were performed in triplicate using conditions that mimicked Phases I or II of a batch fermentation (equivalent to around 14 and 22 hours after inoculation of a batch fermentation, respectively), as well as on YPD (complete medium) for reference purposes. To this end, different feed formulations were used. One mL of either the homozygote or heterozygote pool stored at -80 ºC was added to 50 mL of YPD broth supplemented with 200 µg/mL G418 and incubated overnight at 28 °C and 150 rpm to serve as inoculum for the competition experiments. Samples were taken before the onset of the continuous culture as t=0 (preculture) references. Variations in pool composition were always estimated against the cognate preculture (most often a single preculture served as inoculum for several competitions). After 10 or 20 generations in continuous culture, samples of cells were used for the genomic DNA extraction. lification of the barcodes (uptags and downtags), hybridization, and scanning were performed according to the protocol described elsewhere [Pierce SE, Davis RW, Nislow C, Giaever G (2007) Genome-wide analysis of barcoded Saccharomyces cerevisiae gene-deletion mutants in pooled cultures. Nat Protocols 2: 2958-2974]. Slight modifications concerning the hybridization of Tag4 microarrays by using reagents and protocols from the GeneChip Hybridization, Wash and Stain Kit (Affymetrix) were made.
2013-04-18 | E-GEOD-46145 | biostudies-arrayexpress
Project description:The ability to perform complex bioassays in parallel enables experiments otherwise impossible due to throughput and cost constraints. By way of example, highly parallel chemical-genetic screens using pooled collections of thousands of defined Saccharomyces cerevisiae gene deletion strains are feasible because each strain is barcoded with unique DNA sequences. It is, however, time consuming and expensive to individually barcode individual strains. To provide a simple and general method of barcoding yeast collections, we built a set of donor strains, called Barcoders, with unique barcodes that can be systematically transferred to any S. cerevisiae collection. We applied this technology by generating a collection of barcoded DAmP (Decreased Abundance by mRNA Perturbation) loss-of-function strains comprising 87.1% of all essential yeast genes. This test collection validates both the Barcoders and the DAmP collection as useful tools for genome-wide chemical genetic assays.
2008-07-03 | E-MEXP-1671 | biostudies-arrayexpress
Project description:LNPs have been demonstrated to hold great promise for the clinical advancement of RNA therapeutics. Continued exploration of LNPs for application in new disease areas requires identification and optimisation of leads in a high throughput way. Currently available high throughput in vivo screening platforms are well suited to screen for cellular uptake but less so for functional cargo delivery. We report on a platform which measures functional delivery of LNPs using unique peptide ‘barcodes’. We describe the design and selection of the peptide barcodes and the evaluation of these for the screening of LNPs. We show that proteomic analysis of peptide barcodes correlates with quantification and efficacy of barcoded reporter proteins both in vitro and in vivo and, that the ranking of selected LNPs using peptide barcodes in a pool correlates with ranking using alternative methods in groups of animals treated with individual LNPs. We show that this system is sensitive, selective, and capable of reducing the size of an in vivo study by screening up to 10 unique formulations in a single pool, thus accelerating the discovery of new technologies for mRNA delivery.
2024-10-17 | PXD053797 | Pride
Project description:The importance of single-cell level data is increasingly appreciated, and significant advances in this direction have been made in recent years. Common to these technologies is the need to physically segregate individual cells into containers, such as wells or chambers of a micro-fluidics chip. High-throughput Single-Cell Labeling (Hi-SCL) in drops is a novel method that uses drop-based libraries of oligonucleotide barcodes to index individual cells in a population. The use of drops as containers, and a microfluidics platform to manipulate them en-masse, yields a highly scalable methodological framework. Once tagged, labeled molecules from different cells may be mixed without losing the cell-of-origin information. Here we demonstrate an application of the method for generating RNA-sequencing data for multiple individual cells within a population. Barcoded oligonucleotides are used to prime cDNA synthesis within drops. Barcoded cDNAs are then combined and subjected to second generation sequencing. The data are deconvoluted based on the barcodes, yielding single-cell mRNA expression data. In a proof-of-concept set of experiments we show that this method yields data comparable to other existing methods, but with unique potential for assaying very large numbers of cells. In this experiment we mixed 2 cell types (mES mEF) and then using single cell novel approach we could be able to find each cell (using its barcode) and assign it to mES of mEF and to produce mES and mEF aggregate bam files (converted to bed for GEO submission). 1152_RNA_RTprimers_Barcodes.txt: A list of all 1152 barcodes sequenced for Read2 fastq files.
2015-06-05 | E-GEOD-62050 | biostudies-arrayexpress
Project description:I used Affy Tag4 array as a readout of the molecular barcoded yeast orf library<br>
2009-07-02 | E-MEXP-2077 | biostudies-arrayexpress
Project description:HT-29 cells were barcoded using the CloneTracker lentiviral barcode library and then dabrafenib resistant derivative of these cells were established. Five million barcoded HT-29 cells were seeded into 15 cm cell culture dishes. When the cells reached confluency, two million cells per dish were seeded into four different 15 cm dishes (DMSO Control, Replica A, B, C) and two million cell pellets were stocked as initial cell population. Harvesting used medium through the experiment was performed at monthly intervals. Barcoded HT-29 cell line replicates A, B, and C were treated with 2XIC50 (199.6 nM) of dabrafenib concentration for the duration of 3 months. Following the end points of 3 months for each cell line, DNA isolation from harvested cell lines and collected medium of resistant A cell lines were carried out and barcodes were sequenced.
2023-09-06 | E-MTAB-13018 | biostudies-arrayexpress
Project description:DNA barcodes can be used to identify single cells in a sequencing data space while optical codes can be used to track single live cells in an image data space. We have developed dual image and DNA (ID)-coding, which identifies individual single cells in both live image and sequencing data spaces. Samples provided here are relevant to proof-of-concept studies of ID-coding presented in the associated publication. DNA barcoded micro-particles were encapsulated in hydrogel droplets with or without single cells. The hydrogel droplets were then subjected to “single-droplet sequencing” where whole polyA-bearing nucleic acid components within a hydrogel droplet (i.e. mRNA from cells and synthetic DNA on beads) were concatenated by the same cell barcodes.
2023-12-11 | E-MTAB-12988 | biostudies-arrayexpress