RNA-Seq of wild type yeast and several knockout strains in different chemically defined media
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Illumina HiSeq 2000
ORGANISM(S): Saccharomyces cerevisiae
SUBMITTER: Katharina Zirngibl
PROVIDER: E-MTAB-4651 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Cultures of two Pseudo-nitzschia multistriata strains of opposite mating type were placed in a bipartite glass apparatus with a membrane separating them. This allows perception of sexual cues. Samples were taken at 2 hours and 6 hours from the start of the experiment and gene expression was compared to the same strains grown in monocultures.
2017-05-04 | E-MTAB-5469 | biostudies-arrayexpress
Project description:The identification of new agents that may modulate the progression of cancer cell growth is of great interest. In this regard, dietary agents can be utilized to identify molecular targets to be used as part of a chemopreventive strategy. Walnuts contain several bioactive compounds, including pedunculagin, a polyphenol metabolized by microbiota to form urolithins, namely urolithin A (UA). We performed a genomic analysis to study the effect of UA on androgen-dependent LNCaP prostate adenocarcinoma cells. Cells were incubated with 40µM UA for 24 hours, then, RNA was extracted. RNA samples were processed in the automated Biomek FX System (Beckman Coulter), where aRNA was produced, and labeled with Biotin, purified , fragmented and hybridized onto HG U219-24 Array, using the GeneChip HT 3âIVT Express Kit . Afterwards, the GeneTitan® Multi-Channel (MC) Instrument (Affymetrix) was used to hybridize, wash , stain , and scan the arrays. Microarray results were analyzed using the GeneSpring GX v13.0 software. LNCaP cells were plated in 35mm wells, the following day they were treated with 40µM urolithin A (UA) for 24 hours, after incubation Total RNA was extracted using Qiagen RNAeasy minikit. The Affymetrix Human Genome U219 array plate was used, which measures gene expression of more than 36 000 transcripts and variants per sample, which represent more than 20 000 genes.
2016-07-27 | E-GEOD-65527 | biostudies-arrayexpress
Project description:FK506 binding protein 51kDa (FKBP51/FKBP5) is part of a mature heat shock protein 90kDa (Hsp90) chaperone complex that preserves tau. Microarray analysis of human brains reveal that FKBP51 gene expression selectively increased with age and Alzheimer's disease, which correlated with demethylation of the regulatory regions in the FKBP5 gene. Moreover, FKBP51 levels significantly correlated with Braak pathological staging. In addition, we show that in brains devoid of FKBP51, tau levels are reduced. Recombinant FKBP51 and Hsp90 synergize to block tau clearance through the proteasome and produce T22-positive tau oligomers. Overexpression of FKBP51 in a tau transgenic mouse model revealed that FKBP51 preserved tau species, including phosphorylated and oligomeric tau that have been linked to Alzheimer's disease pathogenesis. FKBP51 blocked amyloid formation and decreased tangle load in the brain. These alterations in tau turnover and aggregate structure culminated in enhanced neurotoxicity. We propose a model where age-associated increases in FKBP51 levels can out-compete the association of other pro-degradation Hsp90 co-chaperones, resulting in neurotoxic tau accumulation. Thus, strategies aimed at attenuating FKBP51 levels or its interaction with Hsp90 could be therapeutically relevant for Alzheimer's disease and other tauopathies. These AD cases were processed simultaneously with the control cases (young and aged) included in GSE11882 Postmortem brain tissue was collected from ADRC brain banks. Cases were preferentially selected where 3 or more brain regions were available
2014-04-21 | E-GEOD-48350 | biostudies-arrayexpress
Project description:The aim of the experiment was to study the gene expression changes occurring when cells of the diatom Skeletonema marinoi undergo sexual reproduction. In this species, sex can be induced by an environmental trigger, specifically a change in salinity of the cultivation media. In diatoms the unique mode of cell division with unequal inheritance of the rigid cell wall components determines a progressive cell size reduction as cells divide. Large cells above a given size threshold are not competent for sex, on the other hand small cells, under appropriate conditions, can undergo sexual reproduction. RNA-seq included three experimental conditions: a) large cells above the sexualization size threshold, grown at standard salinity (control condition: no sex, no salinity stress); b) large cells above the sexualization size threshold transferred to higher salinity (treatment 1: no sex, salinity stress); c) small cells below the sexualization size threshold transferred to higher salinity (treatment 2: sex, salinity stress).
2019-07-03 | E-MTAB-8091 | biostudies-arrayexpress
Project description:Biological relevance and intent of the experiment: Given their abundance in the oceans and the exceptional adaptive capacities that make them capable of colonizing the most disparate habitats, diatoms constitute a group of microalgae of considerable ecological importance. This experiment aims to provide a molecular characterization of sexual reproduction for the diatom Pseudo-nitzschia multistriata, in relation to the consumption of nutrients and the impact on the marine ecosystem, by exploring the gene expression changes occurring at different time points in the cells involved in the process. Experimental workflow: Cell cultures of P. multistriata belonging to opposite mating types (MT- and MT+) were grown in 12L/12D cycles at 18°C under normal light conditions (60 uE) and crossed at a final cell density of 20.000 cells/ml using half volume from each MT. Samples for transcriptomic analyses were collected at three time points for sexually reproducing cells (1 hour: T1, 24 hours: T2 and 120 hours: T3), and at one time point (24 hours: T2) for parental monocultures grown in parallel as control condition.
2021-11-24 | E-MTAB-8854 | biostudies-arrayexpress
Project description:According to the present theories, in nutrient-repleted conditions diatoms should not be affected by turbulence. We made laboratory experiments to demonstrate that two chain forming diatoms sense and respond to turbulence by varying their chain length spectra and tuning their metabolism. We compared transcriptomes of turbulence-exposed cells with still conditions and analyzed the effects.
2017-05-03 | E-MTAB-5031 | biostudies-arrayexpress
Project description:Prostate cancer (PCa) development and progression are associated with chronic inflammation. The cytokine interleukin (IL)-6 can influence progression, differentiation, survival, and angiogenesis of PCa. To identify novel pathways that are triggered by IL-6, we performed a gene expression profiling of two PCa cell lines, LNCaP and MDA PCa 2b, under treatment with 5 ng/ml IL-6. Interferon regulatory factor (IRF)9 was identified as one of the most prevalent IL-6 regulated genes in both cell lines. IRF9 is a mediator of type I interferon signaling and acts together with signal transduction and activator of transcription (STAT)1 and 2 to activate transcription of interferon responsive genes. The IL-6 regulation of IRF9 was confirmed at mRNA and protein levels by quantitative real-time PCR and Western blot, respectively, in both cell lines and could be blocked by the anti-IL-6 antibody Siltuximab. Three PCa cell lines with an autocrine IL-6 loop, PC3, DU145, and LNCaP-IL-6+, showed a high expression of IRF9. A tissue microarray with 36 malignant and adjacent 36 benign areas from prostate cancer specimens showed that IRF9 protein expression is moderately elevated in malignant areas and positively correlates with the tissue expression of IL-6. Downregulation and overexpression of IRF9 provided evidence for an interferon-independent role of IRF9 on cellular proliferation of different PCa cell lines. Furthermore, expression of IRF9 was essential to mediate the antiproliferative effects of IFN-M-NM-12. We concluded that IL-6 is an inducer of IRF9 expression in prostate cancer and a sensitizer for the antiproliferative effects of IFNM-NM-12. LNCaP and MDA PCa 2b cells were seeded in 12 wells each. The cells were starved for 24 h and half were treated with 5 ng/ml IL-6 for 18 h. Two biological replicates were performed, each in three replicates, resulting in 12 samples per cell line.
2013-08-02 | E-GEOD-47973 | biostudies-arrayexpress
Project description:The present study aims to explore chemostat-based transcriptome analysis of mixed cultures by investigating interactions between the yeast S. cerevisiae and the lactic acid bacterium L. bulgaricus . S. cerevisiae and L. bulgaricus are both frequently encountered in kefir, a fermented dairy product. In the context of this study, this binary culture serves as a model for the many traditional food and beverage fermentation processes in which yeasts and lactic acid bacteria occur together. The design of the cultivation conditions was based on the observation that L. bulgaricus, but not S. cerevisiae, can use lactose as a carbon source for growth and that S. cerevisiae, but not L. bulgaricus, can grow on galactose that is released upon hydrolysis of lactose by the bacterial β-galactosidase. Mixed populations of yeasts and lactic acid bacteria occur in many dairy, food and beverage fermentations, but knowledge about their interactions is incomplete. In the present study, interactions between Saccharomyces cerevisiae and Lactobacillus delbrueckii subsp. bulgaricus, two microorganisms that co-occur in kefir fermentations, were studied during anaerobic growth on lactose. By combining physiological and transcriptome analysis of the two strains in the co-cultures, five mechanisms of interaction were identified. 1. L. bulgaricus hydrolyses lactose, which cannot be metabolized by S. cerevisiae, to galactose and glucose. Subsequently, galactose, which cannot be metabolized by L. bulgaricus, is excreted and provides a carbon source for yeast. 2. In pure cultures, L. bulgaricus only grows at increased CO2 concentrations. In anaerobic mixed cultures, the yeast provides this CO2 via alcoholic fermentation. 3. Analysis of amino acid consumption from the defined medium indicated that S. cerevisiae supplied alanine to the bacteria. 4. A mild but significant low-iron response in the yeast transcriptome, identified by DNA microarray analysis, was consistent with the chelation of iron by the lactate produced by L. bulgaricus. 5. Transcriptome analysis of L. bulgaricus in mixed cultures showed an overrepresentation of transcripts involved in lipids metabolism suggesting either a competition of the two microorganisms for fatty acids, or a response to the ethanol produced by S. cerevisiae.
2013-04-01 | GSE45623 | GEO
Project description:The present study aims to explore chemostat-based transcriptome analysis of mixed cultures by investigating interactions between the yeast S. cerevisiae and the lactic acid bacterium Lb. bulgaricus . S. cerevisiae and Lb. bulgaricus are both frequently encountered in kefir, a fermented dairy product (25). In the context of this study, this binary culture serves as a model for the many traditional food and beverage fermentation processes in which yeasts and lactic acid bacteria occur together (19,26-30). The design of the cultivation conditions was based on the observation that Lb. bulgaricus, but not S. cerevisiae, can use lactose as a carbon source for growth and that S. cerevisiae, but not Lb. bulgaricus, can grow on galactose that is released upon hydrolysis of lactose by the bacterial M-NM-2-galactosidase. Mixed populations of yeasts and lactic acid bacteria occur in many dairy, food and beverage fermentations, but knowledge about their interactions is incomplete. In the present study, interactions between Saccharomyces cerevisiae and Lactobacillus delbrueckii subsp. bulgaricus, two microorganisms that co-occur in kefir fermentations, were studied during anaerobic growth on lactose. By combining physiological and transcriptome analysis of the two strains in the co-cultures, five mechanisms of interaction were identified. 1. Lb. bulgaricus hydrolyses lactose, which cannot be metabolized by S. cerevisiae, to galactose and glucose. Subsequently, galactose, which cannot be metabolized by Lb. bulgaricus, is excreted and provides a carbon source for yeast. 2. In pure cultures, Lb. bulgaricus only grows at increased CO2 concentrations. In anaerobic mixed cultures, the yeast provides this CO2 via alcoholic fermentation. 3. Analysis of amino acid consumption from the defined medium indicated that S. cerevisiae supplied alanine to the bacteria. 4. A mild but significant low-iron response in the yeast transcriptome, identified by DNA microarray analysis, was consistent with the chelation of iron by the lactate produced by Lb. bulgaricus. 5. Transcriptome analysis of Lb. bulgaricus in mixed cultures showed an overrepresentation of transcripts involved in lipids metabolism suggesting either a competition of the two microorganisms for fatty acids, or a response to the ethanol produced by S. cerevisiae. To our knowledge, this is the first transcriptome study of a cross-kingdom binary mixed culture that analyses responses of both microorganisms. This study demonstrates that chemostat-based transcriptome analysis is a powerful tool to investigated microbial interaction in mixed populations. To investigate the impact of of co-cultivation with Lb. bulgaricus on S. cerevisiae, a DNA microarray-based transcriptome analysis of S. cerevisiae's response was performed on anaerobic, lactose-limited chemostat cultures grown in the presence and absence of L. bulgaricus.
2013-08-22 | E-GEOD-45776 | biostudies-arrayexpress
Project description:The present study aims to explore chemostat-based transcriptome analysis of mixed cultures by investigating interactions between the yeast S. cerevisiae and the lactic acid bacterium Lb. bulgaricus . S. cerevisiae and Lb. bulgaricus are both frequently encountered in kefir, a fermented dairy product (25). In the context of this study, this binary culture serves as a model for the many traditional food and beverage fermentation processes in which yeasts and lactic acid bacteria occur together (19,26-30). The design of the cultivation conditions was based on the observation that Lb. bulgaricus, but not S. cerevisiae, can use lactose as a carbon source for growth and that S. cerevisiae, but not Lb. bulgaricus, can grow on galactose that is released upon hydrolysis of lactose by the bacterial β-galactosidase. Mixed populations of yeasts and lactic acid bacteria occur in many dairy, food and beverage fermentations, but knowledge about their interactions is incomplete. In the present study, interactions between Saccharomyces cerevisiae and Lactobacillus delbrueckii subsp. bulgaricus, two microorganisms that co-occur in kefir fermentations, were studied during anaerobic growth on lactose. By combining physiological and transcriptome analysis of the two strains in the co-cultures, five mechanisms of interaction were identified. 1. Lb. bulgaricus hydrolyses lactose, which cannot be metabolized by S. cerevisiae, to galactose and glucose. Subsequently, galactose, which cannot be metabolized by Lb. bulgaricus, is excreted and provides a carbon source for yeast. 2. In pure cultures, Lb. bulgaricus only grows at increased CO2 concentrations. In anaerobic mixed cultures, the yeast provides this CO2 via alcoholic fermentation. 3. Analysis of amino acid consumption from the defined medium indicated that S. cerevisiae supplied alanine to the bacteria. 4. A mild but significant low-iron response in the yeast transcriptome, identified by DNA microarray analysis, was consistent with the chelation of iron by the lactate produced by Lb. bulgaricus. 5. Transcriptome analysis of Lb. bulgaricus in mixed cultures showed an overrepresentation of transcripts involved in lipids metabolism suggesting either a competition of the two microorganisms for fatty acids, or a response to the ethanol produced by S. cerevisiae. To our knowledge, this is the first transcriptome study of a cross-kingdom binary mixed culture that analyses responses of both microorganisms. This study demonstrates that chemostat-based transcriptome analysis is a powerful tool to investigated microbial interaction in mixed populations.
2013-08-22 | GSE45776 | GEO