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GSE66521
Saccharomyces cerevisiae
16 Downloadable Samples
Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Natural grape-juice fermentations involve the sequential development of different yeast species which strongly influence the chemical and sensorial traits of the final product. In the present study,we aimed to examine the transcriptomic response of Saccharomyces cerevisiae to the presence of Hanseniaspora guilliermondii wine fermentation.
Publication Title
Genomic expression program of Saccharomyces cerevisiae along a mixed-culture wine fermentation with Hanseniaspora guilliermondii.
Sample Metadata Fields
Treatment, Time
View Samples- Homo sapiens
- 259 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
RNA sequencing validation of the Complexity INdex in SARComas prognostic signature.
Sample Metadata Fields
Time
View Samples- Homo sapiens
- 259 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We validated the technological and material transfers of the CINSARC signature.
Publication Title
RNA sequencing validation of the Complexity INdex in SARComas prognostic signature.
Sample Metadata Fields
Time
View Samples- Saccharomyces cerevisiae
- 48 Downloadable Samples
- Affymetrix Yeast Genome S98 Array (ygs98)
Description
Oxidative stress is a harmful condition in a cell, tissue, or organ, caused by an imbalnace between reactive oxygen species and other oxidants and the capacity of antioxidant defense systems to remove them. The budding yeast S. cerevisiae has been the major eukaryotic model for studies of response to oxidative stress.
Publication Title
The genome-wide early temporal response of Saccharomyces cerevisiae to oxidative stress induced by cumene hydroperoxide.
Sample Metadata Fields
No sample metadata fields
View Samples- Danio rerio
- 28 Downloadable Samples
Illumina HiSeq 2500
Description
Forced sustained swimming exercise at optimal speed enhances growth in many fish species, particularly through hypertrophy of the white skeletal muscle. The exact mechanism of this effect has not been resolved yet. To explore the mechanism, we first subjected wild-type zebrafish to an exercise protocol validated for exercise-enhanced growth, and showed that exercised zebrafish, which indeed showed enhanced growth, had higher cortisol levels than the non-exercised controls. A central role was therefore hypothesized for the steroid hormone cortisol acting through the Glucocorticoid receptor (Gr). Second, we subjected wild-type zebrafish and zebrafish with a mutant Gr to exercise at optimal, suboptimal and super-optimal speeds and compared them with non-exercised controls. Exercised zebrafish showed growth enhancement at all speeds, with highest growth at optimal speeds. In the Gr mutant fish, exercise resulted in growth enhancement similar to wild-type zebrafish, indicating that cortisol cannot be considered as a main determinant of exercise-enhanced growth. Finally, the transcriptome of white skeletal muscle tissue was analysed by RNA sequencing. The results of this analysis showed that in the muscle tissue of Gr mutant fish a lower number of genes is regulated by exercise than in wild-type fish (183 versus 351). A cluster of 36 genes was regulated by exercise in both wild-type and mutant fish. In this cluster, genes involved in transcriptional regulation and protein ubiquitination were overrepresented. Since growth was enhanced similarly in both wild-type fish and mutants, these processes may play an important role in exercise-enhanced growth. Overall design: Deep-sequencing transcriptome analysis of white muscle samples derived from wild-type (++) or glucocorticoid receptor (Gr) mutant (--) Danio rerio specimens that were exposed to either a resting (REST) or a swimming (UOPT) regimen: wild-type resting (REST++; n=3), Gr mutant resting (REST--; n=3), wild-type swimming (UOPT++; n=3), Gr mutant swimming (UOPT--; n=3).
Publication Title
Cortisol Acting Through the Glucocorticoid Receptor Is Not Involved in Exercise-Enhanced Growth, But Does Affect the White Skeletal Muscle Transcriptome in Zebrafish (<i>Danio rerio</i>).
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Homo sapiens
- 29 Downloadable Samples
- Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
Human T-cell development is less well studied than its murine counterpart due to the lack of genetic tools and the difficulty of obtaining cells and tissues. However, recent technological advances allow identification of the transcriptional landscape of differentiating human thymocytes. Here we report the gene expression profiles of 11 immature, consecutive T-cell developmental stages. The changes in gene expression of cultured stem cells on OP9-DL1 match those of ex vivo isolated human thymocytes. These analyses led us to define evolutionary conserved gene signatures that represent pre- and post- T-cell commitment stages. We found that loss of CD44 marks T-cell commitment in early CD7+CD5+CD45dim cells, before the acquisition of CD1a surface expression. The CD44-CD1a- post-committed thymocytes have initiated in frame TCR rearrangements and have completely lost the capacity to develop into myeloid, B- and NK-cells, unlike uncommitted CD44+CD1a- thymocytes. Therefore, loss of CD44 represents a previously unrecognized stage that defines the earliest committed T-cell population in the human thymus.
Publication Title
Loss of CD44<sup>dim</sup> Expression from Early Progenitor Cells Marks T-Cell Lineage Commitment in the Human Thymus.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae, Lactobacillus delbrueckii subsp. bulgaricus
- 3 Downloadable Samples
- Affymetrix Yeast Genome S98 Array (ygs98)
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 -galactosidase.
Publication Title
Transcriptome-based characterization of interactions between Saccharomyces cerevisiae and Lactobacillus delbrueckii subsp. bulgaricus in lactose-grown chemostat cocultures.
Sample Metadata Fields
No sample metadata fields
View Samples- Caenorhabditis elegans
- 14 Downloadable Samples
- Illumina HiSeq 2000
Description
Stressors may have negative or positive effects in dependence of the dose (hormesis). We studied this phenomenon in Caenorhabditis elegans by applying weak or severe abiotic (cadmium, CdCl2) and/or biotic stress (different bacterial diets) during cultivation/breeding of the worms, and determining developmental speed or survival rates and performing transcriptome profiling and RT-qPCR analyses to explore the genetic basis of the detected phenotypic differences. This study showed that a bacterial diet resulting in higher levels of energy resources in the worms (E. coli OP50 feeding) or weak abiotic and biotic stress especially promote the resistance against severe abiotic or biotic stress and the age-specific survival rate of WT. Overall design: Five experimental conditions; mostly three replicates per experimental condition; four contrasts between test and control conditions functionally analyzed.
Publication Title
Bacterial diet and weak cadmium stress affect the survivability of <i>Caenorhabditis elegans</i> and its resistance to severe stress.
Sample Metadata Fields
Cell line, Treatment, Subject
View Samples- Mus musculus
- 100 Downloadable Samples
- Illumina HiSeq 2000
Description
Injuries to the anterior cruciate ligament (ACL) often result in post-traumatic osteoarthritis (PTOA). PTOA accounts for ~12% of all osteoarthritis (OA) cases, yet the mechanisms contributing to OA after joint injury are not well understood. To better understand the molecular mechanisms behind PTOA development following ACL injury, we profiled ACL injury-induced gene expression changes in knee joints of three mouse strains with varying susceptibility to PTOA: STR/ort (highly susceptible), C57BL/6 (moderately susceptible) and super-healer MRL/MpJ (not susceptible) and identified genes differentially expressed between these strains at 0-day [before injury], 1-day, 1-week, and 2-weeks post-injury. This study highlights many new potential therapeutic targets and OA biomarkers. Overall design: Comparative transcriptomics to understand the molecular changes associated with early stages of PTOA development in STR/ort, C57BL/6 and MRL/MpJ mice and to identify genes that contribute to increased OA susceptibility in STR/ort and resistance to PTOA in MRL/MpJ.
Publication Title
Comparative Transcriptomics Identifies Novel Genes and Pathways Involved in Post-Traumatic Osteoarthritis Development and Progression.
Sample Metadata Fields
Age, Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Cystatin D (CST5) is an inhibitor of several proteases of the cathepsin family that inhibits cell proliferation, migration and invasion of colon carcinoma cells. Some of these effects are unrelated to its antiprotease activity. Here, we use genome-wide expression microarrays to show that cystatin D regulates gene expression (including that of genes encoding transcription factors such as RUNX1, RUNX2, or MEF2C) in HCT116 cells.
Publication Title
Cystatin D locates in the nucleus at sites of active transcription and modulates gene and protein expression.
Sample Metadata Fields
Specimen part, Cell line
View Samples