Referenced datasets may contain one or more condition(s), and as a result there may be a greater number of conditions than datasets represented in a single clickable histogram bar. The histogram division at 0.0 separates the down-regulated (green) conditions and datasets from those that are up-regulated (red). Datasets are assigned one or more categories to facilitate grouping, filtering and browsing. Expression data are derived from records contained in the Gene Expression Omnibus, and are first log2 transformed and normalized. The PCL files generated for each dataset are used to populate the expression analysis tool SPELL.
No expression data for NUP157.
View genes with similar expression profiles using SPELL (Serial Pattern of Expression Levels Locator).
Datasets are used to populate the expression analysis tool SPELL and may contain data for more than one unique experimental condition. All data is log2 transformed and normalized, and the files are provided in PCL format. Short descriptions of the experimental focus are provided, as are categories, assigned based on the area(s) of biology investigated and used in SPELL to group and filter like data. The number of unique experimental conditions are indicated and all datasets are referenced.
438 datasets for 369 referencesIncrease the total number of rows displayed on this page using the pull-down located below the table, or use the page scroll at the table's top right to browse through the table's pages; use the arrows to the right of a column header to sort by that column; filter the table using the "Filter" box at the top of the table; download this table as a .txt file using the Download button;
| Dataset | Description | Keywords | Number of Conditions | Reference |
|---|---|---|---|---|
| 20% (w/v) Glucose osmotic stress (YP20) vs 1M Sorbitol osmotic stress (YPS) | Transcriptional profiling of yeast Saccharomyces serevisiae cells exposed to stress (30 min) compared to no stress conditions (YPD) Two stress condition experiments, YP20 and YPS, each one compared to no-stress conditions (YPD). | carbon utilization, osmotic stress | 4 | Gomar-Alba M, et al. (2015) PMID:26048894 |
| 2h dose response_AFB treatment | RNA isolated from the 0, 10, 25, 50 and 100 micromolar AFB1 cultures at 120 min treatment was used for cDNA microarray experiments | chemical stimulus | 10 | Guo Y, et al. (2006) PMID:16122766 |
| 300 ppm Citrinin treatment for 2 h | This SuperSeries is composed of the SubSeries listed below. | chemical stimulus | 15 | Iwahashi H, et al. (2007) PMID:17408496 |
| 50 uM AFB_time course | RNA isolated from the cultures treated with 0 and 50 micromolar AFB1 at 15, 30, 60, 90, 120 min was used for microarray experiments | chemical stimulus | 11 | Guo Y, et al. (2006) PMID:16122766 |
| A Nested Parallel Experiment Demonstrates Differences in Intensity-Dependence Between RNA-Seq and Microarrays | We carried out a parallel nested experiment performed simultaneously on RNA-Seq and microarrays that systematically split variation into four stages (treatment, biological variation, library preparation, and chip/lane noise), allowing a separation and comparison of the sources of variation in a well-controlled cellular system, Saccharomyces cerevisiae. | bioinformatics and computational biology | 16 | Robinson DG, et al. (2015) PMID:26130709 |
| A perturbation in the system leads to period doubling | Perturbation of the gated-synchrony system in yeast with phenelzine, an antidepressant drug used in the treatment of affective disorders in humans, leads to a rapid lengthening in the period of the genome-wide transcriptional oscillation | carbon utilization, chemical stimulus, oxygen level alteration, respiration | 48 | Li CM and Klevecz RR (2006) PMID:17043222 |
| A Quantitative, High-Throughput Reverse Genetic Screen Reveals Novel Connections Between pre-mRNA Splicing and 5__ and 3__ end Transcript Determinants | The coding portions of most eukaryotic genes are interrupted by non-coding regions termed introns that must be excised prior to their translation | mRNA processing | 64 | Albulescu LO, et al. (2012) PMID:22479188 |
| A SAGA-Independent Function of SPT3 Mediates Transcriptional Deregulation in a Mutant of the Ccr4-Not Complex | The conserved multi-subunit Ccr4-Not complex regulates gene expression in diverse ways | transcription | 8 | James N, et al. (2007) PMID:17660549 |
| A TATA binding protein regulatory network | Background: Eukaryotic genes are controlled by proteins that assemble stepwise into a transcription complex | transcription | 149 | Huisinga KL and Pugh BF (2007) PMID:17407552 |
| abf1-1 mutant at 36C | abf1-1 mutant and wt cells grown at 30C, raised to 36C for 45 min | transcription | 4 | Miyake T, et al. (2004) PMID:15192094 |
This diagram displays a gene network based on correlated expression profiles (purple lines) between the given gene (yellow circle) and genes that share expression profiles (gray circles). The correlation coefficient is calculated between every pair of genes in every dataset, then the number of datasets in which the pair of genes has a significant correlation with one another is determined. The network displays the genes whose expression is correlated with the given gene in the largest number of datasets. Please note that SPELL use a different algorithm to make a global calculation taking into account all the datasets at once, and may therefore display a different set of correlated genes.
Click on a gene to go to its specific page within SGD; drag any of the gene objects around within the visualization for easier viewing. Filter similar genes by adjusting the number of datasets in which their expression profiles are highly correlated with the gene of interest by clicking anywhere on the slider bar or dragging the tab to the desired filter number. Click “Reset” to automatically redraw the diagram.