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Homo sapiens
145 Downloadable Samples
Description
The use of induced pluripotent stem cells (iPSC) derived from independent patients and sources holds considerable promise to improve the understanding of development and disease. However, optimized use of iPSC depends on our ability to develop methods to efficiently qualify cell lines and protocols, monitor genetic stability, and evaluate self-renewal and differentiation potential. To accomplish these goals, 57 stem cell lines from 10 laboratories were differentiated to 7 different states, resulting in 248 analyzed samples. Cell lines were differentiated and characterized at a central laboratory using standardized cell culture methodologies, protocols, and metadata descriptors. Stem cell and derived differentiated lines were characterized using RNA-seq, miRNA-seq, copy number arrays, DNA methylation arrays, flow cytometry, and molecular histology. All materials, including raw data, metadata, analysis and processing code, and methodological and provenance documentation are publicly available for re-use and interactive exploration at https://www.synapse.org/pcbc. The goal is to provide data that can improve our ability to robustly and reproducibly use human pluripotent stem cells to understand development and disease.
Publication Title
Integrated Genomic Analysis of Diverse Induced Pluripotent Stem Cells from the Progenitor Cell Biology Consortium.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 18 Downloadable Samples
- Illumina HiSeq 2500
Description
Acute liver injury is a critical life-threatening event. Common causes are infections, intoxication, and ischemic conditions. The cytokine Interleukin 22 (IL-22) has been implicated in this process. However, the role of IL-22 during acute liver damage is controversial, since both protective and pathogenic properties have been reported. IL-22 binding protein (IL-22BP, IL-22Ra2), a soluble endogenous inhibitor of IL-22, is able to regulate IL-22 activity, and thus might explain some of the controversial findings. Since the role of IL-22BP in liver injury is unknown, we used Il22bp deficient mice and mouse models for acute liver damage to address this point. We found that Il22bp deficient mice were more susceptible to ischemia- and acetaminophen- induced liver damage. Deficiency of Il22bp caused increased hepatic damage and delayed liver regeneration. Using an unbiased approach, we found that IL-22, if uncontrolled in Il22bp deficient mice, induced Cxcl10 expression by hepatocytes, thereby recruiting inflammatory CD11b+Ly6C+ monocytes into the liver upon liver damage. Accordingly, neutralization of Cxcl10 reversed the increased disease susceptibility of Il22bp deficient mice. In conclusion, our data suggest dual functions of IL-22 in acute liver damage, and highlight the need to control IL-22 activity via IL-22BP. Overall design: RNA sequencing of RNA isolated from liver tissue from mice that underwent liver reperfusion treatment (IR) or sham surgery, in triplicate for three genotypes (Wt, Il22-/- and Il22bp-/-).
Publication Title
A Protective Function of IL-22BP in Ischemia Reperfusion and Acetaminophen-Induced Liver Injury.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Mus musculus
- 647 Downloadable Samples
Description
We adopted the STRT-seq [Islam et al., Nat Methods 11, 163-166 (2013)] RNA-seq technology to a 9600-well array and applied it to analyze single cells from mouse and human cortex single cells. Overall design: 2192 single cells from mouse somatosensory cortex and 2028 single nuclei from human post-mortem middle temporal gyrus cortex.
Publication Title
STRT-seq-2i: dual-index 5' single cell and nucleus RNA-seq on an addressable microwell array.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 12 Downloadable Samples
- Illumina HiSeq 2000
Description
Haploid budding yeast has two mating types, defined by the alleles of the MAT locus, MATa and MATa. Mating occurs when two haploid cells of opposite mating types signal to each other using reciprocal pheromones and receptors, polarize and grow towards each other, and eventually fuse to form a single diploid cell. The pheromones and receptors are necessary and sufficient to define a mating type, but other mating type-specific proteins make mating more efficient. We examined the role of these proteins by genetically engineering “transvestite” cells that swap the pheromone, pheromone receptor, and pheromone processing factors of one mating type for another. These cells can mate with each other, but their mating is inefficient. By characterizing their mating defects and examining their transcriptomes, we found Afb1 (a-factor barrier), a novel MATa-specific protein that interferes with a-factor, the pheromone secreted by MATa cells. We show that strong pheromone secretion is essential for efficient mating and that the weak mating of transvestites can be improved by boosting their pheromone production. Using synthetic biology, it is possible to characterize the factors that control efficiency in biological processes. In the case of budding yeast mating, selection for increased mating efficiency is likely to have continually boosted pheromone levels and the ability to discriminate between partners who make more (potentially fitter) and less (potentially less fit) pheromones. This sensitivity to which partner makes more pheromone comes at a cost: it means mating is not robust in situations where all potential partners make less pheromone. Overall design: 4 conditions were analysed, each with 3 biological replicates. The conditions were unstimulated MATa cells in YPD. Stimulated MATa cells in YPD+10nM a-factor. Unstimulated MATa cells in YPD. Stimulated MATa cells in YPD+10nM a-factor.
Publication Title
Genetically engineered transvestites reveal novel mating genes in budding yeast.
Sample Metadata Fields
Cell line, Subject
View Samples- Rattus norvegicus
- 256 Downloadable Samples
Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
The sexually dimorphic expression of genes across 26 somatic rat tissues was using Affymetrix RAE-230 genechips. We considered probesets to be sexually dimorphically expressed (SDE) if they were measurably expressed above background in at least one sex, there was at least a two-fold difference in expression (dimorphism) between the sexes, and the differences were statistically significant after correcting for false discovery. 14.5% of expressed probesets were SDE in at least one tissue, with higher expression nearly twice as prevalent in males compared to females. Most were SDE in a single tissue. Surprisingly, nearly half of the probesets that were (SDE) in multiple tissues were oppositely sex biased in different tissues, and most SDE probesets were also expressed without sex bias in other tissues. Two genes were widely SDE: Xist (female-only) and Eif2s3y (male-only). The frequency of SDE probesets varied widely between tissues, and was highest in the duodenum (6.2%), whilst less than 0.05% in over half of the surveyed tissues. The occurrence of SDE probesets was not strongly correlated between tissues. Within individual tissues, however, relational networks of SDE genes were identified. In the liver, networks relating to differential metabolism between the sexes were seen. The estrogen receptor was implicated in differential gene expression in the duodenum. To conclude, sexually dimorphic gene expression is common, but highly tissue-dependent. Sexually dimorphic gene expression may provide insights into mechanisms underlying phenotypic sex differences.
Publication Title
The incidence of sexually dimorphic gene expression varies greatly between tissues in the rat.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We used microarrays to find Stat6 dependent genes in control and IL-4 exposed bone marrow derived macrophages.
Publication Title
Alternatively activated macrophages inhibit T-cell proliferation by Stat6-dependent expression of PD-L2.
Sample Metadata Fields
Specimen part
View Samples
GSE29815- Drosophila melanogaster
- 22 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
Gene expression analysis of yw follicles at S9/10a, S10B, S12, and S14; Gene expression analysis of pxt mutant follicles (f01000 and EY03052) at S10B, S12, S14
Publication Title
Drosophila eggshell production: identification of new genes and coordination by Pxt.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 10 Downloadable Samples
- Affymetrix Human Gene 2.1 ST Array (hugene21st)
Description
Immunoprecipitation of EGFR from irradiated A549 (ATCC CCL185) cells was performed in order to characterize bound mRNA species with the help of microarray analysis
Publication Title
New roles for nuclear EGFR in regulating the stability and translation of mRNAs associated with VEGF signaling.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
The purpose of the experiment was to generate a time course of gene expression following irradiation. The goal was then to model this data to extract hidden variables - chiefly, the activity profiles of the p53 transcription factor. Using this information the aim was to predict which transcripts changed by IR were targets of p53. Cells in log phase (1 x 106 ml-1) were ?-irradiated with 5 Gy at room temperature (RT) at a dose rate of 2.45 Gy per minute with a 137Cs ?-irradiator. Cells were harvested at 0, 2, 4, 6, 8, 10 and 12 hours, and RNA and protein were extracted (Trizol, Invitrogen). Affymetrix U133A arrays were hybridized as standard (www.affymetrix.co.uk). Array quality was determined using R and GCOS .rpt file values. The time course was replicated three times from independent cell preparations.
Publication Title
Ranked prediction of p53 targets using hidden variable dynamic modeling.
Sample Metadata Fields
Specimen part, Disease, Cell line, Time
View Samples- Homo sapiens
- 15 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Isolation and characterization of tumourigenic colon cancer initiating cells may help to develop novel diagnostic and therapeutic procedures. Methods: We characterized a panel of fourteen human colon carcinoma cell lines and their corresponding xenografts for the surface expression of different potential stem cell markers: CD133, CD24, CD44, CDCP1 and CXCR4. In five cell lines and nine xenografts mRNA expression of the investigated markers was determined. Tumour growth behaviour of CD133+, CD133- and unsorted SW620 cells was evaluated in vivo. Results: All surface markers showed distinct expression patterns in the examined tumours. Analyses of the corresponding xenografts revealed a significant reduction of cell numbers expressing the investigated markers. CD44 and CXCR4 mRNA expression correlated within the cell line panel and CD44 and CDCP1 within the xenograft panel, respectively. Small subpopulations of double and triple positive cells could be described. SW620 showed significantly higher take rates and shorter doubling times in vivo when sorted for CD133 positivity. Conclusion: Our data support the hypothesis of a small subset of cells with stem cell-like properties characterized by a distinct surface marker profile. In vivo growth kinetics give strong relevance for an important role of CD133 within the mentioned surface marker profile.
Publication Title
Characterization of colon cancer cells: a functional approach characterizing CD133 as a potential stem cell marker.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples