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Homo sapiens
39 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Sample Metadata Fields
Specimen part, Disease
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GSE11057- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples.
Publication Title
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Sample Metadata Fields
Specimen part, Disease
View Samples GSE11058- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown.
Publication Title
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 2 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Ubiquitin-mediated proteolysis play a significant role in various biological processes including transcription, DNA repair and cell cycle progression. The identification of Set8 and Set8b (a splice isoform) histone H4K20 methyl transferase as a substrate for the cullin-based ubiquitin ligase (CRL4-Cdt2) demonstrate that this pathway plays a significant role in promoting cell cycle progression, specifically promoting G2 progression. This study investigate the effect of failure to degrade Set8 in S-phase of the cell cycle via CRL4-Cdt2 on gene expression.
Publication Title
CRL4(Cdt2) regulates cell proliferation and histone gene expression by targeting PR-Set7/Set8 for degradation.
Sample Metadata Fields
Cell line
View Samples- Rattus norvegicus
- 10 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Heat acclimation (AC) allows its faster re-induction following its decline. Constitutively preserved euchromatin state in hsp70 promoter during acclimation decline/regain pushed forward the hypothesis that acclimation decline is a period of dormant memory involving molecular program including epigenetic controlled transcriptional regulation leading to heat acclimation mediated cytoprotective memory.
Publication Title
Heat acclimation memory: do the kinetics of the deacclimated transcriptome predispose to rapid reacclimation and cytoprotection?
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 537 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The pretreatment karyotype of leukemic blasts is currently the key determinant in therapy decision-making in acute myeloid leukemia (AML). However, approximately fifty percent of AML patients, often carrying a normal karyotype, are currently unclassifiable based these established methods. Gene expression profiling has proven to be valuable for risk stratification of AML.
Publication Title
Prediction of molecular subtypes in acute myeloid leukemia based on gene expression profiling.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 79 Downloadable Samples
Illumina HiSeq 2000
Description
Background: Neuroblastoma is the most common extracranial solid tumor in childhood. The vast majority of stage M patients present with disseminated tumor cells (DTCs) in the bone marrow (BM). Although these cells represent a major obstacle in the treatment of neuroblastoma patients, their transcriptomic profile was not intensively analyzed so far. Results: RNA-Seq of stage M primary tumors, enriched BM-derived DTCs and the corresponding non-tumor mononuclear cells (MNCs) revealed that DTCs largely retained the gene expression signature of tumors. However, we identified 322 genes that were differentially expressed (q < 0.001, |log2FC|>2). Particularly genes encoded by mitochondrial DNA were highly up-regulated in DTCs, whereas e.g. genes involved in angiogenesis were down-regulated. Furthermore, 224 genes were highly expressed in DTCs and only slightly, if at all, in MNCs (q < 8x10-75 log2FC > 6). Interestingly, we found that the gene expression profiles of diagnostic DTCs largely resembled those of relapse DTCs with only 113 differentially expressed genes under relaxed cut-offs (q < 0.01, |log2FC| > 0.5). Notably, relapse DTCs showed a positional enrichment of 31 down-regulated genes encoded by chromosome 19, including five tumor suppressor genes (SIRT6, PUMA, STK11, CADM4 and GLTSCR2). Conclusion: This first RNA-Seq analysis of DTCs from neuroblastoma patients revealed their unique expression profile in comparison to the corresponding MNCs and tumor samples, and, interestingly, also expression differences between diagnostic and relapse DTCs preferentially affecting chromosome 19. As these alterations might be associated with treatment failure and disease relapse, they should be considered for further functional studies. Overall design: Tumor (n=16), bone marrow-derived disseminated tumor cells (n=42) and corresponding bone marrow-derived non-tumor cells (n=28) of stage M neuroblastoma patients were used for RNA-Seq
Publication Title
Neuroblastoma cells undergo transcriptomic alterations upon dissemination into the bone marrow and subsequent tumor progression.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 86 Downloadable Samples
- Illumina HiSeq 4000
Description
CD34+ cord blood hematopoietic progenitors were expanded in vitro as previously described (Balan et al., J Immunol, 2014) and then differentiated on a mixed feeder layer of OP9 cells expressing or not the Notch ligand Delta-like 1, with FLT3-L, TPO and IL-7. At the end of the cultures, single live Lin- HLA-DR+ cells were index sorted in 96-well plates containing lysis buffer, and snap frozen. Four putative cell types were sorted according to their expression patterns of key combinations of cell surface markers: putative pDCs, putative cDC1s, putative pre-cDC2s and putative cDC2s. Single cell RNA-sequencing libraries were subsequently generated for 90 single cells and 6 control wells using an adaptation of Smart-Seq2 (Villani et al., Science, 2017). Cells were sequenced at a depth of 1-3M reads/cell. Overall design: A total of 90 single cells and 6 controls from one culture were processed using a protocol adapted from Smart-Seq2 protocol (Villani et al., Science, 2017), which allows for the generation of full-length single cell cDNA, and sequencing libraries were generated using Illumina Nextera XT DNA library preparation kit. A few samples (10) were profiled but excluded from the processed data since they were either bulk (5) or blank (1) control samples or excluded due to QC (4). Therefore, there are 86 samples included here.
Publication Title
Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 55 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
MiRNAs are essential mediators of many biological processes. The aim of this study was to investigate the dynamics of miRNA-mRNA regulatory networks during exercise and subsequent recovery period.
Publication Title
Dynamically regulated miRNA-mRNA networks revealed by exercise.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Using a transcriptomics approach we explored the mechanism(s) of synergy observed between CDKI-73 and fludarabine in primary CLL cells. The cytotoxic effects of CDKI-73 were associated with transcriptional inhibition of cdk9 target genes including MCL1 and XIAP. In contrast, fludarabine induced the transcription of these genes, an effect that was reversed by the combination of CDKI-73 and fludarabine.
Publication Title
A novel Cdk9 inhibitor preferentially targets tumor cells and synergizes with fludarabine.
Sample Metadata Fields
Specimen part, Treatment
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