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SRP162552
Homo sapiens
8 Downloadable Samples
Illumina HiSeq 3000
Description
Bulk RNA Sequencing of Healthy Bone Marrow Mononuclear Cells Overall design: Using standard operating procedures, mononuclear cells from bone marrow aspirates were isolated using Ficoll density gradient separation and cryopreserved in 90% FBS/ 10% DMSO for storage in liquid nitrogen. RNA was harvested from thawed cell vials of BMMCs using AllPrep kits (QIAGEN). Libraries were prepared using TruSeq Stranded Total RNA Sample Preparation Kit (Illumina) with 1ug of RNA input. Sequencing was performed by paired-end 75 nt on Illumina HiSeq 3000.
Publication Title
Human bone marrow assessment by single-cell RNA sequencing, mass cytometry, and flow cytometry.
Sample Metadata Fields
Age, Specimen part, Subject
View Samples- Homo sapiens
- 30 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
We analyzed via microarray gene expression profiles in de-identified, clinically annotated samples from Ficoll-purified peripheral blood samples from 10 acute myeloid leukemia (AML) patients in remission and 10 healthy donors collected under IRB-approved protocols.
Publication Title
Impaired B cell immunity in acute myeloid leukemia patients after chemotherapy.
Sample Metadata Fields
Sex, Specimen part, Disease, Disease stage, Subject
View Samples- Caenorhabditis elegans
- 12 Downloadable Samples
- Illumina HiSeq 2000
Description
In C. elegans, ablation of germline stem cells (GSCs) extends lifespan, but also increases fat accumulation and alters lipid metabolism, raising the intriguing question of how these effects might be related. Here we show that a lack of GSCs results in a broad transcriptional reprogramming, in which the conserved detoxification regulator SKN-1/Nrf increases stress resistance, proteasome activity, and longevity. SKN-1 also activates diverse lipid metabolism genes and reduces fat storage, thereby alleviating the increased fat accumulation caused by GSC absence. Surprisingly, SKN-1 is activated by signals from this fat, which appears to derive from unconsumed yolk that was produced for reproduction. We conclude that SKN-1 plays a direct role in maintaining lipid homeostasis, in which it is activated by lipids. This SKN-1 function may explain the importance of mammalian Nrf proteins in fatty liver disease, and suggests that particular endogenous or dietary lipids might promote health through SKN-1/Nrf. Overall design: Samples were prepared from ~5,000 synchronized, L1 arrested day-one adult animals cultured at 25°C. Worms were synchronized by sodium hypochlorite (bleach) treatment, as previously described (Porta-de-la-Riva et al., 2012). Bleach solution (9 mL ddH2O; 1 mL 1 N NaOH; 4 mL Clorox bleach) was freshly prepared before each experiment. Worms were bleached for 5 minutes, washed 5x in M9, and arrested at the L1 stage at 25°C in M9 containing 10 µg/mL cholesterol. Feeding RNAi was started at the L1 stage. This approach only partially reduces skn-1 function, but allows analysis of larger samples than would be feasible with skn-1 mutants, which are sterile (Bowerman et al., 1992). Because these animals were not treated with FUdR, the WT adults contained an intact germline and eggs. As is explained in the Results section, we therefore confined our analysis to genes that were overrepresented in glp-1(ts) animals, which lack eggs and most of the germline, and established a high-confidence cutoff for genes that were upregulated by GSC absence as opposed to simply being expressed specifically in somatic tissues. RNA was extracted using the same protocol for qRT-PCR samples. Purified RNA samples were DNase treated and assigned a RIN quality score using a Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA). Only matched samples with high RIN scores were sent for sequencing. Single read 50 bp RNA sequencing with poly(A) enrichment was performed at the Dana-Farber Cancer Institute Center for Computational Biology using a HiSeq 2000 (Illumina, San Diego, CA). FASTQ output files were aligned to the WBcel235 (Feb 2014) C. elegans reference genome using STAR (Dobin et al., 2013). These files have been deposited at the Gene Expression Omnibus (GEO) with the accession number GSE63075. Samples averaged 75% mapping of sequence reads to the reference genome. Differential expression analysis was performed using a custom R and Bioconductor RNA-seq pipeline (http://bioinf.wehi.edu.au/RNAseqCaseStudy/) (Gentleman et al., 2004; Anders et al., 2013; R Core Team, 2014). Quantification of mapped reads in the aligned SAM output files was performed using featureCounts, part of the Subread package (Liao et al., 2013, 2014). We filtered out transcripts that didn't have at least one count per million reads in at least two samples. Quantile normalization and estimation of the mean-variance relationship of the log-counts was performed by voom (Law et al., 2014). Linear model fitting, empirical Bayes analysis and differential expression analysis was then conducted using limma (Smyth, 2005). To identify genes that are upregulated in a SKN-1-dependent manner by GSC loss, we sought genes for which glp-1(ts) expression was higher than WT, and for which glp-1(ts);skn-1(-) expression was reduced relative to glp-1(ts). To test for this pattern, if a gene's expression change was higher in the comparison of glp-1(ts) vs. WT and lower in the comparison of glp-1(ts);skn-1(-) vs. glp-1(ts), then we calculated the minimum (in absolute value) of the t-statistics from these two comparisons, and assessed the significance of this statistic by comparing to a null distribution derived by applying this procedure to randomly generated t-statistics. We corrected for multiple testing in this and the differential expression analysis using the false discovery rate (FDR) (Benjamini and Hochberg, 1995). Heatmaps were generated using heatmap.2 in the gplots package (Warnes et al., 2014). Functional annotations and phenotypes were obtained from Wormbase build WS246. SKN-1 transcription factor binding site analysis of hits was conducted with biomaRt, GenomicFeatures, JASPAR, MotifDb, motifStack, MotIV, and Rsamtools (Sandelin et al., 2004; Durinck et al., 2005; Durinck et al., 2009; Lawrence et al., 2013; Ou et al., 2013; Mercier and Gottardo, 2014; Shannon, 2014). JASPAR analysis was performed with the SKN-1 matrix MA0547.1 using 2 kb upstream sequences obtained from Ensembl WBcel235 (Staab et al., 2013). modENCODE SKN-1::GFP ChIP-seq analysis of hits was performed using biomaRt, ChIPpeakAnno, IRanges, and multtest (Durinck et al., 2005; Durinck et al., 2009; Gerstein et al., 2010; Zhu et al., 2010; Niu et al., 2011; Lawrence et al., 2013). SKN-1::GFP ChIP-seq peaks were generated by Michael Snyder's lab. We used the peak data generated from the first 3 larval stages: L1 (modENCODE_2622; GSE25810), L2 (modENCODE_3369), and L3 (modENCODE_3838; GSE48710). Human ortholog matching was performed using Wormbase, Ensembl, and OrthoList (Shaye and Greenwald, 2011). Gene lists were evaluated for functional classification and statistical overrepresentation with Database for Annotation, Visualization and Integrated Discovery (DAVID) version 6.7 (Dennis et al., 2003).
Publication Title
Lipid-mediated regulation of SKN-1/Nrf in response to germ cell absence.
Sample Metadata Fields
Cell line, Subject
View Samples- Mus musculus
- 63 Downloadable Samples
- Illumina HiSeq 2500
Description
A subset of GC B cells that have stopped cycling, upregulated CD38 and downregulated BCL-6 is functionally verified as GC-derived memory B cell precursors (GC-MPs). RNA-seq analyses of the transcriptome were used to probe the developmental trajectory of these cells and their responses to IL-9, a cytokine that is found to drive the memory development from the GC. Overall design: Differential gene expression analyses between GC-MP cells and regular GC B cells in G1 phase (GC-MPP cells); Gene expression profiling of different GC subsets in comparison to memory B cells and plasma cells; acute effects of in vivo IL-9 or anti-IL-9 treatment on GC-MP or GC-MPP cells.
Publication Title
Germinal-center development of memory B cells driven by IL-9 from follicular helper T cells.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 13 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Immune thrombocytopenia (ITP) is an autoimmune disease where platelets are destroyed prematurely. In the majority of children the disease resolves but in some it becomes chronic. To investigate whether the two forms of the disease are similar or separate entities we performed DNA microarray analysis of T-cells from newly diagnosed children and children with chronic ITP. We found complete separation of the expression files between the two forms of the disease. Furthermore, the gene expression of several cytokines differed between the two forms of the disease. This was also reflected in plasma with increased levels of IL-16 and TWEAK and lower levels of IL-4 in newly diagnosed compared with chronic ITP. Thus, our data indicate that the two forms of the disease may be separate entities.
Publication Title
Differences in gene expression and cytokine levels between newly diagnosed and chronic pediatric ITP.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Mus musculus, Homo sapiens
- 9 Downloadable Samples
Illumina MouseRef-8 v2.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Brain iron accumulation affects myelin-related molecular systems implicated in a rare neurogenetic disease family with neuropsychiatric features.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples- Homo sapiens
- 9 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Differential gene expression is assessed in substantia nigra and basal ganglia of neurodegenertion with brain iron accumulation cases (BIA) compared to matched normal controls (c).
Publication Title
Brain iron accumulation affects myelin-related molecular systems implicated in a rare neurogenetic disease family with neuropsychiatric features.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Clear cell renal cell carcinoma (ccRCC), the major histotype of cancer derived from kidney, is lack of robust prognostic and/or predictive biomarker and powerful therapeutic target. We previously identified that follistatin-like protein 1 (FSTL1) was significantly down-regulated in ccRCC at the transcription level. In the present study, we characterized, for the first time, that FSTL1 immunostaining was selectively positive in the cytoplasm of distal convoluted tubules. The expression of FSTL1 was significantly lower in ccRCC tissues than in adjacent renal tissues (P<0.001), as measured using immunohistochemistry in 69 patients with paired specimens, and lower in most ccRCC cell lines than in human embryonic kidney cells, as measured by quantitative RT-PCR. Multivariate Cox regression analysis in 89 patients with follow-up data showed that FSTL1 expression in tumors conferred a favorable postoperative prognosis independently, with a hazard ratio of 0.325 (95% confidence interval: 0.118-0.894). FSTL1 knockdown promoted anchorage independent growth, mobility, and invasion of ccRCC cell lines and promoted cell cycle from G0/G1 phases into S phase; while over-expression of FSTL1 significantly attenuated cell migration ability in ACHN cells. FSTL1 knockdown resulted in decreased expression of E-cadherin and increased expression of N-cadherin in ccRCC cell lines significantly, indicating that FSTL1 may attenuate epithelial to mesenchymal transition in ccRCC. Microarray assay indicated that NF-B and HIF-2 pathways were activated following FSTL1 knockdown in ccRCC cells. Our study indicates that FSTL1 serves as a tumor suppressor in ccRCC, up-regulation of FSTL1 in cancer cells may be a candidate target therapy for advanced ccRCC.
Publication Title
Follistatin-like protein 1 plays a tumor suppressor role in clear-cell renal cell carcinoma.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Xenopus laevis
- 4 Downloadable Samples
- Affymetrix Xenopus laevis Genome Array (xenopuslaevis)
Description
RNA localization is a fundamental mechanism for controlling the spatial regulation of protein synthesis within cells, as well as differential cell fates during early development. Localized RNAs are known to control critical aspects of early Xenopus development, but few have been studied in detail. We set out to identify novel transcripts localized to the vegetal cortex of Xenopus oocytes, one of the best-studied examples of RNA localization. We identified over 400 transcripts enriched in the vegetal cortex, compared with whole oocytes. Included were many novel genes, as well as known genes not thought to undergo RNA localization. These data suggest that the role of RNA localization in early development is extensive and will provide a resource for identifying candidate regulatory genes for early developmental processes.
Publication Title
Identification of germ plasm-associated transcripts by microarray analysis of Xenopus vegetal cortex RNA.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 40 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The sense of hearing depends on the faithful transmission of sound information from the ear to the brain by spiral ganglion (SG) neurons. However, how SG neurons develop the connections and properties that underlie auditory processing is largely unknown.
Publication Title
Developmental profiling of spiral ganglion neurons reveals insights into auditory circuit assembly.
Sample Metadata Fields
Specimen part
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