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accession-icon GSE51626
Role of NPR1 in SA mediated transcription
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Affymetrix expression analysis was used to validate the role of NPR1 in SA mediated transcription.

Publication Title

Global nucleosome positioning regulates salicylic acid mediated transcription in Arabidopsis thaliana.

Sample Metadata Fields

Specimen part

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accession-icon SRP127586
Single-cell RNA-seq reveals differentiation of bona fide human pDCs and cDC1s in cultures of cord blood CD34+ progenitors, and a newly identified terminal differentiation step of cDC1s
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP149899
Analysis of single-cell RNA-seq data from human PBMCs and from in vitro cultures of human cord blood CD34+ progenitors encompassing different DC types
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

For both PBMC and cells from the in vitro cultures, RNA purification and library generation was performed using the Chromium Single Cell Controller apparatus and associated protocols (10X Genomics). Libraries were sequenced by 75-bp single-end reading on a NextSeq500 sequencer (Illumina). Reads were aligned on the GRCh38 human genome assembly. Data analysis was performed using the R software package Seurat (https://github.com/satijalab/seurat) Overall design: Single cell RNA-seq data were generated on the 10X emulsion platform (10X Genomics, Pleasanton, CA) according to the manufacturer's instructions. NextSeq data from the Chromium platform were processed using CellRanger v1.3.1, and subsequent normalization, QC, filtering, and differential gene expression analysis was performed in R using Seurat v1.4.0.16.

Publication Title

Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE30201
Expression data of ribosomal proteins from sorted hematopoietic stems cells from patients with low risk MDS.
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A role for reduced ribosomal protein gene dosage in both DBA and 5q- MDS suggests that other forms of MDS might also involve altered expression of ribosomal protein genes.

Publication Title

Reduced ribosomal protein gene dosage and p53 activation in low-risk myelodysplastic syndrome.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE28889
Differentially expressed genes and transcript isoforms in mouse NSCs expressing miR-128
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We identify a brain-specific microRNAmiR-128that represses Nonsense Mediated mRNA Decay (NMD) and thereby controls batteries of transcripts in neural cells. miR-128 represses NMD by targeting the RNA helicase UPF1 and the exon-junction complex core component MLN51. We employed exon arrays for this analysis, as this platform detects expression levels of individual exons and thus allows detection of not only differentially expressed transcripts (DETs), but also alternative isoform transcripts (AITs). The latter is particularly relevant to our study because alternative RNA processing events (e.g., RNA splicing, alternative promoter usage, and alternative polyadenylation-site usage) often place a translation termination codon in a premature context and thereby trigger NMD.

Publication Title

Identification of a microRNA that activates gene expression by repressing nonsense-mediated RNA decay.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE19234
Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival.
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Although remission rates for metastatic melanoma are generally very poor, some patients can survive for prolonged periods following metastasis. We used gene expression profiling, mitotic index (MI), and quantification of tumor infiltrating leukocytes (TILs) and CD3+ cells in metastatic lesions to search for a molecular basis for this observation and to develop improved methods for predicting patient survival. We identified a group of 266 genes associated with postrecurrence survival. Genes positively associated with survival were predominantly immune response related (e.g., ICOS, CD3d, ZAP70, TRAT1, TARP, GZMK, LCK, CD2, CXCL13, CCL19, CCR7, VCAM1) while genes negatively associated with survival were cell proliferation related (e.g., PDE4D, CDK2, GREF1, NUSAP1, SPC24).

Publication Title

Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival.

Sample Metadata Fields

Sex, Age

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accession-icon SRP007417
GSE30400: RNA-Seq in GM12878 (ENCODE Project)
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

.

Publication Title

AlleleSeq: analysis of allele-specific expression and binding in a network framework.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19303
Changes of myocardial gene expression and protein composition in patients with dilated cardiomyopathy after immunoadsorption with subsequent immunoglobulin substitution
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Immunoadsorption with subsequent immunoglobulin substitution (IA/IgG) represents a therapeutic approach for patients with dilated cardiomyopathy (DCM). Here, we studied which molecular cardiac alterations are initiated after this treatment.

Publication Title

Changes of myocardial gene expression and protein composition in patients with dilated cardiomyopathy after immunoadsorption with subsequent immunoglobulin substitution.

Sample Metadata Fields

Sex, Age, Disease

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accession-icon SRP151120
RNA-seq profiling of patient-derived xenograft models in Urothelial Cancer
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To probe the tissue source (cancer cell VS stromal cell) of gene expression in the mixed tumor samples, we took advantage of a set of Urothelial Cancer patient-derived xenograft (PDX) models given that the transcriptome in these models is a mixture of human RNA (derived from cancer cells) and mouse RNA (derived from stromal cells). Overall design: The cohort includes 5 different patient-derived PDX models, 3 replicates for each model, and thus a total of 15 samples

Publication Title

EMT- and stroma-related gene expression and resistance to PD-1 blockade in urothelial cancer.

Sample Metadata Fields

Subject

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accession-icon SRP060636
Analysis of MOF under stress conditions
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

We analyzed the role of MOF in primary MEFs and differentiated podocytes in response to Adriamycin. Mof was deleted in MEFs using the Cre-ERT2 trasgene, while Mof was knockdown in podocytes using shRNA infection. Samples were treated with Adriamycin for 24 hours and gene expression changes analysed. Overall design: Analysis of gene expression changes upon Mof depletion in two cell lines, MEFs and podocytes, with and without Adriamycin

Publication Title

MOF maintains transcriptional programs regulating cellular stress response.

Sample Metadata Fields

No sample metadata fields

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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