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accession-icon GSE69408
Expression data from human HSPCs
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Aging within the human hematopoietic system associates with increased incidence of anemia and myeloid neoplasms, decreased bone marrow (BM) cellularity and reduced adaptive immune responses. Similar phenotypes have been observed in mice and shown, at least in part, to involve hematopoietic stem cells (HSCs). However, evidence supporting such an association within human hematopoiesis is still sparse and prompted us to detail characteristics of human hematopoietic stem and progenitor cells throughout ontogeny.

Publication Title

Human and Murine Hematopoietic Stem Cell Aging Is Associated with Functional Impairments and Intrinsic Megakaryocytic/Erythroid Bias.

Sample Metadata Fields

Specimen part

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accession-icon GSE69675
Functional investigation of miRNAs by characterization of SH-SY5Y cells overexpressing wild type or mutant miRNA genes
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Genome wide mRNA and miRNA profiling was performed in SH-SY5Y cells stably overexpressing wild type or mutant MIR204 or MIR618. Mutants came from a large scale genetic screening of brain expressed miRNA genes in patients with schizophrenia or idiopathic generalized epilepsy and in control individuals. Based on enrichment of the variants with the schizophrenic or epileptic phenotype and based on impact prediction, two variants, one near MIR204 (rs7861254) and one in MIR618 (rs2682818) were selected for functional validation. Genome wide profiling of mRNA (micro-array) and mature miRNAs (small RNA sequencing, submitted to SRA) was performed in the created stable cells to assess the effect of the variants and to investigate the function of these miRNA genes.

Publication Title

Schizophrenia-Associated MIR204 Regulates Noncoding RNAs and Affects Neurotransmitter and Ion Channel Gene Sets.

Sample Metadata Fields

Cell line

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accession-icon GSE7302
Expression data from bone marrow hematopoietic stem cell CD34 Flt3 subfractions
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Lineage negativ Sca1+ Kit+ bone marrow cells (containing putative hematopoietic stem cells) subfractionation based on CD34 and FLT3 identifies three functionally destinc subpopulations (LSKCD34-FLT3-, LSKCD34+FLT3- & LSKCD34+FLT3+).

Publication Title

Molecular evidence for hierarchical transcriptional lineage priming in fetal and adult stem cells and multipotent progenitors.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP141364
Genome-wide transcriptional analysis of human patterned induced neurons (hpiNs)
  • organism-icon Homo sapiens
  • sample-icon 412 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2500

Description

We report that combining NGN2 programming with SMAD and WNT inhibition generates patterned induced neurons (hpiNs).Transcriptional analyses showed that hpiN cultures contained cells along a developmental continuumranging from poorly differentiated neuronal progenitors to well-differentiated, excitatory glutamatergic neurons. The most differentiated neurons could be identified using a CAMK2A::GFP reporter gene. Overall design: RNA sequencing analysis (population and single cell) over hpiNs differentiation time (D0 through D49 after induction). Two independent iPS lines, 9 time points, three replicates each.

Publication Title

Combining NGN2 Programming with Developmental Patterning Generates Human Excitatory Neurons with NMDAR-Mediated Synaptic Transmission.

Sample Metadata Fields

Specimen part, Disease, Cell line, Subject, Time

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accession-icon SRP065849
A novel RAF kinase inhibitor with DFG-out binding mode: high efficacy in BRAF-mutant tumor xenograft models in the absence of normal tissue hyperproliferation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1000

Description

Purpose: Seek for differential gene expression in vemurafenib-resistant A375 tumors vs. untreated controls to provide a rationale for resistance mechanism Methods: mRNA profiles of vemurafenib-resistant A375 tumors and untreated control tumors were generated by transcriptome sequencing of A375 melanoma bearing mice. Since our xenograft samples contain a mixture of human and mouse RNAs we mapped RNASeq reads against a hybrid human/mouse genome. We than removed reads of potential mouse origin by taking only reads that map uniquely to human chromosomes. On average 23% of reads were removed as potential mouse reads. We than took the remaining reads (on average 77% per sample) to determine the gene expression levels for each sample. Normalized expression levels of 5 resistant samples were compared to 4 untreated control samples to detect differnetially regulated genes which may contribute to vemurfenib resistance Results: Expression levels of several genes were consistently altered in all resistant samples. Expression of e.g. genes encoding SPRY2, SPRY4, DUSP6, CCND1, PIK3R3, FGFR1, EPHA4, MCL1, and IGF1R was down-regulated, whereas expression of PDGFC, VEGFC, ABCB9 and KITLG was increased. Conclusions: Our study reports several differentially expressed genes which may contribute to vemurafenib resistance in A375 tumor bearing mice Overall design: RNA sequencing of genes expressed in A375 tumors bearing mice treated with vemurafenib until in vivo resistance appeared vs. untreated A375 tumors

Publication Title

A Novel RAF Kinase Inhibitor with DFG-Out-Binding Mode: High Efficacy in BRAF-Mutant Tumor Xenograft Models in the Absence of Normal Tissue Hyperproliferation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE109304
Efficacy of the highly selective focal adhesion kinase inhibitor BI 853520 in adenocarcinoma xenograft models is linked to a mesenchymal tumor phenotype
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: Brainarray Version 16.1.0, HsEx10stv2_Hs_REFSEQ (huex10st), Affymetrix Multispecies miRNA-3 Array (mirna3)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Efficacy of the highly selective focal adhesion kinase inhibitor BI 853520 in adenocarcinoma xenograft models is linked to a mesenchymal tumor phenotype.

Sample Metadata Fields

Cell line

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accession-icon GSE109302
Efficacy of the highly selective focal adhesion kinase inhibitor BI 853520 in adenocarcinoma xenograft models is linked to a mesenchymal tumor phenotype [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: Brainarray Version 16.1.0, HsEx10stv2_Hs_REFSEQ (huex10st)

Description

mRNA expression profiling of untreated CDX samples and correlation with sensitivity data derived from treatments with BI 853520.

Publication Title

Efficacy of the highly selective focal adhesion kinase inhibitor BI 853520 in adenocarcinoma xenograft models is linked to a mesenchymal tumor phenotype.

Sample Metadata Fields

Cell line

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accession-icon GSE54285
Analysis of impact of Toxoplasma effector MAF1 during Type II infection in WT MEFs and during Type I infection in WT and MAVS KO MEFs
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The goals of the microarray experiment were to determine the role of MAF1, the Toxoplasma gondii mediator of host mitochondrial association, on host cell gene expression by comparing infection of WT cells with Type II and Type II:MAF1 parasites. We also explored the role of MAF1 on host cell gene expression by comparing profiles of WT and MAVS KO MEFs infected with Type I and Type Imaf1KO parasites.

Publication Title

Toxoplasma effector MAF1 mediates recruitment of host mitochondria and impacts the host response.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP053363
Analysis of wildtype and Xbp1-deficient hematopoietic progenitor cell transcriptomes
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: The goals of this study are to assess the transcriptional networks governed by the transcription factor XBP1 in lineage-uncommitted myeloid progenitors and in eosinophil-committed myeloid progenitors. Methods: mRNA profiles of FACS-purified granulocyte-macrophage progenitors (GMPs) from XBP1 flox/flox or XBP1 flox/flox Vav1-Cre mice were generated by sequencing, in biological triplicates, using an Illumina HiSeq2000 sequencer. The Illumina HiSeq2000 sequencer was also used to obtain mRNA profiles of FACS-purified GMPs transduced with the transcription factor GATA2, resorted 36 hours post-transduction, and cultured for 48 hours, again in biological triplicates per genotype. Sequence data from Illumina''s HiSeq2000 sequencer were demuxed to generate FASTQ files for each sample using Illumina''s CASAVA pipeline (version 1.8.2). The reads that passed illumina''s quality/purity filter were aligned to the mouse genome (Illumina iGenomes mm9 build) using STAR aligner (version 2.3.0) with default parameters. The resulting SAM alignment files were then converted to the BAM file format, sorted and indexed using SAMtools (version 0.1.14).  Mapped reads were counted with the python module HTSeq, and differential expression analyzed with the Bioconductor package DESeq. Results and conclusions: By monitoring XBP1-dependent transcriptional changes at different stages of eosinophil development, we demonstrated that classical XBP1-dependent networks such as glycosylation, chaperone production, and ERAD were downregulated in GMPs prior to eosinophil commitment, though there were no major defects in differentiation or survival. However, mRNA profiling clearly demonstrated that XBP1 deficiency causes a state of cellular stress upon eosinophil commitment. The eosinophil transcriptome was largely intact, and most dysregulated genes were associated with ER stress. However key granule protein genes required for eosinophil development such as Prg2 and Epx were selectively downregulated only after eosinophil commitment, but not in pre-committed myeloid progenitors, and this correlated with Ingenuity Pathway Analysis predictions that GATA1 function was impaired. This study documents the interplay between cellular stress and the ability to maintain key facets of cellular differentiation. Overall design: Analyses of XBP1-dependent transcriptional networks at two stages of eosinophil development.

Publication Title

The transcription factor XBP1 is selectively required for eosinophil differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21728
Global analysis of the impact of environmental perturbation on cis-regulation of gene expression
  • organism-icon Homo sapiens
  • sample-icon 237 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Global analysis of the impact of environmental perturbation on cis-regulation of gene expression.

Sample Metadata Fields

Sex, Specimen part, Time

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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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