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accession-icon SRP119762
Opposing roles of dendritic cells subsets in experimental GN
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Classical dendritic cells (DCs) are key players at the interface between innate and adaptive immunity. In the kidney exist 2 major subsets of cDCs: CD11b+ cDCs and CD103+ cDCs. We investigated their function in the most widely used model of experimental glomerulonephritis (GN) in mice: nephrotoxic nephritis (NTN). Consistent with a role for cDCs in nephrotoxic nephritis, depletion of ZBTB46+ cells (all cDCs) attenuated kidney injury, while deficiency of the CD103+ subset of cDCs accelerated injury via a mechanism that involved increased neutrophils. This RNAseq was performed to analyze transcriptional changes in FACS-sorted renal CD11b+ and CD103+ cDCs under healthy conditions and at day 7 of NTN to reveal why both subsets have different functions in GN. Overall design: The study was performed with total of 6 mice (wildtype, male, age 8-12 weeks). 3 mice were sacrificed in the healthy situation, 3 mice were sacrificed 7 days after injection of the nephrotoxic nephritis antiserum (NTN). From each mouse CD11b+ and CD103+ DCs were sorted, resulting in 4 experimental conditions with 3 biological replicates each: CD103_healthy, CD11b_healthy, CD103_NTN, CD11b_NTN.

Publication Title

Opposing Roles of Dendritic Cell Subsets in Experimental GN.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

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accession-icon GSE58351
Gene expression in intestinal stem cells
  • organism-icon Drosophila melanogaster
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Genetic Manipulation to increase number of ISC (intestinal stem cells) and gene expression profiling to identify ISC regulators

Publication Title

Gene expression profiling identifies the zinc-finger protein Charlatan as a regulator of intestinal stem cells in Drosophila.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE77973
Expression data from adult mouse brain regions following prenatal infection
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-Wide Transcriptional Profiling and Structural Magnetic Resonance Imaging in the Maternal Immune Activation Model of Neurodevelopmental Disorders.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE52992
Rsk2 controls synovial fibroblast hyperplasia and the course of arthritis.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To understand differences in the pathogenesis of synovial hyperplasia during TNF-induced arthritis, we compared the global gene expression of hTNFtg and hTNFtg;Rsk2-/y primary synovial fibroblasts.

Publication Title

Rsk2 controls synovial fibroblast hyperplasia and the course of arthritis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE23301
Quantitative transcriptomic analysis of abscisic acid-induced and reactive oxygen species-dependent expression changes and proteomic profiling in Arabidopsis suspension cells
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Early rapid changes in response to the phytohormone abscisic acid (ABA) have been observed at the transcript level, but little is known how these transcript changes translate to changes in protein abundance under the same conditions. Here we have performed a global quantitative analysis of transcript and protein changes in Arabidopsis suspension cells in response to ABA using microarrays and quantitative proteomics. In summary, 3494 transcripts and 50 proteins were significantly regulated by ABA over a treatment period of 2024 h. Abscisic acid also caused a rapid and strong increase in production of extracellular reactive oxygen species (ROS) with an average half-rise time of 33 sec. A subset of ABA-regulated transcripts were differentially regulated in the presence of the ROS scavenger dimethylthiourea (DMTU) as compared with ABA alone, suggesting a role for ROS in the regulation of these ABA-induced genes. Transcript changes showed an overall poor correlation to protein changes (r = 0.66). Only a subset of genes was regulated at the transcript and protein level, including known ABA marker genes. We furthermore identified ABA regulation of proteins that function in a branch of glucosinolate catabolism previously not associated with ABA signaling. The discovery of genes that were differentially regulated at the transcript and at the protein level emphasizes the strength of our combined approach. In summary, our dataset not only expands previous studies on gene and protein regulation in response to ABA, but rather uncovers unique aspects of the ABA regulon and gives rise to additional mechanisms regulated by ABA.

Publication Title

Quantitative transcriptomic analysis of abscisic acid-induced and reactive oxygen species-dependent expression changes and proteomic profiling in Arabidopsis suspension cells.

Sample Metadata Fields

Age, Specimen part, Cell line, Time

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accession-icon GSE21105
Expression profiling of p53 wildtype inducible DLD-1 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This is an initial experiment which was performed in order to identify novel transcriptional targets of the tumor suppressor p53

Publication Title

p53 activates the PANK1/miRNA-107 gene leading to downregulation of CDK6 and p130 cell cycle proteins.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE62253
Molecular mechanism of silver nanoparticles in human intestinal cell line Caco-2
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Silver nanoparticles are used in consumer products like food contact materials, drinking water technologies and supplements, due to their antimicrobial properties. This leads to an oral uptake and exposure of intestinal cells. In contrast to other studies we found no apoptosis induction by surfactant coated silver nanoparticles in the intestinal cell model Caco-2 in a previous study, although the particles induced oxidative stress, morphological changes and cell death. Therefore, this study aimed to analyze the molecular mechanism of silver nanoparticles in Caco-2 cells. We used global gene expression profiling in differentiated Caco-2 cells, supported by verification of the microarray data by quantitative real time RT-PCR and microscopic analysis, impedance measurements and assays for apoptosis and oxidative stress. Our results revealed that the majority of surfactant coated silver nanoparticles are not taken up into differentiated Caco-2 cells. and probably affect the cells by outside-in signaling. They induce oxidative stress and have an influence on canonical pathways related to FAK, ILK, ERK, MAPK, integrins and adherence and tight junctions, thereby inducing transcription factors like AP1, NFB and NRF2, which mediate cellular reactions in response to oxidative stress and metal ions and induce changes in the cytoskeleton and cell-cell and cell-matrix contacts. The present data confirm the absence of apoptotic cell death. Non-apoptotic, necrotic cell death, especially in the intestine, can cause inflammation and influence the mucosal immune response.

Publication Title

Molecular mechanism of silver nanoparticles in human intestinal cells.

Sample Metadata Fields

Cell line

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accession-icon GSE13608
Skeletal muscle biopsies of patients with myotonic dystrophy (DM) and non-DM neuro-muscular disorders
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Skeletal muscle biopsies from DM1, DM2, idiopathic DM (DMx), and non-DM NMD patients were compared to those from normal individuals, with focus on MEF2 and MEF2-related genes.

Publication Title

Altered MEF2 isoforms in myotonic dystrophy and other neuromuscular disorders.

Sample Metadata Fields

Sex

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accession-icon GSE19681
Global gene expression profile of primary human leukemic blasts
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The goal of this study is to define the global gene expression profile of primary leukemic blasts from patients with different forms of myeloid leukemia and different FAB subtypes.

Publication Title

miR-125b-2 is a potential oncomiR on human chromosome 21 in megakaryoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE19680
Identification of miR-125b-2 target genes
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The goal of this study is to define miR-125b-2 target genes in the hematopoietic system by genetic alteration of miR-125b expression levels.

Publication Title

miR-125b-2 is a potential oncomiR on human chromosome 21 in megakaryoblastic leukemia.

Sample Metadata Fields

Specimen part, Cell line

View Samples

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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