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accession-icon GSE73658
Murine fibroblast-like synoviocytes: Control vs Ad-Epas1 infected
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Transcriptional profiling of mouse fibroblast-like synoviocytes (FLS) comparing FLS infected with empty adenovirus and Epas1 adenovirus. RNA was extracted from each FLS. We used microarrays to determine the effect of Epas1 overexpression on FLS and identifying the noble regulatory molecules during rheumatoid arthritic pathogenesis

Publication Title

Crosstalk between FLS and chondrocytes is regulated by HIF-2α-mediated cytokines in arthritis.

Sample Metadata Fields

Specimen part

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accession-icon GSE73301
Expression data from Arabidopsis before and after bacterial RNA infiltration
  • organism-icon Arabidopsis thaliana
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To analyze transcription in plants induced by total bacterial RNAs, we examined the transcriptomes of RNAs-treated plants at 0 and 6 h compared to those of control plants at the same time points.

Publication Title

Bacterial RNAs activate innate immunity in Arabidopsis.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE119747
Comparison of enteroendocrine cells and pancreatic -cells using gene expression profiling and insulin gene methylation
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

In this study, similarities between EECs and -cells were evaluated in detail. To obtain specific subtypes of EECs, cell sorting by flow cytometry was conducted from STC-1 cells (a heterogenous EEC line), and each single cell was cultured and passaged. Five EEC subtypes were established according to hormone expression, measured by quantitative RT-PCR and immunostaining: L, K, I, G and S cells expressing glucagon-like peptide-1, glucose-dependent insulinotropic polypeptide, cholecystokinin, gastrin and secretin, respectively.

Publication Title

Comparison of enteroendocrine cells and pancreatic β-cells using gene expression profiling and insulin gene methylation.

Sample Metadata Fields

Specimen part

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accession-icon SRP167093
Distinct Adaptive Mechanisms Drive Recovery from Aneuploidy Caused by Loss of the Ulp2 SUMO Protease [RNA-seq]
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In response to acute loss of the Ulp2 SUMO-specific protease, yeast become disomic for chromosome I (ChrI) and ChrXII. Here we report that ChrI disomy, which creates an adaptive advantage in part by increasing the dosage of the Ccr4 deadenylase, was eliminated by extended passaging. Loss of aneuploidy is often accompanied by mutations in essential SUMO-ligating enzymes, which reduced polySUMO-conjugate accumulation. The mRNA levels for almost all ribosomal proteins increases transiently upon initial loss of Ulp2, but elevated Ccr4 levels limit excess ribosome formation. Notably, extended passaging leads to increased levels of many small nucleolar RNAs (snoRNAs) involved in ribosome biogenesis, and higher dosage of three linked ChrXII snoRNA genes suppressed ChrXII disomy in ulp2? cells. Our data reveal that aneuploidy allows rapid adaptation to Ulp2 loss, but long-term adaptation restores euploidy. Cellular evolution restores homeostasis through countervailing mutations in SUMO-modification pathways and regulatory shifts in ribosome biogenesis. Overall design: In these comparisons, the ulp2? cells either carried a WT ULP2 plasmid or empty vector and were passaged for 50 or 500 generations. mRNA profiles of them were generated by sequencing, in triplicate, using Illumina HiSeq 2500 .

Publication Title

Distinct adaptive mechanisms drive recovery from aneuploidy caused by loss of the Ulp2 SUMO protease.

Sample Metadata Fields

Subject

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accession-icon GSE27568
Ubb Knockout Mouse Testis
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Analysis of Ubb knockout mouse testes at 7, 4, 21, and 28 dpp. Ubiquitin (Ub) is an essential protein found in all eukaryotic cells and plays important roles in a variety of cellular functions including germ cell development. Targeted disruption of the polyubiquitin gene Ubb results in male and female infertility in mice with germ cells arrested at meiotic prophase I.

Publication Title

Altered testicular gene expression patterns in mice lacking the polyubiquitin gene Ubb.

Sample Metadata Fields

Specimen part

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accession-icon SRP132719
Single cell RNA sequencing of multiple myeloma II
  • organism-icon Homo sapiens
  • sample-icon 167 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To investigate the relationship between genetic and transcriptional heterogeneity in a context of cancer progression, we devised a computational approach called HoneyBADGER to identify copy number variation and loss-of-heterozygosity in individual cells from single-cell RNA-sequencing data. By combining allele frequency and expression magnitude deviations, HoneyBADGER is able to infer the presence of subclone-specific alterations in individual cells and reconstruct subclonal architecture. Also HoneyBADGER to analyze single cells from a progressive multiple myeloma (MM) patient to identify major genetic subclones that exhibit distinct transcriptional signatures relevant to cancer progression. Overall design: We performed single cell RNA sequencing (RNA-seq) for multiple myeloma from the bone marrow and/or extramedullary sites from 3 patients. Data contain 173 and 1,339 single-cell RNA-seq from Fluidigm C1 and 10x Genomics respectively.

Publication Title

Alterations in the Transcriptional Programs of Myeloma Cells and the Microenvironment during Extramedullary Progression Affect Proliferation and Immune Evasion.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE43748
Transcriptional profiles of psychostimulant reinforcement in rats
  • organism-icon Rattus norvegicus
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Drug-induced alterations in transcriptional regulation play a central role in establishing the persistent neuroplasticities that occur during drug addiction. Additionally, changes in gene expression associated with drug administration provide valuable insight into the molecular basis of drug abuse. The molecular mechanisms that underlie susceptibility to psychostimulant addiction remain unknown. Identifying the common gene transcriptional responses to psychostimulants can provide a mechanistic insight to elucidate the molecular nature of drug dependence.

Publication Title

Neuronal development genes are key elements mediating the reinforcing effects of methamphetamine, amphetamine, and methylphenidate.

Sample Metadata Fields

Specimen part

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accession-icon GSE86072
Transcriptional regulatory networks underlying reprogramming of spermatogonial stem cells (SSCs) to multipotent stem cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

We present key transcription factors (TFs) and transcriptional regulatory networks (TRNs) delineating how they control cellular processes related to the SSC reprogramming.

Publication Title

Transcriptional regulatory networks underlying the reprogramming of spermatogonial stem cells to multipotent stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE8699
Characterization of the gene expression changes associated with melanoma-endothelial cell communication
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Average life expectancy for patients with metastatic melanoma is less than 6 months, and only a handful of treatment options are available. If the disease can be stopped before it spreads to other organs, life expectancy is greatly increased. The goal of this project is to identify possible regulators of melanoma metastasis by determining genes whose expression is modulated when the cells are grown in contact with endothelial cells. Identification of genes involved in this cell-cell communication could have therapeutic implications.

Publication Title

Integration of genotypic and phenotypic screening reveals molecular mediators of melanoma-stromal interaction.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16748
Expression data from human chondrosarcoma cells resistance to ET-743 and PM00104
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ET-743 (trabectedin, Yondelis) and PM00104 (Zalypsis) are marine derived compounds that have antitumor activity. ET-743 and PM00104 exposure over sustained periods of treatment will result in the development of drug resistance, but the mechanisms which lead to resistance are not yet understood. Human chondrosarcoma cell lines resistant to ET-743 (CS-1/ER) or PM00104 (CS-1/PR) were established in this study. The CS-1/ER and CS-1/PR exhibited cross resistance to cisplatin and methotrexate but not to doxorubicin. Human Affymetrix Gene Chip arrays were used to examine relative gene expression in these cell lines.

Publication Title

ZNF93 increases resistance to ET-743 (Trabectedin; Yondelis) and PM00104 (Zalypsis) in human cancer cell lines.

Sample Metadata Fields

Specimen part, Cell line

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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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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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