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accession-icon SRP150616
RNA seq comparison between scrambled and shGRP78 cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Pancreatic cancer cells transduced with sh knockdown of GRP78 Overall design: Pancreatic cancer mRNA profiles of scrambled control versus shGRP78 cell line, in triplicate, using Illumina Truseq Stranded Total-RNA library

Publication Title

ER stress sensor, glucose regulatory protein 78 (GRP78) regulates redox status in pancreatic cancer thereby maintaining "stemness".

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE32912
Expression profiling of attenuated mitochondrial function identifies retrograde signals in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Mitochondria are able to modulate cell state and fate during normal and pathophysiologic conditions through a nuclear mediated mechanism collectively termed as a retrograde response. Our previous studies in Drosophila have clearly established that progress through the cell cycle is precisely regulated by the intrinsic activity of the mitochondrion by specific signaling cascades mounted by the cell. As a means to further our understanding of how mitochondrial energy status affects nuclear control of basic cell decisions we have employed Affymetrix microarray-based transcriptional profiling of Drosophila S2 cells knocked down for the gene encoding subunit Va of the complex IV of the mitochondrial electron transport chain. The profiling data identifies up-regulation of glycolytic genes and metabolic studies confirm this increase in glycolysis. The transcriptional portrait which emerges implicates many signaling systems, including a p53 response, an insulin response, and up-regulation of conserved mitochondrial responses. This rich dataset provides many novel targets for further understanding the mechanism whereby the mitochondrion may direct cellular fate decisions. The data also provides a salient model of the shift of metabolism from a predominately oxidative state towards a predominately aerobic glycolytic state, and therefore provides a model of energy substrate management not unlike that found in cancer.

Publication Title

Expression profiling of attenuated mitochondrial function identifies retrograde signals in Drosophila.

Sample Metadata Fields

Cell line

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accession-icon GSE13073
MSCs Exposed to Keratinocyte Condition Medium
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the present study, we demonstrate that hMSCs migrate toward human keratinocytes as well as toward conditioned medium from cultured human keratinocytes (KCM) indicating that the hMSCs can respond to signals from keratinocytes. Incubation of hMSCs with KCM induced dermal myofibroblast like differentiation characterized by expression of cytoskeletal markers vinculin and F-actin filaments with increased expression of alpha smooth muscle actin. We then examined the therapeutic efficacy of hMSCs in wound healing in two animal models representing normal and chronic wound healing. Accelerated wound healing, as determined by quantitative measurements of wound area, was observed when hMSCs and KCM exposed hMSCs (KCMSCs) were injected near the site of incisional/excisional wounds in nondiabetic athymic and NOD/SCID mice as compared with normal human fetal lung fibroblast WI38 cells or saline control induced wound healing.

Publication Title

Keratinocyte Induced Differentiation of Mesenchymal Stem Cells into Dermal Myofibroblasts: A Role in Effective Wound Healing.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP051108
Zebrafish foxc1a is required for appendage specific neural circuit development
  • organism-icon Danio rerio
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

RNA-seq analysis of zebrafish foxc1a mutant Overall design: For RNA-seq, mRNA was extracted from 38-40 hpf old embryos. We isolated wild type and foxc1a mutant samples by dissecting the entire first 6 anterior somitic segments (AS) through which the fin nerves migrate, and the adjacent posterior segments (PS; segments 7 through ~12) devoid of fin innervating nerves. Heads and yolks were excluded from all samples. Tissues were stored in RNAlater solution (Life Technologies) for up to 2 days at 4 degree before RNA was extracted using the RNAeasy kit (Qiagen) according to the manufacture’s protocol. RNA was tested for integrity using a Bioanalyzer (Agilent technologies). RNA samples showing RIN value of 8 or higher were used for generating cDNA libraries as described in the TruSeq® Stranded mRNA sample preparation guide. At the final stage, 15 cycles of PCR amplifications was performed. Barcoded libraries representing duplicates of AS and PS samples of wild type and mutants were validated using Bionalyzer (Agilent Technology) and finally sequenced in Illumina HiSeq 2500 yielding paired end reads of 100bp. The RNA-seq Unified Mapper (RUM) (Grant et al., 2011) was used to align the reads to the Zv9/danRer7 reference genome and to assign each read uniquely to a transcript. We investigated transcripts that showed the highest fold changes of expression between the different groups. For Gene Ontology annotations, genes tagged by the GO term “axon guidance” were obtained from the gene ontology database (http://www.geneontology.org/). Next we filtered this list for the “Danio rerio” taxon (resulting in 116 unique genes) and used them to annotate our RNA-seq results.

Publication Title

Zebrafish foxc1a drives appendage-specific neural circuit development.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE46004
Expression data comparing EBF1 versus Pax5 induced genes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to establish whether EBF1 and Pax5 repress similar or unique genes. We found that EBF1 uniquely represses the expression of the T-lineage transcription factor Gata3.

Publication Title

Transcriptional repression of Gata3 is essential for early B cell commitment.

Sample Metadata Fields

Specimen part

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accession-icon GSE44331
Expression data from C57BL/6J and C57BL6/J Sarm-deficient mice uninfected or infected with vesicular stomatitis virus (VSV)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Sarm-deficient mice are protected from VSV encephalitis and death. Microarray was done to examine genes contributing to this phenotype

Publication Title

SARM is required for neuronal injury and cytokine production in response to central nervous system viral infection.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE25465
Expression data from SSEA1+ c-kit+ differentiated murine embryonic stem cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

SSEA1+ c-kit+cells sorted from mouse embryonic stem cells differentiated for 4 days in 10uM Retinoic acid do not form teratomas when transplated into SCID mice while Pten-/- cells do.

Publication Title

Loss of Pten causes tumor initiation following differentiation of murine pluripotent stem cells due to failed repression of Nanog.

Sample Metadata Fields

Specimen part

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accession-icon GSE36891
Profiling of gene expression in TLR2 and TLR3 activated macrophages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We have identified more than 50 genes that have upregulated expression in TLR3 activated (PMI-1,2), but have downregulated expression in TLR2 activated (PMP-1,2) macrophages, as compared to control cells (PMC-1,2)

Publication Title

Identification of TLT2 as an engulfment receptor for apoptotic cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP106069
RNA-Seq analysis of alveolar macrophages from normal and fibrotic mouse lungs
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We performed gene expression profiling of alveolar macrophages from mice that were intratracheally instilled with saline or bleomycin. We identified a number of differentially expressed genes in the two groups of cells. Overall design: Expression profiling of alveolar macrophages from mice that were intratracheally instilled with saline or bleomycin.

Publication Title

Metabolic characterization and RNA profiling reveal glycolytic dependence of profibrotic phenotype of alveolar macrophages in lung fibrosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line, Subject

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accession-icon SRP125035
Gene expression profiling of mouse macrophages following long noncoding RNA Malat1 knockdown
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We applied next-generation sequencing to investigate the gene expression profiles in mouse bone-marrow derived macrophages with or without long noncoding RNA-Malat1 knockdown. We identified a number of differentially regulated genes in cells with Malat1 knockdown. Overall design: Mouse bone-marrow derived macrophages were transfected with Antisense LNAâ„¢ GapmeRs against Malat1 or Negative Control oligos (Exiqon). 48h after transfection, total RNA was isolated and subjected to high-throughput sequencin (RNA-seq), using Illumina GAIIx. Gene expression profiles were compared between two groups.

Publication Title

Long noncoding RNA Malat1 regulates differential activation of macrophages and response to lung injury.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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