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accession-icon GSE2278
MVC19_expression_profiles
  • organism-icon Mus musculus
  • sample-icon 97 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

gene expression profiles of leukocytes from blood (WBCs) and spleen harvested at an early (two hours) time point after injury or sham injury in mice subjected to trauma-hemorrhage, burn injury or lipopolysaccharide (LPS)-infusion at three experimental sites

Publication Title

Commonality and differences in leukocyte gene expression patterns among three models of inflammation and injury.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52488
Gene expression profiling regulated by PDGF in pBSMCs
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To explore global molecular changes in smooth muscle in response to PDGFR activation, primary human bladder smooth muscle cells were treated with 1 nM PDGF-BB (hereafter PDGF) for 0, 4 or 24 h. Total RNA were prepared, and analyzed using expression profiling, and subjected to bioinformatic and functional interrogation.

Publication Title

Integration of proteomic and transcriptomic profiles identifies a novel PDGF-MYC network in human smooth muscle cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE3311
Effect of chronic ethanol consumption on rat pancreas
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Male Wistar rats weighing 90-120 g were acclimatized for one week and fed standard laboratory chow, at which time the animals were divided into two groups. Animals were then pair-fed for 8 weeks a regular laboratory chow and water ad libitum or Lieber-DeCarli diet (36% calories from ethanol). Control animals received the iso-caloric amount of dextrose to replace ethanol. After 8 weeks of differential feeding rats were euthanized, the pancreas immediately dissected and stored at -80?C until RNA isolation. RNA expression was analyzed using Affymetrix RAE230A gene chips

Publication Title

Long-term ethanol consumption alters pancreatic gene expression in rats: a possible connection to pancreatic injury.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE73854
Developmental programming in Idiopathic pulmonary fibrosis (IPF)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global mRNA expression was compared between stable and progressive IPF using bronchoalveolar lavage derived mesenchymal stromal cells

Publication Title

Developmental Reprogramming in Mesenchymal Stromal Cells of Human Subjects with Idiopathic Pulmonary Fibrosis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE108004
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

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accession-icon GSE107465
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia [array]
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We demonstrate a promising approach to identify robust molecular markers for targeted treatment of acute myeloid leukemia. We show that our method outperforms several state-of-the-art approaches in identifying molecular markers replicated in validation data and predicting drug sensitivity accurately.

Publication Title

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

View Samples
accession-icon SRP126623
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We demonstrate a promising approach to identify robust molecular markers for targeted treatment of acute myeloid leukemia. We show that our method outperforms several state-of-the-art approaches in identifying molecular markers replicated in validation data and predicting drug sensitivity accurately. Finally, we identify SMARCA4 as a marker and driver of sensitivity to topoisomerase II inhibitors, mitoxantrone and etoposide, in AML by showing that cell lines transduced to have high SMARCA4 expression reveal dramatically increased sensitivity to these agents. Overall design: We measured the gene expression of samples from 30 different AML patients with acute myeloid leukemia in order to identify reliable gene expression markers for drug sensitivity. We used this dataset for validation. This Series represents 12 patient samples.

Publication Title

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage, Subject

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accession-icon SRP172787
Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model
  • organism-icon Mus musculus
  • sample-icon 93 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Background: Activation of microglia, the resident immune cells of the central nervous system, is a prominent pathological hallmark of Alzheimer's disease (AD). However, the gene expression changes underlying microglia activation in response to tau pathology remain elusive. Furthermore, it is not clear how murine gene expression changes relate to human gene expression networks. Methods: Microglia cells were isolated from rTg4510 tau transgenic mice and gene expression was profiled using RNA sequencing. Four age groups of mice (2-, 4-, 6-, and 8-months) were analyzed to capture longitudinal gene expression changes that correspond to varying levels of pathology, from minimal tau accumulation to massive neuronal loss. Statistical and system biology approaches were used to analyze the genes and pathways that underlie microglia activation. Differentially expressed genes were compared to human brain co-expression networks. Results:Statistical analysis of RNAseq data indicated that more than 4000 genes were differentially expressed in rTg4510 microglia compared to wild type microglia, with the majority of gene expression changes occurring between 2- and 4-months of age. These genes belong to four major clusters based on their temporal expression pattern. Genes involved in innate immunity were continuously up-regulated, whereas genes involved in the glutamatergic synapse were down-regulated. Up-regulated innate inflammatory pathways included NF-?B signaling, cytokine-cytokine receptor interaction, lysosome, oxidative phosphorylation, and phagosome. NF-?B and cytokine signaling were among the earliest pathways activated, likely driven by the RELA, STAT1 and STAT6 transcription factors. The expression of many AD associated genes such as APOE and TREM2 was also altered in rTg4510 microglia cells. Differentially expressed genes in rTg4510 microglia were enriched in human neurodegenerative disease associated pathways, including Alzheimer's, Parkinson's, and Huntington's diseases, and highly overlapped with the microglia and endothelial modules of human brain transcriptional co-expression networks. Conclusion: This study revealed temporal transcriptome alterations in microglia cells in response to pathological tau perturbation and provides insights into the molecular changes underlying microglia activation during tau mediated neurodegeneration. Overall design: Compare the microglial cell gene expression changes in rTg4510 tau transgenic mice and wild type at four age groups (2-, 4-, 6-, and 8-months) The rTg4510 mouse is a tauopathy model providing researchers with temporal control over mutant tau transgene expression. The mice express a repressible form of human tau containing the P301L mutation that has been linked with familial frontotemporal dementia. More information can be found here, https://www.alzforum.org/research-models/rtgtaup301l4510

Publication Title

Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon SRP064266
YY1 plays an essential role at all stages of B cell differentiation [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

YY1 is a ubiquitously expressed transcription factor that has been demonstrated to be essential for pro-B cell development. However, the role of YY1 in other B cell populations has never been investigated. It has been proposed that YY1 is a key regulator for the germinal center B cell program since the YY1 motif was present in much higher frequency in germinal center B cell signature genes than signature genes of other B cell subsets. Indeed, in accord with this prediction, we demonstrated that deletion of YY1 by Cg1-Cre completely prevented differentiation of naïve B cells into germinal center B cells and plasma cells after antigen stimulation. To determine if YY1 was also required for the differentiation of other B cell populations, we deleted YY1 with CD19-Cre and found that all peripheral B cell subsets including B1 B cells require YY1 for their differentiation. By deleting YY1 acutely with ER-Cre, we demonstrated that all B cell subsets require YY1 for their maintenance. ChIP-seq shows that YY1 predominantly binds to promoters, and pathway analysis of the genes which bind YY1 show that they are enriched in ribosomal functions, mitochondrial functions such as bioenergetics, and functions related to transcription, such as mRNA splicing, metabolism of RNA. By RNA-seq analysis of differentially expressed genes, we demonstrated that YY1 normally activates genes involved in mitochondrial bioenergetics, while it normally downregulates genes involved in transcription, mRNA splicing, NF-kB signaling pathways, AP-1 transcription factor network, chromatin remodeling, cytokine signaling pathways, cell adhesion, cell proliferation and c-Myc targets. Overall design: Total RNA was prepared from RAG-/-pro-B cells, RAG-/-YY1f/f x mb1-Cre pro-B cells, RAG-/- µ+ pre-B cells, C57BL/6 follicular B cells, and C57BL/6 GC B cells. RNA was extracted using TRIzol (Life Technologies) and genomic DNA was eliminated using the genomic DNA wipeout buffer in the QuantiTect Reverse transcription kit (Qiagen). A final purification of the RNA was performed with the RNeasy kit (Qiagen). Ribosomal RNA was eliminated using Ribo-Zero Magnetic Gold Kit (Illumina).RNA samples were submitted to the Next Generation Sequencing Core, where they were processed with the NEBNext Ultra Directional RNA Library Prep Kit for Illumina and sequenced on the Illumina HiSeq. Three independent RNA-seq samples were used for RAG-/- pro-B and RAG-/- YY1f/f x mb1-Cre pro-B cells, and two samples for the other cell types.

Publication Title

YY1 plays an essential role at all stages of B-cell differentiation.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE40352
The effects of NAC on gene expression in Nkx3.1-/- mouse prostate
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We tested the effects of the antioxidant NAC (N-Acetyl-Cysteine) on gene expression in Nkx3.1-deficient mouse prostate.

Publication Title

Antioxidant treatment promotes prostate epithelial proliferation in Nkx3.1 mutant mice.

Sample Metadata Fields

Age, Specimen part

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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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