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accession-icon GSE38485
A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes
  • organism-icon Homo sapiens
  • sample-icon 202 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE38484
A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes [HumanHT-12 V3.0]
  • organism-icon Homo sapiens
  • sample-icon 202 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Gene expression analyses in whole blood reveal a network of genes related to schizophrenia

Publication Title

A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE59673
Gene expression analysis of ectopic cyclin D1-expressing myeloma cells compared to their non expressing counterparts
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We analyzed gene expression profiles of myeloma cells belonging to the group of bas prognosis RPMI 8226 and LP1 expressing either the GFP protein or a cyclin D1-GFP fusion protein

Publication Title

Cyclin D1 sensitizes myeloma cells to endoplasmic reticulum stress-mediated apoptosis by activating the unfolded protein response pathway.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE27626
Responses of Zea mays root tissue to inoculation with the necrotrophic root pathogen Phytophthora cinnamomi
  • organism-icon Zea mays
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Phytophthora cinnamomi is a devastating soil-borne oomycete with a very broad host range however there remains a major gap in the understanding of plant resistance responses to the pathogen, furthermore, necrotrophic plant-pathogen interactions, particularly those of root pathogens, remain poorly understood. Zea mays exhibits non-host resistance to the pathogen and has been well characterised as a model species. Using the maize Affymetrix GeneChip array we conducted genome-wide gene expression profiling to elucidate the defence genes and pathways which are induced in the root tissue of a resistant plant species to the pathogen.

Publication Title

Transcriptional profiling of Zea mays roots reveals roles for jasmonic acid and terpenoids in resistance against Phytophthora cinnamomi.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE148871
Samples from exacerbating COPD subjects before and after treatment with nemiralisib
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study the effects of treatment with an inhaled PI3Kδ inhibitor during recovery from an exacerbation of Chronic Obstructive Pulmonary Disease (COPD) due to corrective effects on neutrophils that display dysregulated migration characteristics. We aimed to develop novel induced sputum endpoints to demonstrate changes in neutrophil phenotype and proof of mechanism of action in the lung.

Publication Title

Exploring PI3Kδ Molecular Pathways in Stable COPD and Following an Acute Exacerbation, Two Randomized Controlled Trials.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

View Samples
accession-icon GSE16841
Transcriptional regulation by Norrin-Frizzled4 signaling
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Norrin, frizzled-4, and Lrp5 signaling in endothelial cells controls a genetic program for retinal vascularization.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE16707
Long-term effect on the transcriptome of loss of Frizzled4 signaling in cerebellar endothelial cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transcriptional profiles of the cerebellar endothelial cells from P16 Fz4-/- animals were compared to their wild type littermate controls. The goal is to characterize the long-term effect on the transcriptome of loss of Fz4 signaling in cerebellar endothelial cells.

Publication Title

Norrin, frizzled-4, and Lrp5 signaling in endothelial cells controls a genetic program for retinal vascularization.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE76471
Expression data analysis from RPMI 8226 cells irraidated to C-ions.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Multiple Myeloma (MM) is an hematological malignancy. MM cells are resistant to X-ray irradiations. We irradiated RPMI 8226 cancer cells with C-ions, which are more energetic than X-ray irradiations. We found that MM cells, RPMI 8226, are also resistant to C-ion irradiations.

Publication Title

HIF-1α and rapamycin act as gerosuppressant in multiple myeloma cells upon genotoxic stress.

Sample Metadata Fields

Cell line

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accession-icon GSE59037
Dissecting engineered cell types and enhancing cell fate conversion via CellNet
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Engineering clinically relevant cells in vitro holds promise for regenerative medicine, but most protocols fail to faithfully recapitulate target cell properties. To address this, we developed CellNet, a network biology platform that determines whether engineered cells are equivalent to their target tissues, diagnoses aberrant gene regulatory networks, and prioritizes candidate transcriptional regulators to enhance engineered conversions. Using CellNet, we improved B cell to macrophage conversion, transcriptionally and functionally, by knocking down predicted B cell regulators. Analyzing conversion of fibroblasts to induced hepatocytes (iHeps), CellNet revealed an unexpected intestinal program regulated by the master regulator Cdx2. We observed functional engraftment of mouse colon by iHeps, thereby establishing their broader potential as endoderm progenitors and demonstrating direct conversion of fibroblasts into intestinal epithelium. Our studies illustrate how CellNet can be employed to improve direct conversion and to uncover unappreciated properties of engineered cells.

Publication Title

Dissecting engineered cell types and enhancing cell fate conversion via CellNet.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE73233
Transcriptional Landscape of Cardiomyocyte Maturation
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Decades of progress in developmental cardiology has advanced our understanding of the early aspects of heart development, including cardiomyocyte (CM) differentiation. However, control of CM maturation which is subsequently required to generate adult myocytes, remains elusive. Here, we analyzed over 200 microarray datasets from early embryonic to adult hearts and identified a large number of genes whose expression shifts gradually and continuously during maturation. We generated an atlas of integrated gene expression, biological pathways, transcriptional regulators, and gene regulatory networks (GRNs), which show discrete sets of key transcriptional regulators and pathways activated or suppressed during CM maturation. We developed a GRN-based program named MatStatCM that indexes CM maturation status. MatStatCM reveals that pluripotent stem cell-derived CMs mature early in culture, but are arrested at the late embryonic stage with aberrant regulation of key transcription factors. Our study provides a foundation for understanding CM maturation.

Publication Title

Transcriptional Landscape of Cardiomyocyte Maturation.

Sample Metadata Fields

Specimen part, Cell line, Time

View Samples
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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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