refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 766 results
Sort by

Filters

Technology

Platform

accession-icon GSE76644
Interhemispheric differences in gene expression of the cerebral cortex in humans and macaque monkeys
  • organism-icon Macaca mulatta
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Rhesus Gene 1.0 ST Array (rhegene10st)

Description

Handedness and language are two well-studied examples of asymmetrical brain function in humans. Approximately 90% of humans exhibit a right-hand preference, and the vast majority shows left-hemisphere dominance for language function. Although genetic models of human handedness and language have been proposed, the actual gene expression differences between cerebral hemispheres in humans remain to be fully defined. In the present study, gene expression profiles were examined in both hemispheres of three cortical regions involved in handedness and language in humans and their homologues in rhesus macaques: ventrolateral prefrontal cortex, posterior superior temporal cortex (STC), and primary motor cortex. Although the overall pattern of gene expression was very similar between hemispheres in both humans and macaques, weighted gene correlation network analysis revealed gene co-expression modules associated with hemisphere, which are different among the three cortical regions examined. Notably, a receptor-enriched gene module in STC was particularly associated with hemisphere and showed different expression levels between hemispheres only in humans.

Publication Title

Interhemispheric gene expression differences in the cerebral cortex of humans and macaque monkeys.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE1143
Insulin-like growth factor 1 (IGF1) heart study
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

IGF1 and IGF1 receptors (IGF1R) are present in the adult heart and have been shown to be essential for myocardial performance. Insulin-like growth factor 1 (IGF1) is produced in numerous tissues particularly by the liver in response to growth hormone stimulation and is an important factor in the regulation of post-natal growth and development. We have generated and characterized transgenic mice over-expressing the IGF1R. We crossed IGF1R transgenic mice with dominant negative (dn)PI3K (p110) and with constitutively active (ca)PI3K(p110) transgenic mice. Expression profiling was performed on the ventricles of IGF1R, IGF1R-caPI3K, IGF1R-dnPI3K, caPI3K, dnPI3K transgenic female mice at 3 months of age. Non-transgenic littermates were used as controls.

Publication Title

The insulin-like growth factor 1 receptor induces physiological heart growth via the phosphoinositide 3-kinase(p110alpha) pathway.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP134976
RNA-seq of bone marrow derived macrophages stimulated with monophosphoryl lipid A (MPLA)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

We found that MPLA reprograms macrophages in a way that supports a persistent monocyte/macrophage chemokine secretion profile reflected in macrophage mRNA. Additionally, this RNA-seq data revealed that certain genes (e.g. phagocytosis-related) persist much longer after MPLA than others (e.g. pro-inflammatory cytokines). Overall design: Bone marrow derived macrophages were harvested for RNA after 4hrs of monophosphoryl lipid A (MPLA) priming, 24hrs of MPLA priming, and 3 days following the end of priming

Publication Title

The TLR4 Agonist Monophosphoryl Lipid A Drives Broad Resistance to Infection via Dynamic Reprogramming of Macrophage Metabolism.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE87385
Expression data from human-derived oligodendrocytes, astrocytes and fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Oligodendrocytes have recently been implicated in the pathophysiology of amyotrophic lateral sclerosis (ALS). Here we differentiated fibroblasts into induced neural progenitors and subsequently into oligodendrocytes and astrocytes. To confirm that the cells obtained with this protocol express the gene signature of oligodendrocytes, we performed a small gene expression study limited to four iOligodendrocyte lines from two controls (nos. 155 and 170) and two patients (nos. 12 and 17), four iAstrocyte lines from the same samples, and four fibroblast lines from one of our previously published studies

Publication Title

Oligodendrocytes contribute to motor neuron death in ALS via SOD1-dependent mechanism.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon SRP141364
Genome-wide transcriptional analysis of human patterned induced neurons (hpiNs)
  • organism-icon Homo sapiens
  • sample-icon 412 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2500

Description

We report that combining NGN2 programming with SMAD and WNT inhibition generates patterned induced neurons (hpiNs).Transcriptional analyses showed that hpiN cultures contained cells along a developmental continuumranging from poorly differentiated neuronal progenitors to well-differentiated, excitatory glutamatergic neurons. The most differentiated neurons could be identified using a CAMK2A::GFP reporter gene. Overall design: RNA sequencing analysis (population and single cell) over hpiNs differentiation time (D0 through D49 after induction). Two independent iPS lines, 9 time points, three replicates each.

Publication Title

Combining NGN2 Programming with Developmental Patterning Generates Human Excitatory Neurons with NMDAR-Mediated Synaptic Transmission.

Sample Metadata Fields

Specimen part, Disease, Cell line, Subject, Time

View Samples
accession-icon GSE8828
Isolation and molecular characterization of cancer stem cells in MMTVWnt-1 murine breast tumors
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In human breast cancers, a phenotypically distinct minority population of tumorigenic cancer (TG) cells (sometimes referred to as cancer stem cells) drives tumor growth when transplanted into immunodeficient mice. Our objective was to identify a mouse model of breast cancer stem cells that could have relevance to studying human breast cancer. To do so, we utilized breast tumors of the MMTVWnt-1 mice. MMTV-Wnt-1 breast tumors were harvested, dissociated into single cell suspensions, and FACS sorted on Thy1, CD24, and CD45. FACS sorted cells were then injected into recipient background FBV/NJ female mice. Thy1+CD24+ cancer cells, which constitute approximately 1-4% of tumor cells were highly enriched for cells capable of regenerating new tumors when compared to cells of the tumor that did not fit this profile (Not Thy1+CD24+). Resultant tumors were of the same phenotypic diversity as the original tumor and behaved in a similar manner when passaged. Microarray analysis comparing Thy1+CD24+ tumor cells to Not Thy1+CD24+ cells identified a list of differentially expressed genes. Orthologs of these differentially expressed genes predicted survival of human breast cancer patients from two different study groups. These studies suggest that there is a cancer stem cell compartment in the MMTV-Wnt-1 murine breast tumor and that there is a clinical utility of this model for the study of cancer stem cells.

Publication Title

Isolation and molecular characterization of cancer stem cells in MMTV-Wnt-1 murine breast tumors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6883
The prognostic role of a gene signature from tumorigenic breast-cancer cells.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Breast cancers contain a minority population of cancer cells characterized by CD44 expression but low or undetectable levels of CD24 (CD44+CD24-/low) that have higher tumorigenic capacity than other subtypes of cancer cells. METHODS: We compared the gene-expression profile of CD44+CD24-/low tumorigenic breast-cancer cells with that of normal breast epithelium. Differentially expressed genes were used to generate a 186-gene invasiveness gene signature (IGS), which was evaluated for its association with overall survival and metastasis-free survival in patients with breast cancer or other types of cancer. RESULTS: There was a significant association between the IGS and both overall and metastasis-free survival (P<0.001, for both) in patients with breast cancer, which was independent of established clinical and pathological variables. When combined with the prognostic criteria of the National Institutes of Health, the IGS was used to stratify patients with high-risk early breast cancer into prognostic categories (good or poor); among patients with a good prognosis, the 10-year rate of metastasis-free survival was 81%, and among those with a poor prognosis, it was 57%. The IGS was also associated with the prognosis in medulloblastoma (P=0.004), lung cancer (P=0.03), and prostate cancer (P=0.01). The prognostic power of the IGS was increased when combined with the wound-response (WR) signature. CONCLUSIONS: The IGS is strongly associated with metastasis-free survival and overall survival for four different types of tumors. This genetic signature of tumorigenic breast-cancer cells was even more strongly associated with clinical outcomes when combined with the WR signature in breast cancer.

Publication Title

The prognostic role of a gene signature from tumorigenic breast-cancer cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE42210
Arf Tumor Suppressor and miR-205 Regulate Cell Adhesion and Formation of Extraembryonic Endoderm from Pluripotent Stem Cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Induction of the Arf tumor suppressor in response to hyperproliferative stress following oncogene activation activates a p53-dependent transcriptional program that limits the expansion of incipient cancer cells. Although Arf is not expressed in most tissues of fetal or young adult mice, it is physiologically expressed in the fetal yolk sac, a tissue derived from the extraembryonic endoderm. We demonstrate that expression of the mouse p19Arf protein marks late stages of extraembryonic endoderm differentiation in cultured embryoid bodies derived from either embryonic stem cells or induced pluripotent stem cells, and that Arf inactivation specifically delays the differentiation of the extraembryonic endoderm lineage, but not the formation of other germ cell lineages from pluripotent progenitors. Arf is required for the timely induction of extraembryonic endodermal cells in response to Ras/Erk signaling and, in turn, acts through p53 to ensure extraembryonic endoderm lineage development, but not maintenance. Remarkably, a significant temporal delay in extraembryonic endoderm differentiation detected during the maturation of Arf-null embryoid bodies is rescued by enforced expression of miR-205, a micro-RNA up-regulated by p19Arf and p53. Introduction of miR-205 into Arf-null embryonic stem cells rescues defective ExEn formation and elicits a program of gene expression that controls the migration and adhesion of embryonic endodermal cells. This occurs, at least in part, through atypical regulation of genes that control the epithelial-to-mesenchymal transition in cancer cells. Our findings suggest that noncanonical and canonical roles of Arf in extraembryonic endoderm development and tumor suppression, respectively, may be conceptually linked through mechanisms that govern cell-to-cell attachment and migration.

Publication Title

Arf tumor suppressor and miR-205 regulate cell adhesion and formation of extraembryonic endoderm from pluripotent stem cells.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE25334
Asymmetric self-renewal associated (ASRA) genes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Cell lines geneticially engineered to undergo conditional asymmetric self-renewal were used to identify genes whose expression is asymmetric self-renewal associated (ASRA). Non-random sister chromatid segregation occurs concordantly with asymmetric self-renewal in these cell lines.

Publication Title

A resource for discovering specific and universal biomarkers for distributed stem cells.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE53808
White Matter transcriptome in chronic alcoholism
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Chronic alcohol consumption can lead to alchohol-related brain damage (ARBD). Despite the well known acute effects of alcohol the mechanism responsible for chronic brain damage is largely unknown. Pathologically the major change is the loss of white matter while neuronal loss is mild and restricted to a few areas such as the prefrontal cortex. In order to improve our understanding of ARBD pathogenesis we used microarrays to explore the white matter transcriptome of alcoholics and controls.

Publication Title

Comorbidities, confounders, and the white matter transcriptome in chronic alcoholism.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact