refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 15 results
Sort by

Filters

Technology

Platform

accession-icon GSE7548
Expression data from immunized B10.BR mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Mice were immunized with PCC (pigeon cytochrome c).

Publication Title

Lymphoid reservoirs of antigen-specific memory T helper cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE143626
Deregulation of ribosomal protein expression and translation promotes breast cancer metastasis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Deregulation of ribosomal protein expression and translation promotes breast cancer metastasis.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE143625
Deregulation of ribosomal protein expression and translation promotes breast cancer metastasis [rna-uArray MCF10A]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

We conducted an in vivo genome-wide CRISPR activation screen to identify genes that accelerate distal metastasis by breast cancer patient-derived circulating tumor cells (CTCs) following direct intravascular inoculation in mice. Regulators of translation and ribosomal proteins were prominent among these, and expression of RPL15, a component of the large ribosome subunit, was sufficient to increase metastatic growth in multiple organs. RPL15 overexpression selectively increases translation of other ribosomal proteins and cell cycle regulators. Unsupervised analysis of single-cell RNA sequencing of freshly-isolated CTCs from breast cancer patients identifies a subset with strong ribosomal and protein translation signatures, correlated with increased proliferative markers, epithelial markers and poor clinical outcome. Thus, ribosome protein expression identifies an aggressive subset of CTCs, whose therapeutic targeting may suppress metastatic progression.

Publication Title

Deregulation of ribosomal protein expression and translation promotes breast cancer metastasis.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon SRP144750
Stromal Fibroblasts Drive Single Cell Heterogeneity in Pancreatic Cancer
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To understand the interplay between cancer and stroma, we performed single cell RNA-sequencing of PDAC cells admixed with stromal fibroblasts and defined different single cell populations with varying levels of proliferative and metastatic transcriptional states. PDAC cell behavior in vitro and in vivo on these phenotypic axes could be tuned with the proportion of stromal fibroblasts. These cell types were identified in human pancreatic tumors, and specific subpopulations were associated with worsened outcomes. Overall design: 92 single PDAC cells and 92 single CAF cells were micromanipulated and prepared for sequencing (23 of each cell type from four culture ratios). The 24th sample from each cell type-culture condition combination is a population control obtained by micromanipulating 100 cells of the given type from the given culture condition and preparing it as if it were a single cell, giving a total of 96 PDAC samples and 96 CAF samples. During the course of library construction, 3 samples were lost, all PDAC cells from the 30:70 condition (two single cells and the population control), leaving 93 total PDAC samples and 96 total CAF samples.

Publication Title

Stromal Microenvironment Shapes the Intratumoral Architecture of Pancreatic Cancer.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE32260
Relationship between DNMT1-RNA interactions, DNA methylation and gene expression
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE32153
Expression data from WT HL60 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used the microarray analysis to detail the gene expression profile from the leukemic cell line HL-60

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line

View Samples
accession-icon SRP009094
RIPSEQ DNMT1 HL60
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Identification of the all RNA species associated with DNMT1. Using a comparative genome-scale approach we identified and correlated the RNA species physically associated with DNMT1 and proximal to the annotated genes to the methylation status of the corresponding loci and expression levels of the respective genes. This comparative approach delineated the first -DNMT1 centered- 'epitranscriptome' map, a comprehensive map cross-referencing DNMT1-interacting transcripts to (i) DNA methylation and (ii) gene expression profile. Overall design: Relationship between DNMT1-RNA interactions, DNA methylation and gene expression

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE139870
Comparison of MPA regulated gene expression profiles to those regulated by PROG, DHT, DEX
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Medroxyprogesterone acetate (MPA) is a progestin that can bind to and activate progesterone, androgen and glucocorticoid receptors. However, it is not known which receptor mediates MPA action in a cellular context where all three of these receptors are co-expressed and functional.

Publication Title

Anti-proliferative transcriptional effects of medroxyprogesterone acetate in estrogen receptor positive breast cancer cells are predominantly mediated by the progesterone receptor.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE49107
Oxidative stress induces mitochondrial dysfunction and a protective unfolded protein response in RPE cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

How retinal pigmented epithelial (RPE) cells degenerate from oxidative stress in age-related macular degeneration (AMD) is incompletely understood. The study's intent was to identify key cytoprotective pathways activated by oxidative stress, and to determine the extent of their protection. Immunohistochemistry was used to identify the unfolded protein response (UPR) and mitochondria in the RPE of AMD samples. Maculas with early AMD had prominent IRE1, but minimal mitochondrial TOM20 immunolabeling in mildly degenerated RPE. RPE cells treated with cigarette smoke extract (CSE), by microarray analysis, had over-represented genes involved in the antioxidant and unfolded protein response, and mitochondrial location. CSE induced the UPR sensors IRE1, p-PERK, and ATP6, which activated CHOP. CHOP knockdown compromised cell viability after CSE exposure. At the same CSE doses, mitochondria generated superoxide anion and produced less ATP. In mice given intravitreal CSE, the RPE had increased IRE1 and decreased ATP, which elicited RPE epithelial-mesenchymal transition, as suggested by altered ZO1 immunolabeling of RPE flatmounts. Our experiments indicate that RPE cells exposed to oxidative stress respond with a cytoprotective antioxidant and unfolded protein response, but develop mitochondrial impairment that contributed to epithelial mesenchymal transition. With similar responses in the RPE of early AMD samples, these results suggest that mitochondria are vulnerable to oxidative stress while the ER elicits a protective response during early AMD.

Publication Title

Oxidative stress induces mitochondrial dysfunction and a protective unfolded protein response in RPE cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE72753
Beta cell markers of aging have heterogeneous distribution in islets and are induced by insulin resistance
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Our hypothesis was that at any given point in time, islets will contain differing populations of beta cells at different stages of their lifecycle, with further changes occurring with metabolic stress and aging. We examined subpopulations of beta cells isolated from MIP-GFP mice on the basis of their insulin transcriptional activity and in their expression of p16Ink4a. In addition, using aging C57Bl/6 mice as a model, markers of beta cell aging were identified and validated: Igf1r and Cd99 expression increased with age, whereas Kcnq5 was decreased with age. These markers were correlated with an age-related decline in function. The functional aging of beta cells was accelerated by S961, an antagonist to the insulin receptor, which induced insulin resistance. Particularly surprising was the finding of marked islet heterogeneity as demonstrated with the marked staining differences of the markers: Igf1r, Cd99 and Kcnq5. These novel findings about beta cell and islet heterogeneity, and how they change with age, open up an entirely new set of questions that must be addressed about the pathogenesis of type 2 diabetes. The present study has identified new markers of aging in beta cells and found that the expression of these and other markers can be increased by insulin resistance. This provides insight into how insulin resistance might accelerate the death of beta cells. In addition, striking heterogeneity among islets was found, which opens up new ways to think about islet biology and the pathogenesis of T2D.

Publication Title

β Cell Aging Markers Have Heterogeneous Distribution and Are Induced by Insulin Resistance.

Sample Metadata Fields

Age, Specimen part

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