refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 225 results
Sort by

Filters

Technology

Platform

accession-icon GSE50607
Gestational food-restriction but not nicotine exposure regulates gene expression in the striatum of adolescent rats
  • organism-icon Rattus norvegicus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

We used microarrays to determine the effect of prenatal nicotine exposure on gene expression profiles in the striatum of adolescent rats. We found a number of immediate early genes to be differentially expressed due to food-restriction.

Publication Title

Long-term effects of gestational nicotine exposure and food-restriction on gene expression in the striatum of adolescent rats.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE3059
Leukocytes Gene Expression in Correlation to Plasma Lipid Levels
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background---For decades, plasma lipid levels have been known risk factors of atherosclerosis. Recently, inflammation has gained acceptance as a crucial event in the pathogenesis and development of atherosclerosis. A number of studies have provided some insights into the relationships between the two aspects of atherosclerosis: plasma lipids --- the risk factors, and circulating leukocytes --- the effectors of inflammation. In this study, we investigate the relationships between plasma lipids and leukocytes.

Publication Title

Identifying leukocyte gene expression patterns associated with plasma lipid levels in human subjects.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP147452
Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain L]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

10X Genomics single cell RNAseq of MCF7 cells Human cancer cell lines are the workhorse of cancer research. While cell lines are known to evolve in culture, the extent of the resultant genetic and transcriptional heterogeneity and its functional consequences remain understudied. Here, genomic analyses of 106 cell lines grown in two laboratories revealed extensive clonal diversity. Follow-up comprehensive genomic characterization of 27 strains of the common breast cancer cell line MCF7 uncovered rapid genetic diversification. Similar results were obtained with multiple strains of 13 additional cell lines. Importantly, genetic changes were associated with differential activation of gene expression programs and marked differences in cell morphology and proliferation. Barcoding experiments showed that cell line evolution occurs as a result of positive clonal selection that is highly sensitive to culture conditions. Analyses of single cell-derived clones showed that ongoing instability quickly translates into cell line heterogeneity. Testing of the 27 MCF7 strains against 321 anti-cancer compounds uncovered strikingly disparate drug response: at least 75% of compounds that strongly inhibited some strains were completely inactive in others. This study documents the extent, origin and consequence of genetic variation within cell lines, and provides a framework for researchers to measure such variation in efforts to support maximally reproducible cancer research. Overall design: Single cell clones were derived from MCF7 cells (strain L) and cultured.

Publication Title

Genetic and transcriptional evolution alters cancer cell line drug response.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE104335
Whole transcriptome (gene expression and splice isoform changes) profiling using Affymetrix Human Transcriptome Array 2.0
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Transcriptome analysis of total RNA samples from human cell line (LAM 621-101, female)

Publication Title

Post-transcriptional Regulation of De Novo Lipogenesis by mTORC1-S6K1-SRPK2 Signaling.

Sample Metadata Fields

Sex, Specimen part, Cell line

View Samples
accession-icon GSE143007
A pan-cancer transcriptome analysis to identify the molecular mechanism of prexasertib resistance [microarray]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

The combined influence of oncogenic drivers, genomic instability, and/or DNA damage repair deficiencies increases replication stress in cancer. Cells with high replication stress rely on the upregulation of checkpoints like those governed by CHK1 for survival. Previous studies of the CHK1 inhibitor prexasertib demonstrated activity across multiple cancer types. Therefore, we sought to (1) identify markers of prexasertib sensitivity and (2) define the molecular mechanism(s) of intrinsic and acquired resistance using preclinical models representing multiple tumor types. Our findings indicate that while cyclin E dysregulation is a driving mechanism of prexasertib response, biomarkers associated with this aberration lack sufficient predictive power to render them clinically actionable for patient selection. Transcriptome analysis of a pan-cancer cell line panel and in vivo models revealed an association between expression of E2F target genes and prexasertib sensitivity and identified innate immunity genes associated with prexasertib resistance. Functional RNAi studies supported a causal role of replication fork components as modulators of prexasertib response. Mechanisms which protect cells from oncogene-induced replication stress may safeguard tumors from such stress induced by a CHK1 inhibitor, resulting in acquired drug resistance. Furthermore, resistance to prexasertib may be shaped by innate immunity.

Publication Title

A pan-cancer transcriptome analysis identifies replication fork and innate immunity genes as modifiers of response to the CHK1 inhibitor prexasertib.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP126245
ADAM17 is required for EGF-R induced intestinal tumors via IL-6 trans-signaling
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Colorectal cancer is treated with antibodies blocking epidermal growth factor receptor (EGF-R) but therapeutic success is limited. EGF-R is stimulated by soluble ligands, which are derived from transmembrane precursors by ADAM17-mediated proteolytic cleavage. In mouse intestinal cancer models in the absence of ADAM17, tumorigenesis was almost completely inhibited and the few remaining tumors were of low grade dysplasia. RNA-Seq analysis demonstrated downregulation of STAT3 and Wnt pathway components. Since EGF-R on myeloid cells, but not on intestinal epithelial cells is required for intestinal cancer and IL-6 is induced via EGF-R stimulation, we analyzed the role of IL-6 signaling. Tumor formation was equally inhibited in IL-6 -/- and sgp130Fc transgenic mice, in which only trans-signaling via soluble IL-6R is abrogated. ADAM17 is needed for EGF-R-mediated induction of IL-6 synthesis, which via IL-6 trans-signaling induces ß-catenin dependent tumorigenesis. Our data reveal the possibility of a novel strategy for treatment of colorectal cancer, which could circumvent intrinsic and acquired resistance to EGF-R blockade. Overall design: RNA sequencing of tumor tissue and surrounding unaffected tissue of Apc Min/+ and Apc Min/+ ::ADAM17 ex/ex

Publication Title

ADAM17 is required for EGF-R-induced intestinal tumors via IL-6 trans-signaling.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE50677
Human memory T cells of the bone marrow are resting and maintain long-lasting memory
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To compare human memory CD4+ T cell subsets in peripheral blood (PB) and bone marrow (BM) of healthy individuals at transcriptional level, we analyzed the global gene expression of ex vivo PB CD69- as well as BM CD69- and CD69+ memory CD4+ T cells from 4 paired PB and BM samples. The gene expression of these subsets was additionally compared to the transcriptional profile of 8 PB samples taken ex vivo or stimulated with phorbol myristate acetate (PMA) and Ionomycin for 3 hours.

Publication Title

Human memory T cells from the bone marrow are resting and maintain long-lasting systemic memory.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE14009
Nutritional control of gene expression during C. elegans L1 arrest and recovery
  • organism-icon Caenorhabditis elegans
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

RNA Pol II accumulates at promoters of growth genes during developmental arrest.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE35682
Analysis of gene expression in wildtype and Notch1 mutant retinal cells by single cell profiling
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Loss of Notch1 in retinal progenitor cells (RPCs) during postnatal retinal development results in the overproduction of rod photoreceptors at the expense of interneurons and glia. To examine the molecular underpinnings of this observation, microarray analysis of singla retinal cells from wildtype (WT) or Notch1 conditional knockout (N1-CKO) retinas was performed. The majority of N1-CKO cells lost expression of known Notch target genes. These cells also had low levels of RPC and cell cycle genes, and robustly upregulated rod precursor genes. In addition, single WT cells, in which cell cycle marker genes were downregulated, expressed markers of both rod photoreceptors and interneurons. These results demonstrate that individual, newly postmitotic retinal cells can begin to differentiate into more than one cell type, and that this transitional state may be dependent on Notch1 signaling.

Publication Title

Notch1 is required in newly postmitotic cells to inhibit the rod photoreceptor fate.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE11055
Temporal expression analysis of C. elegans larvae hatching in the presence and absence of food.
  • organism-icon Caenorhabditis elegans
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

When C. elegans larvae hatch in the absence of food they persist in a stress resistant, developmentally arrested state (L1 arrest). We characterized mRNA expression genome-wide in a pair of bifurcating time series starting in the late embryo and proceeding through the hatch in the presence and absence of food (E. coli).

Publication Title

RNA Pol II accumulates at promoters of growth genes during developmental arrest.

Sample Metadata Fields

No sample metadata fields

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