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accession-icon SRP125275
single cell RNA-seq raw reads of normal growing MCF7, T47D and MDA-MB-231
  • organism-icon Homo sapiens
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

NA

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon SRP125154
single cell RNA-seq raw reads of estrogen-stimulated breast cancer cell line T47D
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Single-cell RNA-seq reveals dynamic estrogen-stimulated metabolic reprogramming in breast cancer cell lines

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP125153
single cell RNA-seq raw reads of estrogen-stimulated breast cancer cell line MCF7
  • organism-icon Homo sapiens
  • sample-icon 93 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Single-cell RNA-seq reveals dynamic estrogen-stimulated metabolic reprogramming in breast cancer cell lines

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE13367
Genome-wide gene expression analysis of mucosal colonic biopsies and isolated colonocytes...
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background & Aims: Genome-wide gene expression (GWGE) profiles of mucosal colonic biopsies have suggested the existence of a continuous inflammatory state in quiescent ulcerative colitis (UC). The aim of this study was to use DNA microarray-based GWGE profiling of mucosal colonic biopsies and isolated colonocytes from UC patients and controls in order to identify the cell types responsible for the continuous inflammatory state. Methods: Adjacent mucosal colonic biopsies were obtained endoscopically from the descending colon in patients with active UC (n=8), quiescent UC (n=9), and with irritable bowel syndrome (controls, n=10). After isolation of colonocytes and subsequent extraction of total RNA, GWGE data were acquired using Human Genome U133 Plus 2.0 GeneChip Array (Affymetrix, Santa Clara, CA). Data analysis was carried out by principal component analysis and projection to latent structure-discriminant analysis using the SIMCA-P11 software (Umetrics, Ume, Sweden). Results: A clear separation between active UC, quiescent UC and control biopsies were found, whereas the model for the colonocytes was unable to distinguish between quiescent UC and controls. The differentiation between quiescent UC and control biopsies was governed by unique profiles containing gene expressions with significant fold changes. These primarily belonged to the family of homeostatic chemokines revealing a plausible explanation to the abnormal regulated innate immune response seen in patients with UC. Conclusion: This study has demonstrated the presence of a continuous inflammatory state in quiescent UC, which seems to reflect an altered gene expression profile of lamina propria cells.

Publication Title

Genome-wide gene expression analysis of mucosal colonic biopsies and isolated colonocytes suggests a continuous inflammatory state in the lamina propria of patients with quiescent ulcerative colitis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP125274
single cell RNA-seq raw reads of normal growing MCF7
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

NA

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

View Samples
accession-icon GSE27071
pcaGoPromoter - An R package for functional interpretation of principal component analysis of genome-wide gene expression data
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background and aim: Analysis of data obtained from genome wide gene expression experiments is challenging, due to the huge amount of variables, management of the data and the need for multivariate analysis. We here present the R package: pcaGoPromoter that facilitates the interpretation of genome wide expression data to overcome these problems. In a first step principal component analysis is applied to overview any differences between the observations and possible groupings. The next step is interpretation of the principal components with respect to both biological function and involvement of predicted transcription factor binding sites. The robustness of the results is evaluated using cross validation. Illustrative plots of PCA score plots and Gene Ontology terms are available. To illustrate the functionality of the R package, we designed a serum stimulation experiment, where the main biological outcome is well documented. Results: Samples from the serum stimulation experiment were analyzed using the Affymetrix Human Genome U133 Plus 2.0 chip. The array data were analyzed by the tools of the pcaGoPromoter package, which resulted in a clear separation of the observations into the three experimental groups - controls, serum only and serum with inhibitor. The functional annotation of the axes in the PCA score plot showed the expected serum promoted biological processes such as cell cycle progression and the predicted involvement of the expected transcription factors including E2F. In addition unexpected results, e.g. the cholesterol synthesis in serum depleted cells and NF-B activation in inhibitor treated cells were uncovered. Conclusion: The pcaGoPromoter R package provides a collection of tools for analyzing gene expression data. It works with any platform using gene symbols or Entrez Ids as probe identifiers. In addition support for several popular Affymetrix GeneChip platforms is provided. The tools give an overview of the data via principal component analysis, functional interpretation by Gene Ontology terms (biological processes), and indication of involvement of possible transcription factors. Thus, pcaGoPromoter structures the high-dimensional data of gene expression experiments and can be applied to generate hypotheses for further exploration.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP149500
Danio rerio strain:Tg (vas:EGFP; figla) | isolate:WT-GFP-S/W | breed:F3 generation Transcriptome or Gene expression
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Explore the function of figla gene in zebrafish gonadal development

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE73726
Proteomic evaluation of the hepatocyte secretome identifies Fetuin B as a factor linking steatosis to impaired glucose metabolism
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

The experiment examined the changes in gene expression in heptocytes isolated from mice with normal (non-fatty) livers or mice with simple steatosis induced by short-term high-fat feeding (6 weeks)

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-998
Transcription profiling by array of Saccharomyces cerevisiae after treatment with methionine or hydrogen peroxide
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Yeast cells were grown up in SD media containing all required amino acids. Each strain set was performed in triplicate. One set had no changes, the second set had 1mM methionine supplenting the media for the duration of growth and the third set was exposed to 0.5mM hydrogen peroxide for 15 minutes prior to harvesting

Publication Title

Gcn4 is required for the response to peroxide stress in the yeast Saccharomyces cerevisiae.

Sample Metadata Fields

Compound

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accession-icon GSE37258
Expression data of the iPSCs derived from foreskin fibroblast cells of normal person and KS patient
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Klinefelters Syndrome (KS) is one of the common chromosome aneuploidy diseases in males with unexplained physiological mechanism. iPSCs, are similar to ESCs in terms of indefinitive self-renewal and pluripotency, provided an alternative choice for modeling disease to facilitate the disease research in vitro.

Publication Title

Aberrant gene expression profiles in pluripotent stem cells induced from fibroblasts of a Klinefelter syndrome patient.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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