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accession-icon GSE60671
Expression data from HeLa cells with and without human recombinant TIMP-4 treatment
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

TIMP-4 overexpression increases tumor burden in mice, promotes progenitor cell phenotype and sensitizes cells to apoptosis, by relying on NFkB signaling

Publication Title

Tissue inhibitor of metalloproteinases-4 (TIMP-4) regulates stemness in cervical cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP069024
Deep transcriptome analysis of mouse embryonic fibroblast following simultaneous overexpression of Stella, Oct4 and Nanos2 (SON)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

We constructed a polycistronic lentiviral vector to overexpress 3 germ cell specific genes (Stella, Oct4 and Nanos2) in mouse embryonic fibroblast (MEFs) and evaluated the transcriptome portrait in partially reprogrammed cells.We sequenced RNA samples from bulk cell population of two biological duplicates of MEF-GFP (control) and MEF-SON (overexpressed) 21 days post infection. Differential expression analysis of 50 M pair-end read per samples showed overexpression of neurogenesis, blood vessel and proliferation related genes and downregulation of chondroitin sulphate metabolic process, nitric oxide production and innate immune response genes. Overall design: Examination of whole transcriptome following concurrent overexpression of Stella, Oct4 and Nanos2 in MEFs.

Publication Title

Suppression of dsRNA response genes and innate immunity following Oct4, Stella, and Nanos2 overexpression in mouse embryonic fibroblasts.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP019936
An Integrated Model of the Transcriptome Landscape of HER2-Positive Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The goal of our study is to build an integrated transcriptome landscape model for HER2 positive breast tumors and identify the crucial signaling pathways associated with HER2 tumors. Genomic features include, 685 genes that were differentially expressed only in HER2-positive tumors, 102 genes that were alternatively spliced in a pattern that is unique to HER2-positive tumors, and 303 genes that expressed single nucleotide sequence variants (eSNVs) that were unique to HER2-positive tumors. Network analysis was performed to integrate the genomic features into a transcriptome landscape model that identified 12 highly interconnected cellular processes that appear to be critical to the establishment and maintenance of HER2-positive tumors. We observed that integrin signaling was linked to lapatinib sensitivity in vitro and strongly associated with risk of relapse in the NCCTG N9831 adjuvant trastuzumab clinical trial dataset. Overall design: We analyzed RNA-seq data from a survey panel consisting of 8 benign breast lesions, 8 ER+, 8 triple negative, and 8 HER2-positive primary breast tumors to identify genomic features that were uniquely associated with HER2-positive tumors

Publication Title

An integrated model of the transcriptome of HER2-positive breast cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE12189
FACS-Assisted Microarray Profiling Implicates Novel Genes and Pathways in Zebrafish Gastrointestinal Tract Development
  • organism-icon Danio rerio
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Zebrafish (Danio rerio) gutGFP transgenic embryos [Tg(XlEef1a1:GFP)s854] were collected at 4 time points: 2 days post fertilization (dpf), 3, dpf, 4 dpf, 6 dpf. Embryos were dissociated into single cells and sorted by FACS based on GFP expression.

Publication Title

FACS-assisted microarray profiling implicates novel genes and pathways in zebrafish gastrointestinal tract development.

Sample Metadata Fields

Age

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accession-icon GSE10746
Chemotherapy-induced oral mucositis (CIOM) in patients with acute myeloid leukemia (AML)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chemotherapy may cause DNA damage within the oral mucosa of cancer patients leading to mucositis, a dose-limiting side effect for effective cancer treatment.

Publication Title

Microarray analyses of oral punch biopsies from acute myeloid leukemia (AML) patients treated with chemotherapy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36753
Effects of (E)-4-bromo-5-(bromomethylene)-3-methylfuran-2(5H)-one (BF8) on P. aeruginosa PAO1 persister cells (three biological replicates)
  • organism-icon Pseudomonas aeruginosa pao1
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Twenty eight genes in PAO1 persister cells were consistently induced by treatment with 1 ug/mL BF8 for 1 h.

Publication Title

Reverting antibiotic tolerance of Pseudomonas aeruginosa PAO1 persister cells by (Z)-4-bromo-5-(bromomethylene)-3-methylfuran-2(5H)-one.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE8584
Comparison of rapidly vs. slowly dividing CD8 T cells during acute homeostatic proliferation
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Our earlier study demonstrated that when CFSE-labeled LCMV-or Pichinde virus-immune spleen leukocytes were transferred into T cell-deficient hosts, the bona fide virus-specific memory cells underwent relatively limited cell division and were substantially diluted in frequency by other more extensively proliferating cells originating from that donor cell population. We questioned how the slowly dividing population, which contained bona fide memory cells, differed from the rapidly dividing cells, which contained memory-like cells. As a preliminary screen we performed a comparative genome-wide microarray analysis of genes expressed on sorted rapidly proliferating (CFSE-low) and slowly proliferating (CFSE-high) CD8 cell populations

Publication Title

Programmed death-1 (PD-1) defines a transient and dysfunctional oligoclonal T cell population in acute homeostatic proliferation.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE29156
Serous ovarian benign tumor and type II carcinoma data set for expression and paracrine signaling investigation
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

A data set of normal epithelium, serous ovarian surface epithelial-stromal tumors (benign and type II malignancies), stroma distal to tumor, and stroma adjacent to tumor (50 samples total). Additional cel files are included which represent replicate sampling from patients, and cel files that failed quality control but may be bioinformatically interesting. Additional replicate or failed cel files were not included in the final analysis (and so these samples were not included in the matrix).

Publication Title

Dysregulation of AKT3 along with a small panel of mRNAs stratifies high-grade serous ovarian cancer from both normal epithelia and benign tumor tissues.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE5392
Expression profiling of human adult postmortem brain tissue from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex and orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

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accession-icon GSE5388
Adult postmortem brain tissue (dorsolateral prefrontal cortex) from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex) from patients with bipolar disorder and matched healthy controls. A cohort of 70 subjects was investigated and the final analysis included 30 bipolar and 31 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

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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