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accession-icon GSE21142
Tobacco smoking transcriptional imprinting contributes to urothelial cancer
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Smoking is a major risk factor for Urothelial carcinoma (UC). However the complex mechanisms, how smoking promotes carcinogenesis and tumour progression, remain obscure. A microarray based approached was therefore performed to detect the smoking derived gene expression alteration in non-malignant and malignant urothelial tissues from patients with superficial or invasive UC. Smoking enhanced cell migration and response to tissue damages. In non-malignant tissues smoking induced immune response and altered the cytoskeleton. In urothelial carcinoma, smoking altered extracellular and chromosome structures. Smoking affected tissues from patients with invasive carcinomamore strongly, up-regulating particularly growth factors and oncogenes in non-malignant tissue of patients with invasive but not with superficial carcinoma. In former smokers, comparable changes were seen in tissues form patients with invasive disease while they were minor or reversed in tissue of patients with superficial disease. Best but not complete tissue repair was suggestedfor non-malignant tissue from patients with superficial tumours.

Publication Title

New insights into the influence of cigarette smoking on urothelial carcinogenesis: smoking-induced gene expression in tumor-free urothelium might discriminate muscle-invasive from nonmuscle-invasive urothelial bladder cancer.

Alternate Accession IDs

E-GEOD-21142

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE48400
Dynamic expression profiling of type I and type III interferon-stimulated hepatocytes.
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This dataset details the time-dependent response of human Huh7 hepatoma cells to type I and type III IFN.

Publication Title

Dynamic expression profiling of type I and type III interferon-stimulated hepatocytes reveals a stable hierarchy of gene expression.

Alternate Accession IDs

E-GEOD-48400

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE16475
Expression data from side population subfraction hematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The traditional view of hematopoiesis has been that all the cells of the peripheral blood are the progeny of a unitary homogeneous pool of hematopoietic stem cells (HSCs). Recent evidence suggests that the hematopoietic system is actually maintained by a consortium of HSC subtypes with distinct functional characteristics. We show here that myeloid-biased HSCs (My-HSCs) and lymphoid-biased (Ly-HSCs) can be purified according to their capacity for Hoechst dye efflux in combination with canonical HSC markers.

Publication Title

Distinct hematopoietic stem cell subtypes are differentially regulated by TGF-beta1.

Alternate Accession IDs

E-GEOD-16475

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE40224
The blood transcriptional signature of chronic HCV
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The blood transcriptional signature of chronic hepatitis C virus is consistent with an ongoing interferon-mediated antiviral response.

Alternate Accession IDs

E-GEOD-40224

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE40184
The blood transcriptional signature of chronic HCV [Affymetrix data]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This study characterizes the effects of chronic Hepatitis C virus (HCV) infection on gene expression by analyzing blood samples from 10 treatment-naive HCV patients and 6 healthy volunteers.

Publication Title

The blood transcriptional signature of chronic hepatitis C virus is consistent with an ongoing interferon-mediated antiviral response.

Alternate Accession IDs

E-GEOD-40184

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP183071
GOYA DLBCL clinical trial - RNASeq dataset
  • organism-icon Homo sapiens
  • sample-icon 502 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This dataset contains collected RNASeq data of 552 samples from the GOYA clinical trial. Overall design: The GOYA trial tested the efficacy of Gazyva (GA101) compared with Rituxan (Rituximab) in first line, untreated DLBCL patients. Patients were randomized 1:1 to either G or R combined with a CHOP chemotherapy backbone. Tumor samples were collected at baseline, RNA was isolated using RNA-Access, and RNASeq was run with TruSeq (Illumina) RNASeq.

Publication Title

PD-L1 and tumor-associated macrophages in de novo DLBCL.

Alternate Accession IDs

GSE125966

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE2534
GSC RT-PCR amplification of 10 cells (SP & CD8 T cells), single SP cell and single-SP-cell equivalent
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

GSM48315-GSM48332: Ten cells from C57Bl/6 male mouse bone marrow (SP or CD8 T cells) were sorted into individual wells of 96-well plates. The mRNA of these cells was amplified by the global single cell RT-PCR method and biotinylated targets were generated after optimal digestion with DNAse I.

Publication Title

Evidence for diversity in transcriptional profiles of single hematopoietic stem cells.

Alternate Accession IDs

E-GEOD-2534

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE34551
NPTX1 is a Critical Regulator of Neural Induction in Human Pluripotent Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

NPTX1 is a key inducer of neural lineages from the human ESC.

Publication Title

NPTX1 regulates neural lineage specification from human pluripotent stem cells.

Alternate Accession IDs

E-GEOD-34551

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon SRP094572
Expression data for hiPSC-derived RPE treated with 10mM Nicotinamide or vehicle
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We did the RNA-seq analysis to examine the global impact of Nicotinamide (NAM) on hiPSC-derived RPE transcriptome in order to better understand the mechanism of action of NAM. NAM inhibited the expression of Age related Macular degeneration (AMD) associated protein transcripts in hiPSC-derived RPE. Overall design: Seven hiPSC-RPE lines (4 AMD donors and 3 Control donors) that had been cultured with 10mM NAM or vehicle for three weeks were used for RNA extraction and RNA-seq analysis. We treated 4 AMD hiPSC-RPE and 3 Control hiPSC-RPE lines with 10mM NAM or vehicle.

Publication Title

Nicotinamide Ameliorates Disease Phenotypes in a Human iPSC Model of Age-Related Macular Degeneration.

Alternate Accession IDs

GSE90889

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Treatment, Subject

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accession-icon GSE11591
Expression profiling of Irgm1-/- (Lrg-47) HSCs
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To assess gene expression changes in Irgm1 (Lrg-47) deficient HSCs

Publication Title

Irgm1 protects hematopoietic stem cells by negative regulation of IFN signaling.

Alternate Accession IDs

E-GEOD-11591

Sample Metadata Fields

No sample metadata fields

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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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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