refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 15512 results
Sort by

Filters

Technology

Platform

accession-icon GSE10358
Discovery and validation of expression data for the Genomics of Acute Myeloid Leukemia Program at Washington University
  • organism-icon Homo sapiens
  • sample-icon 299 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Activating mutations in tyrosine kinase (TK) genes (e.g. FLT3 and KIT) are found in more than 30% of patients with de novo acute myeloid leukemia (AML); many groups have speculated that mutations in other TK genes may be present in the remaining 70%. We performed high-throughput re-sequencing of the kinase domains of 26 TK genes (11 receptor TK and 15 cytoplasmic TK) that are expressed in most AML patients, using genomic DNA from the bone marrow (tumor) and matched skin biopsy samples (germline) from 94 patients with de novo AML; sequence variants were validated in an additional 94 AML tumor samples (14.3 million base pairs of sequence were obtained and analyzed). We identified known somatic mutations in FLT3, KIT, and JAK2 TK genes at the expected frequencies, and found four novel somatic mutations, JAK1V623A, JAK1T478S, DDR1A803V and NTRK1S677N, once each in four respective patients out of 188 tested. We also identified novel germline sequence changes encoding amino acid substitutions (i.e. non-synonymous changes) in 14 TK genes, including TYK2, which had the largest number of non-synonymous sequence variants (11 total detected). Additional studies will be required to define the roles that these somatic and germline TK gene variants play in AML pathogenesis.

Publication Title

Somatic mutations and germline sequence variants in the expressed tyrosine kinase genes of patients with de novo acute myeloid leukemia.

Sample Metadata Fields

Sex, Age, Specimen part, Race

View Samples
accession-icon GSE62246
Enhancer Sequence Variants and Transcription Factor Deregulation Synergize to Construct Pathogenic Regulatory Circuits in B Cell Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Enhancer sequence variants and transcription-factor deregulation synergize to construct pathogenic regulatory circuits in B-cell lymphoma.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE12662
Normal human bone marrow CD34+ cells, promyelocytes, and neutrophils and PR9 cell line PML-RARA induction time course
  • organism-icon Homo sapiens
  • sample-icon 104 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To better understand the pathogenesis of acute promyelocytic leukemia (APL, FAB M3 AML), we identified genes that are expressed differently in APL cells compared to other acute myeloid leukemia subtypes, and to normal promyelocytes. Comparative gene expression analysis of 14 M3, 62 other AML (M0, M1, M2 and M4) and 5 enriched normal promyelocyte samples revealed a signature of 1,121 genes that are specifically dysregulated in M3 samples relative to other AML, and that do not simply represent normal promyelocyte expression (M3-specific signature). We used a novel, high throughput digital platform (Nanostring's nCounter system) to evaluate a subset of the most significantly dysregulated genes in 30 AML samples; 33 of 37 evaluable gene expression patterns were validated. In an additional analysis, we selected only genes that are dysregulated in M3 both compared to other AML subtypes, and to purified normal CD34+ cells, promyelocytes, and/or neutrophils, thereby isolating a 478 gene "composite M3 dysregulome". Surprisingly, the expression of only a few of these genes was significantly altered in PR-9 cells after PML-RARA induction, suggesting that most of these genes are not direct targets of PML-RARA. Comparison of the M3-specific signature to our previously described murine APL dysregulome revealed 33 commonly dysregulated genes, including JUN, EGR1, and TNF. Collectively, these results suggest that PML-RARA initiates a transcriptional cascade which generates a unique downstream expression signature in both primary human and mouse APL cells.

Publication Title

High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples.

Sample Metadata Fields

Sex, Race

View Samples
accession-icon GSE12667
Discovery of somatic mutations in lung adenocarcinomas
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This was a collaborative study to discover somatic mutations in 188 lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are likely to play a role in carcinogenesis. The observed mutational profiles correlate with clinical features, smoking status, and DNA repair defects. These results are complemented by data integration including SNP array data and gene expression array data (deposited here). Our findings shed further light on several key signaling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment.

Publication Title

Somatic mutations affect key pathways in lung adenocarcinoma.

Sample Metadata Fields

Sex, Race

View Samples
accession-icon GSE41203
Transcriptional analysis of type 1 diabetes reveals an interferon signature that precedes T cell activation
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Type 1 diabetes (T1D) is an autoimmune disease triggered by T cell reactivity to protein antigens produced by the -cells. Here we present a chronological compendium of transcriptional profiles from islets of Langerhans isolated from non-obese diabetic (NOD) mice ranging from 2 wks up to diabetes and compared to controls. Parallel analysis was made of cellular components of the islets. Myeloid cells populated the islets early during development in all mouse strains. This was followed by a type I interferon signature detectable at 4-6 wks of age only in diabetes susceptible mice. Concurrently, CD4 T cells were found within islets, many in contact with intra-islet antigen presenting cells. Early cellular signs of islet reactivity were detected by six wks. By 8 wks, NOD islets contained all major leukocytes populations and an inflammatory gene signature. This work establishes the natural transcriptional signature of T1D and provides a resource for future research.

Publication Title

Defining the transcriptional and cellular landscape of type 1 diabetes in the NOD mouse.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE79962
Widespread downregulation of cardiac mitochondrial and sarcomeric genes in patients with sepsis
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The mechanism(s) for septic cardiomyopathy in humans is not known. To address this, we performed transcriptional profiling of hearts from patients who died from sepsis, in comparison to non-failing human donor hearts that could not be transplanted for technical reasons.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE98460
Transcriptional Analysis of Articular Cartilage in Knee Osteoarthritis: Relationship with Obesity
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Objective: To examine the changes in tibial plateau cartilage in relation to body mass index (BMI) in patients with end-stage osteoarthritis (OA). Design: Knees were obtained from 23 OA patients (3 non-obese, 20 obese) at the time of total knee replacement. RNA prepared from cartilage was probed for differentially expressed (DE) gene transcripts using RNA microarrays and validated via real-time PCR. Differences with regard to age, sex, and between medial and lateral compartments were also queried. Results: Microarrays revealed that numerous transcripts were significantly DE between non-obese and obese patients (1.5-fold) using pooled and separate data from medial and lateral compartments. Correlation analyses showed that 706 transcripts (459 positively, 247 negatively) were significantly correlated with BMI. Among these, HS3ST6, HSD17B12, and FAM26F were positively correlated while STAC3, PRSS21, and EDA were negatively correlated. Differentially correlated transcripts represented important biological processes e.g. cellular metabolic processes, anatomical structure morphogenesis and cellular response to growth factors. Although age and sex had some effect on transcript expression, most intriguing results were observed for comparison between medial and lateral compartments. Transcripts (MMP13, CLEC3A, MATN3, EPYC, SCARNA5, COL2A1) elevated in the medial compartment represented skeletal system development, cartilage development, collagen and proteoglycan metabolism, and extracellular matrix organization. Likewise, transcripts (SELE, CTSS, VSIG4, F13A1, and STEAP4) repressed in medial compartment represented host immune response, cell migration, wound healing, cell proliferation and response to cytokines. PCR data confirmed expression of DE transcripts. Conclusions: This study supports molecular interaction between obesity and OA and implies that BMI is an important determinant of transcript-level changes in cartilage.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE58081
Analysis of gene expression in CD8+ T cells activated in vitro or in vivo
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

c-Myc-induced transcription factor AP4 is required for host protection mediated by CD8+ T cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE14929
Myocardial expression data from gnotobiotic wild-type and Ppara-/- mice
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Germ free (GF) and conventionalized (CONV-D) wild-type C57Bl/6 male mice in the CARB-fed, 24h fasted, and 30d trained states; plus GF and CONV-D CARB-fed Ppara-/- mice. CARB-fed indicates a standard polysaccharide-rich mouse chow diet.

Publication Title

Regulation of myocardial ketone body metabolism by the gut microbiota during nutrient deprivation.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE64750
Lung expression data from highly pathogenic H5N1 virus infected and uninfected mice
  • organism-icon Mus musculus
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Susceptible and Resistant mouse strain, e.g. DBA/2J and C57BL/6J respectively, were inoculated with a highly pathogenic H5N1 influenza A virus (A/Hong Kong/213/2003) for 72 hours.

Publication Title

Host genetic variation affects resistance to infection with a highly pathogenic H5N1 influenza A virus in mice.

Sample Metadata Fields

Sex

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