refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 158 results
Sort by

Filters

Technology

Platform

accession-icon GSE64566
GE/miRNA expression profile of Human Epicardial Adipose Tissue (EAT) and Subcutaneous Adipose Tissue (SAT) in Patients with Coronary Artery Disease (CAD) vs. Controls (CTRL)
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative miRNA and whole-genome analyses of epicardial adipose tissue in patients with coronary atherosclerosis.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE64554
GE/miRNA expression profile of Human Epicardial Adipose Tissue (EAT) and Subcutaneous Adipose Tissue (SAT) in Patients with Coronary Artery Disease (CAD) vs. Controls (CTRL) - PART 1 - Genes
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Gene expression profiles of Human EAT vs. SAT (CTRL & CAD). The aim of the present study was to assess a gene expression chart characterizing EAT vs. SAT, and CAD vs. CTRL. Results provide the information that EAT is characterized by a differential expression of different genes when compared to its reference tissue (SAT), and that EAT is characterized by specific gene expression changes in patients with CAD.

Publication Title

Integrative miRNA and whole-genome analyses of epicardial adipose tissue in patients with coronary atherosclerosis.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE22555
Expression data of MMTV-PyMT mice mammary tumor with or without JAM-A
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Junction Adhesion Molecule-A (JAM-A) is present on leukocytes and platelets where it promotes cell adhesion and motility. We are interested in an interaction between JAM-A and tumor progression/metastases. To address this point, we mated JAM-A-/- mice and mouse mammary tumor model MMTV-PyMT mice which, which express polyoma middle T antigen under the control of mouse mammary tumor virus. MMTV-PyMT mice show 100% penetration of mammary tumor and highly metastases to lung. MMTV-PyMT mice without JAM-A show less primary tumor progression, therefore JAM-A enhance primary tumor progression. Then we are addressing the molecular mechanism of this phenomenon by in vivo. Furthermore, we would like to examine JAM-A deficient MMTV tumor signature.

Publication Title

Abrogation of junctional adhesion molecule-A expression induces cell apoptosis and reduces breast cancer progression.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE51529
Association between distinct gene and miRNA expression profiles and utilization of stereotyped subset #4 in the cells of CLL patients
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Association between gene and miRNA expression profiles and stereotyped subset #4 B-cell receptor in chronic lymphocytic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE40571
Clinical Monoclonal B lymphocytosis versus Rai 0 Chronic Lymphocytic Leukemia: a comparison of the cellular, molecular, cytogenetic features and clinical course in a prospective multicenter study
  • organism-icon Homo sapiens
  • sample-icon 76 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Clinical monoclonal B lymphocytosis versus Rai 0 chronic lymphocytic leukemia: A comparison of cellular, cytogenetic, molecular, and clinical features.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE87830
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 256 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE70323
Reconstruction of microRNA/genes transcriptional regulatory networks of multiple myeloma through in silico integrative genomics analysis
  • organism-icon Homo sapiens
  • sample-icon 246 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Disentangling the microRNA regulatory milieu in multiple myeloma: integrative genomics analysis outlines mixed miRNA-TF circuits and pathway-derived networks modulated in t(4;14) patients.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE46261
Small nucleolar RNAs as new biomarkers in chronic lymphocytic leukemia
  • organism-icon Homo sapiens
  • sample-icon 228 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Small nucleolar RNAs (snoRNAs) and small Cajal body-specific RNAs are non-coding RNAs involved in the maturation of other RNA molecules. Alterations of sno/scaRNA expression may play a role in cancerogenesis. This study elucidates the patterns of sno/scaRNA expression in highly purified cells from 211 chronic lymphocytic leukemia (CLL) patients (Binet stage A) also in comparison with those of different normal B-cell subsets. CLLs display a sno/scaRNAs expression profile similar to normal memory, nave and marginal-zone B-cells, with the exception of a few down-regulated transcripts (SNORA31, -6, -62, and -71C). Our analyses also suggest some heterogeneity in the pattern of sno/scaRNAs expression which is apparently unrelated to the major biological (ZAP-70 and CD38), molecular (IGHV mutation) and cytogenetic markers. Moreover, we found that SNORA70F was significantly down-regulated in poor prognostic subgroups and this phenomenon was associated with the down-regulation of its host gene COBLL1. Finally, we generated an independent model based on SNORA74A and SNORD116-18 expression, which appears to distinguish two different prognostic CLL groups. These data extend the view of sno/scaRNAs deregulation in cancer and may contribute to discover novel biomarkers associated with the disease and potentially useful to predict the clinical outcome of early stage CLL patients.

Publication Title

Small nucleolar RNAs as new biomarkers in chronic lymphocytic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51528
Association between distinct gene and miRNA expression profiles and utilization of stereotyped subset #4 in the cells of CLL patients [Gene Expression]
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Highly homologous B-cell receptors, stereotyped BCR, are expressed in a recurrent fraction of patients with chronic lymphocytic leukemia (CLL). In this study, we investigated the biological and molecular features of leukemic cells from 16 patients utilizing stereotyped subset #4 BCR (IGHV4-34) in a prospective cohort of 462 Binet stage A CLL patients. All subset #4 patients were characterized by the IGHV mutated gene configuration and by the absence of unfavorable cytogenetic lesions, and NOTCH1 and SF3B1 mutations. Gene expression profiling demonstrated a significant downregulation of WDFY4, MF2A and upregulation of PDGFA, FGFR1 and TFEC genes in leukemic cells from subset #4 compared to those from the remaining IGHV-mutated patients. Similarly, in the cells from subset #4 cases there was a specific miRNA expression pattern involving the upregulation of miR-497 and miR-29c. Furthermore transfection of miR-497 mimic in primary leukemic CLL cells induced a downregulation of BCL2, known to be a validated target of this miRNA. Our data identify a distinct gene and miRNA expression profile of the cells from subset #4 patients, providing further evidence for the putative role of BCR in shaping the features of the leukemic cells.

Publication Title

Association between gene and miRNA expression profiles and stereotyped subset #4 B-cell receptor in chronic lymphocytic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16122
A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Mapping 50K Xba240 SNP Array (mapping50kxba240)

Description

A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma: an integrated genomics approach reveals a wide dosage effect on gene and microRNA expression

Publication Title

A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma: an integrated genomics approach reveals a wide gene dosage effect.

Sample Metadata Fields

Specimen part, Disease

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