refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 27 results
Sort by

Filters

Technology

Platform

accession-icon GSE20200
Exon-Level Expression Data from Primary B Cells, Early Proliferating EBV-infected B Cells and Lymphoblastoid Cell Lines
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Eptstein-Barr Virus, an oncogenic herpesvirus, infects and immortalizes human B cells in culture into indefinitely-proliferating LCLs. We examined the gene expression of primary B cells during the process of infection and growth transformation at the exon level to analyze early and late virus-induced changes in expression and exon usage.

Publication Title

An ATM/Chk2-mediated DNA damage-responsive signaling pathway suppresses Epstein-Barr virus transformation of primary human B cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE53225
Expression data from miR-92 over-expressing R26MER/MER mouse embryonic fibroblast (MEFs)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

miR-92 enhances c-Myc induced apoptosis. In the R26MER/MER mouse embryonic fibroblasts (MEFs), a switchable variant of Myc, MycERT2, was knocked into the genomic region downstream of the constitutive Rosa26 promoter, allowing acute activation of c-Myc by 4-OHT-induced nuclear translocation. This in vitro system nicely recapitulates c-Myc-induced apoptosis, as activated MycERT2 induces strong p53-dependent apoptosis in response to serum starvation. Enforced miR-92 expression in three independent R26MER/MER MEF lines significantly enhanced Myc-induced apoptosis.

Publication Title

A component of the mir-17-92 polycistronic oncomir promotes oncogene-dependent apoptosis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon E-MEXP-157
Transcription profiling of SBH/y rats vs SBN/y rats under basal conditions and after salt loading
  • organism-icon Rattus norvegicus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a), Affymetrix Rat Expression 230B Array (rae230b)

Description

Gene expression was studied in whole kidneys in a 2 x 2 design. SBH/y were contrasted with SBN/y under basal conditions and after salt loading. Thus, four groups were studied altogether. Five rats were used in each group. Altogether, 20 animals were used, and each animal was studied separately. Gene expression was done in kidney. Differential gene expression was measured 4 weeks after initiation of salt loading. At that time point hypertension invariably evolves fully in SBH/y but not in SBN/y.<br></br><br></br>Affymetrix CHP files are available on request from arrayexpress@ebi.ac.uk

Publication Title

Identification of hypertension-related genes through an integrated genomic-transcriptomic approach.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject, Compound

View Samples
accession-icon GSE43606
Genetic Heterogeneity of DLBCL
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Diffuse large B-cell lymphoma (DLBCL) is the most common form of lymphoma in adults. The disease exhibits a striking heterogeneity in gene expression profiles and clinical outcomes, but its genetic causes remain to be fully defined. Through whole genome and exome sequencing, we characterized the genetic diversity of DLBCL. In all, we sequenced 73 DLBCL primary tumors (34 with matched normal DNA). Separately, we sequenced the exomes of 21 DLBCL cell lines. We identified 322 DLBCL cancer genes that were recurrently mutated in primary DLBCLs. We identified recurrent mutations implicating a number of known and not previously identified genes and pathways in DLBCL including those related to chromatin modification (ARID1A and MEF2B), NF-B (CARD11 and TNFAIP3), PI3 kinase (PIK3CD, PIK3R1, and MTOR), B-cell lineage (IRF8, POU2F2, and GNA13), and WNT signaling (WIF1). We also experimentally validated a mutation in PIK3CD, a gene not previously implicated in lymphomas. The patterns of mutation demonstrated a classic long tail distribution with substantial variation of mutated genes from patient to patient and also between published studies. Thus, our study reveals the tremendous genetic heterogeneity that underlies lymphomas and highlights the need for personalized medicine approaches to treating these patients.

Publication Title

Genetic heterogeneity of diffuse large B-cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE6573
Dysregulation of the circulating and tissue-based renin-angiotensin system in preeclampsia
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Preeclampsia complicates more than 3% of all pregnancies in the United States and Europe. High-risk populations include women with diabetes, dyslipidemia, thrombotic disorders, hyperhomocysteinemia, hypertension, renal diseases, previous preeclampsia, twin pregnancies, and low socioeconomic status. In the latter case, the incidence may increase to 20% to 25%. Preeclampsia is a major cause of maternal and fetal morbidity and mortality. Preeclampsia is defined by systolic blood pressure of more than 140 mm Hg and diastolic blood pressure of more than 90 mm Hg after 20 weeks gestation in a previously normotensive patient, and new-onset proteinuria. Abnormal placentation associated with shallow trophoblast invasion (fetal cells from outer cell layer of the blastocyst) into endometrium (decidua) and improper spiral artery remodeling in the decidua are initial pathological steps.

Publication Title

Dysregulation of the circulating and tissue-based renin-angiotensin system in preeclampsia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE22898
Deep Sequencing of the Small RNA Transcriptome of Normal and Malignant Human B cells Identifies Hundreds of Novel MicroRNAs
  • organism-icon Homo sapiens
  • sample-icon 26 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

Deep sequencing of the small RNA transcriptome of normal and malignant human B cells identifies hundreds of novel microRNAs.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE48435
The genetic landscape of mutations in Burkitt lymphoma
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Burkitt lymphoma is characterized by deregulation of MYC, but the contribution of other genetic mutations to the disease is largely unknown. Here, we describe the first completely sequenced genome from a Burkitt lymphoma tumor and germline DNA from the same affected individual. We further sequenced the exomes of 59 Burkitt lymphoma tumors and compared them to sequenced exomes from 94 diffuse large B-cell lymphoma (DLBCL) tumors. We identified 70 genes that were recurrently mutated in Burkitt lymphomas, including ID3, GNA13, RET, PIK3R1 and the SWI/SNF genes ARID1A and SMARCA4. Our data implicate a number of genes in cancer for the first time, including CCT6B, SALL3, FTCD and PC. ID3 mutations occurred in 34% of Burkitt lymphomas and not in DLBCLs. We show experimentally that ID3 mutations promote cell cycle progression and proliferation. Our work thus elucidates commonly occurring gene-coding mutations in Burkitt lymphoma and implicates ID3 as a new tumor suppressor gene.

Publication Title

Deep sequencing of the small RNA transcriptome of normal and malignant human B cells identifies hundreds of novel microRNAs.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP109805
A map of human circular RNAs in clinically-relevant tissues
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cellular circular RNAs (circRNAs) are generated by head-to-tail splicing and are present in all multicellular organisms studied so far. Recently, circRNAs have emerged as large class of RNA which can function as post-transcriptional regulators. It has also been shown that many circRNAs are tissue- and stage specifically expressed. Moreover, the unusual stability and expression specificity make circRNAs important candidates for clinical biomarker research. Here, we present a circRNA expression resource of twenty human tissues highly relevant to disease-related research: vascular smooth muscle cells (VSMCs), human umbilical vein (HUVECs), artery endothelial cells (HUAECs), atrium, vena cava, neutrophils, platelets, cerebral cortex, placenta, and samples from mesenchymal stem cell differentiation. In eight different samples from a single donor, we found highly tissue-specific circRNA expression. Circular-to-linear RNA ratios revealed that many circRNAs were higher expressed than their linear host transcripts. Among the 65 validated circRNAs, we noticed potential biomarkers. In adenosine deaminase-deficient, severe combined immunodeficiency (ADA-SCID) patients and in Wiskott-Aldrich-Syndrome (WAS) patients' samples, we found evidence for differential circRNA expression of genes that are involved in the molecular pathogenesis of both phenotypes. Our findings underscore the need to assess circRNAs in mechanisms of human disease. Overall design: To explore circRNA expression patterns in human tissues, we performed rRNA-depleted RNA sequencing and circRNA detection in twenty clinically relevant samples.

Publication Title

A map of human circular RNAs in clinically relevant tissues.

Sample Metadata Fields

Specimen part, Disease, Subject

View Samples
accession-icon GSE1557
Terminal heart failure
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Rats overexpressing the human renin and angiotensinogen genes die after seven weeks of end organ damage. They develop hypertension, heart hypertrophy and proteinuria.We compared terminal heart failure, these are indeed terminally ill to double transgenic animals suffering on hypertension, proteinuria and heart hypertrophy. In addition, Losartan-treated animals (10 mg/kg/d)showed similar physiological parameters (normotension, no proteinuria and no heart hypertrophy compared to control sprague dawley rats.

Publication Title

Cardiac gene expression profile in rats with terminal heart failure and cachexia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE24295
Gene expression in epithelial and non-epithelial cells of renal origin
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We aimed to define epithelial-specific genes in the kidney. In the developing mouse kidney at E12.5 epithelial cells are restricted to the ureteric bud, while mesenchymal cells surrounding the ureteric bud are non-epithelial. The mouse renal epithelial cell line mIMCD-3 was used to represent kidney epithelia in vitro. Gene expression was analyzed using Affymetrix microarrays in ureteric bud stalks, ureteric bud tips, and mIMCD-3 cells and compared to metanephric mesenchyme.

Publication Title

The transcription factor grainyhead-like 2 regulates the molecular composition of the epithelial apical junctional complex.

Sample Metadata Fields

Specimen part, Cell line

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