refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 281 results
Sort by

Filters

Technology

Platform

accession-icon GSE25980
In vitro and in vivo analysis of hypoxic gene expression in rat gliomas
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

In vivo profiling of hypoxic gene expression in gliomas using the hypoxia marker EF5 and laser-capture microdissection

Publication Title

In vivo profiling of hypoxic gene expression in gliomas using the hypoxia marker EF5 and laser-capture microdissection.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE31592
Expression data from EMRSA-15 treated with and without manuka honey
  • organism-icon Staphylococcus aureus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix S. aureus Genome Array (saureus)

Description

Manuka honey has been shown to inhibit growth in EMRSA-15 by inhibiting cell division, the mode of actin is currently unclear.

Publication Title

Synergy between oxacillin and manuka honey sensitizes methicillin-resistant Staphylococcus aureus to oxacillin.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP156583
Transcriptome profiles of B cell subsets from healthy and SLE subjects
  • organism-icon Homo sapiens
  • sample-icon 266 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

SLE is characterized by the production of autoantibodies that arise from the B cell lineage. Therefore, we sought to assess the epigenetic and transcriptome profiles of distinct B cell subsets known to be expanded in SLE from healthy and SLE subjects. These data define the differentiation heirarchy of B cell subsets and the epigenetic and transcriptional consequences of SLE on human B cells. Overall design: Five distinct B cell subsets were FACS isolated from a cohort of SLE and HC subjects. For a subset of subjects, circulating Antibody Secreting Cells (ASC) were also isolated for comparisons. Cells were FACS sorted into lysis buffer and RNA purified and transcriptome profiles determined by RNA-seq.

Publication Title

Epigenetic programming underpins B cell dysfunction in human SLE.

Sample Metadata Fields

Specimen part, Disease stage, Subject

View Samples
accession-icon GSE16149
Examining smoking-induced differential gene expression changes in buccal mucosa
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A tissue like buccal mucosa (from cheek swabs) would be an ideal sample material for rapid, easy collection for testing of biomarkers as an alternative to blood. A limited number of studies, primarily in the smoker/oral cancer literature, address this tissue's efficacy for quantitative PCR or microarray gene expression analysis. In this study both qPCR and microarray analyses were used to evaluate gene expression in buccal cells. An initial study comparing blood and buccal cells from the same individuals looked at relative amounts of four genes. The RNA isolated from buccal cells was degraded but was of sufficient quality to be used with RT-qPCR to detect expression of specific genes. Second, buccal cell RNA was used for microarray-based differential gene expression studies by comparing gene expression between smokers and nonsmokers. The isolation and amplification protocol allowed use of 150-fold less buccal cell RNA than had been reported previously with human microarrays. We report here the finding of a small number of significant gene expression differences between smokers and nonsmokers, using buccal cells as target material. Additionally, Gene Set Enrichment Analysis confirmed that these genes were changing expression in the same pattern as seen in an earlier buccal cell study performed by another group. Our results suggest that in spite of a high degree of RNA degradation, buccal cells from cheek mucosa could be used to detect differential gene expression between smokers and nonsmokers. However the RNA degradation, increase in sample variability and microarray failure rate show that buccal samples should be used with caution as source material in expression studies.

Publication Title

Examining smoking-induced differential gene expression changes in buccal mucosa.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE48125
Neonatal antibotic prophylaxis modulates intestinal immunity and prevents necrotizing enterocolitis in preterm neonates
  • organism-icon Sus scrofa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Caesarean-delivered preterm pigs were fed 3 d of parenteral nutrition followed by 2 d of enteral formula feeding. Antibiotics (n=11) or control saline (n=13) were given twice daily from birth to tissue collection at d 5. NEC-lesions and intestinal structure, function, microbiology and immunity markers were recorded.

Publication Title

Antibiotics modulate intestinal immunity and prevent necrotizing enterocolitis in preterm neonatal piglets.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE5287
Prediction of response and survival following chemotherapy in patients with advanced bladder cancer
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

BACKGROUND

Publication Title

Emmprin and survivin predict response and survival following cisplatin-containing chemotherapy in patients with advanced bladder cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE85901
Interleukin-6 mediated signaling in adrenal medullary chromaffin cells
  • organism-icon Bos taurus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Pro-inflammatory cytokines, such as tumor necrosis factor-alpha (TNFalpha) and interleukin-1beta/alpha (IL1beta/alpha) modulate catecholamine secretion, and long-term gene regulation, in chromaffin cells of the adrenal medulla. Interleukin-6 (IL6), also released during inflammation, affects transcriptional responses in primary chromaffin cells, and may coordinate immune and autonomic adrenomedullary responses via an autocrine mechanism, as TNFalpha itself strongly induces IL6 expression in chromaffin cells, which in turn express receptors responsive to IL6. We have examined the signaling mechanisms employed by IL6 to affect tyrosine hydroxylase (TH) enzymatic activation, and adrenomedullary gene transcription, in cultured bovine chromaffin cells. IL6 caused acute tyrosine/threonine phosphorylation of extracellular signal-regulated kinase 1/2 (ERK1/2), and serine phosphorylation of signal transducer and activator of transcription 3 (STAT3), as do several other first messengers acting on the chromaffin cell, including histamine, nicotine and angiotensin II. IL6 uniquely activated tyrosine phosphorylation of STAT3. Consistent with a short-term ERK1/2 activation, IL6 treatment caused prompt regulation of TH phosphorylation, and up-regulation of genes encoding secreted proteins of the adrenal medulla including galanin, vasoactive intestinal peptide (VIP), gastrin releasing peptide (GRP) and parathyroid hormone-like hormone (PTHLH). We further examined the effects of IL6 treatment on the entire bovine chromaffin cell transcriptome. Of 90 genes up-regulated by IL6, only 16 of which are known targets of IL6 in the immune system. The remaining genes likely represent a combination of novel IL6/STAT3 targets, targets of ERK1/2 shared by other first messengers, and, potentially, IL6-dependent genes activated in a secondary cascade via transcription mediated by IL6-induced transcription factors, such as HIF-1alpha. Notably, genes induced by IL6 represent a cohort with a profile that includes both neuroendocrine-specific genes, including several that are activated by G-protein couple receptor (GPCR) signaling pathways initiated by histamine and pituitary adenylate cyclase-activating polypeptide (PACAP), and some transcripts also activated by cytokines including interferon-alpha (INFalpha and TNFalpha. These results suggest an integrative role for IL6 in overall fine-tuning of the chromaffin cell response to a wide range of physiological and paraphysiological stressors, particularly when immune and endocrine stimuli converge in the adrenal medulla.

Publication Title

Interleukin-6-mediated signaling in adrenal medullary chromaffin cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP073267
Impact of RNA degradation on fusion detection by RNA-seq
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: Popular methods for library preparation in RNA-seq such as Illumina TruSeq® RNA v2 kit use a poly-A pulldown strategy. Such methods can cause loss of coverage at the 5’ end of genes, impacting the ability to detect fusions when used on degraded samples. The goal of this study was to quantify the effects RNA degradation has on fusion detection when using poly-A selected mRNA and to identify the variables involved in this process Methods: Total RNA was extracted from solid tumor tissue and whole blood using the Qiagen® miRNeasy Micro and Mini kits, respectively. The KU812 cell line was purchased from Sigma-Aldrich (St. Louis, MO) and UHR (Universal Human Reference RNA) was purchased from Agilent (Santa Clara, CA). UHR is a mixture of cell lines derived from breast adenocarcinoma, hepatoblastoma, cervix adenocarcinoma, testis embryonal carcinoma, gliobastoma, melanoma, liposarcoma, histiocytic lymphoma, lymphoblastic leukemia and plasmocytoma. For Degradation experiments, two micrograms of human universal reference RNA (UHR) (Agilent Technologies, Santa Clara, CA) and 1ug of RNA extracted from KU812 cell line (purchased from ATCC) were degraded at 74oC from 1 to 11 minutes in 1 minute intervals, using the NEBNext® Magnesium RNA Fragmentation Module Kit (NEB, Ipswich, MA). RNA was then purified and concentrated with RNeasy MinElute Cleanup Kit (Qiagen, Valencia, CA). Results: In this study, we designed experiments using artificially degraded RNA from cell lines as well as naturally degraded RNA from tissue samples to quantify the effect RNA degradation has on fusion detection when using poly-A selected RNA libraries We found that both the RNA degradation level and the distance from the 3’ end of a gene, negatively impact the read coverage profile in RNA-seq. Furthermore, the median transcript coverage decreases exponentially as a function of the distance from the 3’ end and there is a linear relationship between the coverage decay rate and the RNA integrity number (RIN). Conclusions: we found that when using poly-A pulldown techniques for library preparation in RNA-seq, the fusion sensitivity is negatively impacted by both sample degradation and distance of the fusion breakpoint from the 3’ end and developed graphs that show such effect. Such graphs can be useful in assessing the fusion sensitivity of RNA-seq in both research and clinical settings Overall design: Sequencing data was generated using Hiseq 2500 with a library of 101 paired end reads in the rapid run mode

Publication Title

Impact of RNA degradation on fusion detection by RNA-seq.

Sample Metadata Fields

Disease, Subject

View Samples
accession-icon GSE25213
EVI1 and AP1 Interact to Transcriptionally Regulate a Feed-Forward Loop Important for Cancer Cell Proliferation and Adhesion
  • organism-icon Homo sapiens
  • sample-icon 24 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

Ecotopic viral integration site 1 (EVI1) regulates multiple cellular processes important for cancer and is a synergistic partner for FOS protein in invasive tumors.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE25212
Effects of Evi1 knockdown and overexpression in SKOV-3 ovarian carcinoma cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We studied the variations of mRNA amounts after Evi1 knockdown or Flag-Evi1 overexpression in SKOV-3 cells.

Publication Title

Ecotopic viral integration site 1 (EVI1) regulates multiple cellular processes important for cancer and is a synergistic partner for FOS protein in invasive tumors.

Sample Metadata Fields

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