refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 152 results
Sort by

Filters

Technology

Platform

accession-icon GSE62400
Genome-wide expression profiling after Valproic acid treatment in Saccharomyces cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Valproic acid (VA) is a small-chain branched fatty acid, widely used as anticonvulsant, and mood stabilizer to treat psychiatric illness. Valproic acid is also known to inhibit the histone deacetylases (HDACs), which makes it as a potent antitumor agent in alone or in combination with other cytotoxic drugs. Beside its conventional activities, valproic acid reported to have much broader, complicated effects and affect many complex physiological processes. However the molecular mechanisms of valproic acid are unclear.

Publication Title

Combined Transcriptomics and Chemical-Genetics Reveal Molecular Mode of Action of Valproic acid, an Anticancer Molecule using Budding Yeast Model.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE109597
Predictive computational obesity risk framework through integration of gene expression profiles and genetic risk score.
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We aimed to predict obesity risk with genetic data, specifically, obesity-associated gene expression profiles. Genetic risk score was computed. The genetic risk score was significantly correlated with BMI when an optimization algorithm was used. Linear regression and built support vector machine models predicted obesity risk using gene expression profiles and the genetic risk score with a new mathematical method.

Publication Title

A computational framework for predicting obesity risk based on optimizing and integrating genetic risk score and gene expression profiles.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP212738
The Toll signaling pathway targets the insulin-like peptide Dilp6 to inhibit growth in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

To identify genes that mediate altered communication between fat body and peripheral tissues, we report the gene expression changes in Drosophila third instar larval fat bodies with or without constitutively-active Toll (Toll10b) to activate innate immune signaling, myristoylated Akt (myrAkt) to activate insulin signaling, or both transgenes to bypass the block from Toll signaling to the upstream part of the insulin signaling pathway Overall design: Comparison of RFP/GFP (Control), Toll10b/GFP (Toll10b), RFP/myrAkt (myrAkt), and Toll10b/myrAkt (Toll10b + myrAkt)

Publication Title

The Toll Signaling Pathway Targets the Insulin-like Peptide Dilp6 to Inhibit Growth in Drosophila.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE79475
Cross-talk between 4-1BB and TLR1-TLR2 signaling in CD8+ T cells regulates TLR2s costimulatory effects
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

The activation of TLR-MyD88 (Toll like receptor- Myeloid differentiation factor 88) signaling within T cells functions as a potent costimulatory signal that boosts antitumor and antiviral responses. However, the molecular mechanisms underlying the costimulatory processes are poorly understood. We compared microarray gene analysis data between TLR1-TLR2 stimulated and unstimulated T cell receptor transgenic pmel and MyD88-/-pmel CD8+ T cells and identified changes in the expression levels of several TNF family members. In particular, TLR-stimulation increased 4-1BB levels in pmel but not in MyD88-/-pmel T cells. A link between 4-1BB and TLR1-TLR2 signaling in CD8+ T cells was highlighted by in fact that 4-1BB-/- T cells exhibited suboptimal responses to TLR1-TLR2 agonist, but responded normally to CD28 or OX40 costimulation. Moreover, blocking 4-1BB signaling with antibodies also hindered the costimulatory effects of the TLR1-TLR2 agonist. The elevated levels of 4-1BB transcripts in TLR1-TLR2stimulated cells were not due to increased mRNA stability nor increased histone activation but instead were associated with increased binding of p65 and c-Jun to two distinct 4-1BB promoter sites. Combining TLR1-TLR2 ligand with an agonistic anti-4-1BB antibody enhanced the antitumor activity in mice with established melanoma tumors. These studies reveal that the costimulatory effects of TLR1-TLR2 signaling in CD8+ T cells are in part mediated by 4-1BB and are important for mounting an effective antitumor immune response.

Publication Title

Cross-talk between 4-1BB and TLR1-TLR2 Signaling in CD8+ T Cells Regulates TLR2's Costimulatory Effects.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE108048
Gene expression data from embryonic stem cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding the identity of lineage-specific cells arising during manipulations of stem cells is necessary for developing their potential applications. For instance, replacement of crucial functions in organ failure by transplantation of suitable stem-cell-derived cells will be applicable to numerous disorders, but requires insights into the origin, function and fate of specific cell populations. We studied mechanisms by which the identity of differentiated cells arising from stem cells could be verified in the context of natural liver-specific stem cells and whether such differentiated cells could be effective for supporting the liver following cell therapy in a mouse model of drug-induced acute liver failure. By comparing the identity of naturally occurring fetal human liver stem cells, we found that cells arising in cultures of human embryonic stem cells (hESCs) recapitulated an early fetal stage of liver cells, which was characterized by conjoint meso-endoderm properties. Despite this fetal stage, hESC-derived cells could provide liver support with appropriate metabolic and ammonia-fixation functions, as well as cytoprotection, such that mice were rescued from acute liver failure. Therefore, spontaneous or induced differentiation of human embryonic stem cells along the hepatic endoderm will require transition through fetal-like stages. This offers opportunities to prospectively identify whether suitable cells have been generated through manipulation of stem cells for cell therapy and other applications.

Publication Title

Spontaneous origin from human embryonic stem cells of liver cells displaying conjoint meso-endodermal phenotype with hepatic functions.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP069052
Negative control of CSL gene transcription by stress/DNA damage response and p53 [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

CSL is a key transcription factor, mostly acting as a repressor. While known as main effector of Notch signaling, it can also play Notch-independent functions. Despite the wide interest in CSL, the mechanisms responsible for its own regulation have been little studied. We recently showed that CSL down-modulation in human dermal fibroblasts (HDFs) leads to conversion into cancer associated fibroblasts, which promote keratinocyte tumor development. We show here that levels of CSL gene transcription differ among HDF strains derived from many different individuals, with negative correlation with genes involved in DNA damage/repair. CSL expression in all tested strains is negatively regulated by stress / DNA damaging insults caused by UVA, Reactive Oxygen Species (ROS), smoke extract and doxorubicin treatment. p53, a key effector of the DNA damage response, functions as common negative regulator of CSL gene transcription, through both suppression of CSL promoter activity and, indirectly, through increased p21 expression. CSL was previously shown to bind p53 suppressing its activity. The present findings indicate that p53, in turn, decreases CSL expression, which can serve to enhance p53 activity in the acute response of cells to DNA damaging cancer-threatening conditions. Overall design: RNA sequencing of 46 human foreskin fibroblasts

Publication Title

Negative control of CSL gene transcription by stress/DNA damage response and p53.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE110147
Gene expression profiling of idiopathic pulmonary fibrosis and non-specific interstitial pneumonia
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP) are the 2 most common forms of idiopathic interstitial pneumonia. Response to therapy and prognosis are remarkably different. The clinical-radiographic distinction between IPF and NSIP may be challenging. We sought to investigate the gene expression profile of IPF vs. NSIP

Publication Title

Comprehensive gene expression profiling identifies distinct and overlapping transcriptional profiles in non-specific interstitial pneumonia and idiopathic pulmonary fibrosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE46699
Smoking and Obesity Related Molecular Alterations in Clear Cell Renal Cell Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Both cigarette smoking and obesity have been implicated in increased risk of clear cell renal cell carcinoma (ccRCC); however, there are limited data regarding the molecular mechanisms that underlie these associations. We used a multi-stage design to identify and validate specific molecular targets that are associated with smoking or obesity-related ccRCC.

Publication Title

ANKS1B is a smoking-related molecular alteration in clear cell renal cell carcinoma.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP155901
KLF4 as a rheostat of osteolysis and osteogenesis in prostate tumors in the bone
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We previously found that KLF4, a gene highly expressed in adult prostate stem cells, blocks the progression of indolent intraepithelial prostatic lesions into aggressive and rapidly growing tumors. To test whether this anti-cancer effect of KLF4 can also prevent prostate cancer-induced damage to the bone, we ablated KLF4 in human PC3 prostate cancer cells using CRISPR/Cas9-mediated genome editing and compared their behavior to null cells transduced with a DOX inducible KLF4 expression system. KLF4 re-expression inhibited growth of PC3 null cells in monolayer and as colonies in soft agar in a dose-dependent manner. When injected into the mouse femurs, PC3 null cells proliferated rapidly, forming very large, invasive and osteolytic tumors. Induction of KLF4 expression in PC3 null cells immediately after their intra-femoral inoculation blocked the development of tumors while preserving the normal bone architecture. KLF4 re-expression in established PC3 bone tumors inhibited osteolytic effects of PC3 null cells, preventing bone fractures and inducing a significant osteogenic response with regions of new bone formation. Transcriptome analyses of PC3 cells with no or high KLF4 expression revealed KLF4-dependent osteolytic or osteogenic transcriptional programs, respectively. Importantly, these KLF4-dependent functions significantly overlapped with metastatic prostate cancers in patients. Overall design: Uninfected PC3 KLF4 wild-type cells and uninfected PC3 KLF4 null cells were grown for 48 hours and collected for RNA extraction. Another cohort of PC3 KLF4 null cells was infected with lentiviruses expressing a DOX inducible KLF4 expression construct (BFP-T2A-hKLF4) or the control empty vector (BFP-T2A). After 48 hours, DOX (10 ng/ml) was added to the culture medium to induce KLF4 expression. Control and KLF4-overexpressing cells were collected for RNA extraction after a 48-hour incubation with DOX. Total RNA was extracted using the RNeasy kit (Qiagen, CA, USA). RNA-Seq libraries were prepared with the TruSeq sample preparation kit (Illumina, CA, USA).

Publication Title

KLF4 as a rheostat of osteolysis and osteogenesis in prostate tumors in the bone.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE66354
Investigation of the mechansim underlying the inflammatory phenotype in Group A ependymoma
  • organism-icon Homo sapiens
  • sample-icon 146 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inflammatory response has been identified as a molecular signature of high-risk Group A ependymoma (EPN). To better understand the biology of this phenotype and aid therapeutic development, transcriptomic data from Group A and B EPN patient tumor samples, and additional malignant and normal brain data, were analyzed to identify the mechanism underlying EPN group A inflammation.

Publication Title

Interleukin-6/STAT3 Pathway Signaling Drives an Inflammatory Phenotype in Group A Ependymoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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