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accession-icon GSE11722
Irinotecan-induced gene expression changes in the rat intestine
  • organism-icon Rattus norvegicus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The regional specificity and timing of gene activation following chemotherapy, and how this relates to subsequent mucositis development is currently unknown. The aim of the study was therefore to determine the early time course of gene expression changes along the gastrointestinal tract (GIT) of the DA rat following irinotecan treatment, so as to provide an insight into the genetic component of mucositis.

Publication Title

Gene expression analysis of multiple gastrointestinal regions reveals activation of common cell regulatory pathways following cytotoxic chemotherapy.

Sample Metadata Fields

Sex, Age

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accession-icon GSE15805
Duke-UNC-Texas-EBI ENCODE expression project
  • organism-icon Homo sapiens
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [GENCODE v10 (huex10st)

Description

These samples are being analyzed by the Duke-UNC-Texas-EBI ENCODE consortium. Expression from these cell types will compared to three whole genome open chromatin methodologies: DNaseI hypersensitivity (DNase-seq), Formaldehyde-Assisted Isolation of Regulatory elements (FAIRE-seq), and Chromatin Immunoprecipitation (ChIP-seq) .

Publication Title

Heritable individual-specific and allele-specific chromatin signatures in humans.

Sample Metadata Fields

Specimen part

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accession-icon GSE55129
The role of Rif1 in ES cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Purpose:The goals of this study are to understand the mechanisms underlying reduced self-renewal and loss of pluripotency by depletion of Rif1.

Publication Title

Rif1 maintains telomere length homeostasis of ESCs by mediating heterochromatin silencing.

Sample Metadata Fields

Cell line

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accession-icon GSE62600
Gene expression analysis of human medulloblastoma and neural stem cells
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Medulloblastoma is the most common form of malignant paediatric brain tumour and is the leading cause of childhood cancer related mortality. The four molecular subgroups of medulloblastoma that have been identified WNT, SHH, Group 3 and Group 4 - have molecular and topographical characteristics suggestive of different cells of origin. Definitive identification of the cell(s) of origin of the medulloblastoma subgroups, particularly the poorer prognosis Group 3 and Group 4 medulloblastoma, is critical to understand the pathogenesis of the disease, and ultimately for the development of more effective treatment options.

Publication Title

Gene expression analyses of the spatio-temporal relationships of human medulloblastoma subgroups during early human neurogenesis.

Sample Metadata Fields

Sex, Age

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accession-icon E-TABM-255
Transcription profiling of bone marrow from children with T-cell acute lymphoblastic leukamia comparing those who remained in continuous complete remission with those that relapsed
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We compared the gene expression profile from a group of children with T-cell acute lymphoblastic leukamia who remained in continuous complete remission (CCR) (n = 7) with that from a group who relapsed (n = 5), using Affymetrix HG-U133A arrays. Using the decision-tree based supervised learning algorithm Random Forest (RF), genes were ranked with respect to their ability to discriminate between patients who remained in CCR and those who relapsed. From the 300 top-ranked probe sets 9 genes were selected for further investigation and validation in an independent cohort of 25 T-ALL patients using quantitative real time polymerase chain reaction.

Publication Title

Identification of novel molecular prognostic markers for paediatric T-cell acute lymphoblastic leukaemia.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon SRP061639
Functional coordination and HuR-mediated regulation of mRNA stability during T cell activation
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We evaluated changes in mRNA stability and transcription using 4sU metabolic pulse labeling across a four hour time course following activation of Jurkat T cells with PMA and PHA Overall design: Measurement of total mRNA (T) and 4sU labeled mRNA (IP) in three biological replicates at five time points: prior to activation (U) and the first four hours after activation (1-4)

Publication Title

Functional coordination and HuR-mediated regulation of mRNA stability during T cell activation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9256
Transcriptomes from Longissimus dorsi samples of Korean Native Cattle (Hanwoo)
  • organism-icon Bos taurus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

To identify transcriptional markers for beef traits related to meat tenderness and moisture, we measured the transcriptome of the Longissimus dorsi skeletal muscle in 10 Korean native cattle (KNC). We analyzed the correlation between the beef transcriptome and measurements of four different beef traits, shear force (SF), water holding capacity (WHC), cooking loss (CL), and loin eye area (LEA). We obtained non-overlapping and unique panels of genes showing strong correlations (|r| > 0.8) with SF, WHC, CL, and LEA, respectively. Functional studies of these genes indicated that SF was mainly related to energy metabolism, and LEA to rRNA processing. Interestingly, our data suggested that WHC is influenced by protein metabolism. Overall, the skeletal muscle transcriptome pointed to the importance of energy and protein metabolism in determining meat quality after the aging process. The panels of transcripts for beef traits may be useful for predicting meat tenderness and moisture.

Publication Title

Characterization of beef transcripts correlated with tenderness and moisture.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE138660
Ets1 confers context-dependent activation of Notch signaling in T-cell leukemia
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Combinatorial ETS1-dependent control of oncogenic NOTCH1 enhancers in T-cell leukemia.

Sample Metadata Fields

Sex, Specimen part, Disease, Cell line

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accession-icon GSE138803
Expression data from the HPB-ALL T-ALL cell line transduced with shETS1
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To formally address the biological activity of ETS1 in vitro, we measured the transcriptional effect of ETS1 knock down by transducing HPB-ALL leukemia cell lines with a plKO - shETS1 and plko shLUC control. Samples were hybridized to Affymetrix Human Genome U133 Plus 2.0 arrays. Log2 abundance estimates were obtained using gcrma package of Bioconductor, which is a version of the Robust Multi-Array Average (RMA) algorithm. We provide a supplementary file with gene annotation, which performs a two-sample T-test and computes an average fold-change.

Publication Title

Combinatorial ETS1-dependent control of oncogenic NOTCH1 enhancers in T-cell leukemia.

Sample Metadata Fields

Sex, Cell line

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accession-icon GSE67119
Polyamines induce the glutamate decarboxylase acid response system by increasing the level of the 38 subunit (RpoS) of Escherichia coli RNA polymerase via gadE regulon
  • organism-icon Escherichia coli
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

To study the physiological roles of polyamines, we have carried out a global microarray analysis on the effect of adding polyamines to an Escherichia coli mutant that lacks polyamines because of deletions in the genes in the polyamine biosynthetic pathway. Previously, we have reported that the earliest response to the polyamine addition is the increased expression of the genes for the glutamate dependent acid resistance system (GDAR). We also presented preliminary evidence for the involvement of rpoS and gadE regulators. In the current study further confirmation of the regulatory roles of rpoS and gadE is shown by a comparison of genome-wide expression profiling data from a series of microarrays comparing the genes induced by polyamine addition to polyamine-free rpoS+/gadE+ cells with genes induced by polyamine addition to polyamine-free rpoS and gadE cells. The results indicate that most of the genes in the E. coli GDAR system that are induced by polyamines require rpoS and gadE. Our data also show that, gadE is the main regulator of GDAR and other acid-fitness-island genes. Both polyamines and rpoS are necessary for the expression of gadE genes from the three promoters of gadE (P1, P2 and P3). The most important effect of polyamine addition is the very rapid post-transcriptional increase in the level of RpoS sigma factor. Our current hypothesis is that polyamines increase the level of RpoS protein, and that this increased RpoS level is responsible for the stimulation of gadE expression, which in turn induces the GDAR system in E. coli.

Publication Title

Polyamines Stimulate the Level of the σ38 Subunit (RpoS) of Escherichia coli RNA Polymerase, Resulting in the Induction of the Glutamate Decarboxylase-dependent Acid Response System via the gadE Regulon.

Sample Metadata Fields

Treatment

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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)

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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.

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