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accession-icon GSE70715
Lactobacilli modulate epithelial cytoprotection through the Nrf2 pathway
  • organism-icon Mus musculus, Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Drosophila Gene 1.0 ST Array (drogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Lactobacilli Modulate Epithelial Cytoprotection through the Nrf2 Pathway.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE72553
Lactobacilli modulate epithelial cytoprotection through the Nrf2 pathway [Microarray]
  • organism-icon Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Drosophila Gene 1.0 ST Array (drogene10st)

Description

We report that cellular ROS enzymatically generated in response to contact with lactobacilli in both mice and Drosophila has salutary effects against exogenous insults to the intestinal epithelium via the activation of Nrf2 responsive cytoprotective genes.

Publication Title

Lactobacilli Modulate Epithelial Cytoprotection through the Nrf2 Pathway.

Sample Metadata Fields

Specimen part

View Samples
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

View Samples
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

View Samples
accession-icon GSE16334
Expression data from normal and Fanconi anemia low density bone marrow cells
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Fanconi anemia (FA) is a rare inherited disease complicated by aplastic anemia. There is evidence that hematopoietic stem cells have lost self replicative capacity and undergo apoptosis when exposed to inhibitory cytokines including interferon gamma and tumor necrosis factor-alpha.

Publication Title

TLR8-dependent TNF-(alpha) overexpression in Fanconi anemia group C cells.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
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

View Samples
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

View Samples
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

View Samples
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

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)

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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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