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accession-icon GSE1364
Long-Term Storage of Human Cells at Ambient Temperature
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This series represents the complete series of the human 293h media depleted storage on agarose / rehydration condition course analysis. Samples include Control, monolayer; Control, monolayer/full recovery, antibiotics; Spheroid, no storage; two week storage/0hr recovery; two week storage/full recovery; four week storage/0hr recovery; six week storage/0hr recovery.

Publication Title

Long term metabolic arrest and recovery of HEK293 spheroids involves NF-kappaB signaling and sustained JNK activation.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE1455
Two week Storage and Rehydration of HEK 293 Cells at Ambient Temperature
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This series represents the rehydration series of the human 293h media depleted storage on agarose / rehydration condition course analysis. Samples include Control Monolayer, 0 hr desiccation, 0 hr rehydration, 6 hr rehydration, 24 hr rehydration, and 72 hr rehydration.

Publication Title

Long term metabolic arrest and recovery of HEK293 spheroids involves NF-kappaB signaling and sustained JNK activation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE1312
YDRseries2, Yeast desiccation / rehydration time course
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

This series represents Experiment 2 of the yeast desiccation / rehydration time course analysis. Samples include Control, 50% dry, Dry, 15 min. post rehydration, 45 min. post rehydration, 90 min. post rehydration, and 360 min. post rehydration.

Publication Title

Transcriptional response of Saccharomyces cerevisiae to desiccation and rehydration.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE1314
YDRseries4, Comparison commercial dry active yeast to BY4743
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

This series represents the analysis of a commercial dry active yeast (purchased locally). The genetics of this sample is unknown.

Publication Title

Transcriptional response of Saccharomyces cerevisiae to desiccation and rehydration.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE1518
Human endothelium exposed to shear stress and pressure
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Intact living conduit vessels (umbilical veins) were exposed to normal or high intraluminal pressure, or low or high shear stress in combination with a physiological level of the other force. We used a unique vascular ex vivo perfusion system. After six hours of perfusion endothelial cells were isolated from the stimulated vessels and RNA was extracted. RNA from 16 experiments from each stimulation were pooled and analyzed in duplicate DNA microarrays.

Publication Title

Differential global gene expression response patterns of human endothelium exposed to shear stress and intraluminal pressure.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE66107
Everolimus protects podocytes via stabilizing TUBB2B and DCDC2 expression
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glomerular podocytes are highly differentiated cells that are key components of the kidney filtration units. The podocyte cytoskeleton builds the basis for the dynamic podocyte cytoarchitecture and plays a central role for proper podocyte function. Recent studies implicate that immunosuppressive agents including the mTOR-inhibitor everolimus have a protective role directly on the stability of the podocyte cytoskeleton. To elucidate mechanisms underlying mTOR-inhibitor mediated cytoskeletal rearrangements, we carried out microarray gene expression studies to identify target genes and corresponding pathways in response to everolimus. We analyzed the effect of everolimus in a puromycin aminonucleoside experimental in vitro model of podocyte injury. Upon treatment with puromycin aminonucleoside, microarray analysis revealed gene clusters involving cytoskeletal-associated pathways, adhesion, migration and extracellular matrix composition to be affected. Everolimus is capable of protecting podocytes from injury, both on the transcriptome and protein level. Rescued genes included TUBB2B and DCDC2, both involved in microtubule structure formation in neuronal cells but not identified in podocytes so far. Confirming gene expression data, Western-blot analysis in cultured podocytes showed an increase of TUBB2B and DCDC2 protein after everolimus treatment, and immunohistochemistry in healthy control kidneys confirmed a podocyte-specific expression. Microtubule-inhibitor experiments led to a maldistribution of TUBB2B and DCDC2 as well as an aberrant reorganization of the actin cytoskeleton. Tubb2bbrdp/brdp mice showed a delay in glomerular podocyte and capillary development. Taken together, our study suggests that off-target, non-immune mediated effects of the mTOR-inhibitor everolimus on the podocyte cytoskeleton might involve regulation of microtubules, revealing a potential novel role of TUBB2B and DCDC2 in glomerular podocyte development

Publication Title

Everolimus Stabilizes Podocyte Microtubules via Enhancing TUBB2B and DCDC2 Expression.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE83129
RNA profiling in metastatic colorectal cancer patients treated first-line with oxaliplatin
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Oxaliplatin (oxPt) resistance in colorectal cancers (CRC) is a major medical problem, and predictive markers are urgently needed. Recently, miR-625-3p was reported as a promising predictive marker. Here, we have used in vitro models to show that miR-625-3p functionally induces oxPt resistance in CRC cells, and have identified signalling networks affected by miR-625-3p. The p38 MAPK activator MAP2K6 was shown to be a direct target of miR-625-3p, and, accordingly, was downregulated in patients not responding to oxPt therapy. miR-625-3p resistance could be reversed in CRC cells by anti-miR-625-3p treatment and by ectopic expression of a miR-625-3p insensitive MAP2K6 variant. In addition, by reducing p38 MAPK signalling using either siRNA technology, chemical inhibitors to p38 or by ectopic expression of dominant negative MAP2K6 protein we induced resistance to oxPt. Transcriptome, proteome and phosphoproteome profiles revealed inactivation of MAP2K6-p38 signalling as one likely mechanism a possible driving force behind of oxPt resistance. Our study shows that miR-625-3p induces oxPt resistance by abrogating MAP2K6-p38 regulated apoptosis and cell cycle control networks, and corroborates the predictive power of miR-625-3p

Publication Title

miR-625-3p regulates oxaliplatin resistance by targeting MAP2K6-p38 signalling in human colorectal adenocarcinoma cells.

Sample Metadata Fields

Subject

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accession-icon GSE43179
MicroRNA regulate immunological pathways in T-cells in immune thrombocytopenia (ITP)
  • organism-icon Homo sapiens
  • sample-icon 36 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

MicroRNA regulate immunological pathways in T-cells in immune thrombocytopenia (ITP).

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43177
MicroRNA regulate immunological pathways in T-cells in immune thrombocytopenia (ITP) [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MicroRNA are small non-coding RNA molecules that regulate gene expression. To investigate the role of microRNA in ITP, we performed genome-wide expression analyses of mRNA and microRNA in T-cells from ITP patients and controls. We identified 1,915 regulated genes and 22 regulated microRNA that differed between ITP patients and controls. Seventeen of the 22 regulated microRNA were linked to changes in target gene expression; 57 of these target genes were associated with the immune system, e.g. T-cell activation and regulation of immunoglobulin production. CXCL13 and IL-21 were two microRNA target genes significantly increased in ITP. We could demonstrate increased plasma levels of CXCL13 and others have reported increased plasma levels of IL-21 in ITP. Thus, regulated microRNA were significantly associated with both gene and protein expression of molecules in immunological pathways. We suggest that microRNA may be important regulatory molecules involved in the loss of tolerance in ITP.

Publication Title

MicroRNA regulate immunological pathways in T-cells in immune thrombocytopenia (ITP).

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP092767
Bidirectional terminators in Saccharomyces cerevisiae prevent cryptic transcription from invading neighbouring genes
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcription can be quite disruptive for chromatin so cells have evolved mechanisms to preserve chromatin integrity during transcription, hence preventing the emergence of cryptic transcript from spurious promoter sequences. How these transcripts are regulated and processed by cells remains poorly characterized. Notably, very little is known about the termination of cryptic transcription. Here we used RNA-Seq to identify and characterize cryptic transcripts in Spt6 mutant cells (spt6-1004) in Saccharomyces cerevisiae. We found polyadenylated cryptic transcripts running both sense and anti-sense relative to genes in this mutant. Cryptic promoters were enriched for TATA boxes, suggesting that the underlying DNA sequence defines the location of cryptic promoters. While intragenic sense cryptic transcripts terminate at the terminator of the genes that host them, we found that anti-sense cryptic transcripts preferentially terminate at the 3’-end of upstream genes. These findings led us to demonstrate that most terminators in yeast are bidirectional, leading to termination and polyadenylation of transcripts coming from either direction. We propose that S. cerevisiae has evolved this mechanism in order to prevent spurious transcription from invading neighbouring genes, a feature particularly critical for organisms with small compact genomes. Overall design: Cells from spt16-1004 and its respective WT strain were grown to an OD600 of 0.5 at 30°C and shifted to 37°C for 80 min before RNA extraction. Total RNA was extracted using the hot phenol method. Prior to library preparation, total RNA was either depleted for ribosomal RNA using the Ribo-zero Gold yeast kit (Epicentre-Illumina) or enriched for polyadenylated RNA using the NEBnext Poly(A) kit (New England Biolabs). Strand specific RNA-seq libraries were prepared using the KAPA stranded RNA-Seq library preparation kit prior to paired-end sequencing on an Illumina Hi-Seq2000. Reads were mapped to the sacCer3 assembly of the S. cerevisiae genome using Tophat2 (23). Intron length range was set at 50 to 1000 bp and a reference annotation file was provided to guide the assembly.

Publication Title

Bidirectional terminators in Saccharomyces cerevisiae prevent cryptic transcription from invading neighboring genes.

Sample Metadata Fields

Cell line, Subject

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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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