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accession-icon SRP128057
GMUCT sequencing of 4 week old leaves in Arabidopsis ABI3:MTA plants
  • organism-icon Arabidopsis thaliana
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to gain insight into relative stability of transcripts in plants that lacked m6A, we performed global mapping of uncapped and cleaved transcripts Overall design: 2 replicates of GMUCT in Arabidopsis thaliana ecotype Col-0 ABI3:MTA (mta) plants. genome-wide mapping of uncapped and cleaved transcripts (GMUCT)

Publication Title

N<sup>6</sup>-Methyladenosine Inhibits Local Ribonucleolytic Cleavage to Stabilize mRNAs in Arabidopsis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP039511
Fed State Prior to Hemorrhagic Shock and Polytrauma in a Porcine Model Results in Altered Liver Transcriptomic Response
  • organism-icon Sus scrofa
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We sequenced liver mRNA from 23 individual pigs (5 prefed and 18 fasted) taken at 4 separate time points to evaluate the change in gene expression over the course of hemorrhagic shock and resuscitation in response to a carbohydrate prefed state. Overall design: Examination of mRNA levels in liver biopsies from pigs at 4 timepoints throughout hemorrhagic shock and resuscitation

Publication Title

Fed state prior to hemorrhagic shock and polytrauma in a porcine model results in altered liver transcriptomic response.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon E-TABM-220
Transcription profiling of logarithmically growing fission yeast
  • organism-icon Schizosaccharomyces pombe
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

To estimate mRNA steady-state levels we used RNA extracted from logarithmically growing fisson yeast cells on Affymetrix Yeast 2.0 Genechip arrays. The signal intensities from two independent biological repeats were averaged, resulting in measurements for 4818 out of 4962 nuclear protein-coding genes.

Publication Title

A network of multiple regulatory layers shapes gene expression in fission yeast.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE24875
The base pairing RNA Spot 42 participates in a multi-output feedforward loop to help enact catabolite repression in Escherichia coli
  • organism-icon Escherichia coli str. k-12 substr. mg1655
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Bacteria selectively consume some carbon sources over others through a regulatory mechanism termed catabolite repression. Here, we show that the base pairing RNA Spot 42 plays a broad role in catabolite repression in Escherichia coli by directly repressing genes involved in central and secondary metabolism, redox balancing, and the consumption of diverse non-preferred carbon sources. Many of the genes repressed by Spot 42 are transcriptionally activated by the global regulator CRP. Since CRP represses Spot 42, these regulators participate in a specific regulatory circuit called a multi-output feedforward loop. We found that this loop can reduce leaky expression of target genes in the presence of glucose and can maintain repression of target genes under changing nutrient conditions. Our results suggest that base pairing RNAs in feedforward loops can help shape the steady-state levels and dynamics of gene expression.

Publication Title

The base-pairing RNA spot 42 participates in a multioutput feedforward loop to help enact catabolite repression in Escherichia coli.

Sample Metadata Fields

Specimen part

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accession-icon SRP113305
Functional and genomic characterization of a xenograft model system for the study of metastasis in triple-negative breast cancer.
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

To define the molecular regulators of metastasis of triple-negative breast cancer, we conducted a rigorous characterization of four isogenic populations of MDA-MB-231 human triple-negative breast cancer cells that display a range of intrinsic spontaneous metastatic capacities in immuno-deficient mice, from non-metastatic to highly metastatic to lung, liver, spleen and spine. PAT-Seq gene expression profiling of primary tumor cells identified the fibroblast growth factor homologous factor, FGF13, as a candidate metastatic virulence gene highly upregulated in aggressively metastatic MDA-MB-231HM tumors. Overall design: Gene expression analysis from PAT-Seq of 4 increasingly metastatic breast cancer xenograft tumours

Publication Title

Functional and genomic characterisation of a xenograft model system for the study of metastasis in triple-negative breast cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP143519
RNA sequencing of SRSF3 depleted pluripotent cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 550

Description

RNA seqeuncing was performed to identifiy changes in genes expression and alternative splicing following SRSF3 depletion in pluripotent stem cells. Overall design: Induced pluripotent stem cells (iPSCs) generated from reprogrammable conditional SRSF3 knockout (SRSF3-KO/OKSM) mouse embryonic fibroblasts (MEFs) were induced for 24h to deplete SRSF3 and RNA seqeuncing was performed.

Publication Title

SRSF3 promotes pluripotency through <i>Nanog</i> mRNA export and coordination of the pluripotency gene expression program.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP076395
Benomyl toxicity links histone H3 lysine 4 methylation to cell cycle control
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

The PAT-seq approach was utilised to determine the gene expression changes over the cell-cycle of wildtype and delta-set1 yeast strains. The cell were synchronised by alpha-factor arrest and cell-cycle release Overall design: Analysis gene expresson across the S. cerevisiae cell cycle.

Publication Title

Coordination of Cell Cycle Progression and Mitotic Spindle Assembly Involves Histone H3 Lysine 4 Methylation by Set1/COMPASS.

Sample Metadata Fields

Cell line, Subject, Time

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accession-icon GSE75078
Pan-Raf co-operates with PI3K-dependent signaling and critically contributes to myeloma cell survival independently of mutated RAS
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The most common oncogenic mutations in multiple myeloma (MM) affect N- and K-RAS leading to constitutive activation of RAS-dependent signaling. Signal transduction via RAS, Raf and MAPK has been well described as a canonical pathway. In accordance with this assumption, we showed that the activity of the MEK/ERK module is strictly dependent on pan-Raf activity. However, inhibition of MEK/ERK has no or only minor effects on MM cell survival, whereas oncogenic Ras and pan-Raf critically contribute to survival of multiple myeloma cells. Therefore, we aimed to learn more about Raf-dependent but MEK-independent signaling effectors.

Publication Title

Pan-Raf co-operates with PI3K-dependent signalling and critically contributes to myeloma cell survival independently of mutated RAS.

Sample Metadata Fields

Cell line

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accession-icon GSE44110
Behavioural and functional characterization of Kv10.1 (Eag1) knockout mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Kv10.1 (Eag1), member of the Kv10 family of voltage-gated potassium channels, is preferentially expressed in adult brain. The aim of the present study was to unravel the functional role of Kv10.1 in the brain by generating knockout mice, where the voltage sensor and pore region of Kv10.1 was removed to render non-functional proteins through deletion of exon 7 of the KCNH1 gene using the 3 Lox P strategy. Kv10.1-deficient mice show no obvious alterations during embryogenesis and develop normally to adulthood; cortex, hippocampus and cerebellum appear anatomically normal. Other tests, including general health screen, sensorimotor functioning and gating, anxiety, social behaviour, learning and memory did not show any functional aberrations in Kv10.1 null mice. Kv10.1 null mice display mild hyperactivity and longer-lasting haloperidol-induced catalepsy, but there was no difference between genotypes in amphetamine sensitisation and withdrawal, reactivity to apomorphine and haloperidol in the prepulse inhibition tests or to antidepressants in the haloperidol-induced catalepsy. Furthermore, electrical properties of Kv10.1 in cerebellar Purkinje cells did not show any difference between genotypes. Bearing in mind that Kv10.1 is overexpressed in over 70% of all human tumours and that its inhibition leads to a reduced tumour cell proliferation, the fact that deletion of Kv10.1 does not show a marked phenotype is a prerequisite for utilising Kv10.1 blocking and/or reduction techniques, such as siRNA, to treat cancer.

Publication Title

Behavioural and functional characterization of Kv10.1 (Eag1) knockout mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE23492
Expression data from articular and growth plate cartilage
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The aim of the current study was to identify molecular markers for articular cartilage that can be used for the quality control of tissue engineered cartilage. Therefore a genom-wide expression analysis was performed using RNA isolated from articular and growth plate cartilage, both extracted from the knee joints of minipigs.

Publication Title

Identification of molecular markers for articular cartilage.

Sample Metadata Fields

Specimen part

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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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