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accession-icon E-MEXP-849
Transcription profiling of Arabidopsis seed and flowers of ga1-3 mutant
  • organism-icon Arabidopsis thaliana
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Gibberellin mobilizes distinct DELLA-dependent transcriptomes to regulate seed germination and floral development in Arabidopsis

Publication Title

Gibberellin mobilizes distinct DELLA-dependent transcriptomes to regulate seed germination and floral development in Arabidopsis.

Sample Metadata Fields

Specimen part

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accession-icon SRP076493
Drosophila melanogaster strain:CantonS Raw sequence reads
  • organism-icon Drosophila melanogaster
  • sample-icon 67 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We evaluated how different microbial species commonly associated with laboratory-reared Drosophila melanogaster impact host biology at the level of gene expression in the dissected adult gut or the entire adult organism. We observed that guts from gnotobiotic animals associated from the embryonic stage with either zero, one or three bacterial species demonstrated indistinguishable transcriptional profiles. Additionally, we found that the gut transcriptional profiles of animals reared in the presence of the yeast Saccharomyces cerevisiae alone or in combination with bacteria could recapitulate those of conventionally-reared animals. In contrast, we found whole body transcriptional profiles of conventionally-reared animals were distinct from all of the gnotobiotic treatments tested. Our data suggest that adult flies are insensitive to the ingestion of different bacterial species but that prior to adulthood, different microbes impact the host in ways that lead to global transcriptional differences observable across the whole adult body.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line, Treatment

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accession-icon SRP123057
Mitochondrial levels globally modulate gene expression
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression activity is heterogeneous in a population of isogenic cells. Identifying the molecular basis of this variability will improve our understanding of phenomena like tumor resistance to drugs, virus infection or cell fate choice. The complexity of the molecular steps and machines involved in transcription and translation could introduce sources of randomness at many levels, but a common constraint to most of these processes is its energy dependence. In eukaryotic cells most of this energy is provided by mitochondria. A clonal population of cells may show a large variability in the number and functionality of mitochondria. Cell-to-cell differences in mitochondrial content, probably originated by asymmetric segregation at cell division, contribute to heterogeneity in gene products.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

View Samples
accession-icon GSE86198
Reprogramming Mouse Fibroblasts into Engraftable Myeloerythroid and Lymphoid Progenitors: Induction and Underlying Mechanisms
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reprogramming mouse fibroblasts into engraftable myeloerythroid and lymphoid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE86196
Reprogramming Mouse Fibroblasts into Engraftable Myeloerythroid and Lymphoid Progenitors: Induction and Underlying Mechanisms (BeadChip)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Here we show that hematopoietic transcription factors Scl, Lmo2, Runx1 and Bmi1 can convert a developmentally-distant lineage (fibroblasts) into induced hematopoietic progenitors (iHPs). We analyzed transcriptomic data for cell undergoing the transdifferentiation process at several time-points of the process.

Publication Title

Reprogramming mouse fibroblasts into engraftable myeloerythroid and lymphoid progenitors.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE22004
Mammalian microRNAs predominantly act to decrease target mRNA levels
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

MicroRNAs (miRNAs) are endogenous ~22-nucleotide RNAs that mediate important gene-regulatory events by pairing to the mRNAs of protein-coding genes to direct their repression. Repression of these regulatory targets leads to decreased translational efficiency and/or decreased mRNA levels, but the relative contributions of these two outcomes have been largely unknown, particularly for endogenous targets expressed at low-to-moderate levels. Here, we use ribosome profiling to measure the overall effects on protein production and compare these to simultaneously measured effects on mRNA levels. For both ectopic and endogenous miRNA regulatory interactions, lowered mRNA levels account for most (84%) of the decreased protein production. These results show that changes in mRNA levels closely reflect the impact of miRNAs on gene expression and indicate that destabilization of target mRNAs is the predominant reason for reduced protein output.

Publication Title

Mammalian microRNAs predominantly act to decrease target mRNA levels.

Sample Metadata Fields

Time

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accession-icon GSE61638
Regulation ofthe core pre-mRNA splicing machinery by MYC and PRMT5 is essential to sustain lymphomagenesis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MYC regulates the core pre-mRNA splicing machinery as an essential step in lymphomagenesis.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE61637
Regulation ofthe core pre-mRNA splicing machinery by MYC and PRMT5 is essential to sustain lymphomagenesis [fetal liver]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Over-expressed MYC binds to virtually all active promoters within a cell, although with different binding affinities, and modulates gene expression, both positively and negatively. Here, we show that during lymphomagenesis in E-myc transgenic mice, MYC directly up-regulates the transcription of the core snRNP assembly genes, including PRMT5, an arginine methyltransferase, that methylates Sm proteins as an early step in lymphomagenesis. This coordinated regulatory effect is direct and is critical for snRNP biogenesis, the maintenance of effective mRNA splicing and cellular viability in cycling cells, in either fibroblasts or B-cells.

Publication Title

MYC regulates the core pre-mRNA splicing machinery as an essential step in lymphomagenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE22002
Analysis of HeLa cells after transfection with miR-1 or miR-155, by microarray profiling
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MicroRNAs (miRNAs) are endogenous ~22-nucleotide RNAs that mediate important gene-regulatory events by pairing to the mRNAs of protein-coding genes to direct their repression. Repression of these regulatory targets leads to decreased translational efficiency and/or decreased mRNA levels, but the relative contributions of these two outcomes have been largely unknown, particularly for endogenous targets expressed at low-to-moderate levels. Here, we use ribosome profiling to measure the overall effects on protein production and compare these to simultaneously measured effects on mRNA levels. For both ectopic and endogenous miRNA regulatory interactions, lowered mRNA levels account for most (84%) of the decreased protein production. These results show that changes in mRNA levels closely reflect the impact of miRNAs on gene expression and indicate that destabilization of target mRNAs is the predominant reason for reduced protein output.

Publication Title

Mammalian microRNAs predominantly act to decrease target mRNA levels.

Sample Metadata Fields

Time

View Samples
accession-icon GSE22003
Analysis of mir-223 knockout cultured neutrophils versus wild-type cultured neutrophils, by microarray profiling
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

MicroRNAs (miRNAs) are endogenous ~22-nucleotide RNAs that mediate important gene-regulatory events by pairing to the mRNAs of protein-coding genes to direct their repression. Repression of these regulatory targets leads to decreased translational efficiency and/or decreased mRNA levels, but the relative contributions of these two outcomes have been largely unknown, particularly for endogenous targets expressed at low-to-moderate levels. Here, we use ribosome profiling to measure the overall effects on protein production and compare these to simultaneously measured effects on mRNA levels. For both ectopic and endogenous miRNA regulatory interactions, lowered mRNA levels account for most (84%) of the decreased protein production. These results show that changes in mRNA levels closely reflect the impact of miRNAs on gene expression and indicate that destabilization of target mRNAs is the predominant reason for reduced protein output.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
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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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Developed by the Childhood Cancer Data Lab

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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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