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accession-icon SRP045204
Human MDA-MB-231 Cell HITS-CLIP RNA sequencing
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

HITS-CLIP of control and transfected cells to find direct targetting of miR-200 family to mRNA

Publication Title

Genome-wide identification of miR-200 targets reveals a regulatory network controlling cell invasion.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP044198
HENMT1-mediated piRNA methylation is required for adult piRNA stability, TE-repression and spermatogenesis
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon

Description

HENMT1 is required for the 2’ O-methylation of mammalian piRNAs. The absence of such methylation leads to a reduction in both piRNA bulk and length, and ultimately male infertility.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP056109
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Metformin and aspirin have been studied extensively as cancer preventative and therapeutic agents. However, the underlying molecular mechanisms for the inhibitory effects of pancreatic cancer development remain largely unknown. To gain further insight into their biological function in pancreatic cancer, we conducted a transcriptomic analysis using high throughput RNA sequencing to assess the differential gene expression induced by metformin (5 mM) and aspirin (2 mM), alone or in combination, after treatment of PANC-1 cells for 48 hours. Compared to untreated control, metformin alone down-regulated 58 genes, and up-regulated 91 genes, aspirin alone down-regulated 12 genes only, while the combination of metformin and aspirin down-regulated 656 genes, and down-regulated 449 genes (fold-change > 2, P value < 10-5). Of the top 10 genes (fold-change > 10, P value < 10-10) regulated by the combination of metformin and aspirin, PCDH18, CCL2, RASL11A, FAM111B, and BMP5, were down-regulated more than 20-fold, while NGFR, NPTX1, C7orf57, MRPL23AS1 and UNC5B were up-regulated more than 10-fold. The ingenuity pathway analysis (IPA) was applied to explore the top signaling pathways regulated by metformin and aspirin. The top canonical pathways, “cholesterol biosynthesis”, “cell cycle: G1/S checkpoint regulation”, and “axonal guidance signaling” were the most statistical significant pathways that were modulated by the combination of metformin and aspirin. Although the results need further functional validation, these data provide, for the first time, a transcriptional profile of pancreatic cancer cells in response to metformin and aspirin.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP073927
Laquinimod treated splenocyte samples in EAE and Naive mice
  • organism-icon Mus musculus
  • sample-icon 109 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

No description.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon SRP117955
Early pridopidine treatment in YAC128 Huntington disease mice
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNAseq of YAC128 mice treated with pridopidine

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment

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accession-icon SRP135819
Zea mays Transcriptome or Gene expression Ears Meristem FACS RNA-seq
  • organism-icon Zea mays
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

FACS RNAseq of transgenic lines pWUS and pYAB

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon SRP194257
Caenorhabditis elegans pathogenic learning confers multigenerational pathogen avoidance
  • organism-icon Caenorhabditis elegans
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Raw sequence reads are provided for RNA-seq of parental and transgenerational worms in which the P0 were treated with OP50 (control) or PA14.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP151483
Caenorhabditis elegans strain:Bristol (N2) Raw sequence reads
  • organism-icon Caenorhabditis elegans
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Identifying transcriptional changes in adults, whose biology and behavior differsubstantially from developing animals, is important when evaluating adult phenotypes.Moreover, cell- and tissue-specific information is critical for understanding the biologyof multicellular animals. We used adult cell-specific isolation to identify thetranscriptomes of C. elegans'' major adult tissues (muscle, intestine, epidermis, andneurons).

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP067305
Mus musculus RNA-SEQ raw sequence reads
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We evaluated the therapeutic activity of the modified U1 particles in a mouse model affected by severe spinal muscular atrophy. ExSpeU1 introduced by germline transgenesis efficiently rescued the phenotype increasing SMN2 exon 7 splicing, SMN protein production and radically extending the life span.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line

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accession-icon SRP006674
ChipSeq of FoxP3 bound regions and mRNAseq data of human Treg and CD4+ Th cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

Regulatory T-cells (Treg) play an essential role in the negative regulation of immune answers by developing an attenuated cytokine response that allows suppressing proliferation and effector function of T-cells (CD4+ Th). The transcription factor FoxP3 is responsible for the regulation of many genes involved in the Treg gene signature. Its ablation leads to severe immune deficiencies in human and mice. Recent developments in sequencing technologies have revolutionized the possibilities to gain insights into transcription factor binding by ChiP-Seq and into transcriptome analysis by mRNA-Seq. We combine FoxP3 ChiP-Seq and mRNA-Seq in order to understand the transcriptional differences between primary human CD4+ T helper and regulatory T-cells, as well as to study the role of FoxP3 in generating those differences. We show, that mRNA-Seq allows analyzing the transcriptomal landscape of T-cells including the expression of specific splice variants at much greater depth than previous approaches, whereas 50% of transcriptional regulation events have not been described before by using diverse array technologies.

Publication Title

Next-generation insights into regulatory T cells: expression profiling and FoxP3 occupancy in Human.

Sample Metadata Fields

No sample metadata fields

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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)

fund-icon Fund the CCDL

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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