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accession-icon GSE13590
Experimental identification of microRNA-140 targets by silencing and overexpressing miR-140
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

MicroRNAs (miRNAs) are short noncoding RNA molecules regulating the expression of mRNAs. Target identification of miRNAs is computationally difficult due to the relatively low homology between miRNAs and their targets. We present here an experimental approach to target identification where the cartilage-specific miR-140 was overexpressed and silenced in cells it is normally expressed in separate experiments. Expression of mRNAs was profiled in both experiments and the intersection of mRNAs repressed by miR-140 overexpression and derepressed by silencing of miR-140 was identified. The intersection contained only 49 genes, although both treatments affected the accumulation of hundreds of mRNAs. These 49 genes showed a very strong enrichment for the miR-140 seed sequence implying that the approach is efficient and specific. 21 of these 49 genes were predicted to be direct targets based on the presence of the seed sequence. Interestingly, none of these were predicted by the published target prediction methods we used. One of the potential target mRNAs, Cxcl12, was experimentally validated by Northern blot analysis and a luciferase reporter assay.

Publication Title

Experimental identification of microRNA-140 targets by silencing and overexpressing miR-140.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP002308
High-throughput sequencing of small RNAs in Vitis vinifera
  • organism-icon Vitis vinifera
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Vitis vinifera endogenous small RNAs Overall design: Size fractionated small RNA from total RNA extracts of Vitis vinifera leaves, inflorescences, tendrils and small berries were ligated to adapters, purified again and reverse transcribed. After PCR amplification the sample was subjected to Solexa/Illumina high throughput pyrosequencing. Please see www.illumina.com for details of the sequencing technology.

Publication Title

Identification of grapevine microRNAs and their targets using high-throughput sequencing and degradome analysis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP002309
microRNA-target RNA pairs revealed by Parallel analysis of RNA ends in Vitis vinifera
  • organism-icon Vitis vinifera
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina Genome Analyzer

Description

Vitis vinifera RNA degradome Overall design: Isolated polyadenylated RNA from total RNA extracts of Vitis vinifera leaves, were ligated to 5'-adapter that include san MmeI recognition site. The ligated products were purified again, reverse transcribed and cleaved with MmeI. The 5' fragments were purified from gel and to a 3'- dsDNA adapter and PCR amplified. After PCR amplification the sample was subjected to Solexa/Illumina high throughput pyrosequencing. Please see www.illumina.com for details of the sequencing technology.

Publication Title

Identification of grapevine microRNAs and their targets using high-throughput sequencing and degradome analysis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP077289
Using RNA Seq to validate transcriptional profile data obtained by Nanostring analysis
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Purpose : The goal of this study was to use RNA Seq to validate transcriptional data of two clinical isolates focussing on a subset of 74 transcript that were selected specifically for Nanostring analysis. Methods : mRNA profiles were generated for the clinical isolates FRD1 and CI224_M, in duplicate, by deep sequencing. Strains were grown for 8 hours in LB medium at 37C prior to RNA harvest. Ribosomal RNA was removed using the Ribi-Zero rRNA Removal Kit (Epicentre). mRNA reads were trimmed and mapped to the PAO1 NC_002516 reference genome from NCBI using the ClC Genomics Workbench platform and defaut parameters. Overall design: mRNA profiles of liquid cultures grown for 8 hours in LB at 37C were generated for P. aeruginosa clinical isolates FRD1 and CI224_M, each in duplicate, by deep sequencing using Illumina NextSeq.

Publication Title

Use of a Multiplex Transcript Method for Analysis of Pseudomonas aeruginosa Gene Expression Profiles in the Cystic Fibrosis Lung.

Sample Metadata Fields

Disease, Subject

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accession-icon GSE74410
Prdm1
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Single-cell RNA-seq reveals cell type-specific transcriptional signatures at the maternal-foetal interface during pregnancy.

Sample Metadata Fields

Specimen part

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accession-icon SRP065344
Single-cell RNA-seq transcriptome profiling of Prdm1+ lineages in E9.5 mouse placenta
  • organism-icon Mus musculus
  • sample-icon 77 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Our goal was to transcriptionally profile Prdm1+ cell lineages of maternal and embryonic origin in mid-gestation mouse placenta in order to study vascular mimicry and additional processes in the placenta. Overall design: Profiling of 61 single cells and 17 clusters of 2 or 3 cells chosen based on expression of Prdm1, a paternally inherited Prdm1-Venus fluorescent reporter, progenitor trophoblast marker Gjb3 and spiral artery trophoblast giant cell marker Prl7b1.

Publication Title

Single-cell RNA-seq reveals cell type-specific transcriptional signatures at the maternal-foetal interface during pregnancy.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE74409
Molecular function of Prdm1/Blimp1 in trophoblast giant cell differentiation.
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Expression profiling of wild-type and Prdm1 null mouse trophoblast giant cell cultures using Illumina whole genome mouse V2 arrays.

Publication Title

Single-cell RNA-seq reveals cell type-specific transcriptional signatures at the maternal-foetal interface during pregnancy.

Sample Metadata Fields

Specimen part

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accession-icon SRP057101
Smyd3 is a transcriptional potentiator of multiple cancer-promoting genes and required for liver or colon cancer development
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

Smyd3 is a histone methyltransferase implicated in tumorigenesis. Here we show that Smyd3 expression in mice is required but not sufficient for chemically induced liver and colon cancer formation. In these organs Smyd3 is functioning in the nucleus as a direct transcriptional activator of several key genes involved in cell proliferation, epithelial-mesenchymal transition, JAK/Stat3 oncogenic pathways, as well as of the c-myc and b-catenin oncogenes. Smyd3 specifically interacts with H3K4Me3-modified histone tails and is recruited to the core promoter regions of many but not all active genes. Smyd3 binding density on target genes positively correlates with increased RNA Pol-II density and transcriptional outputs. The results suggest that Smyd3 is an essential transcriptional potentiator of a multitude of cancer-related genes. Overall design: Standard Smyd3-deficient (Smyd3-KO) mice were generated using gene-trap ES cell clones (AS0527 from International Gene Trap Consortium), in which a selection cassette, containing the splice acceptor site from mouse EN2 exon 2 followed by the beta-galactosidase and neomycin resistance gene fusion gene and the SV40 polyadenylation sequence was inserted into the 5th intron of the Smyd3 gene. The resulting mice were devoid of Smyd3 mRNA and protein in all tissues, including liver and colon. For the generation of Smyd3-Tg mice the open reading frame of the mouse Smyd3 cDNA, which contained 3 Flag epitopes at the 3’ end was inserted into the StuI site of the pTTR1-ExV3 plasmid (Yan et al, 1990). The 6.8 kb HindIII fragment containing the mouse transthyretin enhancer/promoter, intron 1, Smyd3 cDNA, three Flag epitopes and SV40 poly-A site was used to microinject C57Bl/6 fertilized oocytes. Founder animals were identified by Southern blotting and crossed with F1 mice to generate lines. Specific overexpression in the liver was tested by RT-PCR analysis in different tissues.

Publication Title

Smyd3 Is a Transcriptional Potentiator of Multiple Cancer-Promoting Genes and Required for Liver and Colon Cancer Development.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP161807
Single cell RNA sequencing identifies unique inflammatory airspace macrophage subsets
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In this study, we characterize transciprtional phenotypes of airway macrophagages (AMs) throughout homeostatsis, inflammation, and repair at single cell granularity. We confirm that cell origin is the major determinant of AM programing and describe two previously uncharacterized, transcriptionally distinct subdivisions of AMs based on proliferative capacity and inflammatory programing. Overall design: We stimulated mice with LPS and then sampled FACs sorted airway macrophage cells using BAL at Days 0, 3, and 6 and sequenced 1,134 cells from these three groups using RNA-seq

Publication Title

Single cell RNA sequencing identifies unique inflammatory airspace macrophage subsets.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP098939
Long ncRNA Landscape in the Ileum of Treatment Naïve Early Onset Crohn Disease
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Objective: Long non-coding RNAs (lncRNA) regulate gene transcription and diverse cellular functions. We previously defined a novel core inflammatory and metabolic ileal gene signature in treatment naïve pediatric Crohn Disease (CD), however, genome-wide characterization of lncRNA expression was lacking. We now extend our analyses to define a more comprehensive view that includes lncRNA. Design: Using RNAseq, we performed a systematic profiling of lncRNAs and protein-coding genes expression in 177 ileal biopsies. Co-expression analysis was used to identify functions and tissue-specific expression. RT-PCR was used to test lncRNAs regulation by IL-1ß in Caco-2 enterocytes model. Results: We characterize a widespread dysregulation of 459 lncRNA in the ileum of treatment naïve pediatric CD patients. Unsupervised and supervised classifications using the 459 lncRNA showed comparable patients' grouping as the 2160 dysregulated protein-coding genes, linking lncRNA to CD pathogenesis. Co-expression and functional annotation enrichment analyses across several tissues and cell types showed that the up-regulated LINC01272 is associated with a myeloid pro-inflammatory signature while the down-regulated HNF4A-AS1 exhibits association with an epithelial metabolic signature. We further validated expression and regulation of prioritized lncRNA upon IL-1ß exposure in differentiated Caco-2 cells. Finally, we identified significant correlations between LINC01272 and HNF4A-AS1 expression and more severe mucosal injury. Conclusion: We define differentially expressed lncRNA in the ileum of treatment naive pediatric CD. We show lncRNA utility to correctly classify disease or healthy states and demonstrate their regulation in response to an inflammatory signal. These lncRNA, after mechanistic exploration, may serve as potential new targets for RNA-based interventions. Overall design: Using RNAseq, we performed a systematic profiling of lncRNAs and protein-coding genes expression in 21 days differentiated caco-2 cells

Publication Title

Long ncRNA Landscape in the Ileum of Treatment-Naive Early-Onset Crohn Disease.

Sample Metadata Fields

Specimen part, 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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