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accession-icon SRP092181
UMI-based, single cell RNA sequencing of human nasal epithelial cells grown for 33 days at air liquid interface
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

5' selective RNA-seq of 96 single cells from human nasal epithelial cells. Cells grown for 33 days at an air liquid interface. RNAseq profiling was performed with N4H4 unique molecular identifiers processed on a Fluidigm C1. Sequencing was performed on a Ion Proton (Life Technologies). Overall design: Single cell from human nasal epithelium. 5' selective RNAseq profiling, 96 cells, unique molecular identifiers, custom library preparation.

Publication Title

A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP071670
Transcriptome profiling of single HEK293 cells with UMIs sequenced on Ion Torrent Proton (Run 20151215)
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

5' selective RNA-seq of 47 Single HEK293 cells RNAseq profiling with N4H4 unique molecular identifiers processed on a Fluidigm C1. Overall design: Single cell HEK293 cell 5' selective RNAseq profiling, 47 cells, unique molecular identifiers, custom library preparation.

Publication Title

A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP071669
HEK293 cells 100 cell RNAseq profiling on Ion Proton
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

Five libraries from 100 HEK293 cells each were prepared using a Smartseq based custom library preparation approach with unique molecular identifiers. One batch of 2 replicates (A) and one batch of 3 replicates (B) were prepared from different cell cultures. Libraries were sequenced on an Ion Proton Overall design: HEK293 cell (100 cells) 5' selective RNAseq profiling, N4H4 unique molecular identifiers, 2 replicates (A) and 3 replicates (B)

Publication Title

A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP091919
Post-transcriptional Gene Silencing Mediated by microRNAs is Controlled by Nucleoplasmic Sfpq [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

There is a growing body of evidence about the presence and the activity of the miRISC in the nucleus of mammalian cells. Here, we show by quantitative proteomic analysis that Ago2 interacts with nucleoplasmic Sfpq in a RNA-dependent fashion. By HITS-CLIP and transcriptomic analyses, we demonstrated that Sfpq directly controls the miRNA targeting of a subset of crucial miRNA-target mRNAs when it binds locally. Sfpq modulates miRNA targeting in both nucleoplasm and cytoplasm, indicating a nucleoplasmic imprinting of Sfpq-target mRNAs that influence miRNA targeting in both cellular compartments. Mechanistically, Sfpq binds to a sizeable set of long 3'UTR forming long aggregates to optimize miRNA position/recruitment to selected binding sites, as we show for Lin28A mRNA. These results extend the miRNA-mediated post-transcriptional gene silencing into the nucleoplasm and indicate that an unique Sfpq-dependent post-transcriptional strategy for controlling both nuclear and cytoplasmic gene expression takes place in cells during physio-pathological events. Overall design: RNA-seq of P19 cells control and upon SFPQ knockdown both in triplicates

Publication Title

Post-transcriptional gene silencing mediated by microRNAs is controlled by nucleoplasmic Sfpq.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE22147
microRNAs-449 control vertebrate multi-ciliogenesis by repressing Notch signalling
  • organism-icon Homo sapiens, Xenopus laevis
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Control of vertebrate multiciliogenesis by miR-449 through direct repression of the Delta/Notch pathway.

Sample Metadata Fields

Specimen part

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accession-icon GSE22143
Transcriptomic impact of microRNAs-449 or microRNAs-34 overexpression in proliferating human airway epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarrays to detail the global programme of gene expression that occurs in response to miR-449 or miR-34 overexpression in proliferating HAECs.

Publication Title

Control of vertebrate multiciliogenesis by miR-449 through direct repression of the Delta/Notch pathway.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE22142
Transcriptome analysis during the time course of regeneration of the human airway mucociliary epithelium
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The regeneration of the airway mucociliary epithelium involves several sequential events including migration, proliferation, polarization and final differentiation (i.e ciliogenesis).

Publication Title

Control of vertebrate multiciliogenesis by miR-449 through direct repression of the Delta/Notch pathway.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE19156
Air-liquid interfacial biofilm vs planktonic S. cerevisiae cells
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Goal was to identify yeast genes whose expression changed as a function of the shift from growth in bulk culture to growth in an air-liquid interfacial biofilm.

Publication Title

Ethanol-independent biofilm formation by a flor wine yeast strain of Saccharomyces cerevisiae.

Sample Metadata Fields

Specimen part

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accession-icon SRP131463
Sequencing of Caenorhabditis elegans wildtype strain (N2) treated with T25B9.1 RNAi for 5 days after L4 larvae stage.
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Comparison of gene expression profiles from C. elegans wildtype strain (N2) treated with L4440 and T25B9.1 RNAi for 5 days after L4 larvae stage. Jena Centre for Systems Biology of Ageing - JenAge (ww.jenage.de) Overall design: 6 samples in 2 groups: N2, L4440 5 days (3 Samples); N2, T25B9.1 5 days (3 Samples)

Publication Title

Impairing L-Threonine Catabolism Promotes Healthspan through Methylglyoxal-Mediated Proteohormesis.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE149490
Transcriptional Profiling of Lung Macrophages from Preterm Infants Identifies Disease Related Programs
  • organism-icon Homo sapiens
  • sample-icon 218 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

To understand the molecular mechanisms of human lung macrophage development, function, and role in BPD pathogenesis, we conducted a clinical study using isolated tracheal aspirate macrophages from intubated preterm infants born before 30 wk gestation. One hundred twenty-eight patients intubated for respiratory distress syndrome and surfactant administration were consented for the study.

Publication Title

Transcriptional profiling of lung macrophages identifies a predictive signature for inflammatory lung disease in preterm infants.

Sample Metadata Fields

Sex, Treatment

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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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