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accession-icon SRP124503
A revised airway epithelial hierarchy includes CFTR-expressing ionocytes
  • organism-icon Mus musculus
  • sample-icon 325 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Airways conduct gases to the lung and are disease sites of asthma and cystic fibrosis. Here we study the cellular composition and hierarchy of the mouse tracheal epithelium by single-cell RNA-sequencing (scRNA-seq) and in vivo lineage tracing. We identify a rare cell type, the Foxi1+ pulmonary ionocyte; functional variations in club cells by proximodistal location; a distinct cell type in high turnover squamous epithelial structures that we term ''hillocks''; and disease-relevant subsets of tuft and goblet cells. We developed ''pulse-seq'' , combining scRNA-seq and lineage tracing, to show that tuft, neuroendocrine and ionocyte cells are continually and directly replenished by basal progenitor cells. Ionocytes are the major source of transcripts of the cystic fibrosis transmembrane conductance regulator in both mouse (Cftr) and human (CFTR). Knockout of Foxi1 in mouse ionocytes causes loss of Cftr expression and disrupts airway fluid and mucus physiology, phenotypes that characterize cystic fibrosis. By associating cell-type-specific expression programs with key disease genes, we establish a new cellular narrative for airways disease. Overall design: To understand normal tissue homeostasis, untreated cells were profiled using both 3''-droplet-based and full length plate-based single-cell RNAseq, in combination with genetic reporter-based lineage tracing.

Publication Title

A revised airway epithelial hierarchy includes CFTR-expressing ionocytes.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

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accession-icon E-MEXP-1195
Transcription profiling of rat to investigate effects of hyperglycaemi and genetic background on gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Effects of hyperglycaemia and genetic background differences on renal gene expression

Publication Title

Comparative analysis of methods for gene transcription profiling data derived from different microarray technologies in rat and mouse models of diabetes.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon SRP033417
Snapshots of pre-rRNA structural flexibility reveal eukaryotic 40S assembly dynamics at nucleotide resolution
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Ribosome assembly in eukaryotes involves the activity of hundreds of assembly factors that direct the hierarchical assembly of ribosomal proteins and numerous ribosomal RNA folding steps. However, detailed insights into the function of assembly factors and ribosomal RNA folding events are lacking. To address this, we have developed ChemModSeq, a method that combines structure probing, high throughput sequencing and statistical modeling, to quantitatively measure RNA structural rearrangements during the assembly of macromolecular complexes. By applying ChemModSeq to purified 40S assembly intermediates we obtained nucleotide-resolution maps of ribosomal RNA flexibility revealing structurally distinct assembly intermediates and mechanistic insights into assembly dynamics not readily observed in cryo-electron microscopy reconstructions. We show that RNA restructuring events coincide with the release of assembly factors and predict that completion of the head domain is required before the Rio1 kinase enters the assembly pathway. Collectively, our results suggest that 40S assembly factors regulate the timely incorporation of ribosomal proteins by delaying specific folding steps in the 3’ major domain of the 20S pre-ribosomal RNA. Overall design: Three datasets of yeast ribosomal samples subjected to different chemical modifications; 1M7 dataset contains 8 different modified samples and 2 control samples; NAI dataset contains 3 different modified samples and 2 control samples; DMS dataset contains 1 modified sample and 1 control sample. Each sample consists of at least two replicates.

Publication Title

Snapshots of pre-rRNA structural flexibility reveal eukaryotic 40S assembly dynamics at nucleotide resolution.

Sample Metadata Fields

Disease, Cell line, Treatment, Subject

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accession-icon SRP028166
RNA sequencing analysis of abdominal adipose tissue in 7 week old juvenile broiler chickens divergently selected for high or low body weight
  • organism-icon Gallus gallus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Chickens divergently selected for either high growth (HG genotype) or low growth (LG genotype) at SRA-INRA, France were used to profile abdominal adipose gene expression at 7 wk of age. The HG and LG chickens are different in various phenotypic and metabolic measurements, including growth rate, abdominal fat, plasma glycemia, insulinemia, T4, T3, triglyceride and NEFA. The HG and LG chickens are valuable as a model for biomedical and agricultural traits. Massively parallel RNA sequencing (RNA-Seq) was completed on an Illumina HiSeq 2000 System for transcription analysis of HG and LG abdominal fat. Need information on data processing, statistical analysis, and differential expression. Keywords: abdominal fat, divergently selected chickens, growth, transcriptional profiling, differentially expressed genes Overall design: Abdominal fat mRNA profiles of high growth (HG genotype) or low growth (LG genotype) chickens at 7 weeks of age were generated by deep sequencing (on an Illumina HiSeq 2000 system).

Publication Title

Transcriptional analysis of abdominal fat in chickens divergently selected on bodyweight at two ages reveals novel mechanisms controlling adiposity: validating visceral adipose tissue as a dynamic endocrine and metabolic organ.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon SRP139787
NOTCH-mediated non-cell autonomous regulation of chromatin structure during senescence [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We decribe the accessible chormatin landscape in RAS-induced (RIS) and NOTCH induced senescence (NIS) using ATAC-seq. By expressing active NOTCH (N1ICD) in the context of RIS, we find that N1ICD antagonises the formation of accessible regions in RIS. By performing co-cultures, we demonstrate that cells expressing a NOTCH1 ligand, JAGGED1, can antagonise the formation of RIS specific accessible regions. Overall design: mRNA profiles were IMR90 cells expressing ER:HRAS(G12V) and a control vector or MSCV miR30 shHMGA1 were generated. 6 biological replicates.

Publication Title

NOTCH-mediated non-cell autonomous regulation of chromatin structure during senescence.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE51925
Aged Mice are Unable to Mount an Effective Myeloid Response to Sepsis
  • organism-icon Mus musculus
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Old C57BL/6 mice cannot mount an effective innate immune response

Publication Title

Aged mice are unable to mount an effective myeloid response to sepsis.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon E-MEXP-893
Transcription profiling by array of hepatocytes from mice fed a high fat diet
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430B Array (moe430b), Affymetrix Mouse Expression 430A Array (moe430a)

Description

Effect of high fat diet feeding on gene expression

Publication Title

Subtle metabolic and liver gene transcriptional changes underlie diet-induced fatty liver susceptibility in insulin-resistant mice.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE70418
A Detailed Characterization of the Dysfunctional Immunity and Abnormal Myelopoiesis Induced by Severe Shock and Trauma in the Aged
  • organism-icon Mus musculus
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The polytrauma (PT) murine model has unique transcriptomic responses 2 hrs, 1 day and 3 days after injury. We determined with this clinically relevant model that the increased morbidity in the elderly is secondary to a failure of bone marrow progenitors, blood neutrophils, and bronchoalveolar lavage cells to initiate and complete an 'emergency myelopoietic' response, engendering myeloid cells that fail to clear secondary infection. In addition, the elderly appear unable to effectively resolve their inflammatory response to severe injury.

Publication Title

A Detailed Characterization of the Dysfunctional Immunity and Abnormal Myelopoiesis Induced by Severe Shock and Trauma in the Aged.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE98302
Sonic Hedgehog subgroup medulloblastomas
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

ATOH1 Promotes Leptomeningeal Dissemination and Metastasis of Sonic Hedgehog Subgroup Medulloblastomas.

Sample Metadata Fields

Specimen part

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accession-icon GSE98298
Transcriptomic analysis of primary and metastatic Sonic Hedgehog subgroup medulloblastomas
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

We report findings that illuminate a dynamic metastasis pathway in the common pediatric brain tumor medulloblastoma.

Publication Title

ATOH1 Promotes Leptomeningeal Dissemination and Metastasis of Sonic Hedgehog Subgroup Medulloblastomas.

Sample Metadata Fields

No sample metadata fields

View Samples

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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