refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 420 results
Sort by

Filters

Technology

Platform

accession-icon GSE67087
Gene expression profiling of the palate in Erk2 mutant mouse models
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The overall goal of this project is to investigate the role of Erk2-mediated signaling in regulating the cellular metabolism of cranial neural crest (CNC) cells during palate development. Here, we conducted gene expression profiling of palate tissue from wild type mice as well as those with a neural crest specific conditional inactivation of the Erk2 gene. The latter mice exhibit micrognathia, tongue defects and cleft palate, which is among the most common congenital birth defects and observed in many syndromic conditions.

Publication Title

Disruption of the ERK/MAPK pathway in neural crest cells as a potential cause of Pierre Robin sequence.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE20165
Expression data from white and brown adipose tissue (WAT and BAT) of per2-/- and control mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We found that the circadian protein PER2 interacts with the nuclear receptor PPARgamma to repress its activity. PPARgamma is a master regulator of adipogenesis and lipid metabolism and is very abundant in adipose tissue. We used microarrays to detail the global program of gene expression in adipose tissue lacking the per2 gene. This analysis identified several PPARgamma target genes up-regulated in adipose tissue from per2-/- mice.

Publication Title

PER2 controls lipid metabolism by direct regulation of PPARγ.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP061888
RNA-Sequencing shows novel transcriptomic signatures in failing and non-failing human heart
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The knowledge of an expression network signature in end-stage heart failure (HF) diseased hearts may offer important insights into the complex pathogenesis of advanced cardiac failure, as well as it may provide potential targets for therapeutic intervention. In this study, the NGS sequencing of RNA (RNA-Seq) method was employed to obtain the whole transcriptome of cardiac tissues from transplant recipients with advanced stage of HF. The analysis of RNA-Seq data presents novel challenges and many methods have been developed for the purpose of mapping reads to genomic features and quantifying gene expression. The main goal of this work was to identify, characterize and catalogue all the transcripts expressed within cardiac tissue and to quantify the differential expression of transcripts in both physio- and pathological conditions through whole transcriptome analyses. Expression levels, differential splicing, allele-specific expression, RNA editing and fusion transcripts constitute important information when comparing samples for disease related studies. Analysis methods for RNA-Seq data are continuing to evolve. Thus, in order to find the best solution for filter generated list of differentially expressed genes, an informatic approach of NOISeq BIO method has been applied in this RNA-Seq analysis. Most of the genes obtained by filtering differentially expressed gene list, have been experimentally validated by Real time RT-PCR. Noteworthy, these findings provide valuable resources for further studies of the molecular mechanisms involved in heart ischemic response thus leading to potential novel biomarkers and targets for therapeutic intervention in the onset and progression of cardiomyopathies. Overall design: Heart biopsies from candidates for solid organ transplantation were collected and their RNA samples were used for high-throughput sequencing purposes. Libraries were sequenced on the Illumina HiSeq2000 NGS platform.

Publication Title

Heart failure: Pilot transcriptomic analysis of cardiac tissue by RNA-sequencing.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP007650
RNA-seq and expression profile of WT and ZFP57 KO ES cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

RNA-seq and expression profile of WT and ZFP57 KO ES cells Overall design: RNA was extracted from both cell lines, PolyA RNA were extracted and RNA-seq was performed

Publication Title

In embryonic stem cells, ZFP57/KAP1 recognize a methylated hexanucleotide to affect chromatin and DNA methylation of imprinting control regions.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE46356
Expression data from mouse cecum
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To adapt the lives of organisms to the day-night cycle, evolution has built a complex machinery, whose molecular components are able to anticipate and drive changes in organism behavior and metabolism. A mutual bidirectional interaction exists between circadian abnormalities and development of diseases.

Publication Title

Circadian clock regulates the host response to Salmonella.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE17063
SOCS-3 in muscle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Aims/hypothesis Due to their ability to regulate various signalling pathways (cytokines, hormones, growth factors), the suppressor of cytokine signalling (SOCS) proteins are thought to be promising therapeutic targets for metabolic and inflammatory disorders. Hence, their role in vivo has to be precisely determined.

Publication Title

Constitutive expression of suppressor of cytokine signalling-3 in skeletal muscle leads to reduced mobility and overweight in mice.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP052612
Loss of endometrial plasticity in recurrent pregnancy loss (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

In order to try and identify characteristics of gene expression in the endometrium of women suffering infertility or recurrenty miscarriage, we performed RNAseq on endometrial pipelle biopsies from 20 women. The endometrial transcriptome in the mid-luteal phase of the cycle (window of implantation) is highly divergent in women suffering infertility or miscarriages. Overall design: 20 mid-luteal endometrial biopsies were analysed from infertile women and patients suffering recurrent pregnancy loss. 

Publication Title

Loss of Endometrial Plasticity in Recurrent Pregnancy Loss.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP069147
ZFP57 maintains the parent-of-origin-specific expression of the imprinted genes and differentially affects non-imprinted targets in mouse embryonic stem cells (RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

ZFP57 is necessary for maintaining repressive epigenetic modifications at Imprinting control regions (ICRs). In mouse embryonic stem cells (ESCs), ZFP57 binds ICRs (ICRBS) and many other loci (non-ICRBS). To address the role of ZFP57 on all its target sites, we performed high-throughput and multi-locus analyses of inbred and hybrid mouse ESC lines carrying different gene knockouts. By using an allele-specific RNA-seq approach, we demonstrate that ZFP57 loss results in derepression of the imprinted allele of multiple genes in the imprinted clusters. We also find marked epigenetic differences between ICRBS and non-ICRBS suggesting that different cis-acting regulatory functions are repressed by ZFP57 at these two classes of target loci. Overall, these data demonstrate that ZFP57 is pivotal to maintain the allele-specific epigenetic modifications of ICRs that in turn are necessary for maintaining the imprinted expression over long distances. At non-ICRBS, ZFP57 inactivation results in acquisition of epigenetic features that are characteristic of poised enhancers, suggesting that another function of ZFP57 in early embryogenesis is to repress cis-acting regulatory elements whose activity is not yet required. Overall design: Examination of mRNA levels in Zfp57-/- mouse ESCs compared to the wild-type.

Publication Title

ZFP57 maintains the parent-of-origin-specific expression of the imprinted genes and differentially affects non-imprinted targets in mouse embryonic stem cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP167106
Dynamic transcriptome profiles within spermatogonial and spermatocyte populations during postnatal testis maturation revealed by single-cell sequencing
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This analysis represents the first comprehensive sampling of germ cells in the developing testis over time, at high-resolution, single-cell depth. From these analyses, we have not only revealed novel genetic regulatory signatures of murine germ cells over time, but have also demonstrated that cell types positive for a single marker gene have the capacity to change dramatically during testis maturation, and therefore cells of a particular “identity” may differ significantly from postnatal to adult life. Overall design: Single-cell suspensions of mammalian testes ranging from PND6 to adult were processed for single-cell RNAseq (10x Genomics Chromium) and libraries were sequenced on a NextSeq500 (Illumina).

Publication Title

Dynamic transcriptome profiles within spermatogonial and spermatocyte populations during postnatal testis maturation revealed by single-cell sequencing.

Sample Metadata Fields

Age, Disease, Cell line, Subject

View Samples
accession-icon SRP055023
Neonatal na誰ve CD8+ T cells have effector-like gene expression that prevents memory cell formation [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Neonates are intrinsically defective at creating memory CD8+ T cells in response to infection with intracellular pathogens. Here we investigated differential of small RNAs, transcription factors, and chemokine receptors regulation in neonates as compared to adults before and during infection. We found that prior to infection, na誰ve cells have a different expression profile for many microRNAs, and gene targets of these microRNAs show widespread expression differences. These targets and other changes in gene expression in na誰ve cells result in neonatal cells that get activated more easily, express chemokine receptors that home to sites of infection, and are less protected from apoptosis during contraction. As a result, changes in neonatal na誰ve cells drive effector cell terminal differentiation at the expense of creating long-lived memory cells. Overall design: total RNAs were sequenced from adult and neonatal CD8+ T cells before and during infection

Publication Title

MicroRNAs and Their Targets Are Differentially Regulated in Adult and Neonatal Mouse CD8+ T Cells.

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact