refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 270 results
Sort by

Filters

Technology

Platform

accession-icon GSE81737
Expression profiling of mural granulosa cells after heat-stress (HS) vs. pair-fed (PF) conditions
  • organism-icon Bos taurus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.0 ST Array (bovgene10st)

Description

High environmental temperatures induce detrimental effects on various reproductive processes in cattle. According to the predicted global warming the number of days with unfavorable ambient temperatures will further increase. The objective of this study was to investigate effects of acute heat stress during the late pre-ovulatory phase on morphological, physiological and molecular parameters of dominant follicles in cycling cows during lactation. Eight German Holstein cows in established lactation were exposed to heat stress (28C) or thermoneutral conditions (15C) with pair-feeding for four days. After synchronization growth of dominant follicles was monitored by ultrasonogrphy, and 21 hrs after an induced pre-ovulatory LH surge antral steroid hormones and granulosa cell-specific gene expression profiles were determined. The data showed that the pre-ovulatory growth of dominant follicles and the estradiol, but not the progesterone concentrations tended to be slightly affected. mRNA microarray and hierarchical cluster analysis revealed distinct expression profiles in granulosa cells derived from heat stressed compared to pair-fed animals. Among the 255 affected genes heatstress-, stress- or apoptosis associated genes were not present. But instead, we found up-regulation of genes essentially involved in G-protein coupled signaling pathways, extracellular matrix composition, and several members of the solute carrier family as well as up-regulation of FST encoding follistatin. In summary, the data of the present study show that acute pre-ovulatory heat stress can specifically alter gene expression profiles in granulosa cells, however without inducing stress related genes and pathways and suggestively can impair follicular growth due to affecting the activin-inhibin-follistatin system.

Publication Title

Exposure of Lactating Dairy Cows to Acute Pre-Ovulatory Heat Stress Affects Granulosa Cell-Specific Gene Expression Profiles in Dominant Follicles.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE46996
The pre-ovulatory LH surge elicits different effects on the granulosa- and theca-specific expression profiles in bovine follicles
  • organism-icon Bos taurus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

The molecular mechanisms that regulate the pivotal transformation processes observed in the follicular wall following the pre-ovulatory LH-surge, are still not established, particularly for cells of the thecal layer. To elucidate thecal and granulosa cell type-specific biological functions and signaling pathways, large dominant bovine follicles were collected before and 21 hrs after an exogenous GnRH induced LH surge. Because LH receptor density varies within the granulosa cell populations, antral granulosa (aGC; those aspirated by follicular puncture) and membrane associated granulosa (mGC; those scraped from the follicular wall) were compared to thecal cell expression profiles determined by mRNA microarrays. Thecal cell gene expression was less affected in the peri-ovulatory follicle when compared to granulosa cells, as evidenced by only 2% versus 25% of the ~11,000 genes expressed changing in response to the LH surge, respectively. The majority of the 203 LH-regulated thecal genes were also LH regulated in granulosa cells, leaving a total of 58 genes as LH-regulated theca cell specific genes. Most of the 58 genes (i.e., 74%) thecal specific genes including several known thecal markers (CYP17A1, NR5A1) were downregulated, while most genes identified are new to theca. Many of the newly identified upregulated thecal genes (e.g., PTX3, RND3, PPP4R4) were also upregulated in granulosa. Minimal expression differences were observed between aGC and mGC, however, transcripts encoding extracellular proteins (NID2) and matrix modulators (ADAMTS1, SASH1) predominated these differences. We also identified large numbers of unknown LH-regulated granulosa cell genes and discuss their putative roles in ovarian function.

Publication Title

Research resource: preovulatory LH surge effects on follicular theca and granulosa transcriptomes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE147231
Identification of human cytotoxic ILC3s
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Pico Assay HT (clariomshumanht)

Description

Human ILCs are classically categorized into five subsets; cytotoxic CD127-CD94+ NK cells and non-cytotoxic CD127+CD94-, ILC1s, ILC2s, ILC3s and LTi cells. Here, we identify a novel subset within the CD127+ ILC population, characterized by the expression of the cytotoxic marker CD94. These CD94+ ILCs strongly resemble conventional ILC3s in terms of phenotype, transcriptome and cytokine production, but are highly cytotoxic. IL-15 was unable to induce differentiation of CD94+ ILCs towards mature NK cells. Instead, CD94+ ILCs retained RORγt, CD127 and CD200R expression and produced IL-22 in response to IL-15. Culturing non-cytotoxic CD127+ ILC1s or ILC3s with IL-12 induced upregulation of CD94 and cytotoxic activity, effects that were not observed with IL-15 stimulation. Thus, human helper ILCs can acquire a cytotoxic program without differentiating into NK cells.

Publication Title

Identification of human cytotoxic ILC3s.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP018886
Global analyses of how 3'' UTR-isoform choice influences mRNA stability and translational efficiency
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina Genome Analyzer II

Description

We obtained global measurements of decay and translation rates for mammalian mRNAs with alternative 3'' untranslated regions (3'' UTRs). Overall design: 1 3P-Seq sample from 3T3 cells and 1 3P-Seq sample from mouse ES cells; 2 2P-Seq steady state and 4 2P-Seq with actinomycin D; 6 polysome fraction 2P-Seq

Publication Title

3' UTR-isoform choice has limited influence on the stability and translational efficiency of most mRNAs in mouse fibroblasts.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE39591
Tumoral transcriptome profiling of tPTEN-/- mice.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

tPTEN-/- mice display a deletion of the PTEN tumor suppressor gene specifically in T cells (cross PTEN flox/flox x lck-Cre). They develop T cell lymphoma with a primary thymic tumor and invasion of most organ at late stage of the disease.

Publication Title

Pharmacological inhibition of carbonic anhydrase XII interferes with cell proliferation and induces cell apoptosis in T-cell lymphomas.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon SRP078070
Med1 is Necessary for Cardiac Function
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Analysis of ventricular derived mRNA from Med1fl/fl and Med1fl/fl cardiac knockout mice. Results provide insight into the molecual rmechanisms underlying dilated cardiomyopathy. Overall design: Methods: Ventricular samples (4 per group) from 21-day-old Med1fl/fl and Med1 cardiac knockout mice were used to generate polyA enriched stranded RNA libraries followed by RNAseq using the Illumina HiSeq platform. Raw sequence reads were analyzed with BaseSpace (www.illumina.com) by aligning reads to the mus musculus mm10 genome using the TopHat Alignment app. Transcripts were assembled and significant differentially expressed genes were determined with the Cufflinks Assembly and DE app using a false discovery rate <0.05. qRT–PCR validation was performed using SYBR Green assays

Publication Title

Cardiac Med1 deletion promotes early lethality, cardiac remodeling, and transcriptional reprogramming.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP049508
Constraint and divergence of global gene expression in the mammalian embryo
  • organism-icon Mus musculus
  • sample-icon 174 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000, IlluminaGenomeAnalyzerIIx

Description

We profiled genome-wide gene expression of 170 individual mid-gestation (embryonic day 11.5) whole mouse embryos derived from a 2-generation interspecies mouse cross and asked to what extent genetic variation drives four important parameters of regulatory architecture: allele-specific expression (ASE), imprinting, trans-regulatory effects, and maternal effect. The inbred strain C57BL/6J and wild-derived inbred strain CAST/EiJ were used in reciprocal crosses to generate F1 embryos. F1 progeny were backcrossed to C57BL/6J in reciprocal crosses to generate 154 N2 embryos. We employed a backcross design, in which N2 offspring have genotypically distinct parents, to enable comparison of gene expression for offspring from each side of the reciprocal cross. Our findings demonstrate that genetic variation contributes to widespread gene expression differences during mammalian embryogenesis. Overall design: Transcriptome analysis of E11.5 mouse embryos: 16 F1 embryos from reciprocally crossed C57BL/6J and CastEi/J parents; and 154 N2 embryos from reciprocal backcross of F1s to the C57BL/6J parent.

Publication Title

Constraint and divergence of global gene expression in the mammalian embryo.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26717
Microarray analysis of R7 and R8 targeting
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The formation of neuronal connections requires the precise guidance of developing axons towards their targets. In the Drosophila visual system, photoreceptor neurons (R cells) project from the eye into the brain. These cells are grouped into some 750 clusters comprised of eight photoreceptors or R-cells each. R cells fall into three classes, R1-R6, R7 and R8. Posterior R8 cells are the first to project axons into the brain. How these axons select a specific pathway is not known.

Publication Title

Robo-3--mediated repulsive interactions guide R8 axons during Drosophila visual system development.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP127325
Patient-derived organoids (PDOs) model treatment response of metastatic gastrointestinal cancers.
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We report RNAseq data from subsequent passages of five organoid cultures. Overall design: RNA extracted from subsequent PDO passages was subjected to RNAseq.

Publication Title

Patient-derived organoids model treatment response of metastatic gastrointestinal cancers.

Sample Metadata Fields

Disease, Subject

View Samples
accession-icon GSE48301
Mesenchymal Stem/Progenitors and Other Endometrial Cell Types from Women with Polycystic Ovary Syndrome (PCOS) Display Inflammatory and Oncogenic Potential
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Context: Endometrium in polycystic ovary syndrome (PCOS) presents altered gene expression indicating progesterone resistance and predisposing to reduced endometrial receptivity and endometrial cancer. Objective: We hypothesized that an altered endocrine/metabolic environment in PCOS may result in an endometrial disease phenotype affecting the gene expression of different endometrial cell populations, including stem cells and their differentiated progeny. Design and setting: A prospective study conducted at an academic medical center. Patients and Main Outcome Measures: Proliferative phase endometrium was obtained from 6 overweight/obese PCOS (NIH criteria) and 6 overweight/obese controls. Microarray analysis was performed on fluorescence-activated cell sorting (FACS)-isolated endometrial epithelial cells (eEP), endothelial cells (eEN), stromal fibroblasts (eSF) and mesenchymal stem cells (eMSC). Gene expression data were validated using microfluidic Q-RT-PCR and immunohistochemistry (IHC). Results: The comparison between eEPPCOS and eEPCtrl showed dysregulation of inflammatory genes and genes with oncogenic potential (CCL2, IL-6, ORM1, TNAIFP6, SFRP4, SPARC). eSFPCOS and eSFCtrl showed upregulation of inflammatory genes (C4A/B, CCL2, ICAM1, TNFAIP3). Similarly, in eMSCPCOS vs. eMSCCtrl the most upregulated genes were related to inflammation and cancer (IL-8, ICAM1, SPRR3, LCN2). IHC scoring showed increased expression of CCL2 in eEPPCOS and eSFPCOS compared to eEPCtrl and eSFCtrl and IL-6 in eEPPCOS compared to eEPCtrl. Conclusions: Isolated endometrial cell populations in women with PCOS showed altered gene expression revealing inflammation and pro-oncogenic changes, independent of BMI, especially in eEPPCOS and eMSCPCOS, compared to controls. The study reveals an endometrial disease phenotype in women with PCOS with potential negative effects on endometrial function and long-term health.

Publication Title

Mesenchymal stem/progenitors and other endometrial cell types from women with polycystic ovary syndrome (PCOS) display inflammatory and oncogenic potential.

Sample Metadata Fields

Sex, Specimen part

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