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accession-icon SRP131203
Effects of Hif1a mutation and maternal diabetes on the offspring heart
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We analysed the combined effects of exposure to maternal diabetes and disrupted HIF-1 signaling on the transcriptom in cardiac left ventricles of 12 weeks old male mice. This approach provides the information about the long term changes originating in utero due to maternal diabetes and inefficient response to hypoxia which develops as a result of hyperglycemia. The majority of changes were detected in Hif1a insufficient mice exposed to maternal diabetes. Overall design: Streptozotocin induced diabetic FVB females were mated with non-diabetic males with global heterozygous deletion of Hif1a (Hif1a+/-). Total RNA was extracted from the LV of the hearts of 12-week-old male offspring in biological triplicates per each group (wt, non-diabetic pregnancy; wt, diabetic pregnancy; Hif1a+/-, non-diabetic pregnancy; Hif1a+/-, diabetic pregnancy). RNA profiles were generated by deep sequencing using Illumina NextSeq.

Publication Title

Adverse effects of Hif1a mutation and maternal diabetes on the offspring heart.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE37070
Microarray analysis of normal and abnormal chick myocardial development
  • organism-icon Gallus gallus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

The goal of this study was to determine developmental differences in gene expression between left and right ventricle, and to assess the differential effect of altered hemodynamic loading on left and right ventricle. Chick ventricles from different developmental stages were isolated for assessment of normal developmental profiles. Conotruncal banding or partial ligation of the left atrial appendage was performed in ovo at embryonic day 4 and ventricles were isolated at embryonic day 5 (banding) or 8 (ligation) for assessment of altered loading effects.

Publication Title

Microarray analysis of normal and abnormal chick ventricular myocardial development.

Sample Metadata Fields

Specimen part

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accession-icon GSE21863
Transcriptome of the Nxnl2-/- mouse retina
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A nxnl2 knockout mouse model was created and the transcriptome used to demonstrate that the retina is compromised by the absence of nxnl2.

Publication Title

Nxnl2 splicing results in dual functions in neuronal cell survival and maintenance of cell integrity.

Sample Metadata Fields

Specimen part

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accession-icon GSE25219
Spatio-temporal transcriptome of the human brain
  • organism-icon Homo sapiens
  • sample-icon 2667 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The development of the human brain is a complex and precisely regulated process that unfolds over a protracted period of time. Human-specific features of this process, especially the ways in which highly complex neural circuits of the cerebral cortex form, are likely to be important factors in the evolution of human specializations. However, in addition to giving us remarkable cognitive and motor abilities, the formation of intricate neural circuits may have also increased our susceptibility to psychiatric and neurodegenerative disorders. Furthermore, substantial evidence suggests that the symptoms and progression of many brain disorders are dramatically influenced by genetic and developmental processes that define regional cell phenotypes and connectivity. Sex differences also play an important role in brain development and function and are a risk factor for several brain disorders, such as autism spectrum disorders (ASD) and depression. Thus understanding the spatiotemporal dynamics and functional organization of the brain transcriptome is essential to teasing out the keys to human neurodevelopment, sexual dimorphism, and evolution as well as our increased susceptibility to certain brain disorders. Most transcriptome studies of the developing brain have been restricted to rodents, and those performed in humans and nonhuman primates have included relatively small sample sizes and predominantly focused on few regions or developmental time points. Because many prominent features of human brain development significantly diverge from those of well-characterized model organisms, the translation of knowledge across species is difficult, and it is likely that many underlying genetic processes have gone undetected. In this study, we have taken a genome-wide approach to analyze the human transcriptome at single-exon resolution with ~1.4 million exon-level probe sets in 16 brain regions from donors representing both sexes and multiple ethnicities, across pre and postnatal development, including adolescence, and adulthood. We also generated genome-wide genotype data for 2.5 million single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) for each specimen. Our analyses of the data revealed several features of the human brain transcriptome: spatiotemporal expression dynamics of individual and functionally related groups of genes, differential exon usage, sex-specific expression patterns and exon usage, and organization of the transcriptome into functional modules. We also profiled developmental trajectories of genes important for neurobiological themes and genes associated with ASD and schizophrenia. Finally, we present associations between specific SNPs and gene expression levels in different brain regions across development. The dataset presented here provides research opportunities and a wealth of information not previously available to the scientific community.

Publication Title

Spatio-temporal transcriptome of the human brain.

Sample Metadata Fields

Sex, Age

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accession-icon SRP069880
Posttranscriptional control of the neutrophil transcriptome by tristetraprolin promotes neutrophil apoptosis and compromises host antimicrobial defense
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Posttranscriptional regulation of mRNA levels in neutrophils and its consequences for immune responses are unexplored. By employing profiling of the neutrophil transcriptome we show that the mRNA-destabilizing protein tristetraprolin (TTP) limits the expression of hundreds of genes, including genes negatively regulating apoptosis. Elicited TTP-deficient neutrophils exhibited reduced apoptosis and were increased in numbers. The anti-apoptotic protein Mcl-1 was elevated in TTP-deficient neutrophils and Mcl1 mRNA was bound and destabilized by TTP. Ablation of TTP in macrophages and neutrophils resulted in an improved defense and survival of mice during invasive infection with Streptococcus pyogenes. Mice lacking myeloid TTP prevented dissemination of bacteria and efficiently blunted systemic disease by massive but controlled neutrophil deployment. These data identify posttranscriptional control by TTP to restrict neutrophils and antimicrobial defense. Overall design: WT and TTPKO peritoneal neutrophils stimulated with LPS for 4 h. Each condition analyzed in three replicates

Publication Title

The RNA-binding protein tristetraprolin schedules apoptosis of pathogen-engaged neutrophils during bacterial infection.

Sample Metadata Fields

Subject

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accession-icon SRP070703
Pervasive TTP binding but selective target mRNA destabilization in the macrophage transcriptome [RNA-Seq_2]
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Precise control of mRNA decay is fundamental for robust yet not exaggerated inflammatory responses to pathogens. Parameters determining the specificity and extent of mRNA degradation within the entire inflammation-associated transcriptome remain incompletely understood. Using transcriptome-wide high resolution occupancy assessment of the mRNA-destabilizing protein TTP, a major inflammation-limiting factor, we qualitatively and quantitatively characterize TTP binding positions and functionally relate them to TTP-dependent mRNA decay in immunostimulated macrophages. We identify pervasive TTP binding with incompletely penetrant linkage to mRNA destabilization. A necessary but not sufficient feature of TTP-mediated mRNA destabilization is binding to 3’ untranslated regions (UTRs). Mapping of binding positions of the mRNA-stabilizing protein HuR in activated macrophages revealed that TTP and HuR binding sites in 3’ UTRs occur mostly in different transcripts implicating only a limited co-regulation of inflammatory mRNAs by these proteins. Remarkably, we identify robust and widespread TTP binding to introns of stable transcripts. Nuclear TTP is associated with spliced-out introns and maintained in the nucleus throughout the inflammatory response. Our study establishes a functional annotation of binding positions dictating TTP-dependent mRNA decay in immunostimulated macrophages. The findings allow navigating the transcriptome-wide landscape of RNA elements controlling inflammation. Overall design: Experiment comparing RNA decay rates in WT and TTP-/- macrophages at LPS 3 h and 6 h. Transcription was blocked with actinomycin D for 0, 45 or 90 min. Decay rates was calculated using linear model.

Publication Title

Tristetraprolin binding site atlas in the macrophage transcriptome reveals a switch for inflammation resolution.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon SRP050048
Pervasive TTP binding but selective target mRNA destabilization in the macrophage transcriptome [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Precise control of mRNA decay is fundamental for robust yet not exaggerated inflammatory responses to pathogens. Parameters determining the specificity and extent of mRNA degradation within the entire inflammation-associated transcriptome remain incompletely understood. Using transcriptome-wide high resolution occupancy assessment of the mRNA-destabilizing protein TTP, a major inflammation-limiting factor, we qualitatively and quantitatively characterize TTP binding positions and functionally relate them to TTP-dependent mRNA decay in immunostimulated macrophages. We identify pervasive TTP binding with incompletely penetrant linkage to mRNA destabilization. A necessary but not sufficient feature of TTP-mediated mRNA destabilization is binding to 3’ untranslated regions (UTRs). Mapping of binding positions of the mRNA-stabilizing protein HuR in activated macrophages revealed that TTP and HuR binding sites in 3’ UTRs occur mostly in different transcripts implicating only a limited co-regulation of inflammatory mRNAs by these proteins. Remarkably, we identify robust and widespread TTP binding to introns of stable transcripts. Nuclear TTP is associated with spliced-out introns and maintained in the nucleus throughout the inflammatory response. Our study establishes a functional annotation of binding positions dictating TTP-dependent mRNA decay in immunostimulated macrophages. The findings allow navigating the transcriptome-wide landscape of RNA elements controlling inflammation. Overall design: RNA-Seq of RNA isolated from murine bone marrow derived macrophages (WT or TTP-deficient) stimulated for 6 h with LPS

Publication Title

Tristetraprolin binding site atlas in the macrophage transcriptome reveals a switch for inflammation resolution.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28880
TTP-dependent mRNA decay in LPS-stimulated macrophages
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Controlled decay of cytokine and chemokine mRNAs restrains the time and amplitude of inflammatory responses. Tristetraprolin (TTP) binds to AU-rich elements in 3 untranslated regions of mRNA and targets the bound mRNA for degradation. We have addressed here the function of TTP in balancing the macrophage activation state by a comprehensive analysis of TTP-dependent mRNA decay in LPS-stimulated macrophages from WT and TTP-deficient mice.

Publication Title

Tristetraprolin-driven regulatory circuit controls quality and timing of mRNA decay in inflammation.

Sample Metadata Fields

Specimen part

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accession-icon GSE113624
Gene expression profiles of tumor-induced pTregs and anergic tumor-specific CD4+ T cells
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Up to now the role of tumor-specific pTregs and anergic cells during tumor development is not fully understood. Here we used a genetically-induced tumor expressing a MHC-II restricted DBY model antigen to characterize the tumor-induced pTregs and anergic cells that arise early during tumor development.

Publication Title

Induction of anergic or regulatory tumor-specific CD4<sup>+</sup> T cells in the tumor-draining lymph node.

Sample Metadata Fields

Time

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accession-icon GSE113623
Gene expression profile of tumor antigen-specific CD4 T cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Up to know CD4 T cell antitumor responses have been mostly studied in transplanted tumor models. However, although they are valuable tools, they are not suitable to study the long term interactions between tumors and the immune system

Publication Title

Induction of anergic or regulatory tumor-specific CD4<sup>+</sup> T cells in the tumor-draining lymph node.

Sample Metadata Fields

Time

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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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