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accession-icon SRP063659
Accelerated cartilage differentiation distinguishes the lower from the upper vertebrate face
  • organism-icon Danio rerio
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconNextSeq500, IlluminaHiSeq2000

Description

Distinct shaping of the upper versus lower facial skeleton is essential for function of the vertebrate jaw and middle ear, yet the cellular mechanisms by which this occurs have remained unclear. Here, we show that Endothelin1 (Edn1) signaling accelerates mesenchymal condensation and subsequent cartilage formation in the lower face through antagonism of Jagged-Notch signaling and Prrx1 transcription factors. A genomic analysis of facial skeletal precursors in mutants and overexpression embryos reveals that Jagged-Notch signaling represses genes that are strongly induced as pharyngeal arch neural crest-derived cells begin skeletal differentiation. In wild types, initial Jagged-Notch repression dorsally ensures that barx1+ condensations and cartilage differentiation occur first in ventral-intermediate zones of the pharyngeal arches. Reduced Jagged-Notch signaling results in an expansion of pre-cartilage condensations in the upper face, with loss of barx1 partially restoring dorsal cartilage shapes in jag1b mutants. Further, by studying new mutants for zebrafish prrx1a and prrx1b, we find that Prrx1 genes function in parallel to Jagged-Notch signaling to restrict the formation of dorsal barx1+ pre-cartilage condensations. Consistently, combined losses of jag1b and prrx1a/b robustly rescue ventral barx1+ condensations and lower facial cartilage development in edn1 mutants. Together, our work suggests that Edn1 works through parallel inhibition of Jagged-Notch and Prrx1 pathways to promote an earlier and more extensive establishment of cartilage condensations in the lower face. Overall design: We performed RNAseq on FACS-sorted neural crest-derived pharyngeal arch cells (fli1a:GFP; sox10:DsRed double positive) from wild-type embryos at 3 different stages (20, 28, and 36 hours post fertilization) and embryos with altered levels of Edn1 and Notch signaling (edn1 mutants and hsp70I:Gal4; UAS:Edn1 transgenics; jag1b mutants, dibenzazepine-treated embryos, and hsp70I:Gal4; UAS:NICD transgenics. We also sequenced RNA from heat-shocked UAS:Edn1+ and hsp70I:Gal4+ transgenics and jag1b+/+ controls.

Publication Title

Competition between Jagged-Notch and Endothelin1 Signaling Selectively Restricts Cartilage Formation in the Zebrafish Upper Face.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP051737
Functional characterization of human T cell hyporesponsiveness induced by CTLA4-Ig
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

During activation, T cells integrate multiple signals from APCs and cytokine milieu. The blockade of these signals can have clinical benefits as exemplified by CTLA4-Ig, which blocks interaction of B7 co-stimulatory molecules on APCs with CD28 on T cells. Variants of CTLA4-Ig, abatacept and belatacept are FDA approved as immunosuppressive agents in arthritis and transplantation whereas murine studies suggested that CTLA4-Ig can be beneficial in a number of other diseases. However, detailed analysis of human CD4 cell hyporesponsivness induced by CTLA4-Ig has not been performed. Herein, we established a model to study effect of CTLA4-Ig on the activation of human naïve T cells in a human mixed lymphocytes system. Comparison of human CD4 cells activated in the presence or absence of CTLA4-Ig, showed that co-stimulation blockade during TCR activation does not affect NFAT signaling but results in decreased activation of NF-kB and AP-1 transcription factors followed by profound decrease in proliferation and cytokine production. The resulting T cells become hyporesponsive to secondary activation and, although capable of receiving TCR signals, fail to proliferate or produce cytokines, demonstrating properties of anergic cells. However, unlike some models of T cell anergy, these cells did not possess increased levels of TCR signaling inhibitor CBLB. Rather, the CTLA4-Ig induced hyporesponsiveness was associated with an elevated level of p27kip1 cyclin-dependent kinase inhibitor. Overall design: Time series. Human resting and activated T cell dUTP mRNA-Seq profiles were generated on Illumina HiSeq2500

Publication Title

Functional characterization of human T cell hyporesponsiveness induced by CTLA4-Ig.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP037992
SCML2 Establishes the Male Germline Epigenome
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

Gametogenesis is dependent on the expression of germline-specific genes. However, it remains unknown how the germline epigenome is distinctly established from that of somatic lineages. Here we show that genes commonly expressed in somatic lineages and spermatogenesis-progenitor cells undergo repression in a genome-wide manner in late stages of the male germline and identify underlying mechanisms. SCML2, a germline-specific subunit of a Polycomb repressive complex 1 (PRC1), establishes the unique epigenome of the male germline through two distinct antithetical mechanisms. SCML2 works with PRC1 and promotes RNF2-dependent ubiquitination of H2A, thereby marking somatic/progenitor genes on autosomes for repression. Paradoxically, SCML2 also prevents RNF2-dependent ubiquitination of H2A on sex chromosomes during meiosis, thereby enabling unique epigenetic programming of sex chromosomes for male reproduction. Our results reveal divergent mechanisms involving a shared regulator by which the male germline epigenome is distinguished from that of the soma and progenitor cells. Overall design: RNA-seq and ChIP-seq analyses using wild-type and Scml2-KO spermatogenic cells

Publication Title

Poised chromatin and bivalent domains facilitate the mitosis-to-meiosis transition in the male germline.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP122893
Gene expression analyses of GI eosinophils under homeostatic conditions
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq was performed on eosinophils isolated from colons of naive C57/BL6 mice. Overall design: 2 samples of naive colonic eosinophils

Publication Title

Reuse of public, genome-wide, murine eosinophil expression data for hypotheses development.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP073797
Polycomb repressive complex 1 (PRC1) mediated regualtion of uterine stromal cells decidualization.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We extract RNA from mouse implantation sites (IS) on D8 of pregnancy. Mice were treated with or without PRT4165, an inhibitior of PRC1. Total RNAs were analyzed by RNA sequncing. Overall design: There are four samples to be analyzed:Control group 1) "D8ISCOT-1" and 2) "D8ISCOT-2” ; PRT4165 treated groups 3) "D8ISPRT4165-1", 4)”D8ISPRT4165-2”

Publication Title

Polycomb repressive complex 1 controls uterine decidualization.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE15735
Genome-wide mapping of HATs and HDACs in human CD4+ T cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Histone acetyltransferases (HATs) and deacetylases (HDACs) function antagonistically to control histone acetylation. As acetylation is a histone mark for active transcription, HATs have been associated with active and HDACs with inactive genes. We describe here genome-wide mapping of HATs and HDACs binding on chromatin and nd that both are found at active genes with acetylated histones. Our data provide evidence that HATs and HDACs are both targeted to transcribed regions of active genes by phosphorylated RNA Pol II. Furthermore, the majority of HDACs in the human genome function to reset chromatin by removing acetylation at active genes. Inactive genes that are primed by MLL-mediated histone H3K4 methylation are subject to a dynamic cycle of acetylation and deacetylation by transient HAT/HDAC binding, preventing Pol II from binding to these genes but poising them for future activation. Silent genes without any H3K4 methylation signal show no evidence of being bound by HDACs.

Publication Title

Genome-wide mapping of HATs and HDACs reveals distinct functions in active and inactive genes.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE39302
Microarray analysis of purified germ cells in mouse
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Microarray analysis of purified pachytene spermatocytes and round spermatids. Each stage was examined in wild type and RNF8 knockout mice in two biological replicates.

Publication Title

RNF8 regulates active epigenetic modifications and escape gene activation from inactive sex chromosomes in post-meiotic spermatids.

Sample Metadata Fields

Specimen part

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accession-icon SRP059296
Gene expression analyses and distribution of H3K4me3 modification during eosinophil development (GMP to EoP to Eosinophil)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

To identify regulators of homeostatic eosinophilopoiesis in mice, we took a global approach to identify genome-wide transcriptome and epigenome changes that occur during homeostasis at critical developmental stages, including eosinophil-lineage commitment (eosinophil progenitor [EoP] compared to granulocyte-monocyte progenitor [GMP]) and lineage maturation (eosinophil compared to EoP). Our analyses revealed markedly greater transcriptome alterations associated with eosinophil maturation (1199 genes) compared to eosinophil-lineage commitment (490 genes), highlighting the greater transcriptional investment necessary for differentiation. Our analyses also delineated a 976 gene eosinophil-lineage transcriptome that included a repertoire of 56 transcription factors, many of which have never previously been associated with eosinophils. Epigenomic studies revealed that genes that were specifically induced with eosinophil-lineage commitment in EoPs were “poised” with active chromatin marks in GMPs, despite not being expressed in GMPs. In contrast, a majority of the genes that were highly and specifically induced with maturation in eosinophils was not associated with poised chromatin, suggesting distinct epigenetic regulation between genes induced with lineage commitment compared to genes induced with cell maturation during eosinophil development. Overall design: RNA Seq and H3K4me3 distribution of GMPs, EoPs and eosinophils sorted from Balb/c bone marrow. RNA Seq libraries were prepared from 2 independent sorts of each cell type (GMP, EoPs, Eosinophils [Eos]). ChIP Seq was performed with chromatin from one sort of each cell type.

Publication Title

Transcription Factor Repertoire of Homeostatic Eosinophilopoiesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP018093
IL-33 markedly induces murine eosinophil gene transcription via autocrine IL-4-dependent and -independent mechanisms
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Eosinophils are major effector cells in type 2 inflammatory responses and become activated in response to IL-4 and IL-33, yet the molecular mechanism remains unclear. We examined the direct effect of these cytokines on eosinophils and demonstrated that murine eosinophils respond to IL-4 and IL-33 by phosphorylation of STAT-6 and NFkB, respectively. RNA sequencing analysis of murine eosinophils indicated that IL-33 regulates 519 genes, whereas IL-4 regulates only 28 genes, including 19 IL-33-regulated genes. Interestingly, IL-33 induced eosinophil activation via two distinct mechanisms, IL-4 independent and IL-4 secretion/auto-stimulation dependent. Anti-IL-4 or anti-IL-4Ra antibody-treated eosinophils, as well as Il4- or Stat6-deficient eosinophils, had attenuated protein secretion of a subset of IL-33-induced genes, including Retnla and Ccl17. However, the induction of most IL-33-regulated transcripts (e.g. Il6 and Il13) was IL-4 independent and blocked by NFkB inhibition. Indeed, IL-33 induced the rapid release of pre-formed IL-4 protein from eosinophils by an NFkB-dependent mechanism. Thus, we have identified a novel activation pathway in murine eosinophils that is induced by IL-33 and differentially dependent upon IL-4. These data suggest that IL-4 plays a critical role in auto-amplification of IL-33-induced eosinophil activation and could be a potential target for therapeutic approaches in IL-33-related eosinophil-associated diseases. Overall design: Low density bone marrow derived murine eosinophils were generated in culture over the period of 14 days. Eosinophils were activated by either IL-33 or IL-4 at 10 ng/ml for 1hr and 4hr. RNA was collected and subjected to next generation sequencing.

Publication Title

IL-33 markedly activates murine eosinophils by an NF-κB-dependent mechanism differentially dependent upon an IL-4-driven autoinflammatory loop.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE10437
Dynamic regulation of nucleosome positioning in the human genome
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The positioning of nucleosomes with respect to DNA plays an important role in regulating transcription. However, nucleosome mapping has been performed for only limited genomic regions in humans. We have generated genome-wide maps of nucleosome positions in both resting and activated human CD4+ T cells by direct sequencing of nucleosome ends using the Solexa high-throughput sequencing technique.

Publication Title

Dynamic regulation of nucleosome positioning in the human genome.

Sample Metadata Fields

No sample metadata fields

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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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