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accession-icon SRP039970
Translational profiling of hypothalamic and midbrain neurons that project to the nucleus accumbens.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Neuroanatomical methods enable high-resolution mapping of neural circuitry, but do not allow systematic molecular profiling of neurons based on their connectivity. Here, we report the development of a novel approach for molecularly profiling projective neurons. We show that ribosomes can be labeled with a camelid nanobody raised against GFP and that this system can be engineered to selectively capture translating mRNAs from cells expressing GFP. We generated a transgenic mouse encoding a nanobody-ribosomal protein fusion (Syn-NBL10) and used a retrograde virus (CAV) encoding GFP to immunoprecipitate ribosomes from projection neurons. This enabled us to profile neurons projecting to the nucleus accumbens. The current method provides a new means for profiling neurons based on their projections. Overall design: Translating mRNAs immunoprecipitated from neurons projecting to the nucleus accumbens. Each Input and IP sample corrspond to a pooled group of 6 mice.

Publication Title

Molecular profiling of neurons based on connectivity.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP091455
Molecular profiling of dorsal raphe nucleus Vgat and VGLUT3-expressing neurons
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Hunger, driven by negative energy balance, elicits the search for and consumption of food. In mammals, this is orchestrated principally through the activity of neurons in the hypothalamus, direct manipulation of which can potently drive food intake. However, the neural circuits outside of the hypothalamus that control feeding are poorly understood. Here, we identify two functionally opponent cell types within the dorsal raphe nucleus (DRN), marked by the vesicular transporters for GABA (Vgat) or glutamate (VGLUT3), that project to many known feeding centers and rapidly control feeding. We find that DRNVgat neurons drive, while DRNVGLUT3 neurons suppress, food intake. Furthermore, through the development and application of cell type-specific molecular profiling technologies, we identify many differentially expressed transmembrane receptors, which may represent unique druggable targets. Local application of agonists for these receptors potently modulates feeding, recapitulating the effects of cell-specific manipulations. Together, these data establish a key role for the DRN in controlling food intake and add an important anatomic site that controls energy balance. Overall design: Paired - Inputs and IPs; Unpaired for Vgat/VGLUT3 comparison

Publication Title

Identification of a Brainstem Circuit Controlling Feeding.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP093264
Rapid molecular profiling of defined cell types using viral TRAP
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Translational profiling methodologies enable the systematic characterization of cell types in complex tissues such as the mammalian brain, where neuronal isolation is exceptionally difficult. Here, we report a versatile strategy to profile CNS cell types in a spatiotemporally-restricted fashion by engineering a Cre-dependent adeno-associated virus expressing an EGFP-tagged ribosomal protein (AAV-FLEX-EGFPL10a) to access translating mRNAs by TRAP. We demonstrate the utility of this AAV to target a variety of genetically and anatomically defined neural populations expressing Cre recombinase and illustrate the ability of this viral TRAP (vTRAP) approach to recapitulate the molecular profiles obtained by bacTRAP in corticothalamic neurons across multiple serotypes. Furthermore, spatially restricting AAV injections enabled the elucidation of regional differences in gene expression within this cell type. Taken together, these results establish the broad applicability of the vTRAP strategy for the molecular dissection of any CNS or peripheral cell type that can be engineered to express Cre. Overall design: Polysome-bound mRNAs from TRAP IPs were compared to whole tissue mRNAs. Data was collected from MCH neurons in hypothalamus using vTRAP, cortical layer 6 Ntsr1 neurons using vTRAP, and cortical layer 6 Ntsr1 neurons using bacTRAP. We include vTRAP data from three AAV serotypes for the cortical Ntsr1 cells. We collected three replicates for IP and inputs for vTRAP experiments, while bacTRAP data was collected in duplicate.

Publication Title

Rapid Molecular Profiling of Defined Cell Types Using Viral TRAP.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP078450
Transcriptional response to hepatitis C virus infection and interferon alpha treatment in the human liver
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Hepatitis C virus (HCV) is widely used to investigate host-virus interactions and cellular responses to infection have been extensively studied in vitro. In human liver, interferon (IFN) stimulated gene expression can mask direct transcriptional responses to virus infection. To better characterize the direct effects of HCV infection in vivo, we analyze the transcriptomes of HCV-infected patients lacking an activated endogenous IFN system. We show that the expression changes observed in these patients predominantly reflect immune cell infiltrates rather than changes in cell-intrinsic metabolic pathways. We also investigate the transcriptomes of patients with endogenous IFN activation, which paradoxically cannot eradicate viral infection. We find that most IFN-stimulated genes (ISGs) are induced by both the endogenous IFN system and by recombinant IFN therapy, but with significantly higher induction levels in the latter. We conclude that the innate host immune response in chronic hepatitis C is too weak to clear the virus. Overall design: In this study, we aimed to disentangle the direct and indirect effects of HCV infection on cellular transcriptional profiles, by performing a detailed characterization of the gene expression changes associated with HCV infection, endogenous IFN system activation and pegIFNa treatment in the human liver. With this objective, we generated and analyzed high-throughput transcriptome sequencing profiles from liver biopsies derived from different categories of HCV-infected and non-infected patients, prior to and during treatment. First, to unveil HCV-induced cell-autonomous effects and to separate them from IFN-induced changes in the transcriptome, we selected liver biopsies from patients with chronic hepatitis C (CHC) without hepatic ISG induction, and compared them with un-infected control biopsies. Second, we examined the transcriptomic changes associated with the endogenous activation of the IFN system. Finally, we analyzed the gene expression changes resulting from pegIFNa/ribavirin treatment, by comparing transcriptome data from liver biopsies obtained before treatment and at different time points during the first week of therapy.

Publication Title

Transcriptional response to hepatitis C virus infection and interferon-alpha treatment in the human liver.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP071333
Transcriptomic analysis of wild type and Del(Hotair)-/- mouse tissues
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Despite decades of interest, the mechanisms that control Hox gene expression are not yet fully understood. It was recently proposed that Hotair, a lncRNA transcribed from the HoxC cluster, regulates HoxD gene expression via Polycomb targeting and thus is important for correct skeletal development. However, genetic manipulations of the locus led to conflicting results regarding the roles of Hotair. Here, we analyze the molecular and phenotypic consequences of deleting the Hotair locus in vivo. In contradiction with previous findings, we show that deleting Hotair has no detectable effect on HoxD gene expression in vivo. We could not observe any morphological alteration in mice lacking the Hotair locus. However, we find a significant impact of deleting Hotair on the expression of neighboring genes Hoxc11 and Hoxc12. Our results do not support an RNA-dependent role for Hotair in vivo, but argue in favor of a DNA-dependent effect of Hotair deletion on the transcriptional landscape in cis. Overall design: We micro-dissected wild type and Del(Hotair)-/- E12.5 embryos into 6 segments: forelimbs (FL), hindlimbs (HL), genital tubercle (GT), trunk section corresponding to the lumbar/sacral region (T1); trunk section corresponding to the sacral/caudal region (T2) and trunk section corresponding to the caudal region (T3). We generated strand-specific RNA-seq data for each segment, in two biological replicates and we performed differential expression analyses for each tissue. Furthermore, we analyzed the impact of deleting the Hotair locus on the local transcriptional landscape, in the HoxC cluster.

Publication Title

Hotair Is Dispensible for Mouse Development.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP116254
CONTROL OF GROWTH AND GUT MATURATION BY HoxD GENES AND THE ASSOCIATED LncRNA Haglr
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In this work we have analyzed the transcriptomic profiles of E9 mouse embryos. We show that Hoxd1 and Haglr transcripts are absent after targeted deletion of the CpG: 114 island. Overall design: RNA-seq analysis of trunk from the anterior limit of the forelimb bud to the tailbud, aiming to exclude all extra-embryonic, head, cervical and heart tissues. Individuals 443 (wt) and 445 (Del(CpG114) homozygous), were siblings from the same dam, while biological replicates 456 (wt) and 455 (Del(CpG114) homozygous) were siblings from another dam.

Publication Title

Control of growth and gut maturation by <i>HoxD</i> genes and the associated lncRNA <i>Haglr</i>.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP071813
A role for HOX13 proteins in the regulatory switch between TADs at the HoxD locus
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

During vertebrate limb development, Hoxd genes are regulated following a bimodal strategy involving two topologically associating domains (TADs) located on either side of the gene cluster. These regulatory landscapes alternatively control different subsets of Hoxd targets, first into the arm and, subsequently, into the digits. We studied the transition between these two global regulations, a switch that correlates with the positioning of the wrist, which articulates these two main limb segments. We show that the HOX13 proteins themselves help switch off the telomeric TAD, likely through a global repressive mechanism. At the same time, they directly interact with distal enhancers to sustain the activity of the centromeric TAD, thus explaining both the sequential and exclusive operating processes of these two regulatory domains. We propose a model whereby the activation of Hox13 gene expression in distal limb cells both interrupts the proximal Hox gene regulation and re-enforces the distal regulation. In the absence of HOX13 proteins, a proximal limb structure grows without any sign of wrist articulation, likely related to an ancestral fish-like condition. Overall design: RNA-seq analysis of proximal and distal forelimbs from E12.5 wt or Hoxa13-/-;Hoxd13-/- mutant embryos

Publication Title

A role for HOX13 proteins in the regulatory switch between TADs at the HoxD locus.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP080112
Control of Hoxd gene transcription in the mammary bud by hijacking a pre-existing regulatory landscape
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In this work we have analyzed the transcriptomic profiles of E13.5 mouse embryonic mammary buds. We show that Hoxd8 and Hoxd9, two gene members of the HoxD cluster, are transcribed during mammary bud development. Yet, unlike in other developmental contexts, their co-expression does not rely upon the same regulatory mechanism. Hoxd8 is regulated by the combined activity of closely located sequences and the most distant telomeric gene desert. On the other hand, Hoxd9 is controlled by an enhancer sequence also located within the telomeric gene desert, but which has no impact on Hoxd8 transcription, thus constituting an exception to the global regulations systematically observed at this locus. The latter DNA region is also involved in Hoxd gene regulation in other contexts and strongly interacts with Hoxd9 in all tissues analyzed so far as well as in other vertebrate species, indicating that its regulatory activity was already operational before the appearance of mammary glands. Within this DNA region and neighboring the CS39 limb enhancer, we further identified a short sequence conserved in therian mammals and capable of enhancer activity in the mammary buds. We propose that Hoxd gene regulation in embryonic mammary buds evolved by hijacking a preexisting regulatory landscape, which was already at work before the emergence of mammals in structures such like the limbs or the intestinal tract. Overall design: RNA-seq analysis of e13.5 mammary buds and adjacent embryonic skin

Publication Title

Control of Hoxd gene transcription in the mammary bud by hijacking a preexisting regulatory landscape.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE68797
Expression data of proliferating and differentiating ENS progenitor cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Postnatal neural progenitors of the enteric nervous system are a potential source for future cell replacement therapies of developmental dysplasia like Hirschsprung's disease. However, little is known about the molecular mechanisms driving the homeostasis and differentiation of this cell pool. In this work, we conducted Affymetrix gene chip experiments to identify differences in gene regulation between proliferation and early differentiation of enteric neural progenitors. We detected a total of 1333 regulated genes that were linked to different groups of cellular mechanisms involved in cell cycle, apoptosis, neural proliferation, and differentiation. As expected, we found a strong inhibition of cell cycle progression as well as an enhanced expression of neuronal and glial markers. We further found a marked inactivation of the canonical Wnt pathway during the beginning of cellular differentiation. Taken together, this data illustrated the various mechanisms taking place during the proliferation and early differentiation of enteric neural progenitor cells.

Publication Title

Comparative Microarray Analysis of Proliferating and Differentiating Murine ENS Progenitor Cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE6141
Global Analysis of the Drosophila NELF complex
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

To determine the physiological targets of the NELF complex, and provide insight into the mechanism of NELF activity in vivo.

Publication Title

NELF-mediated stalling of Pol II can enhance gene expression by blocking promoter-proximal nucleosome assembly.

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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Developed by the Childhood Cancer Data Lab

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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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