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accession-icon SRP001363
Illumina sequencing of small RNAs from C. elegans embryos
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Caenorhabditis elegans is one of the most prominent model systems to study embryogenesis. However, it has been impractical to collect large amounts of precisely staged embryos. Thus, early C. elegans embryogenesis has not been amenable to most modern high-throughput genomics or biochemistry assays. To overcome this problem, we devised a method to collect large amounts of cleanly staged C. elegans embryos by Fluorescent Activated Cell Sorting (termed eFACS). eFACS can in principle be applied to all embryonic developmental stages up to hatching. As a proof of principle we show that a single eFACS run routinely yields tens of thousands of almost perfectly staged one-cell embryos. Since in animals the earliest embryonic events are driven by post-transcriptional regulation, we combined eFACS with next-generation sequencing technology to systematically profile the embryonic expression of small, non-coding RNAs. We discovered a wealth of complex and orchestrated changes in the expression between and within almost all classes of small RNAs, including miRNAs, during embryogenesis. Our data indicate that half of all known miRNAs are already expressed in the one-cell stage embryo and we also shed light on the expression and genomic organization of the previously under-appreciated 26G-RNAs. Together, our eFACS data suggest that the complexity of small RNA expression dynamics in animals is comparable to the expression dynamics of protein encoding genes. Overall design: Various C. elegans embryo samples were generated: mixed embryos by traditional bleaching (Brenner, 1974), early embryos by eFACS (Stoeckius et al., in press). RNA was extracted and length fractionated. Small RNA was subjected to a 5''-dependent ligation protocol to add sequencing adapters. The small RNA samples were sequenced using the Illumina GA I & II.

Publication Title

Large-scale sorting of C. elegans embryos reveals the dynamics of small RNA expression.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE75415
Gene exrpression profiling of childhood adrenocortical tumors
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Pediatric adrenocortical tumors (ACT) are rare and often fatal malignancies; little is known regarding their etiology and biology. To provide additional insight into the nature of ACT, we determined the gene expression profiles of 24 pediatric tumors (five adenomas, 18 carcinomas, and one undetermined) and seven normal adrenal glands. Distinct patterns of gene expression, validated by quantitative real-time PCR and Western blot analysis, were identified that distinguish normal adrenal cortex from tumor. Differences in gene expression were also identified between adrenocortical adenomas and carcinomas. In addition, pediatric adrenocortical carcinomas were found to share similar patterns of gene expression when compared with those published for adult ACT. This study represents the first microarray analysis of childhood ACT. Our findings lay the groundwork for establishing gene expression profiles that may aid in the diagnosis and prognosis of pediatric ACT, and in the identification of signaling pathways that contribute to this disease.

Publication Title

Gene expression profiling of childhood adrenocortical tumors.

Sample Metadata Fields

Sex

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accession-icon GSE32887
Molecular profiling and gene expression analysis in cutaneous sarcoidosis (CS)
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cutaneous sarcoidosis skin provides relatively non invasive access to granulomatous sarcoidosis tissue.

Publication Title

Molecular profiling and gene expression analysis in cutaneous sarcoidosis: the role of interleukin-12, interleukin-23, and the T-helper 17 pathway.

Sample Metadata Fields

Subject

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accession-icon GSE25633
Transcriptional profiling of C. elegans DAF-19 uncovers a ciliary base-associated protein and a CDK/CCRK/LF2p-related kinase required for intraflagellar transport.
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Cilia are ubiquitous cell surface projections that modulate various sensory- and motility based processes and are implicated in a growing number of multi-organ genetic disorders termed ciliopathies. As new components required for cilium biogenesis and function remain unidentified, we sought to further define and validate the transcriptional targets of the ciliogenic C. elegans RFX transcription factor DAF-19. To this end, transcriptional profiling of daf-19 mutants (which do not form cilia) and wild-type animals was performed using selectively staged embryos where ciliogenesis occurs in most ciliated sensory neurons

Publication Title

Transcriptional profiling of C. elegans DAF-19 uncovers a ciliary base-associated protein and a CDK/CCRK/LF2p-related kinase required for intraflagellar transport.

Sample Metadata Fields

Specimen part

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accession-icon GSE34949
Hedgehog and metabolism
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Deregulated accumulation of myofibroblasts (MF) is central to liver fibrosis pathogenesis, but the mechanisms controlling myofibroblast fate remain poorly understood. Here we investigated whether Hedgehog (Hh) signaling regulates MF fate by modulating MF metabolism.

Publication Title

Hedgehog controls hepatic stellate cell fate by regulating metabolism.

Sample Metadata Fields

Specimen part

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accession-icon GSE16209
Comparison of lens gene expression between the control and DicerCN mouse embryos at E13.5
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In order to investigate the mechanism for the progressive lens degeneration caused by targeted deletion of Dicer, we compared expression profiles of protein-coding genes in wild type and DicerCN lenses at E13.5, at a time before gross morphological changes had occurred. We identified distinct classes of differentially expressed genes in the conditional knockout lenses.

Publication Title

Targeted deletion of Dicer disrupts lens morphogenesis, corneal epithelium stratification, and whole eye development.

Sample Metadata Fields

Specimen part

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accession-icon GSE47801
Genome-wide gene expression analysis on tibialis anterior muscle from nebulin SH3 domain deleted (NebSH3) mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Genome-wide gene expression analysis on tibialis anterior muscle from 2-month-old nebulin SH3 domain deleted (NebSH3) mice compared to wildtype.

Publication Title

The nebulin SH3 domain is dispensable for normal skeletal muscle structure but is required for effective active load bearing in mouse.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE73071
Expression data from mice brain implanted GSC272 glioma stem cells or POSTN knockout
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Differential mRNA expression patterns were seen in GSC272-vector compared to GSC272-POSTN shRNA tumors.

Publication Title

Periostin (POSTN) Regulates Tumor Resistance to Antiangiogenic Therapy in Glioma Models.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP195418
Transcriptome Signature of Cellular Senescence
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000, Illumina HiSeq 2500

Description

Abstract: Cellular senescence, an integral component of aging and cancer, arises in response to diverse triggers, including telomere attrition, macromolecular damage, and signaling from activated oncogenes. At present, senescent cells are identified by the combined presence of multiple traits, such as senescence-associated protein expression and secretion, DNA damage, and ß-galactosidase activity; unfortunately, these traits are neither exclusively nor universally present in senescent cells. To identify robust shared markers of senescence, we have performed RNA-sequencing analysis across 8 diverse models of senescence triggered in human diploid fibroblasts (WI-38, IMR-90) and endothelial cells (HUVEC, HAEC) by replicative exhaustion, exposure to ionizing radiation or doxorubicin, and expression of the oncogene HRASG12V. The intersection of the altered transcriptomes revealed 47 RNAs consistently elevated and 26 RNAs consistently reduced across all senescence models, including many protein-coding mRNAs and some long noncoding RNAs. We propose that these shared transcriptome profiles will enable the identification of senescent cells in vivo, the investigation of their roles in aging and malignancy, and the development of strategies to target senescent cells therapeutically. Overall design: Transcriptomic analysis of various cell line models of senescence and their respective controls

Publication Title

Transcriptome signature of cellular senescence.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE45161
Expression data from in vivo experiment comparing untreated controls with animals treated with bevacizumab (Avastin)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Bevacizumab induces glioblastoma resistance in two in vivo xenograft models. Two cell lines were developed with acquired resistance to bevacizumab. Gene expression difference were analyzed between treated and untreated tumors.

Publication Title

Acquired resistance to anti-VEGF therapy in glioblastoma is associated with a mesenchymal transition.

Sample Metadata Fields

Specimen part, Treatment

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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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