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accession-icon SRP090472
Morphological and molecular characterization of human dermal lymphatic collectors
  • organism-icon Homo sapiens
  • sample-icon 122 Downloadable Samples
  • Technology Badge Icon

Description

Millions of patients suffer from lymphedema worldwide. Supporting the contractility of lymphatic collectors is an attractive target for pharmacological therapy of lymphedema. However, lymphatics have mostly been studied in animals, while the cellular and molecular characteristics of human lymphatic collectors are largely unknown. We studied epifascial lymphatic collectors of the thigh, which were isolated for autologous transplantations. Our immunohistological studies identify additional markers for LECs (vimentin, CCBE-1). We show and confirm differences between initial and collecting lymphatics concerning the markers ESAM1, D2-40 and LYVE-1. Our transmission electron microscopic studies reveal two types of smooth muscle cells (SMCs) in the media of the collectors with dark and light cytoplasm. We observed vasa vasorum in the media of the largest collectors, as well as interstitial Cajal-like cells, which are highly ramified cells with long processes, caveolae, and lacking a basal lamina. They are in close contact with SMCs, which possess multiple caveolae at the contact sites. Immunohistologically we identified such cells with antibodies against vimentin and PDGFRa, but not CD34 and cKIT. With Next Generation Sequencing we searched for highly expressed genes in the media of lymphatic collectors, and found therapeutic targets, suitable for acceleration of lymphatic contractility, such as neuropeptide Y receptors 1, and 5; tachykinin receptors 1, and 2; purinergic receptors P2RX1, and 6, P2RY12, 13, and 14; 5-hydroxytryptamine receptors HTR2B, and 3C; and adrenoceptors a2A,B,C. Our studies represent the first comprehensive characterization of human epifascial lymphatic collectors, as a prerequisite for diagnosis and therapy. Overall design: The transcriptome of 6 different normal human lymphatic collectors (Lyko1, Lyko 4-12, Lyko 5, Lyko12, Lyko13, Lyko26) from the dermis of the thigh of women between 44 and 61 years of age was compared to cultures of human dermal lymphatic endothelial cells (LEC1, LEC2, HD-LEC9A) and a mixture of 3 different human dermal blood endothelial cells (HD-BEC-CA) to identify potential drug targets in the media of the collectors.

Publication Title

Morphological and Molecular Characterization of Human Dermal Lymphatic Collectors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38964
Identification of eight candidate target genes of the prognsotic 3p loss in cervical cancer by integrative genomic profiling
  • organism-icon Homo sapiens
  • sample-icon 151 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

We performed integrative gene dosage and expression profiling to identify candidate target genes of the prognostic 3p loss in cervical cancer.

Publication Title

Identification of eight candidate target genes of the recurrent 3p12-p14 loss in cervical cancer by integrative genomic profiling.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE14587
Genes induced by VEGF on the chick CAM after 24h
  • organism-icon Gallus gallus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

We determined gene expression profiles which were induced in the chick chorio-allantoic membrane 24 h after application of recombinant human VEGF.

Publication Title

Impaired angiogenesis and tumor development by inhibition of the mitotic kinesin Eg5.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28644
Gene Expression Data Following Chronic Vehicle or Fluoxetine Treatment in Thirty Mouse Inbred Lines
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to understand how biochemical and genetic differences correlate with treatment response, we measured depressive-like behavior, gene expression and the levels of thirty-six neurobiochemical analytes across a panel of genetically-diverse mouse inbred lines after chronic treatment with vehicle or fluoxetine. Neurobiochemical markers were chosen based on their putative molecular function within pathways proposed to underlie depression, which include neuronal transmission, HPA-axis regulation, and neuroimmune processes. The goal of this study is to establish genetic and biochemical biomarkers that can predict treatment response and to propose a molecular pathway that is critical in mediating anti-depressant response.

Publication Title

Evaluating genetic markers and neurobiochemical analytes for fluoxetine response using a panel of mouse inbred strains.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE2031
Identification of genes and quantitative trait loci (QTL) that control hematopoietic stem cell functioning
  • organism-icon Mus musculus
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We have combined large-scale mRNA expression and gene mapping methods to identify genes and loci that control hematopoietic stem cell (HSC) functioning. mRNA expression levels were measured in purified HSC isolated from a panel of densely genotyped recombinant inbred mouse strains. Quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts were mapped. Comparison of the physical transcript position with the location of the controlling QTL identified polymorphic cis-acting stem cell genes. In addition, multiple trans-acting control loci were highlighted that modify expression of large numbers of genes. These groups of co-regulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of strong candidate genes involved with HSC turnover. We compared expression QTLs in HSC and brain from the same animals, and document both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of co-regulated transcripts.

Publication Title

Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics'.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10246
GNF Mouse GeneAtlas V3
  • organism-icon Mus musculus
  • sample-icon 181 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we profiled gene expression from a diverse array of normal tissues, organs, and cell lines in mice. Keywords: multiple tissues

Publication Title

Expression analysis of G Protein-Coupled Receptors in mouse macrophages.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP071332
Expression profiling of IL-13 stimulated PBMCs with and without an IL-13R antagonist
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

This experiment aims to identify the biological pathways and diseases associated with the cytokine Interleukin 13 (IL-13) using gene expression measured in peripheral blood mononuclear cells (PBMCs). Overall design: The experiment comprised of samples obtained from 3 healthy donors. The expression profiles of in vitro IL-13 stimulation were generated using RNA-seq technology for 3 PBMC samples at 24 hours. The transcriptional profiles of PBMCs without IL-13 stimulation were also generated to be used as controls. An IL-13R-alpha antagonist (Redpath et al. Biochemical Journal, 2013) was introduced into IL-13 stimulated PBMCs and the gene expression levels after 24h were profiled to examine the neutralization of IL-13 signaling by the antagonist.

Publication Title

Combining multiple tools outperforms individual methods in gene set enrichment analyses.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1133
tissue-specific pattern of mRNA expression
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The tissue-specific pattern of mRNA expression can indicate important clues about gene function. High-density oligonucleotide arrays offer the opportunity to examine patterns of gene expression on a genome scale. Toward this end, we have designed custom arrays that interrogate the expression of the vast majority of protein-encoding human and mouse genes and have used them to profile a panel of 79 human and 61 mouse tissues. The resulting data set provides the expression patterns for thousands of predicted genes, as well as known and poorly characterized genes, from mice and humans. We have explored this data set for global trends in gene expression, evaluated commonly used lines of evidence in gene prediction methodologies, and investigated patterns indicative of chromosomal organization of transcription. We describe hundreds of regions of correlated transcription and show that some are subject to both tissue and parental allele-specific expression, suggesting a link between spatial expression and imprinting.

Publication Title

A gene atlas of the mouse and human protein-encoding transcriptomes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE97
Large-scale analysis of the mouse transcriptome
  • organism-icon Mus musculus
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://biogps.gnf.org) that integrates data visualization and curation of current gene annotations.

Publication Title

Large-scale analysis of the human and mouse transcriptomes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE96
Large-scale analysis of the human transcriptome
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http://expression.gnf.org) that integrates data visualization and curation of current gene annotations.

Publication Title

Large-scale analysis of the human and mouse transcriptomes.

Sample Metadata Fields

No sample metadata fields

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)

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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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