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accession-icon GSE113945
Human ZNF341 deficiency underlies a recessive form of hyper IgE syndrome by disrupting STAT3 transcription-dependent STAT3 activity
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Heterozygosity for human STAT3 dominant-negative (DN) mutations underlies an autosomal dominant form of hyper-IgE syndrome (HIES). We describe patients with an autosomal recessive form of HIES due to loss-of-function mutations of a previously uncharacterized gene, ZNF341. ZNF341 is a transcription factor that resides in the nucleus, where it binds a specific DNA motif present in various genes, including, most notably the STAT3 promoter. The patients cells have low basal levels of STAT3 mRNA and protein. The auto-induction of STAT3 production, activation, and function by STAT3-activating cytokines is particularly strongly impaired. Like patients with STAT3 DN mutations, ZNF341-deficient patients lack Th17 cells, have an excess of Th2 cells, and low memory B cells, due to the tight dependence of STAT3 activity on ZNF341 in lymphocytes. Their milder extra-hematopoietic manifestations and stronger inflammatory responses reflect the lower ZNF341-dependence of STAT3 activity in other cell types. Human ZNF341 is essential for the STAT3 transcription-dependent auto-induction and sustained activity of STAT3.

Publication Title

A recessive form of hyper-IgE syndrome by disruption of ZNF341-dependent STAT3 transcription and activity.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE62834
Expression data from E15.5 mouse embryos
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The pancreatic beta cells are the only cells that can produce insulin in response to prevailing glycemia. The development of beta cells was found to be depending on the activity of a complex genetic network. Overexpression of transcriptional factor MafK in beta cells have resulted in impairment of thier functions and suppressed insulin secretion and increased the severity of beta cell loss resulting in an overt diabetes.

Publication Title

β-Cell-Specific Mafk Overexpression Impairs Pancreatic Endocrine Cell Development.

Sample Metadata Fields

Specimen part

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accession-icon SRP062278
Human macrophage-Leishmania infectome
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

The goal of this study is to simultaneously interrogate host and parasite gene expression programs in human macrophages infected with the intracellular parasites from the genus Leishmania. We conducted high-resolution sequencing of the transcriptomes of human macrophages infected with Leishmania spp. using an RNA-seq approach. An array of computational tools was applied to map reads to the Leishmania and human genomes and reconstruct full-length transcripts. mRNA abundance was determined for Leishmania and human genes at various time points post-infection, enabling us to identify co-expression patterns that correlate with the biology of the parasite and to obtain a preliminary analysis of the dynamic nature of parasite and host cell gene expression programs in the context of infection. This study provides a solid framework for future functional and genomic studies of leishmaniasis as well as intracellular pathogenesis in general.

Publication Title

Dual Transcriptome Profiling of Leishmania-Infected Human Macrophages Reveals Distinct Reprogramming Signatures.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18162
Effects of moderate ethanol consumption during pregnancy on placental gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

We conducted a preliminary investigation to determine whether ethanol-induced alterations in placental gene expression may have some utility as a diagnostic indicator of maternal drinking during pregnancy as well as a prognostic indicator of risk for adverse neurobehavioral outcomes in affected offspring.

Publication Title

Effects of moderate drinking during pregnancy on placental gene expression.

Sample Metadata Fields

Specimen part

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accession-icon SRP056315
Macrophages with immunoregulatory activity in the absence of STAT6 signaling
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Macrophages readily change their phenotype in response to exogenous stimuli. In this work, macrophages were stimulated under a variety of experimental conditions, and alterations in mRNA levels were analyzed. We identified three transcriptionally related populations of macrophages with immunoregulatory activity. They were generated by stimulating cells with TLR ligands, in the presence of three different “reprogramming” signals; high density immune complexes (IC), prostaglandin E2 (PGE2), or adenosine (Ado). All three of these cell populations produced higher levels of transcripts for IL-10, and growth and angiogenic factors. They also secreted reduced levels of inflammatory cytokines IL-1Beta, IL-6, and IL-12. All three macrophage phenotypes could partially rescue mice from lethal endotoxemia, and therefore we consider each to have immunoregulatory activity. This immunoregulatory activity occurred equally well in macrophages from stat6-deficient mice. The lack of STAT6 did not affect macrophages’ ability to reciprocally change cytokine production or to rescue mice from lethal endotoxemia. Furthermore, treatment of macrophages with IL-4 failed to induce similar phenotypic or transcriptional alterations. This work demonstrates that there are multiple ways to generate macrophages with immunoregulatory activity. These immunoregulatory macrophages are transcriptionally and functionally related, and quite distinct from macrophages treated with IL-4.

Publication Title

The generation of macrophages with anti-inflammatory activity in the absence of STAT6 signaling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29988
The role of HIF in FH-associated renal neoplasia
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Fumarate hydratase (FH) mutations predispose to renal cysts cancer. These cancers overexpress hypoxia-inducible factor-alpha (Hif-1a). We have generated a conditional Fh1 (mouse FH) knockout mice that develop renal cysts and overexpress Hif-1a. In order to identify the contribution of Hif-1a to cyst formation we have intercrossed our mice with conditional HIf-1a KO mice.

Publication Title

Renal cyst formation in Fh1-deficient mice is independent of the Hif/Phd pathway: roles for fumarate in KEAP1 succination and Nrf2 signaling.

Sample Metadata Fields

Age

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accession-icon SRP042027
Noninvasive in vivo monitoring of tissue-specific global gene expression in humans
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII, IlluminaHiSeq2000

Description

Circulating cell-free RNA in the blood provides a potential window into the health, phenotype, and developmental programs of a variety of human organs. We used high-throughput methods of RNA analysis such as microarrays and next-generation sequencing to characterize the global landscape of circulating RNA in human subjects. By focusing on tissue-specific genes, we were able to identify the relative contributions of these tissues to circulating RNA and monitor changes during tissue development and neurodegenerative disease states.

Publication Title

Noninvasive in vivo monitoring of tissue-specific global gene expression in humans.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE56899
Microarray Data of cell-free RNA across pregnancy time course
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Circulating cell-free RNA in the blood provides a potential window into the health, phenotype, and developmental programs of a variety of human organs. We employed high throughput methods of RNA analysis such as microarrays and next-generation sequencing to characterize the global landscape circulating RNA in a cohort of human subjects. By focusing on genes whose expression is highly specific to certain tissues, we were able to identify the relative contributions of these tissues to circulating RNA, and to monitor changes in tissue development and health.

Publication Title

Noninvasive in vivo monitoring of tissue-specific global gene expression in humans.

Sample Metadata Fields

Specimen part

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accession-icon GSE75007
Network analysis identifies proinflammatory plasma cell polarization for secretion of ISG15 in human autoimmunity
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Plasma cells (PCs) as effectors of humoral immunity produce immunoglobulins to match pathogenic insult. However, emerging data suggests more diverse roles for PCs as regulators of immune and inflammatory responses via secretion of factors other than immunoglobulins. The extent to which such responses are pre-programmed in B-lineage cells or can be induced in PCs by the microenvironment is unknown. Here we dissect the impact of IFNs on the regulatory networks of human plasma cells. We show that core PC programs are unaffected, while PCs respond to IFNs with distinctive transcriptional responses. The ISG15-system emerges as a major transcriptional output induced in a sustained fashion by IFN- in PCs and linked both to intracellular conjugation and ISG15 secretion. This leads to the identification of ISG15-secreting plasmablasts/PCs in patients with active SLE. Thus ISG15-secreting PCs represent a distinct pro-inflammatory PC subset providing an immunoglobulin-independent mechanism of PC action in human autoimmunity

Publication Title

Network Analysis Identifies Proinflammatory Plasma Cell Polarization for Secretion of ISG15 in Human Autoimmunity.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP069976
Human-Leishmania skin lesion transcriptome
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The goal of this study is to simultaneously examine host and parasite gene expression programs in skin lesions of human patients infected with the intracellular parasite Leishmania. We conducted high-resolution sequencing of the transcriptomes from early and late stage cutaneous leishmaniasis biopsies using an RNA-seq approach. An array of computational tools was applied to map reads to the Leishmania and human genomes and reconstruct full-length transcripts. mRNA abundance was determined for Leishmania and human genes, helping to explain tuning of the immune response to parasite transcriptomic profiles present in the lesion microenvironment. This data provided a deeper look at the transcriptomic profile of the host response in conjunction with a novel look at the parasite transcriptome in human cutaneous lesions. These data also offer the first glimpse of Leishmania gene expression profiles specific to the cutaneous manifestation of disease in human patients. This metatranscriptomic study provides a solid framework for future functional, genomic, and clinical studies of leishmaniasis as well as intracellular pathogenesis in general.

Publication Title

Meta-transcriptome Profiling of the Human-Leishmania braziliensis Cutaneous Lesion.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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