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accession-icon SRP008552
Comprehensive microRNA profiling in B-cells of human centenarians by massively parallel sequencing
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

In this study, we employed massively parallel sequencing technology to identify miRNAs expressed in B-cells from Ashkenazi Jewish centenarians, i.e., those living to a hundred and a human model of exceptional longevity, and younger controls without a family history of longevity. With data from 26.7 million reads comprising 9.4x108 bp from 3 centenarian and 3 control individuals, we discovered a total of 276 known miRNAs and 8 unknown miRNAs ranging several orders of magnitude in expression levels. A total of 22 miRNAs were found to be significantly upregulated, with only 2 miRNAs downregulated, in centenarians as compared to controls. Overall design: Examination of miRNA profile of two different ages

Publication Title

Comprehensive microRNA profiling in B-cells of human centenarians by massively parallel sequencing.

Sample Metadata Fields

Specimen part, Race, Subject

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accession-icon E-MEXP-493
Transcription profiling of Drosophila of wild type migratory border cells (WTBC), non-migrating slbo mutant border cells (slboBC) and non-migrating follicle cells (FC)
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Expression profiles of wild type migratory border cells (WTBC), non-migrating slbo mutant border cells (slboBC) and non-migrating follicle cells (FC)

Publication Title

Systematic analysis of the transcriptional switch inducing migration of border cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE72174
Expression data from bone marrow-derived dendritic cells cultured in media containing different osmolaric conditions.
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The functionality of dendritic cells might be influenced by alterations of their biophysic microenvironment, e.g. changes in salt concentration. Microarray analysis aims to evaluate whether dendritic cells cultured in medium containing different salt concentrations modulate their gene expression profile.

Publication Title

The renal microenvironment modifies dendritic cell phenotype.

Sample Metadata Fields

Specimen part

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accession-icon GSE22552
Transcriptome of the maturing erythroblast
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding the pattern of gene expression and identifying the specific genes expressed during erythropoiesis is crucial for a synthesis of erythroid developmental biology. Here we have isolated four distinct populations of erythroblasts at successive erythropoietin-dependent stages of erythropoiesis including the terminal, pyknotic stage. The transcriptome has been determined using Affymetrix arrays. First, we show that cells sorted by surface expression profile express not only significantly fewer genes than unsorted cells, but also significantly more differences in the expression levels of particular genes between stages than unsorted cells, demonstrating the importance of working with defined cell populations to identify lineage and temporally-specific patterns of gene expression. Second, using standard software and matched filtering we identify eleven differentially regulated genes and one continuously expressed gene previously undetected in erythroid expression studies with unknown roles in erythropoiesis (CA3, CALB1, CTSL2, FKBP1B, GSDMB, ITLN1, LIN7B, RRAD, RUNDC3A, UNQ1887, ZNF805, MYL12B). Finally, using transcription factor binding site analysis we identify potential transcription factors that may regulate gene expression during terminal erythropoiesis. Our stringent lists of differentially regulated and continuously expressed transcripts are a resource for functional studies of erythropoietic protein function and gene regulation.

Publication Title

Global gene expression analysis of human erythroid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE74337
Myc Depletion in Nave ESCs Induces a Pluripotent Dormant State Mimicking Embryonic Diapause
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Microarray expression analysis of mouse ESCs treated with the MYCi 10058-F4.

Publication Title

Myc Depletion Induces a Pluripotent Dormant State Mimicking Diapause.

Sample Metadata Fields

Specimen part

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accession-icon GSE90835
TRAF-STOPping atherosclerosis: targeting of CD40-induced TRAF6 signaling in macrophages reduces (established) atherosclerosis
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Inhibition of the costimulatory CD40-CD40L receptor/ligand dyad drastically reduces atherosclerosis. However, its long-term blockage can result in immune suppression. We recently identified small molecule inhibitors that block the interaction between CD40 and TNF Receptor Associated Factor (TRAF) 6 (TRAF-STOPs), while leaving CD40-TRAF2/3/5 interactions intact, thereby preserving CD40-mediated immunity. Here we further characterized the working mechanisms of TRAF-STOPs 6877002 and 6860766 in atherogenesis.

Publication Title

Targeting CD40-Induced TRAF6 Signaling in Macrophages Reduces Atherosclerosis.

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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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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